Validation of the Primacy Care Resources and Support for Chronic Disease Self-Management (PCRS)
An assessment tool for the quality of self-management support
Bibliographic Data
| ID | 12832202 |
|---|---|
| Authors | Maarten Voorhaar (0000-0003-4032-6163, Maastricht University, corresponding author), Erik Bischoff (0000-0002-3323-8475, Radboud University Medical Center), A Visser (0000-0003-3956-3129, Roosevelt Institute for American Studies), G M Asijee (Maastricht University), Jean Muris (0000-0002-8780-476X, Maastricht University), C P Van Schayck (Maastricht University) |
| Year | 2015 |
| Volume | 15 |
| Issue | 5 |
| Publication date | 2015-05-27 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Integrated Care (JOURNAL) |
| Journal identifiers | ISSN: 1568-4156 • E-ISSN: 1568-4156 |
| Publisher | Ubiquity Press (PUBLISHER • GB) |
| DOI | 10.5334/ijic.2180 |
| OpenAlex | W1615678725 |
| Language | EN |
| Citations received | 2 |
The treatment of patients with a chronic condition is challenging the sustainability of healthcare systems worldwide. One possibility to utilize healthcare resources more efficiently is to enhance self-management of patients. However, self-management has not found a commonplace in chronic healthcare and one of the reasons is the lack of self-management support (SMS) given by healthcare professionals. To improve SMS, an assessment of the quality of current SMS in a healthcare organization is necessary. The Primary Care Resources and Support for Chronic Disease Self-management (PCRS) is an instrument to measure the quality of SMS, but evidence on its validity and reliability is limited. In this study we assessed the validity and reliability of the PCRS
Construct (python library · Construct validity · Discriminant validity · Face validity · Health care · Patient satisfaction · Psychometrics · Quality (philosophy · Reliability (semiconductor · Scale (ratio · Self-management · Validity · Chronic Disease Management Strategies · Clinical Psychology · Computer Science · Diabetes Management and Education · Medicine · Nursing · Psychology · Artificial Intelligence
| Citations per year | 0.22 |
|---|---|
| Citation span | 2017 - 2017 (1) |
| Highly cited | No |