24 research outputs found

    Light case study : Improving dairy production in Senegal

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    Ref. Ares(2016)6357987 - 10/11/201

    Individual patient data meta-analysis of self-monitoring of blood pressure (BP-SMART): a protocol.

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    INTRODUCTION: Self-monitoring of blood pressure is effective in reducing blood pressure in hypertension. However previous meta-analyses have shown a considerable amount of heterogeneity between studies, only part of which can be accounted for by meta-regression. This may be due to differences in design, recruited populations, intervention components or results among patient subgroups. To further investigate these differences, an individual patient data (IPD) meta-analysis of self-monitoring of blood pressure will be performed. METHODS AND ANALYSIS: We will identify randomised trials that have compared patients with hypertension who are self-monitoring blood pressure with those who are not and invite trialists to provide IPD including clinic and/or ambulatory systolic and diastolic blood pressure at baseline and all follow-up points where both intervention and control groups were measured. Other data requested will include measurement methodology, length of follow-up, cointerventions, baseline demographic (age, gender) and psychosocial factors (deprivation, quality of life), setting, intensity of self-monitoring, self-monitored blood pressure, comorbidities, lifestyle factors (weight, smoking) and presence or not of antihypertensive treatment. Data on all available patients will be included in order to take an intention-to-treat approach. A two-stage procedure for IPD meta-analysis, stratified by trial and taking into account age, sex, diabetes and baseline systolic BP will be used. Exploratory subgroup analyses will further investigate non-linear relationships between the prespecified variables. Sensitivity analyses will assess the impact of trials which have and have not provided IPD. ETHICS AND DISSEMINATION: This study does not include identifiable data. Results will be disseminated in a peer-reviewed publication and by international conference presentations. CONCLUSIONS: IPD analysis should help the understanding of which self-monitoring interventions for which patient groups are most effective in the control of blood pressure

    Emotional distress in patients with retinal disease

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    PURPOSE: To investigate the prevalence of, and potential risk factors for, emotional distress among patients with retinal disease. DESIGN: Cross-sectional study. METHODS: Cases consisted of 86 consecutive patients at Wilmer Eye Institute Retinal Vascular Center. Fifty-one controls with normal visual acuity and no known ocular disease were frequency-matched to the cases by age, sex, and race. Subjects were interviewed using the Community Disability Scale, a functional status questionnaire, and the General Health Questionnaire, a questionnaire assessing emotional distress. RESULTS: The prevalence of probable (General Health Questionnaire score 4 or greater and less than 10) or definite (General Health Questionnaire score 10 or greater) emotional distress was 59.3% among ophthalmic patients and 2.0% among controls. There were significant relationships between emotional distress, as assessed by General Health Questionnaire score, and degree of 1) visual impairment, as assessed by weighted bilateral average logarithm of minimal angle of resolution (logMAR), and 2) functional impairment, as assessed by Community Disability Scale score ( P = .001). Univariate analyses identified significant predictors of emotional distress: shorter duration of ocular disease ( P = .019), worse visual acuity ( P = .001), increased systemic comorbidities ( P = .001), and increased functional impairment ( P < .001). Multiple regression analysis demonstrates that worse visual acuity, increased systemic comorbidities, and shorter duration of ocular disease each explain over 10% of the variability in General Health Questionnaire score (r 2 = 0.15, 0.12, and 0.11, respectively). Addition of Community Disability Scale score to the regression model eliminates the significance of visual acuity and systemic comorbidities; Community Disability Scale score explains nearly 30% of the variability in emotional distress, as assessed by General Health Questionnaire score (r 2 = 0.29). CONCLUSIONS: Emotional distress is prevalent among patients with retinal disease; potential risk factors for emotional distress among such patients include shorter duration of ocular disease, worse visual acuity, increased systemic comorbidities, and increased functional impairment
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