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'We are data rich but information poor': how do patient-reported measures stimulate patient involvement in quality improvement interventions in Swedish hospital departments?
Hogskolan Boras, Fac Caring Sci Work Life & Social Welf, Boras, Sweden..
Jönköping University, School of Health and Welfare, HHJ, Dept. of Nursing Science. Jönköping University, School of Health and Welfare, The Jönköping Academy for Improvement of Health and Welfare.ORCID iD: 0000-0002-5123-032x
Jönköping University, School of Health and Welfare, The Jönköping Academy for Improvement of Health and Welfare. Karolinska Inst, Med Management Ctr, Stockholm, Sweden.ORCID iD: 0000-0003-1814-4478
Hogskolan Boras, Fac Caring Sci Work Life & Social Welf, Boras, Sweden..
2022 (English)In: BMJ Open Quality, ISSN 2399-6641, Vol. 11, no 3, article id e001850Article in journal (Refereed) Published
Abstract [en]

Objective

This study aimed to investigate if and how patient-reported measures from national and local monitoring stimulate patient involvement in hospital quality improvement (QI) interventions. We were also interested in the factors that influence the level and degree of patient involvement in the QI interventions.

Methods

The study used a qualitative, descriptive design. Inspired by the Framework Method, we created a working analytical framework. Four hospital departments participated in the data collection. Collaborating with a QI leader from each department, we identified the monitoring systems for the patient-reported measures that were used to initiate or evaluate QI interventions. Thereafter, the level and degree of patient involvement and the factors that influenced this involvement were analysed for all QI interventions. Data were mapped in an Excel spreadsheet to analyse connections and differences.

Results

Departments used patient-reported measures from both national and local monitoring systems to initiate or evaluate their QI interventions. Thirty-one QI interventions were identified and analysed. These interventions were mainly conducted at the direct care and organisational levels. By participating in questionnaires, patients were involved to the degree of consultation. Patients were not involved to the degree of partnership and shared leadership for the identified QI interventions.

Conclusions

Overall, hospital departments have limited knowledge regarding patient-reported measures and how they are best applied in QI interventions and how they support improvements. Applying patient-reported measures to hospital QI interventions does not enhance patient involvement beyond the degree of consultation.

Place, publisher, year, edition, pages
BMJ Publishing Group Ltd, 2022. Vol. 11, no 3, article id e001850
Keywords [en]
quality measurement, healthcare quality improvement, performance measures
National Category
Nursing
Identifiers
URN: urn:nbn:se:hj:diva-58324DOI: 10.1136/bmjoq-2022-001850ISI: 000837766900003Local ID: GOA;;827140OAI: oai:DiVA.org:hj-58324DiVA, id: diva2:1690288
Note

Included in doctoral thesis in manuscript form.

Available from: 2022-08-25 Created: 2022-08-25 Last updated: 2023-02-13Bibliographically approved
In thesis
1. Patient and public involvement in hospital quality improvement interventions: the mechanisms, monitoring and management
Open this publication in new window or tab >>Patient and public involvement in hospital quality improvement interventions: the mechanisms, monitoring and management
2022 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

This dissertation focuses on the mechanisms, monitoring and management of patient and public involvement in hospital quality improvement (QI) interventions. Findings from a literature review generated an initial programme theory (PT) on active patient involvement in healthcare QI interventions (Paper 1). Empirical studies were also undertaken in order to describe what was actually happening in the hospital QI teams and what patients and professionals experience influence their joint involvement (Paper 2), and to compare hospital leaders’ and managers’ experiences of managing QI interventions involving patients and the public (Paper 3). Finally, it was studied how patient-reported measures stimulate patient involvement in QI interventions in practice (Paper 4).

The research had a qualitative design. The approach was descriptive and comparative, and the studies were carried out prospectively. Data were collected in two hospital organisations in Sweden and in one hospital organisation in the Netherlands. Data collection methods were a literature search (Paper 1), interviews and field observations (Paper 2 and 3) and data collection meetings (Paper 4). Altogether, 93 team meetings and meetings between the team leaders and management were attended and a total of 20 days of study visits with different forms of meetings were made. Twelve patients, 12 healthcare professionals and 17 and 8 hospital leaders and managers, respectively, participated in the interviews and data collection meetings.

Realist synthesis was used to formulate the initial PT (Paper 1). Constructivist grounded theory was used to analyse and describe what was happening in the QI teams and how it was experienced by the team members (Paper 2). To compare hospital leaders’ and managers’ different, contextual meanings in Sweden and the Netherlands, the reflexive thematic analysis informed by critical realism was used (Paper 3). To order, manage and map data from 31 examples of local QI interventions associated to patient-reported measures, the framework method was used (Paper 4).

The results formulate a generic PT on the mechanisms, monitoring and management perspectives of co-produced QI interventions in hospital services where patients and the public are involved. The PT provides a hypothesis on the various mechanisms at play and outcomes obtained at the different levels of hospital organisations in the process. It is argued that focus should be on experiences, interaction, relationships and dialogue, integration of context, and the matching of hospital resources to patient and public demands and needs. Subsequently, the outcome will be the resources and reasoning interplay resulting in actions and processes, experiences and knowledge, ‘product’ benefits, emotions, judgements and motivations. Monitoring constitutes an important feedback loop to enable such learnings. The PT aligns the perspectives of the clinical microsystem, improvement science and the service-dominant logic, and has a potential to explain how patient and public involvement in QI interventions might work.

Place, publisher, year, edition, pages
Jönköping: Jönköping University, School of Health and Welfare, 2022. p. 113
Series
Hälsohögskolans avhandlingsserie, ISSN 1654-3602 ; 112
Keywords
clinical microsystem, co-production, hospital organisation, improvement science, patient and public involvement, programme theory, public service operations management, quality improvement, service-dominant logic
National Category
Health Care Service and Management, Health Policy and Services and Health Economy
Identifiers
urn:nbn:se:hj:diva-56138 (URN)978-91-88669-11-7 (ISBN)
Public defence
2022-05-13, Forum Humanum, School of Health and Welfare, Jönköping, 10:00
Opponent
Supervisors
Available from: 2022-04-01 Created: 2022-04-01 Last updated: 2023-02-13Bibliographically approved

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Petersson, ChristinaThor, Johan

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