This is the preliminary report of a study to evaluate the effectiveness of the Chronic Disease Self-management Program in Japan by comparing changes in health outcomes at the baseline and 3-month and 6-month follow-ups. The program is a patient-centered educational program for the self-management of chronic conditions. The study's participants were recruited from among the attendees of the program workshops. During the study period (August 2006 to May 2007), 18 workshops were held and 128 attendees agreed to participate in the study. The health outcomes that were measured included health status, self-management behaviors, utilization of health services, self-efficacy, satisfaction with daily living, and clinical indicators. These indicators were further analyzed by disease type: diabetes, rheumatic disease, and cardiovascular disease/dyslipidemia. The findings indicated statistically significant positive changes in health distress, coping with symptoms, stretching exercises, communication with the physician, and satisfaction with daily living. The positive changes were especially remarkable among the groups with diabetes and rheumatic disease. These findings suggest that the Chronic Disease Self-management Program can be effective for Japanese people with chronic conditions.

BackgroundResearch on health-education programs requires longitudinal data. Loss to follow-up can lead to imprecision and bias, and complete loss to follow-up is particularly damaging. If that loss is predictable, then efforts to prevent it can be focused on those program participants who are at the highest risk. We identified predictors of complete loss to follow-up in a longitudinal cohort study.MethodsData were collected over 1 year in a study of adults with chronic illnesses who were in a program to learn self-management skills. Following baseline measurements, the program had one group-discussion session each week for six weeks. Follow-up questionnaires were sent 3, 6, and 12 months after the baseline measurement. A person was classified as completely lost to follow-up if none of those three follow-up questionnaires had been returned by two months after the last one was sent.We tested two hypotheses: that complete loss to follow-up was directly associated with the number of absences from the program sessions, and that it was less common among people who had had face-to-face contact with one of the researchers. We also tested predictors of data loss identified previously and examined associations with specific diagnoses.Using the unpaired t-test, the U test, Fisher's exact test, and logistic regression, we identified good predictors of complete loss to follow-up.ResultsThe prevalence of complete loss to follow-up was 12.2% (50/409). Complete loss to follow-up was directly related to the number of absences (odds ratio; 95% confidence interval: 1.78; 1.49-2.12), and it was inversely related to age (0.97; 0.95-0.99). Complete loss to follow-up was less common among people who had met one of the researchers (0.51; 0.28-0.95) and among those with connective tissue disease (0.29; 0.09-0.98). For the multivariate logistic model the area under the ROC curve was 0.77.ConclusionsComplete loss to follow-up after this health-education program can be predicted to some extent from data that are easy to collect (age, number of absences, and diagnosis). Also, face-to-face contact with a researcher deserves further study as a way of increasing participation in follow-up, and health-education programs should include it.

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