IPCHS. Integrated People-Centred Health Services

Contents

Contents tagged: cluster analysis

June 15, 2020 Americas Publication
Engaging and empowering people and communities, Strengthening governance and accountability, Reorienting the model of care, Coordinating services within and across sectors, Creating an enabling environment

Relationships among Structures, Team Processes, and Outcomes for Service Users in Quebec Mental Health Service Networks

Few studies have identified and compared profiles of mental health service networks (MHSN) in terms of structures, processes, and outcomes, based on cluster analyses and perceptions of team managers, mental health professionals and service users.

This study aimed to understand how different configurations of mental health service networks and teams impact on service user outcomes, by identifying through cluster analyses specific categories of associated variables within three Quebec MHSN, based on interrelationships among:

1) Mental health settings, including territorial and organizational features (structures);

2) Characteristics of mental health professionals, including team process variables (e.g., team support, team autonomy);

3) Service user characteristics, including socio-demographic variables, clinical characteristics, and outcomes (e.g., QOL, recovery).

Based on the Donabedian model, the authors hypothesized that more positive structures would relate to better team processes in MHSN and in turn to more positive outcomes for service users.

mental health service networks, mental health reform, cluster analysis, services user outcomes, team processes
April 19, 2021 Europe Publication
Reorienting the model of care, Coordinating services within and across sectors

Clustering Complex Chronic Patients: A Cross-Sectional Community Study From the General Practitioner’s Perspective

 
In public health services, aging and a high prevalence of multiple diseases as age increases are currently the norm rather than the exception, and challenge the single-disease model that prevails in medical education, research and hospital care. Individuals with multimorbidity do not show dominant combinations of conditions, and most clinical programs or guidelines for chronic disease management still focus on specific and single conditions. For these reasons, there is a growing concern that these programs may be less effective and even harmful for individuals with multimorbidity when compared to person-centred approaches.

In recent years, a new concept has been introduced, which is becoming increasingly common in primary care: the “complex chronic patient (CCP)”

The aim of this cross-sectional, population-based observational study is to identify sub-populations of complex chronic patients who could benefit from targeted care management approaches.

cluster analysis, complex care needs, integrated care, multimorbidity, primary care