Maxime Sasseville1,2, Maud-Christine Chouinard3, Martin Fortin4. 1. Department of Health Sciences, Université du Québec à Chicoutimi, 555 boulebard université, Chicoutimi, Québec, G7H 2B1, Canada. maxime1_sasseville@uqac.ca. 2. Nursing Faculty, Université Laval, 2325, rue de l'Université, Québec, QC, G1V 0A6, Canada. maxime1_sasseville@uqac.ca. 3. Nursing Faculty, Université de Montréal, Pavillon Marguerite-d'Youville, C.P. 6128 succ. Centre-ville, Montréal, QC, H3C 3J7, Canada. 4. Research Chair on Chronic Diseases in Primary Care, Department of Family and Emergency Medicine, Université de Sherbrooke, 3001, 12e Avenue Nord, Sherbrooke, QC, J1H 5N4, Canada.
Abstract
BACKGROUND: Multimorbidity is a complex health situation that requires interventions tailored to patient needs; the outcomes of such interventions are difficult to evaluate. The purpose of this study was to describe the outcomes of patient-centred interventions for people with multimorbidity from the patients' and healthcare providers' perspectives. METHODS: This study followed a qualitative descriptive design. Nine patients with multimorbidity and 18 healthcare professionals (nurses, general practitioners, nutritionists, and physical and respiratory therapists), participating in a multimorbidity-adapted intervention in primary care were recruited. Data were collected using semi-structured interviews with 12 open-ended questions. Triangulation of disciplines among interviewers, research team debriefing, data saturation assessment and iterative data collection and analysis ensured a rigorous research process. RESULTS: Outcome constructs described by participants covered a wide range of themes and were grouped into seven outcome domains: Health Management, Physical Health, Functional Status, Psychosocial Health, Health-related Behaviours, General Health and Health Services. The description of constructs by stakeholders provides valuable insight on how outcomes are experienced and worded by patients. CONCLUSION: Participants described a wide range of outcome constructs, which were relevant to and observable by patients and were in line with the clinical reality. The description provides a portrait of multimorbidity-adapted intervention outcomes that are significant for the selection and development of clinical research outcome measures.
BACKGROUND: Multimorbidity is a complex health situation that requires interventions tailored to patient needs; the outcomes of such interventions are difficult to evaluate. The purpose of this study was to describe the outcomes of patient-centred interventions for people with multimorbidity from the patients' and healthcare providers' perspectives. METHODS: This study followed a qualitative descriptive design. Nine patients with multimorbidity and 18 healthcare professionals (nurses, general practitioners, nutritionists, and physical and respiratory therapists), participating in a multimorbidity-adapted intervention in primary care were recruited. Data were collected using semi-structured interviews with 12 open-ended questions. Triangulation of disciplines among interviewers, research team debriefing, data saturation assessment and iterative data collection and analysis ensured a rigorous research process. RESULTS: Outcome constructs described by participants covered a wide range of themes and were grouped into seven outcome domains: Health Management, Physical Health, Functional Status, Psychosocial Health, Health-related Behaviours, General Health and Health Services. The description of constructs by stakeholders provides valuable insight on how outcomes are experienced and worded by patients. CONCLUSION:Participants described a wide range of outcome constructs, which were relevant to and observable by patients and were in line with the clinical reality. The description provides a portrait of multimorbidity-adapted intervention outcomes that are significant for the selection and development of clinical research outcome measures.
Authors: Jane M Gunn; Darshini R Ayton; Konstancja Densley; Julie F Pallant; Patty Chondros; Helen E Herrman; Christopher F Dowrick Journal: Soc Psychiatry Psychiatr Epidemiol Date: 2010-12-25 Impact factor: 4.328