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Hindi Research Article
Predictive Factors of Effects of an Interdisciplinary Chronic Disease Prevention and Management Intervention in Primary Healthcare: A Correlational Analysis
Maxime Sasseville1*, Maud-Christine Chouinard2 and Martin Fortin3
1Département des sciences de la santé, Université de Sherbrooke, Québec, Canada
2Département des sciences de la santé, Université du Québec à Chicoutimi, Québec, Canada
3Département de médecine de famille et de médecine d’urgence, Université de Sherbrooke, Québec, Canada
- *Corresponding Author:
- Maxime Sasseville
Faculty, Département des sciences de la santé
Université de Sherbrooke, Québec, Canada
Fax: 418-541-7091
E-mail: maxime.sasseville@usherbrooke.ca
Received date: February 05, 2016; Accepted date: February 22, 2016; Published date: February 29, 2016
Citation: Sasseville M, Chouinard MC, Fortin M (2016) Predictive Factors of Effects of an Interdisciplinary Chronic Disease Prevention and Management Intervention in Primary Healthcare: A Correlational Analysis. J Comm Pub Health Nurs 2:112. doi:10.4172/2471-9846.1000112
Copyright: © 2016 Sasseville M, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Abstract
Background
The purpose of this research was to explore the predictive factors (patient-related and intervention-related) of effects of an interdisciplinary and patient-centered chronic disease prevention and management (CDPM) intervention in an adult population with chronic diseases seen in primary healthcare (PHC).
Methods
This work presents the secondary analysis of data from the PR1MaC project, a pragmatic randomized controlled trial of an intervention involving the integration of canadian CDPM services in PHC. The main outcomes were dichotomic substantive improvement in the eight domains of the Health Education Impact Questionnaire (heiQ) measured at baseline and three months. Included in the multivariate analysis were the independent variables related to patient characteristics: age, gender, education, family income, marital status, multimorbidity, having healthy eating habits at baseline, doing sufficient physical activity at baseline; and those related to the intervention: duration of intervention, number of health professionals involved, health professionals working in consensus and number of risk factors aimed by the intervention objectives.
Results
A group of 160 patients (84 male; mean age 52.7 ± 11.5 years) from the intervention arm was considered. Multivariate logistic regression analysis showed that being younger, being single and having a higher family income is associated with improvement in Emotional Wellbeing. Having healthy eating habits and a limited number of patient-fixed objectives is associated with improvement in the Constructive Attitudes and Approaches. Also, being younger, longer intervention duration and consensus of the professionals is associated with improvement in the Health Services Navigation. An increasing intervention duration is associated with improvement in the Positive and Active Engagement in Life. Finally, increasing number of professionals is associated with improvement in the Skills and Techniques Acquisition.
Conclusion
The results showed specific associations that could lead in improvements in CDPM delivery, contributing to the understanding of the complex mechanisms of chronic disease management and support.
