Published on in Vol 1, No 1 (2015): October

Patient Rating Sites for Daily Supervision by Healthcare Inspectorates: Implementation into Practice

Patient Rating Sites for Daily Supervision by Healthcare Inspectorates: Implementation into Practice

Patient Rating Sites for Daily Supervision by Healthcare Inspectorates: Implementation into Practice

Abstract

1Radboud REshape Innovation Center, Radboud university medical center, Nijmegen, Netherlands

2Department of Risk detection and Innovation, Dutch Healthcare Inspectorate, Utrecht, Netherlands

3Academic Medical Center, department of Medical Psychology, University of Amsterdam, Amsterdam, Netherlands

4IQ Healthcare, Radboud Institute for Health Sciences, Radboud university medical center, Nijmegen, Netherlands

Corresponding Author:

Tom H van de Belt, PhD

Radboud REshape Innovation Center

Radboud university medical center

REshape 911, 1st Fl.

Reinier Postlaan 4

Nijmegen, 6525 GC

Netherlands

Phone: 31 24770080

Fax:31 24770080

Email: tom.vandebelt@radboudumc.nl


Background: Social media and especially patient rating sites (PRS’s) have shown to be an interesting new source of information about quality of care from the patient’s perspective. Several studies indicate a relationship between information on social media and quality of health care including patients’ experiences, mortality ratio’s, readmission rates and infection rates. Therefore, information on PRS’s could have added value in supervision the quality for care by official supervising bodies such as a healthcare inspectorate.

Objective: To implement a system in which relevant information about the quality of care is efficiently identified and extracted from PRS’s and presented to inspectors by adding it to the risk judgment system for day-to-day supervision.

Methods: The study consisted of three parts: (1) Exploration based on expert opinion by supervision experts of the Dutch Healthcare Inspectorate (DHI) of the added value for individual reviews with a poor rating (< 7 on a scale from 1-10) by making use of pre-developed scales. (2) Investigation of the opportunities for preselecting information by DHI researchers by scoring reviews in duos in order to test interrater agreement. (3) Designing a process description with all relevant stakeholders to create a realistic implementation path.

Results: For 72 of 116 cases in supervision of long-term elderly care on four major risk themes (medication safety, hygiene, expertise and restriction of freedom) information was considered to be relevant. Preselecting information from PRS’s showed acceptable agreement for four out of five researchers. Based on these results we designed a process description of adopting PRS data into the risk database of the DHI for long-term elderly care by using a File Transfer Protocol, extracting data from the PRS. Starting from June 1st 2015 the DHI inspectors will receive information about long-term elderly care organisations of the major Dutch PRS, next to other quality and safety indicators.

Conclusions: The results show that PRS’s could be used to include the patient’s perspective in day-to-day supervision. Important conditions are sufficient number of reviews and enthusiastic inspectors. These findings indicate that PRS’s may enable supervisory bodies to include the patients’ perspective in an efficient way. Future research should explore the opportunities of other healthcare sectors and other social media such as Twitter en Facebook.

iProc 2015;1(1):e14

doi:10.2196/iproc.4701

Keywords


(This is a conference paper presented at the Connected Health Symposium, Boston, 2015, which was not edited and is only lightly peer-reviewed).

Multimedia Appendix 1

Extended abstract.

PDF File (Adobe PDF File), 545KB

    Edited by G Eysenbach, T Hale; submitted 14.05.15; peer-reviewed by M Emmert, G Gao, H Potts; comments to author 18.06.15; revised version received 14.07.15; accepted 20.07.15; published 27.10.15

    Copyright

    ©Tom H van de Belt, Sophia M Kleefstra, Rudolf B Kool. Originally published in JMIR Mhealth and Uhealth (http://www.iproc.org), 27.10.2015.

    This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR mhealth and uhealth, is properly cited. The complete bibliographic information, a link to the original publication on http://mhealth.jmir.org/, as well as this copyright and license information must be included.