Literature DB >> 27700973

Performance Measurement for People with Multimorbidity and Complex Health Needs.

Walter P Wodchis1.   

Abstract

This paper reviews approaches to performance measurement in health systems with particular attention to people with multimorbidity and complex health needs. Performance measurement should be informative and used by multiple stakeholders in order to align performance improvement efforts. System performance measures must allow for macro-system and meso-organization and provider-level reporting, and they should be relevant and important to stakeholders at each level, as well as to patients and all potential care recipients. Measures that assess health outcomes and individuals' experiences with providers, including care planning and coordination of care across providers, are essential to assess value for people with multimorbidity and complex health needs. I suggest that performance measurement for this population should be motivated by the Complexity Framework and organized by the Triple Aim. Based on the care needs and appropriate goals for the health system for this population, applicable measures and suggestions for implementing and using performance measurement systems are identified. Particularly in the case of people with multimorbidity and complex health needs, performance measures must move beyond measures specific to individual encounters to track care for people over time and space. Measures must be rooted in individuals' own needs and goals for care. New systems are required to enable collection and reporting of these measures.

Entities:  

Mesh:

Year:  2016        PMID: 27700973     DOI: 10.12927/hcq.2016.24698

Source DB:  PubMed          Journal:  Healthc Q        ISSN: 1710-2774


  5 in total

1.  Assessing the experience of person-centred coordinated care of people with chronic conditions in the Netherlands: Validation of the Dutch P3CEQ.

Authors:  Mieke Rijken; James Close; Juliane Menting; Manon Lette; Annerieke Stoop; Nick Zonneveld; Simone R de Bruin; Helen Lloyd; Monique Heijmans
Journal:  Health Expect       Date:  2022-03-23       Impact factor: 3.318

2.  Chronic Disease Population Risk Tool (CDPoRT): a study protocol for a prediction model that assesses population-based chronic disease incidence.

Authors:  Ryan Ng; Rinku Sutradhar; Walter P Wodchis; Laura C Rosella
Journal:  Diagn Progn Res       Date:  2018-10-01

3.  Assigning a Prominent Role to "The Patient Experience" in Assessing the Quality of Integrated Care for Populations with Multiple Chronic Conditions.

Authors:  Mieke Rijken; Manon Lette; Caroline A Baan; Simone R de Bruin
Journal:  Int J Integr Care       Date:  2019-09-26       Impact factor: 5.120

4.  Implementing Integrated Community-Based Primary Healthcare: Applying the iCoach-Approach to Case Selection to Denmark.

Authors:  Stine Bligaard Madsen; Kirsten Beedholm; Flemming Bro; Loni Kraus Ledderer; Louise Ormstrup Vestergård; Viola Burau
Journal:  Int J Integr Care       Date:  2019-11-04       Impact factor: 5.120

5.  Smoking, drinking, diet and physical activity-modifiable lifestyle risk factors and their associations with age to first chronic disease.

Authors:  Ryan Ng; Rinku Sutradhar; Zhan Yao; Walter P Wodchis; Laura C Rosella
Journal:  Int J Epidemiol       Date:  2020-02-01       Impact factor: 7.196

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.