{'fraction_non_alphanumeric': 0.01634580457682528, 'fraction_numerical': 0.005811841627315656, 'mean_word_length': 5.557142857142857, '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': 1, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Care of schizophrenia in general practice.

Patients, methods, and results Thirteen of the 16 London general practices fulfilling required validation standards of the VAMP (value added medical products) computer research bank between April and September 1990 participated.2 A search of the computerised records identified 212 patients with a diagnosis of schizophrenia; 90% of a one in two random sample were given a lifetime diagnosis of schizophrenia according to broad diagnostic criteria.2 Each was age matched (within a five year band) and sex matched with two patients in the same practice. The first was randomly selected from a pool of patients with chronic physical diseases (epilepsy, diabetes, rheumatoid arthritis, and multiple sclerosis) and in the second from the practice register. Information for the preceding four years was collected from the practice records. All consultations were counted and coded as physical or mental according to the presenting complaints; the number of disease specific assessments for patients with schizophrenia and chronic physical diseases was recorded. Entries in the notes pertaining to housing, employment, finances, or social outlets were counted and classed as social entries for all three groups of patients. The number of letters from hospital consultants was recorded. Prescriptions issued by the surgery without direct patient contact were classed as repeat prescriptions. Variables examined in the analysis were divided around the median of the respective control group's observations. Disease specific assessments and letters from hospital consultants were not relevant for the controls selected from the practice register. As these controls had few psychiatric consultations and repeat prescriptions binary variables were created corresponding to none or at least one such event. These variables were then analysed by conditional logistic regression3 for matched case-control studies with the EGRET statistical package. The aim of the regression was to determine factors predicting membership of the schizophrenia group (table). Mental health consultations strongly predicted that a patient belonged to the schizophrenia group. Social entries were also associated with this group. Physical consultations were more strongly associated with being in the physical disease group, as were repeat prescriptions and disease specific assessments. The total consultation rate was not a significant predictor of membership of the schizophrenia group in the comparison with the physical disease group, but in the comparison with the other control group, frequent consultations (above the median of this control group) indicated that patients were 11 times more likely to belong to the schizophrenia group.