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Record W2943927238 · doi:10.1038/s41533-019-0125-y

Protocol for a systematic review of interventions addressing health literacy to improve asthma self-management

2019· review· en· W2943927238 on OpenAlexaff
Hani Salim, Ingrid Young, Sazlina Shariff Ghazali, Ping Yein Lee, Siti Nurkamilla Ramdzan, Hilary Pinnock

Bibliographic record

Venuenpj Primary Care Respiratory Medicine · 2019
Typereview
Languageen
FieldHealth Professions
TopicHealth Literacy and Information Accessibility
Canadian institutionsCentre for Global Health Research
FundersDepartment of Health and Social CareUniversity of EdinburghNational Institute for Health and Care Research
KeywordsMedicineHealth literacyPsychological interventionHealth carePopulationProtocol (science)Competence (human resources)LiteracyHealth promotionMedical educationFamily medicineNursingPublic healthAlternative medicineEnvironmental healthPathologyPsychology

Abstract

fetched live from OpenAlex

INTRODUCTION: People living with asthma need the knowledge and ability to respond to the demands of managing their variable symptoms. Supported self-management (including the use of written asthma action plans) improves health outcomes and reduces attacks. However, limited health literacy makes self-management difficult, which is especially challenging in low-to-middle-income countries (LMICs), where limited health literacy is prevalent. Tailored interventions, potentially including the use of mobile applications (apps), are needed to enable people with limited health literacy to realise the benefits of supported asthma self-management. AIMS AND OBJECTIVES: I aimed to 1). Systematically search for and synthesise evidence of clinical effectiveness of asthma self-management interventions targeted at people with limited health literacy and to identify strategies associated with effective programmes. 2). Explore experiences of living with asthma among people with limited health literacy in Malaysia, to understand the role of health literacy in influencing self-management decisions, the barriers to using evidence-based action plans, and how self-management can be supported. 3). Identify how to design an intervention underpinned by a theory of change. 4). Develop and refine a prototype asthma self-management app tailored to the needs of people with limited health literacy, optimising user experiences. METHODS: Using the Six essential Steps in Quality Intervention Development (6SQuID) model, the programme of work consisted of the following: 1). Following Cochrane methodology, I systematically searched ten databases using a Population, Intervention, Comparison, Outcome and Setting (PICOS) search strategy. Selection of papers, extraction of data and quality assessment (using the Cochrane Risk of Bias tool) were duplicated. The primary outcomes were clinical (asthma control) and implementation (adoption/adherence to intervention). Analysis was narrative, due to the heterogeneity of studies. 2). I adapted an arts-based qualitative methodology, Photovoice. The study was conducted in four stages: 1: Initial in-depth interviews, 2: Photo-training and photo-taking activity, 3: Photo-interviews, 4: A photo-exhibition. I purposively sampled adults with asthma and limited health literacy from four primary healthcare clinics in a district of central Malaysia. Interviews were audio-recorded, transcribed verbatim, translated and analysed using two approaches: i) Narrative exploration of the experience of living with asthma among people with limited health literacy in Malaysia; and ii) Framework analysis informed by Sørensen’s health literacy framework. Findings were interpreted in discussion within a multidisciplinary group. 3). With reference to the 6SQuID model, I used the study findings to design an intervention. 4). I adapted the Design Sprint method to an online format that took place over five days. Stakeholders provided insights on self-management issues (Stage 1), which informed the development of the prototype (Stages 2 to 4). Participants with asthma and limited health literacy tested the prototype and provided qualitative feedback, including a ‘thinking-aloud’ process triangulated with screen recordings of app browsing activities (Stage 5). Interviews were audio-recorded, translated and analysed thematically to identify utility and usability issues. RESULTS: 1). I screened 4,318 titles and abstracts, reviewed 52 full-text studies, and included five studies. The risk of bias was low in one and high in the other four studies. Clinical outcomes were reported in two studies, both at high risk of bias. None reported uptake or adherence as an outcome of the intervention. Behavioural change strategies typically focused on improving an individual’s psychological and physical capacity to enact behaviour (e.g., targeting asthma-related knowledge or comprehension). Less than half of the interventions used specific self-management strategies (e.g., written asthma action plans) tailored to limited health literacy status. A range of innovative approaches was used to provide education. 2). Twenty-six participants provided interviews; eight also completed the Photovoice activities. i) The concept of autonomy was the primary lens that pulled the data together. Through the lens of autonomy, three themes were identified: asthma as a life story, reclaiming identity in the network of everyday relationships, and redefining interactions with the health system and environment. ii) Health literacy was identified as a process of negotiating medical narratives and social practice. Participants with limited health literacy used various sources (e.g., social media) to access information about asthma and self-management but typically lacked appraisal skills. Doctor–patient communication had a pivotal role in helping patients understand asthma, though written action plans were rarely provided. Self-management decisions were influenced by socio-cultural norms, experiential knowledge and available social support. Specific challenges and recommendations in the use of action plans were identified. 3). Building on the previous literature, the systematic review and the qualitative study, I used Steps 1 to 4 of the 6SQuID model to define my intervention development. 4). Stakeholder discussions identified multi-level challenges. Five participants tested the prototype and described how the app influenced or could support self-management (utility): offering information, providing access to an asthma action plan, supporting medication adherence, and behaviour change. Specific usability issues addressed navigation, comprehension and layout. CONCLUSION: People with asthma experience challenges in coping with the variable symptoms of acute asthma. In the context of people with limited health literacy, understanding asthma and making decisions about self-management were heavily influenced by societal norms; therefore, interventions require a whole-system approach. Mobile technology may be an appropriate medium for delivering tailored self-management support at an individual level. Future studies are needed to test the feasibility of the prototype intervention in clinical practice.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.012
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.480
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0080.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.212
GPT teacher head0.584
Teacher spread0.372 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations5
Published2019
Admission routes1
Has abstractyes

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