{'fraction_non_alphanumeric': 0.016856987493202826, 'fraction_numerical': 0.0032626427406199023, 'mean_word_length': 5.548042704626335, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Ineffective health management: A systematic review and meta-analysis of related factors.

PURPOSE
A standardized language system can support the elaboration of clinical guidelines by matching information from similar patterns of response to people. To identify the factors that are related to a higher likelihood of an ineffective health management nursing diagnosis.


METHODS
We conduct a systematic review and meta-analysis. An electronic search was conducted in MEDLINE databases via PubMed, Web of Science, SciELO, CINAHL, SCOPUS, and Embase between October and November 2020. Descriptive data were extracted from each article. The odds ratios for each etiological factor related to ineffective health management were directly extracted from the articles or calculated from the data described in the articles. The analysis of the measurements of exposure and the magnitude of the effect was performed using the statistical software R, and a forest plot was constructed for each etiological factor.


FINDINGS
Ten studies were included, and 15 related factors were recovered from the primary studies. The factors that significantly increased the likelihood of an ineffective health management nursing diagnosis were insufficient knowledge of the therapeutic regimen, perceived barriers, powerlessness, economic disadvantage, and difficulty managing complex treatment regimens. No effect was verified with the following factors: decision conflict, family pattern of healthcare, and inadequate number of cues to action.


CONCLUSION
Factors related to a higher likelihood of ineffective health management may be the focus of early and targeted nursing interventions, contributing to an improved quality of care.


CLINICAL RELEVANCE
Understanding exposure to these factors can improve diagnostic reasoning at different population levels.