Keywords
Human factors and ergonomics, household, patient, drug therapy, medication error, systems-based analysis, patient and public involvement, PPI
This article is included in the Public and Patient Involvement collection.
Human factors and ergonomics, household, patient, drug therapy, medication error, systems-based analysis, patient and public involvement, PPI
There is a global drive to deliver healthcare as close to home as appropriate1,2, and to reduce exposure to unnecessary hospital admission. In this context, patients and their carers are taking on increasing levels of responsibility and burden of medication management3,4. Both positive and negative outcomes have been associated with lay medication practices in the home. For example, patients may sometimes successfully and conveniently integrate medication work into the structure of their daily lives3. However, many hazards have been identified, including the sharing of prescribed medication5,6, non-adherence7, hoarding8, unsafe storage9, inappropriate disposal10, inappropriate dosage11 and errors made by patients and their carers12,13.
This medication management by patients or their carers has been conceptualised as work, that is, effort expended to complete tasks associated with all aspects of medication use to achieve the desired beneficial effects and reduce the likelihood of undesirable effects3,4,14. Such medication work is self-managed in non-formal settings (e.g., households), which are complex systems that can be explored using human factors and ergonomics (HFE) approaches. HFE seeks to understand how people and other elements within a system interact15, and to apply systems-thinking models to “optimise human well-being and overall system performance”16. The Systems Engineering Initiative for Patient Safety (SEIPS) is one such model17. SEIPS considers how work system elements (people, tools, tasks, technologies, environments and their organisation) and the interaction between these elements shape work processes (at social, physical or cognitive levels), which in turn produce work outcomes that may strengthen or weaken safety. For instance, SEIPS has been used to explore household medication safety14,18. Further, a recent scoping review exploring contributory factors related to patient work identified a substantial number of publications on the topic of medication management4, indicating that a dedicated review adopting a HFE perspective on the topic is needed.
Therefore, given the increasing body of work that patients and informal carers perform to self-manage medication in non-formal settings, there is a need to gather the evidence about this work in a structured, systems-oriented way, in order to identify research gaps and opportunities to advance research, policy and practice.
Preliminary searches suggested the current body of literature is heterogenous, which reflects a need to unify and structure this knowledge to take a considerate HFE approach to study lay medication management. Moreover, the increasing prevalence and global burden of polypharmacy19 add complexity to the work carried out by patients and carers in managing their medication. Finally, the need to research lay medication management is emphasised by the fact that pre-existing health inequalities can widen even more during public health emergencies such as the COVID-19 pandemic20, as evidenced by outcomes such as medication-related harm.
This scoping review aims to describe and categorise the available evidence about non-formal medication self-management work systems. The scoping review aims to (i) use a HFE perspective to identify and structure studies about medication self-management as practiced by patients and informal carers in non-formal settings, (ii) to explore the data analytical approach applied in these studies and (iii) to identify gaps in the available body of evidence and opportunities for future research.
Patient, public and carer involvement (PPCI) in research is important to optimise the relevance and meaning of the research to those affected by the topic and to increase the uptake and translation of research into sustainable practice21,22. PPCI supports stakeholders, such as end users and professional or non-professional providers, to have parity with researchers. This helps stakeholders, patients and carers maintain a central status in the three domains of quality in healthcare, namely clinical effectiveness, patient safety and patient experience23,24.
This scoping review will incorporate and report on PPCI in line with the Authors and Consumers Together Impacting on eVidencE (ACTIVE) framework22. Contributors will be invited to participate on a continuous basis at the following stages: selection of studies, data collection, qualitative analysis, interpretation of findings, writing and publishing, knowledge translation and impact, including outreach activities and the co-design of lay summary materials. A suitable level of engagement (leading, controlling, influencing, contributing or receiving) will be jointly decided with PPCI contributors identified on each occasion, having regard to their preferences and the resources available at each stage. Training will be provided to support the learning needs required to meet the tasks.
The methodological approach is informed by scoping review guidelines published by the Joanna Briggs Institute (JBI)25 and by recommendations on implementing PPCI according to the ACTIVE framework22. Further, the reporting of this protocol observes the items on the Preferred Reporting Items for Systematic Reviews and Meta Analyses extension for Scoping Reviews (PRISMA-ScR) checklist that are relevant to a protocol26. Additionally, a PRISMA extension for protocols (PRISMA-P) checklist27 has been completed (access is detailed in the Data Availability section28).
The eligibility criteria were developed around a modified version of the PCC tool (participants, concept, context)25, presented below. Relevant peer-reviewed primary studies will be included while secondary studies will not, although references cited therein will be screened. This approach will help prevent inadvertent double counting of data originating from primary studies25. There is no restriction on the date of study publication. We will attempt to translate studies published in languages other than English.
Participants. Studies with a primary focus on lay participants such as patients and their non-professional carers (e.g., family members or laypeople who may or may not have received training) will be included. Studies focusing on healthcare practitioners, formally employed caregivers or professional carers will be excluded.
Concept. Studies addressing any aspect of medication self-management are eligible for inclusion. For the purpose of this review, we consider medication self-management as any task undertaken by the patient, or their carer, for the purpose of using their medication, at any stage of the medication management process. Medication will be defined as an authorised allopathic product that may be prescribed or non-prescribed (available over-the-counter).
Context. Studies exclusively addressing household, domestic or other non-formal healthcare settings will be included. Studies that have an element of professional or semi-professional service provision will be excluded.
Study design. Eligible studies will include those that analysed or presented qualitative data by considering principles of human factors or ergonomics, systems engineering, sociotechnical or socioecological systems, or other relevant theories or frameworks, which enabled the identification of at least one of the following concepts: work system elements (e.g., people, environments, tasks, tools, technologies), work processes (e.g., obtaining supply, administering, monitoring), work outcomes (e.g., humanistic, organisational, clinical or economic) and factors (facilitators and barriers to safe and effective medicines management) associated with the work system.
Five databases will be used to retrieve relevant literature, namely MEDLINE, Embase, PsycInfo, CINAHL and Web of Science.
The search strategy, shown in Table 1, was constructed for the MEDLINE and Embase databases using the Embase interface and was endorsed by a subject librarian. The systematic search will be tailored to the interface for PsycINFO, the Cumulative Index to Nursing and Allied Health Literature (CINAHL), and Web of Science.
Each search string will focus on four key concepts: 1) medication use; 2) by a population of patients or informal carers; 3) within non-formal settings; as reported by 4) studies related to the field of HFE which can provide details around work systems, processes and outcomes. The four strings will be combined with the ‘AND’ operator to yield relevant results.
Search results from each database will be uploaded to EndNote (Clarivate, London, UK) and de-duplicated. This body of citations will be imported to the Covidence systematic review software (Veritas Health Innovation, Melbourne, Australia), where further de-duplication and screening will be performed. All reviewers will independently review a proportion of titles and abstracts to ensure a common understanding of the application of eligibility criteria. In round one, two reviewers will then independently screen each study by title and abstract. Selected studies from round one will advance to round two where two reviewers will independently screen the article full text to determine final eligibility. Where differences in opinion arise or when a decision cannot be made at either round one or two, consensus will be reached ideally by discussion or through arbitration by another reviewer. A PRISMA flow diagram detailing study selection will be presented in the review26.
The review will employ the SEIPS model17 to structure the charting of reported work system elements (persons, tasks, tools, internal and external environments, organisation), work processes and work outcomes.
A predefined list of elements, shown below, will be used to chart data25. Data charting will be piloted on three included studies independently by two authors and will be iteratively adapted to ensure all relevant items are collected25. One reviewer will then undertake data charting on the remaining studies. When 10% of studies are charted, a cross-check will be performed by a second reviewer to ensure all meaningful semantic units were charted and classified appropriately, and to enable early diagnosis and repair of issues. If inconsistencies arise, a subsequent cross-check will be performed when 25% of all studies are charted. Should discrepancies persist, all included studies will be cross-checked.
The data charting form will record the following elements, which will be analysed to meet the corresponding review objectives25:
1. Study characteristics including country and date of publication, study aims, design, sample size and participant characteristics,
2. Methodological details related to the use of conceptual or theoretical frameworks or methods of data analysis or synthesis,
3. Data that have been analysed or presented from a human factors or systems-based perspective, and which relate to medication self-management as practised by patients and informal carers in non-formal settings. This includes data relevant to work systems, processes, outcomes and related factors (facilitators and barriers),
4. Reported knowledge gaps and recommendations for future work.
Descriptive statistics will be used to characterise the body of studies (e.g., date and place of publication and participant demographics) and will be carried out using Microsoft Excel (Microsoft Corporation, Redmond, Washington). Further, the analytical approaches applied in the included studies will be described.
Basic deductive qualitative content analysis25, directed by the SEIPS model, will be employed to report a list of the work system elements, interactions and outcomes reported in the body of studies, thereby exploring medication self-management as practiced by patients and informal carers. This will also facilitate the identification of research gaps in the current body of evidence and opportunities for future research. An appropriate data analysis/management tool e.g., Microsoft Excel or NVivo (QSR International) will be used to support qualitative data analysis and management.
Included studies will be assessed during data charting in terms of their richness (adequacy of data in the included studies) and relevance (the degree of fit of the included studies to our review questions). Borrowing from the realist paradigm and guidance for assessing the confidence in evidence from reviews of qualitative research29, a five-point richness scale will be used to estimate the depth of theoretical application of human factors theories and perspectives, and a five-point relevance scale will be used to determine how relevant each study is to our review objectives. This assessment of richness and relevance will complement the above-mentioned method in meeting the objective to identify research gaps and direct future studies.
This deductive coding approach may not accommodate all charted data, as some may fall outside of SEIPS categories, including data that can help contextualise phenomena30. Nevertheless, this can be addressed by accommodating inductive approaches that are sensitive enough, especially with respect to subsequent analyses of these data.
Charted data units will be aggregated and analysed. Findings related to the categorisation of data will be presented in a tabulated form for each research objective. Gaps in the available body of evidence and opportunities for future research will be identified by deductively coding the data using SEIPS and then mapping the aggregated coded data against SEIPS25. Descriptive summaries will accompany each resulting data set and will respond to each research question.
Consistent with guidance for scoping reviews, which aim to describe, summarise and present available data25, quality or risk of bias assessments about how well each included study addressed its objective will not be performed.
This scoping review aims to describe and categorise the available evidence about non-formal medication self-management work systems. Using the SEIPS model17, the scoping review will map the available evidence to describe each concept e.g., work system elements, the relevant processes and resulting outcomes, the relevance and the richness of the available data to address the research objectives, and will facilitate the identification of research gaps and opportunities for future work. The findings will inform whether a future systematic review or primary studies would best contribute to the construction or validation of a framework to support research and development about a systems-based analysis of non-formal medication self-management.
The proposed review has a number of strengths. The suggested PPCI approach will enhance the likelihood that patients and their representatives are at the centre of the review, that the research is relevant and meaningful and that it will be utilised to inform subsequent research, policy or practice. Adherence to the ACTIVE framework22 will enhance the PPCI approach employed. The review team have experience across the relevant fields of medication management, medication safety, human factors and ergonomics, and systematic reviewing. The convergence of these and the PPCI experiences will enhance the rigour of the data charting and interpretation.
Zenodo: PRISMA-P checklist for ‘The Medication Self-Management Work System of Patients and Informal Carers from a Human Factors & Ergonomics Perspective: A Scoping Review Protocol’. https://doi.org/10.5281/zenodo.746364128.
Data are available under the terms of the Creative Commons Attribution 4.0 International license (CC-BY 4.0).
Is the rationale for, and objectives of, the study clearly described?
Yes
Is the study design appropriate for the research question?
Partly
Are sufficient details of the methods provided to allow replication by others?
No
Are the datasets clearly presented in a useable and accessible format?
Not applicable
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Paediatric medicines safety; Human Factors and Ergonomics; Complex Systems and Theory Experience-Based Co-Production;
Is the rationale for, and objectives of, the study clearly described?
Yes
Is the study design appropriate for the research question?
Yes
Are sufficient details of the methods provided to allow replication by others?
Yes
Are the datasets clearly presented in a useable and accessible format?
Not applicable
References
1. Vandenberghe B, Vanhoof J, Voorend R, Geerts D, et al.: The 'Self' as Barrier for Self-Management Technologies in Healthcare?. PervasiveHealth '18: Proceedings of the 12th EAI International Conference on Pervasive Computing Technologies for Healthcare. 2018. 336-346 Publisher Full Text | Reference SourceCompeting Interests: No competing interests were disclosed.
Reviewer Expertise: human computer interaction, safety-critical systems, human factors & ergonomics
Is the rationale for, and objectives of, the study clearly described?
Yes
Is the study design appropriate for the research question?
Yes
Are sufficient details of the methods provided to allow replication by others?
Yes
Are the datasets clearly presented in a useable and accessible format?
Yes
References
1. May C, Eton D, Boehmer K, Gallacher K, et al.: Rethinking the patient: using Burden of Treatment Theory to understand the changing dynamics of illness. BMC Health Services Research. 2014; 14 (1). Publisher Full TextCompeting Interests: No competing interests were disclosed.
Reviewer Expertise: Qualitative analysis, patient and public involvement, multiple long-term conditions, polypharmacy
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