17 research outputs found
Разработка и обоснование бизнес-плана на открытие фитнес - клуба «Эталон»
Survey. (DOCX 49 kb
Additional file 1: of Patient-perceived barriers and facilitators to the implementation of a medication review in primary care: a qualitative thematic analysis
Interview guide for telephone interviews and focus groups. (DOCX 22Â kb
Additional file 2:
Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus groups. (DOCX 19 kb
Prevalence, determinants and patterns of multimorbidity in primary care: a systematic review of observational studies
Introduction:
Multimorbidity is a major concern in primary care. Nevertheless, evidence of prevalence and patterns of multimorbidity, and their determinants, are scarce. The aim of this study is to systematically review studies of the prevalence, patterns and determinants of multimorbidity in primary care.
Methods:
Systematic review of literature published between 1961 and 2013 and indexed in Ovid (CINAHL, PsychINFO, Medline and Embase) and Web of Knowledge. Studies were selected according to eligibility criteria of addressing prevalence, determinants, and patterns of multimorbidity and using a pretested proforma in primary care. The quality and risk of bias were assessed using STROBE criteria. Two researchers assessed the eligibility of studies for inclusion (Kappa =0.86).
Results:
We identified 39 eligible publications describing studies that included a total of 70,057,611 patients in 12 countries. The number of health conditions analysed per study ranged from 5 to 335, with multimorbidity prevalence ranging from 12.9% to 95.1%. All studies observed a significant positive association between multimorbidity and age (odds ratio [OR], 1.26 to 227.46), and lower socioeconomic status (OR, 1.20 to 1.91). Positive associations with female gender and mental disorders were also observed. The most frequent patterns of multimorbidity included osteoarthritis together with cardiovascular and/or metabolic conditions.
Conclusions:
Well-established determinants of multimorbidity include age, lower socioeconomic status and gender. The most prevalent conditions shape the patterns of multimorbidity. However, the limitations of the current evidence base means that further and better designed studies are needed to inform policy, research and clinical practice, with the goal of improving health-related quality of life for patients with multimorbidity. Standardization of the definition and assessment of multimorbidity is essential in order to better understand this phenomenon, and is a necessary immediate step
Forest plots for determinants of multimorbidity: odds ratios (ORs) and 95% CIs for age, gender, socioeconomic status (SES) and existing mental disorder.
<p>Forest plots for determinants of multimorbidity: odds ratios (ORs) and 95% CIs for age, gender, socioeconomic status (SES) and existing mental disorder.</p
Additional file 1 of Digital participatory workshops with patients and health professionals to develop an intervention for the management of polypharmacy: results from a mixed-methods evaluation and methodological conclusions
Additional file 1: Interview Guide for telephone interviews with participants from the HYPERION-TransCare digital PPI workshop series