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text: On February 5, 2000 "I Learned From The Best" peaked at #20 on the Billboard Adult Contemporary chart. (It later reached #13 on the Hot R&B/Hip-Hop Songs chart.) This was the fifth and final single from Whitney's My Love Is Your Love album. The song was written by Diane Warren and produced by David Foster. There were several dance remixes of the song, including mixes by Hex Hector and Junior Vasquez, which topped the dance charts. The video was filmed in Cologne, Germany, while Whitney was on tour.

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Follow on Twitter @yourboyham11
Like on Facebook What's The Action
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Have you ever noticed that all the funniest shows on TV are obsessed with musicals? Sunny did this. The South Park guys made Book Of Mormon. Larry David wrote himself into a musical for a season of Curb. The Office and 30 Rock had a couple of musical numbers written in.
Is it because there are so many aspects of musical theatre that TV comedy has adapted? Is it because musicals in themselves are such a hilarious concept? Is it as simple as the fact that so many comedic actors get their start in theatre> Or do the people capable of writing and filming such hilarious content seem to coincidentally have a love affair with the art of musicals? I don't really know the answer but it's an interesting thing to think about.
Anyway… this is great news. The Nightman Cometh is an all time, alllll time Sunny episode. "Take a Five", "I'm here", Charlie threatening to smack everyone, Mac's eyeliner, Boys Soul. Incredible stuff. I almost wish I didn't know it was coming. Like now my expectations are just so wildly high for this episode. But if any show has the ability to consistently live up to them, it's Sunny.
And no, I have no idea why that dramatic piano was playing in the background of that interview. Outrageous move by whatever company that was.
P.S. The Nightman Cometh opening is one of the sneaky funniest openings in Sunny history. I mean I guess that's hard to say because I can't remember an unfunny Sunny opening. No show is even close to as good at their openings as Sunny. It's tough to call one the best or the most underrated when almost every single one is laugh out loud funny. The conversations walking into the bar… the way they set up the episode titles… I mean it's always just so damn good.
Anyway, I just rewatched the episode and lost it when they start pressing Charlie on why he wrote the musical. Dennis asking "Who's the mark?" and Dee asking who's face they're shoving it in and Mac yelling "WHO IS THIS VERSUS?" It's such a perfect encapsulation of everything that Sunny is.


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Reality TV
The email was sent and my submission is in. All the buzz online recently has been about "Unbreakable" the reality tv show that sounds like it will combine obstacle racing and the Death Race into a potentially really great show. The guys from the Death Race/Spartan Race have teamed up with Pilgrim Studios to film a Challenge show. After much persuading from Joe (Desena) and Andy (Weinburg) over the past week or so about it, I sent the email. I coach two of their kids in skiing each weekend.
Do I think I am actually cut out for Reality TV, no not even sure if that's something you want to be. But again this show going to happen in my backyard so why not. After I submitted I thought of all the reasons, I am NOT the person you want for reality TV. A few of my highlights:
1. I do not have a name like Snookie or "The Situation". No, I am Margaret, to some Margo the Great but to those that know me well it's just Margaret and it's always been that way.
2. I do not/have never had a major drug addiction, criminal record, or for that matter even stolen a piece of candy. It's just not in my nature.
3. I have a loving family. They are supportive and always have been of my endeavors. They have supported and helped me in all stages of my life.
4. I do not have the hero story, yes I am a volunteer FF/EMT. But I have never been to War. I do not work for the NYFD or NYPD or any other organization like that. I just live in a small town and help out where I can.
5. I don't have a sex tape or other elicit actions with a celebrity on film. Again, not my style.
6. I don't secretly hoard every piece of mail or other paper that comes into my home. Actually, I recycle it before it leaves the post office.
7. I don't have some strange obsession with eating chalk or dishwasher detergent. I can do things to the extreme but normally it's just working out.
8. I don't have an anger issue or relish in provoking fights. I try to stay free of drama, although we all have our slip-ups. I believe in honesty and integrity.
9. I do own a sword, axe, sledge hammer and know how to shoot a gun. But I live in Vermont so it's ok.
10. I do not have an extreme weight loss journey to go on. Although, I give mad props to those who have been on that journey and changed their lives. I have never been larger than a size 8 (three years ago). Today I hover around a comfortable size 2.
11. I don't have a fear of eating weird things and that stuff doesn't really bother me. I once ate live termites in Costa Rica after a friend suggested it, they taste like bark and pepper. Really not a big deal.
12. I don't need to be famous. As much as I write about my life I don't crave the spotlight, in fact my dream is a small cabin in the woods with a kick ass wood stove and devoid of a television or noisy neighbors. I would although need internet to continue to blog.
13. My name is not Kardashian. I am not a house wife. I am not a mechanic or have a rad handle bar mustache. Although I am a dorm parent.
14. I do not own a restaurant or have an amazing culinary ability. I can ice a cake but can't make a cake into The Thinker or whip up a 3 course meal in an hour. My favorite food is pizza and I eat a lot of beans and rice. No Michelin Stars here.
15. I am just a real person. I work a normal job, I struggle with the same stresses as anyone else. I am just me and that's pretty rad, because I am the only me.
The thing I am is real. I am honest and I share my training and journey on this blog. Otherwise, I live a quiet life in the woods of Vermont at a ski area. I work hard and recently the handwork has paid dividends. I don't have a secret recipe for success, find something you love and go after it. That's all, so if the producers want someone REAL and not a character, call me.


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Lamb's Ears
Stachys byzantina
STAK-iss biz-an-TEE-nuh
Synonyms of Stachys byzantina (6) (Updated on 1-1-23 from Plants of the World Online): Eriostomum lanatum Hoffmanns. & Link (1809), Stachys germanica subsp. lanata Douin (1927), Stachys lanata Jacq. (1787)(nom. illeg.), Stachys lanata var. parvifolia K.Koch (1849), Stachys olympica Poir. (1817), Stachys taurica Zefir. (1951)
Stachys byzantina K.Koch is the accepted scientific name for the Lambs Ear. It was named and described by Karl Heinrich Emil Koch in Linnaea in 1849.
The genus, Stachys L., was named and described as such by Carl von Linnaeus in the second volume of the first edition of Species Plantarum 1753.
As of 1-1-23 when this page was last updated, Plants of the World Online lists 362 species in the Stachys genus. It is a member of the plant family Lamiaceae with 232 genera. Those numbers could change as updates are made on POWO.
I ordered my first Lambs Ear from Bluestone Perennials when I first moved to the farm after my grandfather passed away in 1981. They grew very well and made a HUGE clump by the time I moved in 1987. My second was in 2009 when I brought a pot from Lowe's when I was living at the mansion in Leland, Mississippi. It didn't last very long which is why I only have one photo of it. Then, after I moved back to the family farm in 2013, a good friend of mine (Karen) gave me a couple of plants her husband (Andy) had brought home from a local garden club's plant sale. I had gone to their house to deliver eggs and Andy wasn't home. Karen said Andy brought her these plants and she found out they were invasive so she gave them to me. Karen, by the way, is the one who told me I should start a blog way back in 2009. So, I did and I am still at it…
Family: Lamiaceae.
Origin: Parts of Turkey, Iran, and the Caucasus.
Zones: USDA Zones 4a-8b (-30 to 35° F).
Size: 12-18" or so, taller in flower.
Light: Sun to light shade.
Soil: Well-drained.
Water: Average water needs. Somewhat drought tolerant once established. DO NOT overwater…
I put the two Lambs' Ears in the bed on the south side of the house after I had it ready. Now, since this was my first year back to the farm since 1987 I had to get used to gardening here again. The other problem was that my parents had moved in a manufactured home and put a couple of Crape Myrtle bushes on the south side of the house with very tall cannas in the middle. The Crape Myrtle were descendants of the ones I had cut down in the early 1980's and it was like they came back to haunt me.
I always liked the Stachys byzantina for their soft, silver-white, fuzzy leaves. While they are considered invasive for some, I certainly have not had that problem. A little more would be better. They also self-sow, but mine have not even done that. Maybe I should leave more flowers on one of the clumps to see what happens.
The Lamb's Ears are always one of the first plants to come back in the spring. This plant is fairly frost-tolerant up to a point. In many parts of its recommended zones, this plant will be evergreen. In others, the plant will die back and emerge when it warms up in the spring, or even on warmer days during the winter. It is nothing to see this plant start to regrow in January if there are enough warm days.
Sometimes the lower leaves will turn brown and should be removed. This can be caused from aging or by the ground being wet under the plant causing their leaves to rot. Applying mulch under and around the plant will help.
To grow this plant successfully you need very well-draining soil. They DO NOT like wet soil and will surely rot if the soil stays too damp for too long.
They really like the sun but they also do OK in lightly shaded areas. The main problem with them being in too much shade is not necessarily the light, but mainly how fast moisture dries from their leaves after rain or watering. Too much moisture on their leaves can lead to rotting or brown spots.
Many consider the flowers of the Lamb's Ears not to be that showy. You need to take a closer look. This is a very complex plant! Bees, butterflies, and hummingbirds love this plant!
The Stachys byzantina is a very drought-tolerant plant but does appreciate regular watering during hot summer months.
While many people love this plant for its nice, fuzzy leaves, few realize its other benefits. Believe it or not, the leaves of these plants were once used on battlefields for dressing wounds. Not only do the leaves soak up blood and help it clot faster, they have antibacterial, antiseptic, and anti-inflammatory properties.
Leaves boiled in water can be used to make an infusion to treat pinkeye and styes. Tea made from this plant can be used to help treat fevers, diarrhea, sore mouth, internal bleeding, bee stings, and so on.
You can even eat the leaves in a salad or steam them. Hmmm… I should give that a try…
The above photo was taken on January 12. The early part of January was very cold, dipping down to -10° F a few times. Here the division I moved in the southeast corner bed is enjoying a few warm days.
Normally I leave the dead leaves and stems on my perennials until new growth appears in the spring. Last fall I cleaned off the south bed, removing most plants dead leaves and stems. The older and largest clump of the Lamb's Ears almost completely died out maybe because I had removed the dead leaves and stems instead of leaving them until spring. It was a good thing I had put a couple of divisions in other areas or I may have lost this plant.
As spring temperatures continued to warm up, many of the perennials and up and starting to leaf out. Others continue to wait for consistent warm temperatures.
Sometimes a Lamb's Ear pops up a little farther away from the other cluster of plants.
Looking very good on May 6.
By May 17 it was getting ready to flower.
Here we go again…
The Stachys byzantina had a very good summer in 2018…
Warmer temps and sun off and on make you think spring is here. Some of the perennials are testing the waters…
By April 7 (2019) the Lamb's Ears looked like they were off and running… The colony spread out nicely…
Looking GREAT by May 1 in 2019. Lingering cool temps delayed the growth of many perennials, but now that it is May, they will be taking off.
Getting in the flowering mode by May 25 in 2019 when the above photo was taken.
The Stachys byzantina continued to do well over the summer in 2019. I was fairly busy with the garden and other things in 2020 so I didn't take many plant photos around the house. Hopefully, I can do better in 2021.
We were breezing through January and part of February with fairly nice weather. We had some cold days, a little snow now and then, but it was bearable. Then the second week of February came and the temps dropped. Two weeks hovering around zero and below zero temps with snow on the ground. Then, it was over. It was 63° F when I took the above photo on February 23 and the Lamb's Ears were looking almost as if it were spring… GEEZ!
I will continue adding more photos and information as time goes by.
I hope you enjoyed this page and maybe found it useful. If you have any comments, questions or suggestions, I would like to hear from you. Please click on "like" if you visited this page. It helps us bloggers stay motivated. 🙂 You can check out the links below for further reading. The links take you directly to the genus and species of this plant.


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The iPod is 5 today. See Steve Jobs on stage at the original launch here.
Congratulations to Apple on 5 years of leadership in consumer electronics and for bringing the joy of portable digital audio to the masses.
Meet the rest of the iPod family tree here.
For those who know me, the 80Gb video iPod is the one on my Christmas wishlist 😉
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text: Research ReportsMeasuring Subcounty Differences in Population Health Using Hospital and Census-Derived Data Sets: The Missouri ZIP Health Rankings ProjectNagasako, Elna MD, PhD, MPH; Waterman, Brian MPH; Reidhead, Mathew MA; Lian, Min MD, PhD; Gehlert, Sarah PhD, MA, MSW Author Information Division of General Medical Sciences, Washington University School of Medicine in St. Louis, St. Louis, Missouri (Drs Nagasako and Lian); Center for Clinical Excellence, BJC HealthCare, St. Louis, Missouri (Dr Nagasako); Missouri Hospital Association, Jefferson City, Missouri (Messrs Waterman and Reidhead); George Warren Brown School of Social Work, Washington University in St. Louis, St. Louis, Missouri (Dr Gehlert); and Alvin J. Siteman Cancer Center, St. Louis, Missouri (Drs Lian and Gehlert). Correspondence: Elna Nagasako, MD, PhD, MPH, Division of General Medical Sciences, Washington University School of Medicine in St. Louis, Campus Box 8005, 4523 Clayton Ave, St. Louis, MO 63110 ([email protected]). This research was supported by the County Health Rankings & Roadmaps as a collaboration of University of Wisconsin Population Health Institute and the Robert Wood Johnson Foundation, grant 607K390. Additional research support was provided by BJC HealthCare, Missouri Hospital Association, and NIH/NCATS Washington University-ICTS grants UL1 TR000448 and KL2 TR000450. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH/NCATS. The authors thank Emily Schenk for her coordination of project advisory group activities and assistance with manuscript preparation, Josh Grotzinger and Mario Schootman for assistance with manuscript preparation and review, respectively, and the members of the project advisory group for their input to the project. This project was accepted for oral presentation in a panel at the American Public Health Association Annual Meeting on October 31, 2016.The authors have no conflict of interest to report.Supplemental digital content is available for this article. Direct URL citations appear in the printed text and are provided in the HTML and PDF versions of this article on the journal's Web site (http://www.JPHMP.com). This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Journal of Public Health Management and Practice 24(4):p 340-349, July/August 2018. | DOI: 10.1097/PHH.0000000000000578 Open SDC Metrics Abstract Context: Measures of population health at the subcounty level are needed to identify areas for focused interventions and to support local health improvement activities. Objective: To extend the County Health Rankings population health measurement model to the ZIP code level using widely available hospital and census-derived data sources. Design: Retrospective administrative data study. Setting: Missouri. Population: Missouri FY 2012-2014 hospital inpatient, outpatient, and emergency department discharge encounters (N = 36 176 377) and 2015 Nielsen data. Main Outcome Measures: ZIP code–level health factors and health outcomes indices. Results: Statistically significant measures of association were observed between the ZIP code–level population health indices and published County Health Rankings indices. Variation within counties was observed in both urban and rural areas. Substantial variation of the derived measures was observed at the ZIP code level with 20 (17.4%) Missouri counties having ZIP codes in both the top and bottom quintiles of health factors and health outcomes. Thirty of the 46 (65.2%) counties in the top 2 county quintiles had ZIP codes in the bottom 2 quintiles. Conclusions: This proof-of-concept analysis suggests that readily available hospital and census-derived data can be used to create measures of population health at the subcounty level. These widely available data sources could be used to identify areas of potential need within counties, engage community stakeholders, and target interventions. Effectively engaging communities to address the social, economic, environmental, clinical, and behavioral factors that affect health is critical for improving population health outcomes. Assessments have identified subcounty neighborhood-scale measures of health and related factors as a data need.1–4 Multiple metrics, indices, and rankings have been developed for assessing community health, including community and neighborhood indicators, well-being indices, deprivation indices, and health indicators and rankings.5–9 However, few of these are widely available at the subcounty level. Geographic variation in health outcomes and related risk factors at the small-area level (eg, substate and subcounty) has received increasing attention.10–15 Local-level primary data collection and aggregation are important for obtaining small-area data.1,6,16,17 Alternatively, extension of county-level population measures to the subcounty level using small-area estimation techniques can address this need.15,18–23 However, these approaches can be costly, resource intensive, or impeded by sampling constraints. This exploratory proof of concept study was funded by County Health Rankings (CHR) to (1) design a method to extend the CHR population health measurement framework to the ZIP code level using widely available data; (2) examine the agreement between published CHR indices and ZIP-derived measures reapportioned to the county level; and (3) quantify the subcounty variation at the ZIP code level in Missouri. Materials and Methods Data sources The primary study aim was to evaluate whether hospital and census-based data sets could be used within the CHR framework to create health factors and health outcomes indices at the ZIP code level in Missouri. Candidate model input variables were gathered from Missouri Hospital Association, Hospital Industry Data Institute FY 2012-FY 2014 (October 1, 2011 to September 30, 2014) hospital inpatient, outpatient, and emergency department discharge databases for Missouri residents (N = 36 176 377) and linked by reported residential ZIP code to Nielsen sociodemographic data that use spatially defined census block group-to-ZIP code correspondence.24 Administrative hospital discharge data are commonly used in public health applications such as disease surveillance programs,25–33 feature standardized record layouts, and are widely available.34 Candidate variables for the CHR socioeconomic domain were gathered primarily from the 2015 Nielsen Pop-Facts Premier database,24 which provides intercensal estimates based on block group-level American Community Survey data. The socioeconomic health factor domain was augmented with a socioeconomic deprivation index developed by Schootman, Lian, and colleagues.35–37 Supplemental Digital Content Table 1, available at https://links.lww.com/JPHMP/A317, displays all candidate and retained model variables, external validation variables, and data sources by CHR domain and subdomain. TABLE 1 - Summary Statistics and Correlation With CHR Subdomains for Hospital and Census-Derived Data Set Measures Retained as Final Model Inputsa Domain Subdomain Measure Mean (SD) CHR Correlation Health outcomes Mortality Premature death 5.7 (1.5) 0.66 Years productive life lost 101.2 (30.2) 0.69 Quality of Life ED visits 1371 (356.7) 0.34 IP visits 416.4 (74.7) 0.42 Low birth weight 55.1 (16.3) 0.21 Psychiatric diagnoses 30.6 (11.2) 0.45 Health factors Behavior Teen pregnancy 35 (13.1) 0.63 Sexually transmitted infections 57.7 (24.5) 0.27 Clinical Access Off-hours ED visits 0.4 (0.1) 0.33 Health care worker density 23.7 (7.1) 0.51 AHRQ PQI total 49.8 (15.6) 0.56 Environment Assault diagnoses 12.0 (5.8) 0.39 Injury-related mortality 2.6 (0.7) 0.12 Socioeconomic Status Education less than high school 0.16 (0.1) 0.68 Unemployment 0.09 (0.03) 0.62 Childhood poverty rate 0.21 (0.07) 0.71 Median HH income 42 667 (7995) 0.69 Socioeconomic deprivation 0 (1.1) 0.72 Abbreviations: AHRQ, Agency for Healthcare Research and Quality; CHR, County Health Rankings; ED, emergency department; HH, household; IP, inpatient; PQI, Prevention Quality Indicators.aOne Missouri county was excluded because of insufficient data. Employment of the aggregate data utilized as model inputs was governed by Hospital Industry Data Institute master data use agreements. Academic personnel participation was reviewed by the Washington University School of Medicine Human Research Protection Office. Measures Conceptual framework Variables were extracted on the basis of correspondence to the CHR conceptual framework,38 which includes a health factors domain with 4 subdomains (health behaviors, clinical care, social and economic factors, and physical environment) and a health outcomes domain with 2 subdomains (length of life and quality of life). International Classification of Diseases, Ninth Revision Clinical Modification codes for variables drawn from hospital data were identified through literature review, keyword search within diagnosis code descriptions, and expert input. A detailed description of variables evaluated for each CHR domain is included in the Supplemental Digital Content Table 1, available at https://links.lww.com/JPHMP/A317. Data analysis Evaluation of candidate model inputs Descriptive statistics and pairwise correlations were conducted to initially evaluate standardized candidate model inputs from hospital and Nielsen data sources against county-level CHR indices. Candidate measures with highly skewed distributions and nonpositive pairwise correlations were further evaluated and transformed or eliminated. Pairwise correlations with external validation measures and CHR county-level subdomain scores were used to further reduce candidate measures sets; only measures with statistically significant pairwise correlations of 0.20 or greater with assigned CHR subdomain scores were retained. Injury-related mortality was retained despite a low correlation to ensure conceptual domain coverage in principal components analyses. Table 1 contains a list of the candidate variables that were retained for inclusion in our final model. Model creation and evaluation at the county level Principal components analysis was applied to subdomain input sets to derive subdomain analog factor scores.39,40 Each yielded only 1 principal component with an eigenvalue greater than 1, indicating that a component was sufficient to explain the common variation in subdomain indicator groups. Linear regression was then used to model CHR Health Factors and Health Outcomes scores as a function of derived subdomain analog factor scores. Consistent with the CHR conceptual framework, the Health Factors model included derived factor scores for Behavior, Environment, Clinical Access, and Socioeconomic Status subdomains as independent variables. The Health Outcomes model included scores from the Quality of Life and Mortality subdomains supplemented with predicted scores from the regression model for Health Factors, for improved model fit, and predictive accuracy. Predicted values from the 2 regression models served as derived county-level analog scores for CHR Health Factors and Health Outcomes. Pairwise Pearson correlations and scatterplots were used to assess strength of association between analog scores and CHR scores. Model creation and evaluation at the ZIP code level Principal components analysis was applied to each ZIP-level input data set to derive ZIP-level CHR subdomain analog scores, using an identical approach to that used for the county-level analysis. Each ZIP-level subdomain model yielded a single component score with an eigenvalue greater than 1. Summarization of ZIP-level estimates into county-level estimates allowed comparison of ZIP-derived results with the CHR results. This spatial interpolation was facilitated using a ZIP ("source" zone) to county ("target" zone) weighting file derived by allocating ZCTA (the census surrogate of ZIP codes based on whole census blocks) population totals to counties based on ZCTA-county proportional allocations using the MABLE/Geocorr version 12 engine.41 The process was applied to all Missouri ZIP codes and provided an empirical basis for handling codes that overlap counties. ZIP-level Health Factors and Health Outcomes domain scores were computed using regression weights derived from county-level analyses. General linear mixed modeling was used to model derived ZIP-level CHR Health Factors and Health Outcomes scores as a function of random county-level intercepts. ZIP-to-County mapping weights produced intraclass correlation estimates of the variation in ZIP-level scores explained by within-county clustering. These weights produced Best Linear Unbiased Predictors of county-level Health Factors and Health Outcomes scores. Pairwise Pearson correlation coefficients and scatterplots were used to assess the strength of correlation between ZIP-derived analog scores reapportioned to the county-level and corresponding CHR scores. Cross-classification tables, weighted κ statistics, and agreement plots were used to assess pairwise agreement between quintile-ranked CHR scores and corresponding derived analogs. Mapped displays of CHR and ZIP-derived quintile-ranked results were produced for visual comparison. Assessment of intracounty variation at the ZIP code level The proportion of variation at subcounty level was assessed to determine within-county variation using model-based intraclass correlations. Concordance between the ZIP code and county-level quintile ranking in health factors and health outcomes was also assessed. Advisory group This project was informed by an advisory group comprising local public health, philanthropic, hospital association, hospital community benefit, academic, and community advocate organization members. Quarterly meetings were held to obtain ongoing immediate feedback on this project's aims, methods, and results to ensure that the study's approach would address the differing needs of multiple stakeholders. Results Evaluation of candidate model inputs We found that model inputs drawn from hospital and census-derived data were significantly correlated with CHR indices. Table 1 contains summary statistics and correlation with CHR subdomains for all candidate variables retained as final model inputs. All pairwise correlations were statistically significant at P < .05, with the exception of injury-related mortality, which was retained to help ensure Environment subdomain coverage. Model creation and evaluation at the county level Principal components analysis produced models for health factors and health outcomes using hospital and commercial data with moderate to substantial correlations with CHR domain and subdomain scores, yielding 1 significant factor for each subdomain. Variable inputs, principal component eigenvalues, and pairwise correlations with CHR subdomain scores for 114 Missouri counties are displayed in Supplemental Digital Content Table 2, available at https://links.lww.com/JPHMP/A317. One Missouri county lacked sufficient data and was excluded. Correlations between CHR Health Outcomes and Health Factors overall domain scores and county-level indices calculated from derived subdomain analog scores using standard CHR weights are displayed in Table 2. All pairwise correlations were statistically significant (P < .05). TABLE 2 - Correlation Between CHR Domain Scores and Domain Scores Derived From Hospital and Census-Derived Data Sets for 114 Missouri Countiesa CHR Health Factors CHR Health Outcomes Model results derived from county-level data Health Factors Analog 0.88 0.79 Health Outcomes Analog 0.85 0.83 Model results derived from ZIP code–level datab Health Factors Analog 0.87 0.82 Health Outcomes Analog 0.84 0.83 Abbreviation: CHR, County Health Rankings.aOne Missouri county was excluded due to insufficient data.bZIP code–level model results proportionally allocated and summarized to county level. Quintile agreement between CHR Health Factors and the derived analogs for 114 Missouri counties was 54%, with 92% of counties landing within 1 quintile (weighted κ = 0.66, P < .05). For Health Outcomes, 43% of counties fell within the same quintile and 89% of ZIP-derived analogs fell within 1 quintile difference of the CHR results for 2015 (weighted κ = 0.54, P < .05). Similar agreement was observed when evaluated as octiles and deciles. Scatterplots and correlations between CHR Health Outcomes and Health Factors overall domain scores and county-level indices calculated from derived subdomain analog scores using standard CHR weights are displayed in Supplemental Digital Content Figures 1 and 2, available at https://links.lww.com/JPHMP/A317.FIGURE 1: County and ZIP-level rankings derived from hospital and census-derived data sets vs. 2015 county health rankings resultsFIGURE 2: Subcounty variation in health factors and outcomes in urban St. Louis City & County, MissouriFIGURE 3: Subcounty variation in health factors and outcomes in rural Franklin County, MissouriModel creation and evaluation at the ZIP code level Concordance between ZIP code–level health factors and health outcomes scores for Missouri derived from hospital and commercial data sets and the original CHR county scores was evaluated by interpolating the ZIP code results to the county level. We found moderate to substantial, statistically significant agreement between the published CHR indices and the derived indices. Correlations between CHR Health Outcomes and Health Factors overall domain scores and ZIP-level analogs calculated from derived subdomain analog scores using standard CHR weights are displayed in Table 2. All pairwise correlations were statistically significant (P < .05). Quintile agreement between CHR Health Factors and the ZIP-derived analogs for Missouri counties was 52% with 94% of counties landing within 1 quintile (weighted κ = 0.66, P < .05) (see Supplemental Digital Content Figure 3, available at https://links.lww.com/JPHMP/A317). For Health Outcomes, 49% of counties fell within the same quintile and 84% of ZIP-derived analogs fell within 1 quintile of the 2015 CHR results (weighted κ = 0.56, P < .05) (see Supplemental Digital Content Figure 4, available at https://links.lww.com/JPHMP/A317). Mapped representations of ZIP-level ranking quintiles for Missouri based on derived Health Factors and Health Outcomes indices versus 2015 CHR indices are displayed in Figure 1 (color version available in Supplemental Digital Content Figure 5, available at https://links.lww.com/JPHMP/A317). Evaluation of subcounty variation in health factors and outcomes ZIP code–level health factors and outcomes indices showed substantial variation at the ZIP code level. Mixed models yielded intraclass correlation estimates associated with county-level random intercepts of 0.44 and 0.5 for Health Factors and Health Outcomes, respectively, indicating that 50% to 56% of the variance in derived domain scores is observed at the ZIP code level. Substantial variation was observed at the ZIP code level, with 20 (17.4%) counties having ZIP codes in both the top and bottom quintiles of health factors and health outcomes. Thirty of the 46 (65.2%) counties in the top 2 quintiles had ZIP codes in the bottom 2 quintiles. This was observed in both urban and rural areas (see Figures 2 and 3; color versions available in Supplemental Digital Content Figures 6 and 7, available at https://links.lww.com/JPHMP/A317). Discussion Using the conceptual framework of the County Health Rankings & Roadmaps,38 we identified candidate measures available at the ZIP code level in hospital discharge and commercial census-derived data sets for each CHR health factors and health outcomes domain and subdomain. We derived ZIP code–level health factors and health outcomes scores for Missouri using these measures. We evaluated concordance with the original CHR indices at the county level by apportioning the ZIP code results to the county level. Finally, we assessed the extent of subcounty variation in health factors and outcomes indicated by these indices. The results of this exploratory study show statistically significant agreement between published CHR indices and ZIP code–level indices derived using hospital and census-derived data that are widely available at subcounty levels. Although the degree of agreement was limited, this finding suggests that despite the limitations of hospital data in capturing population health, these data can be combined with other sources to assess variation in health at the subcounty level. These findings serve as a starting point for further work to develop data sources for use by community stakeholders working to improve health in communities. In addition, mixed-models results and graphical displays illustrate how these health factors and health outcomes indices vary at subcounty levels (see Figures 1-3; color versions available in Supplemental Digital Content Figures 5-7, available at https://links.lww.com/JPHMP/A317). This underscores the potential for subcounty data to identify small-area variation and target scarce community health improvement resources. It is important to note that the results of this exploratory study are not presented to suggest the model and measures we derived are replications of or alternatives to CHR constructs. Rather, they are offered as "proof-of-concept" evidence that selected data sources can be used in the context of the CHR framework to derive alternative measures that correspond sufficiently with established county-level rankings to support their plausible use as a basis for assessing subcounty variation demonstrably associated with CHR domains. Although hospital data will not completely capture population health, local decision making around public health of necessity often involves hospitals and hospital data. Given the origin of our approach in the needs of hospital-public health partnerships, the objective of our exploratory study was to apply these data in a way that was appropriate and realistic for local stakeholder groups. We assert that the pattern and magnitude of presented correlations between CHR and our derived analog measures support further exploration of the practical use of these measures as a basis for identifying subcounty areas of higher and lower relative community health need. Geographic variation in health factors and outcomes at the small-area level, including the substate, subcounty, and census tract levels, has been noted in many contexts.10–12 Subcounty health data and their drivers can be used by local public health departments to inform policy decisions and engage community partners. Yet, data are often unavailable at the ZIP code or census tract levels, and small area data have been identified as a need at both the local and federal levels.1–4,6 Primary data collection using surveys at the subcounty level and the application of small-area estimation techniques to existing survey results are an important source of subcounty data.1,16,17 However, data collection can be costly and resource intensive1 and small-area estimation may be impeded by the lack of rural data, the potential discordance between geographic areas and the area boundaries of interest, and the area-level context effect on outcomes independent of individual characteristics.17 Hospital administrative data have been used for public health surveillance and the detection of geographic variation in factors and outcomes.11,12,25–33 An assessment of chronic disease prevalence using emergency department administrative data found rates comparable with those from survey data and that significant neighborhood variation in diabetes burden was identifiable using this method.12 Given the importance of sociodemographic determinants,9 we added Nielsen data to hospital administrative data. Our resulting ZIP code–level indices for the CHR domains and subdomains in Missouri agreed with our predefined gold standard of the published CHR county-level measures and identified significant subcounty-level variation. This supports the continued exploration of hospital administrative data as a subcounty-level source and identifies a method for combining hospital and commercial data sets to produce factors and rankings scalable to other states. Geographically based health rankings and indicators have been used to draw media attention to public health issues, including health disparities, and to engage communities in partnerships to improve health,7,8,42,43 suggesting that ZIP code–level measures can be used for engagement of communities to address identified subcounty data needs.1,4 In addition, there is a need for the alignment of hospital community benefits spending with community needs.44–47 Use of data sets readily available to hospitals to produce public health data can help support these alignment efforts via the engagement of hospital stakeholders. Limitations Our approach has limitations. First, because a goal was to use data readily accessible in other states, we did not use data sources arguably more directly related to the CHR domains, yet not widely available across states. For example, the restriction to hospital and census-derived data limited the measures available in the environmental health factors subdomain, which has been identified as a challenge for the CHR rankings themselves.48 Future iterations of these models will investigate the incorporation of additional variables in the environmental domain such as particulate matter, land use, and land cover data. Second, the use of hospital administrative data in public health settings has limitations.27,30,32,33,49,50 The population pool for hospital data sets may not be as representative of the general population as population-based surveys. Although rural data availability is a hospital data strength, low population sometimes meant lack of ZIP code–level data. Also, in both rural and nonrural settings, patients with financial, spatial, and access barriers may seek hospital care at increased or decreased rates, yielding selection bias. The majority of hospital emergency department Medicaid and Medicare patient visits are considered nonurgent—with a diagnosis of acute upper respiratory infection most common. This may present autocorrelation between our measures of hospital utilization and socioeconomic factors. Third, although address is collected as a routine part of billing, patient ZIP code was sometimes unavailable. Some missing ZIP code data may be attributable to errors in data collection; the data generation process also excludes patients who are homeless or decline to provide information on residence. However, this occurred in a relatively small proportion of our discharge records (0.08%) and is unlikely to play a major role in our analysis. In addition, Nielsen data are estimated with American Community Survey block group-level estimates and subject to similar sampling bias. While Nielsen uses enhanced aggregation and distribution techniques to minimize this bias, the potential for artificial spreading of actual variance may arise as a result. Nielsen data are readily available to hospitals as they are widely used for strategic planning purposes, and the use of Nielsen databases can reduce time spent on data extraction; however, the cost of these data could be prohibitive to health departments or other organizations that do not already have access to these data. We anticipate that the substitution of Nielsen data with publicly available American Community Survey data would yield similar results; this is a topic for further investigation. Also, only a single data set encompassing 1 state was used in the study. Finally, our approach is subject to the limitations inherent in producing health rankings for community engagement, including the proliferation of measures encountered by local communities and the need to link the data to community action by ensuring its meaningfulness.2,5,6,51Implications for Policy & Practice The use of widely available hospital discharge data supplemented with census-derived area-level data could allow potential application of this method of producing subcounty data in other states. Estimates of health factors and outcomes at the ZIP code level can target resources to areas most in need and engage community members using more geographically focused data. If applied in an ongoing way, this approach could facilitate evaluations of the effectiveness of population health improvement efforts at the subcounty level. Conclusion We demonstrated that hospital and census-derived data can be used to extend a commonly used framework for county-level population health to subcounty areas. Although hospital data reflect only a subset of the health of a community, this study suggests that its use in combination with other sources warrants further exploration as a subcounty data source. Our future work will include making these results publicly available using an interactive platform, evaluating their use in meeting data needs of Missouri stakeholders, and evaluating performance of this method on successive years of data, in other states, and with the inclusion of additional data sources for domains not readily captured in hospital and census-derived data sets.References 1. Castrucci BC, Rhoades EK, Leider JP, Hearne S. What gets measured gets done: an assessment of local data uses and needs in large urban health departments. J Public Health Manag Pract. 2015;21(1 suppl):S38–S48. 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10 Tips for Parents to Calm Down a Stressed Child
- Updated on 18 Jul 2021
- Parents Corner
- orchidadmin
- 4 mins read
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Are your child's tantrums driving you crazy? Do they seem to be distressed or in pain, but you're not sure why? If so, don't worry! There are many ways that parents can help their stressed child calm down.
Unless we do not have answers to questions like "What's the issue?" "What is causing them to be so distressed?" "Why are they not confiding in us?", we cannot craft a plan that will work.
So, What Is the Stepping Stone?
First, it's essential to find out why they seem to be in distress. Is it a child's developmental issue, or is there something else going on that we can fix?
The best way to know for sure is by asking them what makes them feel better when they're too stressed. It will lead us directly to their coping skills.
What Is the Reason Behind a Stressed Child?
● It could be due to some child's developmental issues. Kids with developmental issues constantly compare themselves to others and feel inferior because they don't have the skill set as everyone else seems to have. They also get overwhelmed by too much sensory overload, which can trigger a stress response.
● It could be due to physical violence. Violence stresses kids and makes them incredibly timid with people to ensure they don't get hurt again. Watch out for any signs, as this could help in handling kids better.
● A stressed child can be experiencing a lot of anxiety. The anxiety can be due to various reasons, such as moving to another school or a new home. The child may constantly be worrying about what will happen next and feel helpless to control the outcome.
● Child psychology is directly related to parents' emotional well-being and can severely impact children's development. For example, a child experiencing trauma can smile constantly, but they may be terribly scared inside due to what's happening at home between the parents.
● Childhood trauma- these children may act out in anger, throw tantrums or withdraw from society as a way for them to cope with difficult memories such as abuse, death of a loved one, etc.
● Stress could also be related to their schoolwork- a child might constantly be stressed due to assignments and losing sleep and appetite.
● Anxious children can feel stressed in social situations. For example, a family gathering (worries about what will happen) or getting bullied at school (may have nightmares). They cannot recognize the difference between when a situation is friendly or unfriendly and dangerous.
What Is the Role of Family and Friends in Helping a Stressed Child?
Family and friends have a vital role to play when it comes to a stressed child. A child may be experiencing anxiety but be unable to articulate it, so it's the job of those around them to notice what is going on.
If stress and anxiety are not appropriately addressed in time, it can lead to more severe cases of child anxiety. Parents and other adults in the child's life should be mindful to recognize when they might need professional help for their stressed child, like counselling for children.
10 Ways in Which Parents Can Help Their Children While They Are Stressed.
1. A child's behaviour can tell you a lot. Focus on the child's feelings and what is going through their mind. Parents should try to get into a child's shoes to understand how they are feeling, as this can help them determine what might be causing it.
2. Arrange an activity that will distract them from whatever is stressing them. It is a great way to initiate child care and help them release their energy in a healthy way.
3. Identify the child's stressors and help them to avoid them as much as possible. It can be difficult for many parents, but if the child is constantly running away from their responsibilities, there might be something wrong.
4. Validate a stressed child's feelings and help them understand that what they are feeling is normal, giving a child the strength necessary to manage their stressors.
5. Provide children with opportunities for growth by offering them constructive feedback about themselves from time to time instead of always telling them that they are good.
6. Make the child feel safe and loved by parents, family members, teachers or other adults they can trust with those feelings in their life. It will help decrease the child's stress levels dramatically.
7. Give the child a sense of purpose so that they know what is expected from them when it comes to taking care of themselves.
8. Provide the child with control in their life by letting them know what they can do alone. It can start with simple tasks such as brushing teeth and then gradually giving them more responsibilities until they can do most of them.
9. Praise the child for taking care of themselves and their responsibilities. It will make them feel accomplished and will help get rid of any stress.
10. Do not equate success with how well they do academically or in sports.
The key to helping a stressed child is understanding what they need and providing it to them.
You can help your children in many ways, but the most important thing you can do is provide them with love and support. If a stressed child is not feeling loved or supported by their parents, they can become anxious and closed off. Being constantly stressed can lead to various chronic issues like anxiety.
It's also worth noting that sometimes stress comes from within themselves when the "fight-or-flight" response gets triggered before we even know about it because of our body's natural defences against danger; this happens without us consciously aware of it happening!
So be patient with your kids as well as yourself during these times, and remember that there are things out there to help them calm down and relax.
Also Read:
How to help kids understand child emotions


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Hotel Room
oleh jxfala
Personal work from 2008 which shows an hotel room. The furnitures and their position in the room are inspired by actual pictures. All models are made by myself, therefore I did not used library models or pre-made shaders. The target of this project was to achieve three different photorealistic illumination for a room.
jxfala Apecchio, Italy
Tentang Saya
3d model and sculpting, photorealisti renders, vfx and video editing.
$25 USD/jam


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The Panoramio photo sharing service is linked to Google Earth. You can upload images to Panoramio, geotag them (pick a spot on the map where your picture was taken), and they may be selected for viewing via Google Earth. They tend to only select those photos that are primarily landscapes. If a person or animal is the central element of the photo, it is unlikely to be selected for Google Earth. The selection process takes a while, with about a monthly schedule for inclusion of new photos into Google Earth, so don't get impatient.
I've uploaded some of my photos to Panoramio.
Viewed 37563 times by 6694 viewers


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Way back when the pandemic started I decided to load some film and take photos of my kids remote schooling and other things as we were all suck at home together. I figured it would be a nice project to work on until things got better. I've been having problems for a while getting into the photography groove again and hoped this would help.
Yeah I know. Things never got better. Yes the kids made it back to school for relatively normal year but I never got into a groove. Still haven't really. I forgot about my roll in 2020 and only picked it up to kill it a couple months ago. Then I found out that the place where I used to develop film had shut down during the pandemic and had to find a new one.
Was a lot of fun to finally see my pictures though. I haven't had a proper time capsule like this in decades.
I also discovered that I did take my camera out a couple times in summer 2020 and winter 2020/21 even though I'd completely forgotten doing so.
And the last couple of shots killing the roll this year.


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Nodin Mental Health Services
Nodin Mental Health Services has been providing mental health services throughout the COVID-19 pandemic, either by phone/Ontario Telemedicine Network, or in-person counselling at our main office. All staff are back in the office and below details each of Nodin's services and how they are supporting clients and communities currently. Please disregard any previous service updates from Nodin CFI as phone numbers, for example, changed.
Main Reception
Nodin's main reception continues to operate, connecting callers to services and staff. The number for reception is 807-737-4011 and the toll-free number is 1-800-446-7863.
Intake Service
Intake continues to operate and receives referrals, including self-referrals. Fax referrals to 807-737-7532 and/or if you have questions or are self-referring please call Linda Chikane-Chapman, Intake Manager, at 807-737-6142. Referral forms can be found on SLFNHA's website and/or by calling the Intake Manager.
Outpatient Mental Health Service
- Providing in person services for SLMHC ER referrals of a more acute
- No travel arrangements made for community members to attend counselling in Sioux
- Additional supports will be offered via OTN/Phone as
- Travelling counsellors will be Tele-Working and not providing in community services. Instead, they will be reaching out to current caseloads via OTN/Phone.
On-Call Service
Nodin CFI On-Call workers provide phone monitoring outside regular office hours for a period of seven days: Monday to Friday from 4:30 p.m. to 8:30 a.m. and 24 hours on weekends and statutory holidays. On-Call does not provide one-on-one counselling in-office. This service is only available to clients currently attending Nodin's Outpatient Mental Health Service and communities who call to arrange support following a community tragedy/crisis.
If new referrals are received outside regular office hours or on weekends and statutory holidays, it is important for referral sources to know that it is extremely challenging for on-call to locate individuals of high acuity after-hours or on weekends, often contact does not happen. Nodin does not provide one-on-one counselling face-to-face after hours and/or on weekends/stats.
For this reason, we ask that high acuity individuals remain in-patient and monitored by the referral source, not discharged to Nodin unless they are thoroughly assessed as safe to be received for outpatient support and they have a safety plan in place. Due to the high demand required of our on-call service to respond to community tragedies and support offered to our Outpatient Mental Health clients, we are not equipped with appropriate resources to monitor high risk cases. Each shift only has one On-Call Supervisor and one On-Call Worker. If an individual is assessed as safe to be received for outpatient services, Nodin will accept to see these individuals Monday to Friday between 8:30-4:30 pm.
For More Information call:
After Hours/ Weekends and Holidays:
On-Call Worker (Cell: 807-737-9257)
On-Call Supervisor (Cell: 807-737-9256)
Crisis Response Program
No changes to this service, staff are teleworking but responding to all calls. Any requests for support in community must be cleared by the community's Pandemic
Nishnawbe Aski Nation Mental Health and Addictions Pandemic Response Program – NAN HOPE
(Launched August 10, 2020)
***phone, text, chat***
In response to the identified need to have timely mental health and addiction support available to all NAN community members during this Covid-19 pandemic, NAN in collaboration with Regional Health Authorities, Tribal Councils, and community organizations, the "Mental Health and Addictions Pandemic response Program" called NAN-HOPE was designed and launched August 10, 2020.
NAN HOPE is a telephone and Virtual Rapid Access Centre that offers 3 services:
- 24/7 toll free line – 1-844-NAN-HOPE (626-4673) rapid access to confidential crisis services
- Navigation – connect to on-gong mental health and addiction support services in home communities and existing regional supports
- Rapid Access to clinical and mental health counselling
Calls, texts and chats are first picked up by Dalton Associates (large mental health organization in the south who have experience working with First Nations) and not by Nodin.
In the spirit of collaboration and to enhance support to community members within SLFNHA's catchment area, Nodin Mental Health Services also developed a team who are on schedule to receive calls transferred by Dalton to our team to provide supportive counselling. Having Nodin's team available too, offers a means for individuals to connect with those who are familiar with our region and who can support briefly and/or make referrals to Nodin or other partners for longer-term support. Dalton also will connect individuals to other mental health supports (e.g. Tribal Council Mental Wellness Teams, community mental health workers).
When calls are received through Dalton, they are triaged and type of response ranges. Dalton has counsellors available immediately to respond to callers who need immediate crisis intervention. If deescalated and/or someone is calling that is not in a crisis state, calls can be transferred to Nodin's team, Tribal Council teams, community mental health workers etc. The goal is to make sure callers have immediate response. If the situation is acute, Dalton's team does not transfer to Nodin but deals directly with the situation.
The line is open to callers experiencing a mental health and/or addictions issue who require support. They do not have to be in an acute crisis. Services include: 24/7 rapid access support line, 24/7 emergency/crisis support line, triage and live service navigation support, access to on-call counsellors, and on-going case management. If you have more questions please call the NAN HOPE line.
Travelling Mental Health Counsellors
The usual practice has been for Mental Health Counsellors to travel into assigned communities to provide counselling. Due to the pandemic, all travel has stopped. Instead, the counsellors have been providing telephone/OTN counselling. Some communities have been open to having counsellors travelling in, but this is only if community leadership permits this and COVID-19 safety protocols are followed.
Note: Travelling counsellors have case lists made up of individuals who have been referred to Nodin. If there are individuals who want counsellors to see them in-community and at this time through OTN and/or telephone, referrals must be sent to our intake service. NOTE: please call the intake department to ask if Nodin has a counsellor assigned to a specific community as there are vacancies. All new referrals can be made by sending a referral by fax to our Nodin Intake department at 807-737-7532.
Youth School Counsellors
- Sioux North High School Counsellors continue to provide services as long as the school remains They will also be reaching out to current caseloads via OTN/Phone.
- Pelican Falls Frist Nations High School Counsellors are tele-working. They will be reaching out to current caseloads via OTN/Phone.
Children's Mental Health and Addictions Workers
- Will provide services based on individual community restrictions
Traditional Healing
- Case by case requests for support will be managed
Mental Health Support to Hostel
Nodin recognizes how the hostel staff and visitors in isolation at the hostel may require mental health support. As per request from the hostel, Nodin is providing counselling to any staff at the hostel who require support during this pandemic and also counselling support is available to any hostel visitor who has to isolate in the hostel. Posters of this service were sent to the hostel.
Crisis Response and Harm Reduction Mobile Outreach Team:
Nodin Mental Health Services has joined a collaborative project administered by Northwestern Health Unit Sioux Lookout. The Northwestern Health Unit (NWHU), Sioux Lookout Ontario Provincial Police (OPP), Sioux Lookout First Nations Health Authority (SLFNHA) and Canadian Mental Health Association, Kenora Branch (CMHA) will be working together on a Crisis Response and Harm Reduction Mobile Outreach Team for Sioux Lookout. Project duration: 2020-2024.
The Crisis Response and Harm Reduction Mobile Outreach Team is a client-focused program that efficiently connects healthcare professionals with individuals having complex needs who are unable to access or navigate the healthcare system via traditional streams. The goals of the team include collaboration amongst local and regional services providers for timely access to services, enhancing access to primary care, harm reduction and crisis response for those living with substance abuse and mental health issues in Sioux Lookout, and reducing the number of incidents that result in emergency department visits and criminal charges. Outreach allows for the team to meet individuals where they are at and help them access appropriate services.
The team consists of nurses, 2-Nodin Counsellors, and a physician to increase capacity around crisis response, harm reduction and case management. The project also supports an after-hours call-in/text line managed by Nahnahda-Wee-ee-Waywin that provides 24/7 crisis intervention services to individuals in local and remote communities.
Nodin is in the process of recruiting for the counsellor positions.
COVID-19 Regional Response
Approaches to Community Wellbeing (ACW)'s Public Health Physician, Dr. John Guilfoyle, is coordinating SLFNHA's COVID-19 Regional Response (CRRT). The Director of Approaches to Community Wellbeing is on that team, coordinating public health operations.
Public Health Operations:
- Supporting health promotion, public health tools and checklists to support program delivery and response at the community-level and supporting capacity around case and contact management of COVID-19.
- Providing incident management system and basic emergency management trainings. Our staff also participate on the
- Planning team, which supports COVID-19 surveillance, strategic planning, and evaluating our response to
Ongoing ACW Services
COVID-19 Vaccination
- Provided health promotion materials related to the COVID-19 vaccination, in partnership with the SLFNHA communications department.
- Supports communities in their planning and implementation of their own health promotion strategies and clinic operations.
- Currently Operation Remote Immunity is coming to an end and we are planning how those who need their second dose will receive
- Working with partners to discuss ongoing availability of the vaccine in
- Supporting the road access communities in their vaccination programs, which are underway now.
Harm Reduction
- While responding to COVID-19, ACW is maintaining our essential services. This includes ongoing harm reduction supply distribution (i.e., safe injection kits and naloxone).
- Supporting program direction and training
Roots for Community Wellbeing
- Maintain the immunization repository by entering immunization data and answering calls for information about immunization
Preventing Infectious Diseases
- Provide case and contact management support for
Raising our Children
- Engage with youth workers and youth through email and the Anishinabe Youth
- Providing packages to people who deliver babies in Sioux Lookout with baby supplies and supplies to prevent the spread of COVID-19.
Services will continue to be provided virtually as much as possible.
Complex care case coordinators are very active helping families during these difficult times. The team is assisting with those individual Jordan's Principle applications that can be approved at our level, ordered, and paid for by SLFNHA (these are regularly requested items under 10,000).
Clinical staff have been vaccinated and with a negative rapid covid test are traveling to communities who are willing to approve our travel. These include audiology, Occupational therapy, Physiotherapy, Speech language pathology, psychology, autism diagnostic service, and FASD diagnostic service.
Our clinic coordinators continue to reach to pandemic leads and community leadership on a weekly basis to see what community parameters are in place.
In-House staff rotating schedule has been put on hiatus and only essential workers are working in- person at the Primary Care Team building at 55 Queen.
Allied Health Professionals are still seeing clients, predominantly via virtual means or via telephone.
Some clients may be seen in-person, based on virtual assessment by the Allied Health Professionals.
Travel to those communities that have agreed to receive Allied Health Services will continue – presently there are ten community visits planned for the month of March 2021 – this is based on community direction and dependant on the status of the pandemic in communities.
JMK Hostels will open 24/7 as this operation is deemed to be an essential service.
Employees have been and are being vaccinated.
All services provided at JMK Hostels will be available and includes Accommodation,
Ground Transportation, Security, Dietary, Housekeeping, Laundry, Maintenance, Front Desk, Wellness and Guest Services, Airport Interpreter, Dispatch and Discharge Coordinator.
All clients required to comply mandatory wearing for masks, practise 2m social distancing, hand sanitizing, and frequent handwashing.
Isolation rooms available at JMK 1 hostel for those requiring precautionary measures.
After-hour ground transportation is available for clients discharged late from medical facilities and vehicles are sanitized after use.
Limit of one person per room unless sharing with an immediate family member/escort.
No visitor policy for JMK 1 & 2 in effect for duration of COVID-19 pandemic.
Limit of 2 persons per ground transportation trip unless all are in the same family.
Mandatory completion for covid-19 screening for clients and staff entering JMK 1 & 2 Hostels.
Connecting link access between SLMHC Hospital and JMK 1 Hostel is closed until further notice.
Wellness checks completed for each guestroom on a daily basis.
Physicians continue to work out of the Northern Clinic when scheduled.
he Northern Clinic is operating as usual, with the following restrictions:
Hours: 9 a.m. to 5 p.m. (closed 12 p.m. to 1 p.m.)
Escorts are asked to wait outside of the clinic (Social Distancing Guidelines)
Clients will be screened for symptoms of COVID-19 (not to be alarmed all clinics have implemented the screening process to stop the spread of COVID-19)
Clients requiring an appointment/contact with their family physician are asked to call the Northern Clinic, where they will be assessed. They would then be provided with a phone consult appointment, telehealth appointment or potentially on-site appointment with their physician or nurse practitioner.


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A taste of Hollywood in New Rochelle! Famous Actor and Jazz Singer have lovingly resided in this 4219 sq. ft. 6 Bedroom, 3.5 Bath Colonial home in Paine Heights. Located on 0.40 of an Acre. the home boasts an indoor Endless Spa Pool ® where you can swim on your schedule and at your own pace, adjusting to any speed or ability, perfect for exercise, health or just fun. (The Endless Pool ® is a spa pool enabling the swimmer to swim in place and for any distance – no laps). There is a Marble Entrance Foyer, Formal Dining Room, Living Room with a fireplace, and antique doors leading to the large, tiled Spa Room with its own Shower, lounge and private side deck. The dine-in modern kitchen has easy access to a rear, private patio with a wisteria covering (in season)! The Second floor features a Master en suite Bedroom with a large deck and walk-in closet. There are 3 additional Bedrooms, and a hall bath. The third floor features 2 bedrooms, a hall bath and ample attic storage space. Just 30 Minutes to New York City. Welcome home!
Public Open House Sunday, February 15th, 2015, 1-3 p.m. Being offered at $860,000. MLS# 4501267. Call today for an appointment if you cannot attend the open house!
New Rochelle is GREAT!


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Galette des rois by Pierre Hermé.
. . . . .
an illustrated journey of an american in paris
Galette des rois by Pierre Hermé.
. . . . .
The galette des rois is the indisputable mascot of the month of January in France, flocking every school, workplace, pastry shop window, and get-together. Galette de quoi? Two buttery layers of puff pastry sandwich a rich almond cream and a tiny toy, determining the king or queen for the day. And I am much too competitive to eat just one losing slice…
Find my muse & my favorite here.
Want to decide for yourself? Click here.
Want to make it at home? Click here.
. . . . .


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Anderson Lane
2301 West Anderson Lane #100
Austin, TX 78757 (512) 582-0879
Austin, TX 78757 (512) 582-0879
Open 6a-8p M-F / 7a-8p email@example.com
Call for current hours
Call for current hours
About the Summer Moon Coffee Bar
on Anderson Lane
This North Austin coffee shop is located on the corner of West Anderson Ln and Burnet Rd in the Crestview/Allandale neighborhood. Summer Moon Anderson is minutes away from Mopac Expressway/Texas Highway Loop 1, US Hwy-183 and just down the street from Black Swan Yoga North. A brightly-lit favorite for doing work, Summer Moon Anderson features online ordering, free wi-fi and pet-friendly patio seating.