The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Measuring patient experiences (PREMS): Progress made by the OECD and its member countries between 2006 and 2016
Abstract
The OECD has been leading the work on international comparisons of patient-reported experience measures (PREMs) across its member states for over a decade. This paper synthesises national developments in relation to measuring and monitoring PREMs between 2006 and 2016 across countries participating in the OECD Health Care Quality Indicator expert group. This report shows that most OECD countries measure patient experience at a national level. It also highlights that efforts to measure and report patient-reported measures which used to be conducted in an ad hoc manner previously, have been institutionalised and standardised in an increasing number of countries. This national progress has enabled the international reporting of patient experiences with ambulatory care across 17 OECD countries in the recent edition of OECD’s flagship publication, Health at a Glance 2017. The scope of these indicators is currently limited, but recent national progress suggests that there is an opportunity to expand PREMs data collection in different domains for international reporting. The OECD plans to continue developing PREMs that would be useful for policy makers, and help drive improvements in health system performance for health care users, building on the PREMs work to date undertaken in consultation with countries.
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The world health report 2000 - Health systems: improving performance
Reinhardt, U. E., & Cheng, T.-M. (2000) · Europe PMC (PubMed Central) · doi:10.1590/s0042-96862000000800020 · Cited by 3,467
Health Literacy: A Prescription to End Confusion
Committee on Health Literacy, Board on Neuroscience and Behavioral Health, & Institute of Medicine (2004) · doi:10.17226/10883 · Cited by 3,444
Literacy and health outcomes: A systematic review of the literature
DeWalt, D. A., Berkman, N. D., Sheridan, S., Lohr, K. N., & Pignone, M. P. (2004) · Journal of General Internal Medicine · doi:10.1111/j.1525-1497.2004.40153.x · Cited by 2,309
Health literacy: a prescription to end confusion
(2005) · Choice Reviews Online · doi:10.5860/choice.42-4059 · Cited by 1,438
Effectiveness of strategies for informing, educating, and involving patients
Coulter, A., & Ellins, J. (2007) · BMJ · doi:10.1136/bmj.39246.581169.80 · Cited by 1,128
Kitson, A., Marshall, A., Bassett, K., & Zeitz, K. (2013) · Journal of Advanced Nursing · doi:10.1111/j.1365-2648.2012.06064.x · Cited by 924
Examining the Role of Patient Experience Surveys in Measuring Health Care Quality
Anhang Price, R., Elliott, M. N., Zaslavsky, A. M., Hays, R. D., Lehrman, W. G., Rybowski, L., Edgman-Levitan, S., & Cleary, P. D. (2014) · Medical Care Research and Review · doi:10.1177/1077558714541480 · Cited by 859
Health at a Glance 2013: OECD Indicators
OECD (2013) · Health at a Glance · doi:10.1787/health_glance-2013-en · Cited by 518
Health Systems Institutional Characteristics: A Survey of 29 OECD Countries
(2010) · OECD Health Working Papers · doi:10.1787/5kmfxfq9qbnr-en · Cited by 499
Health at a Glance 2015: OECD Indicators
OECD (2015) · Health at a Glance · doi:10.1787/health_glance-2015-en · Cited by 439
Cited by
Caswell, R. J., Ross, J. D., & Lorimer, K. (2019) · Sexually Transmitted Infections · doi:10.1136/sextrans-2018-053920 · Cited by 26
Metadata
- Venue
- OECD Health Working Papers
- Published
- 2017-12-19
- ISSN
- 1815-2015 (ISSN-L)
- OpenAlex
- W2886782142
- Cited by
- 486
- References
- 20
- Type
- report
- Language
- en
- Open access
- closed
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