Literature DB >> 33868704

Implementing online patient feedback in a 'special measures' acute hospital: A case study using Normalisation Process Theory.

Rebecca Baines1, Frazer Underwood2,3,4, Kim O'Keeffe2,3, Jessica Saunders3, Ray B Jones1.   

Abstract

OBJECTIVE: Online patient feedback is becoming increasingly prevalent on an international scale. However, limited research has explored how healthcare organisations implement such feedback. This research sought to explore how an acute hospital, recently placed into 'special measures' by a regulatory body implemented online feedback to support its improvement journey.
METHODS: Semi-structured interviews were conducted with eleven key stakeholders involved in the implementation and/or use of online patient feedback. Data was analysed using deductive thematic analysis with Normalisation Process Theory used as the analytical framework. Research findings are translated into the Engage, Support and Promote (ESP) model, a model of rapid feedback adoption.
RESULTS: Participants viewed the implementation of online feedback as an opportunity to learn, change and improve. Factors found to facilitate implementation were often linked to engagement, support and promotion. Although less frequently described, barriers to implementation included staff anxieties about time pressures, moderation processes and responding responsibilities. Such anxieties were often addressed by activities including the provision of evidence based responder training. Overall, staff were overwhelmingly positive about the value of online feedback with 24 impacts identified at an individual and organisational level, including the ability to boost staff morale, resilience and pride.
CONCLUSIONS: The rapid implementation of online patient feedback can be achieved in a 'special measures' organisation. However, the difficulties of implementing such feedback should not be underestimated. In order to embed online feedback, staff members need to be engaged and feel supported, with opportunities to provide, respond and invite patient feedback frequently promoted to both patients and staff members.
© The Author(s) 2021.

Entities:  

Keywords:  Patient feedback; care opinion; normalisation process theory; online patient feedback; patient experience; qualitative studies

Year:  2021        PMID: 33868704      PMCID: PMC8020246          DOI: 10.1177/20552076211005962

Source DB:  PubMed          Journal:  Digit Health        ISSN: 2055-2076


  26 in total

Review 1.  Online patient feedback: a scoping review and stakeholder consultation to guide health policy.

Authors:  Anne-Marie Boylan; Veronika Williams; John Powell
Journal:  J Health Serv Res Policy       Date:  2019-09-07

2.  The Warwick Patient Experiences Framework: patient-based evidence in clinical guidelines.

Authors:  Sophie Staniszewska; Felicity Boardman; Lee Gunn; Julie Roberts; Diane Clay; Kate Seers; Jo Brett; Liz Avital; Ian Bullock; Norma O' Flynn
Journal:  Int J Qual Health Care       Date:  2014-02-20       Impact factor: 2.038

3.  The relationship between commercial website ratings and traditional hospital performance measures in the USA.

Authors:  Naomi S Bardach; Renée Asteria-Peñaloza; W John Boscardin; R Adams Dudley
Journal:  BMJ Qual Saf       Date:  2012-11-23       Impact factor: 7.035

4.  What do patients say about their physicians? an analysis of 3000 narrative comments posted on a German physician rating website.

Authors:  Martin Emmert; Florian Meier; Ann-Kathrin Heider; Christoph Dürr; Uwe Sander
Journal:  Health Policy       Date:  2014-05-02       Impact factor: 2.980

5.  Exploring Patients' Views Toward Giving Web-Based Feedback and Ratings to General Practitioners in England: A Qualitative Descriptive Study.

Authors:  Salma Patel; Rebecca Cain; Kevin Neailey; Lucy Hooberman
Journal:  J Med Internet Res       Date:  2016-08-05       Impact factor: 5.428

6.  Optimizing patient and public involvement (PPI): Identifying its "essential" and "desirable" principles using a systematic review and modified Delphi methodology.

Authors:  Rebecca L Baines; Sam Regan de Bere
Journal:  Health Expect       Date:  2017-09-19       Impact factor: 3.377

7.  Capturing patient experience: a qualitative study of implementing real-time feedback in primary care.

Authors:  Mary Carter; Antoinette Davey; Christine Wright; Natasha Elmore; Jenny Newbould; Martin Roland; John Campbell; Jenni Burt
Journal:  Br J Gen Pract       Date:  2016-09-12       Impact factor: 5.386

8.  Implementing a training intervention to support caregivers after stroke: a process evaluation examining the initiation and embedding of programme change.

Authors:  David James Clarke; Mary Godfrey; Rebecca Hawkins; Euan Sadler; Geoffrey Harding; Anne Forster; Christopher McKevitt; Josie Dickerson; Amanda Farrin
Journal:  Implement Sci       Date:  2013-08-23       Impact factor: 7.327

Review 9.  Feedback from Outcome Measures and Treatment Effectiveness, Treatment Efficiency, and Collaborative Practice: A Systematic Review.

Authors:  Dawid Gondek; Julian Edbrooke-Childs; Elian Fink; Jessica Deighton; Miranda Wolpert
Journal:  Adm Policy Ment Health       Date:  2016-05

10.  Wisdom of patients: predicting the quality of care using aggregated patient feedback.

Authors:  Alex Griffiths; Meghan P Leaver
Journal:  BMJ Qual Saf       Date:  2017-09-28       Impact factor: 7.035

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  2 in total

1.  'Using humanity to change systems' - understanding the work of online feedback moderation: A case study of Care Opinion Scotland.

Authors:  Emma Berry; Zoë C Skea; Marion K Campbell; Louise Locock
Journal:  Digit Health       Date:  2022-02-23

2.  Use and usability of GP online services: a mixed-methods sequential study, before and during the COVID-19 pandemic, based on qualitative interviews, analysis of routine eConsult usage and feedback data, and assessment of GP websites in Devon and Cornwall, England.

Authors:  Ray B Jones; John Tredinnick-Rowe; Rebecca Baines; Inocencio Daniel Cortes Maramba; Arunangsu Chatterjee
Journal:  BMJ Open       Date:  2022-03-07       Impact factor: 2.692

  2 in total

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