Search

Background: In recent years, more importance is being given to the assessment of quality of life (QoL) among diabetic patients as a measure of their health and the goal of all health interventions. Other studies have reported a high prevalence of diabetes-related effects on; however, there is a knowledge gap in the region of Sub-Saharan Africa, as is the case for Rwanda, where the prevalence of diabetes is expected to rise over the next decade. The aim of this study is to report on the translation and cultural adaptation of the Diabetes-39 (D-39) questionnaire into the Kinyarwanda and its psychometric properties among diabetic patients in Rwanda., Methods: The D-39 questionnaire-a five-scale, disease-specific QoL questionnaire-was translated from English to Kinyarwanda, then back-translated to English. A consensus meeting discussed discrepancies and agreed on changes. Interviews were conducted with 26 participants before producing a final version. For the psychometric evaluation, the adapted version was administered to 309 patients with diabetes mellitus. Participants either came from a separate cluster-randomised controlled trial or were recruited ad hoc for this study. The evaluation included testing internal consistency, known group validity, and construct validity., Results: Participants' mean age was 51 ± 12.7 years with a predominance of women (64%) in the sample. All five scales of the questionnaire showed a good internal consistency, with composite reliability of above 0.7. The five-factor model of the questionnaire was fitted to the 39 items. Although the fit was not exact, there was a satisfactory approximate fit (CFI = 0.93, TLI = 0.92, RMSEA = 0.05). There was a good discriminant validity except for the "social burden" and "anxiety and worry" scales (inter-factor correlation = 0.80)., Conclusions: Diabetes-39 is a questionnaire developed in English that was adapted and translated into Kinyarwanda. The Kinyarwanda version of D-39 is a reliable and valid instrument to measure QoL among diabetic patients in Rwanda. The questionnaire can be helpful in research and clinical practice improving health outcomes for patients with diabetes in Rwanda and other Kinyarwanda-competent areas in the sub-region. However, certain cross-cultural differences should be considered., (© 2022. The Author(s).)

Objectives: To report on the disease-related quality of life of patients living with diabetes mellitus in Rwanda and identify its predictors., Design: Cross-sectional study, part of the baseline assessment of a cluster-randomised controlled trial., Setting: Outpatient clinics for non-communicable diseases of nine hospitals across Rwanda., Participants: Between January and August 2019, 206 patients were recruited as part of the clinical trial. Eligible participants were those aged 21-80 years and with a diagnosis of diabetes mellitus for at least 6 months. Illiterate patients, those with severe hearing or visual impairments, those with severe mental health conditions, terminally ill, and those pregnant or in the postpartum period were excluded PRIMARY AND SECONDARY OUTCOME MEASURES: Disease-specific quality of life was measured with the Kinyarwanda version of the Diabetes-39 (D-39) questionnaire. A glycated haemoglobin (HbA1c) test was performed on all patients. Sociodemographic and clinical data were collected, including medical history, disease-related complications and comorbidities., Results: The worst affected dimensions of the D-39 were 'anxiety and worry' (mean=51.63, SD=25.51), 'sexual functioning' (mean=44.58, SD=37.02), and 'energy and mobility' (mean=42.71, SD=20.69). Duration of the disease and HbA1c values were not correlated with any of the D-39 dimensions. A moderating effect was identified between use of insulin and achieving a target HbA1c of 7% in the 'diabetes control' scale. The most frequent comorbidity was hypertension (49.0% of participants), which had a greater negative effect on the 'diabetes control' and 'social burden' scales in women. Higher education was a predictor of less impact on the 'social burden' and 'energy and mobility' scales., Conclusions: Several variables were identified as predictors for the five dimensions of quality of life that were studied, providing opportunities for tailored preventive programmes. Further prospective studies are needed to determine causal relationships., Trial Registration Number: NCT03376607., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Abstract: Background: Multimorbidity is a new concept encompassing all the medical conditions of an individual patient. The concept links into the European definition of family medicine and its core competencies. However, the definition of multimorbidity and its subsequent operationalization are still unclear. The European General Practice Research Network wanted to produce a comprehensive definition of multimorbidity. Method: Systematic review of literature involving eight European General Practice Research Network national teams. The databases searched were PubMed, Embase, and Cochrane (1990–2010). Only articles containing descriptions of multimorbidity criteria were selected for inclusion. The multinational team undertook a methodic data extraction, according to the Preferred Reporting Items for Systematic reviews and Meta-Analyses guidelines. Results: The team identified 416 documents, selected 68 abstracts, included 54 articles, and found 132 definitions with 1631 different criteria. These criteria were aggregated into 11 themes that led to the following definition: Multimorbidity is defined as any combination of chronic disease with at least one other disease (acute or chronic) or biopsychosocial factor (associated or not) or somatic risk factor. Any biopsychosocial factor, any risk factor, the social network, the burden of diseases, the health care consumption, and the patient’s coping strategies may function as modifiers (of the effects of multimorbidity). Multimorbidity may modify the health outcomes and lead to an increased disability or a decreased quality of life or frailty. Conclusion: This study has produced a comprehensive definition of multimorbidity. The resulting improvements in the management of multimorbidity, and its usefulness in long term care and in family medicine, will have to be assessed in future studies. [Copyright &y& Elsevier]