Evidence map›Paper›PMID 40875980›Full record

ArticleJMIR formative research2025

Supporting Police Well-Being Through an Adaptive Shift Management System: Co-Design Study.

Olumuyiwa Temitope Ayorinde, Huseyin Dogan, Festus Fatai Adedoyin, Nan Jiang, Fiona Bitters, Sara Dempsey

Abstract read
In one paragraph

Article in JMIR formative research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Olumuyiwa Temitope AyorindeDepartment of Computing and Informatics, Faculty of Science and Technology, Bournemouth University, Poole, United Kingdom.ORCID 0009-0008-0226-4022
Huseyin DoganDepartment of Computing and Informatics, Faculty of Science and Technology, Bournemouth University, Poole, United Kingdom.ORCID 0000-0002-9138-9319
Festus Fatai AdedoyinDepartment of Computing and Informatics, Faculty of Science and Technology, Bournemouth University, Poole, United Kingdom.ORCID 0000-0002-3586-2570
Nan JiangDepartment of Computing and Informatics, Faculty of Science and Technology, Bournemouth University, Poole, United Kingdom.ORCID 0000-0003-1510-9888
Fiona BittersHampshire Constabulary, Hampshire and Isle of Wight, United Kingdom.ORCID 0000-0003-0422-3490
Sara DempseyHampshire Constabulary, Hampshire and Isle of Wight, United Kingdom.ORCID 0009-0004-2974-2451

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPolice personnel work under challenging conditions commonly associated with complex shift patterns, unpredictable last-minute changes, and high stress levels, with shift work identified as the major contributor to police personnel health and well-being challenges. These challenges negatively impact their mental well-being, physical health, and job performance, leading to potential health concerns such as fatigue, poor sleep, long-term physical disabilities, anxiety, and poor work-life balance. Existing digital interventions fail to address the needs of shift workers due to focusing solely on conventional 9-to-5 schedules. This gap highlights the need for tailored interventions that incorporate shift management systems into health and well-being applications to support emergency service personnel.

objectiveThis study aimed to co-design a shift management system that can be incorporated into a well-being app tailored to address the health and well-being challenges caused by shift work in police personnel.

methodsThis study used interactive management methodology combined with user-centered design and cocreation to facilitate 6 co-design workshops with a diverse group of stakeholders. Each session was structured around idea generation, structural prioritization, and iterative prototyping. User-centered design principles such as persona mapping, scenario walk-throughs, and structured feedback exercises were integrated into the workshop sessions to ensure that the system met diverse user needs. Data were analyzed through participatory feedback and thematic analysis, which allowed for continuous iteration and prioritization of system features based on stakeholder inputs.

resultsParticipants highlighted the need for a shift management system capable of managing complex and variable shift schedules with real-time adaptability and support for work-life balance. Thematic analysis revealed shift management challenges such as limited flexibility in accommodating schedule changes and issues managing rotating shift patterns. In response to these identified challenges, a prototype was developed that included features such as bulk creation and modification of shift schedules, shift customization, and visualization tools for monitoring and identifying shift trends and reusable patterns for efficiency. This study demonstrated that integrating a schedule management system into a well-being app could provide personalized support based on users' shift schedules. The integration showed significant potential in supporting the health and well-being of police personnel.

conclusionsThe co-designed shift management system demonstrated strong feasibility and high acceptability among the participants. The integration of shift scheduling into a well-being app can provide tailored support across several domains such as nutrition, hydration, sleep, and physical activity. This combination shows promise in providing a sustainable approach to enhancing the health, well-being, and work-life balance of personnel working in high-stress occupations such as policing.

Indexed as

PoliceShift Work ScheduleWork Schedule ToleranceAdultFemaleHumansMaleMiddle AgedMobile ApplicationsUser-Centered Designdigital healthhealthpolice personnelpolice well-beingshift managementshift workstress

Identifiers

PMID40875980
PMCPMC12426568

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.