Dataset Information

Self-Management Analysis in Chronic Conditions (SMACC) checklist: an international consensus-based tool to develop, compare and evaluate self-management support programmes.

ABSTRACT:

Objectives

The Self-Management Analysis in Chronic Conditions (SMACC) checklist was developed as a guidance tool to support the development, comparison and evaluation of self-management support programmes for persons with a chronic condition. The checklist was based on a previously performed concept analysis of self-management. The aim of this study was to validate its content using an international Delphi study and to deliver a final version.

Design

A two-round Delphi study was conducted between October 2022 and January 2023. Using the researchers' networks, professionals with research or clinical expertise in self-management support and chronic conditions were recruited via online purposive snowball sampling. Participants were asked to score each item of the checklist (16 items total) on 3 content validity indicators: (1) clarity and comprehensibility, (2) relevance and importance and (3) degree of alignment with the overall goal of the checklist to promote adequate and comprehensive self-management support programmes. A consensus threshold of 75% agreement was used. The participants were also asked general questions about the checklist as a whole and were asked to provide feedback considering its refinement.

Results

Fifty-four professionals with an average 14.5 years of experience participated in round 1, 48 with an average 12.5 years of experience participated in round 2. The majority of professionals were from Western Europe. For the majority of items consensus was reached after round 1. In round 2, 3 of the 4 remaining items reached consensus, 1 last item was retained based on highly recurring feedback.

Conclusions

The SMACC checklist was considered a valid and comprehensive tool to aid the development, evaluation and comparison of self-management support programmes. It was acknowledged as a useful instrument to supplement existing frameworks and was seen as feasible to implement in both research and clinical settings. Further validation in the field, with input from patients and peer experts, will be valuable.

SUBMITTER: Moreels T

PROVIDER: S-EPMC10749005 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature

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Publications

Self-Management Analysis in Chronic Conditions (SMACC) checklist: an international consensus-based tool to develop, compare and evaluate self-management support programmes.

Moreels Timothy T Cruyt Ellen E De Baets Stijn S Andries Lore L Arts-Tielemans Magelien M Rodriguez-Bailon Maria M Bergström Aileen A Boete Kyara K Bormans Iris I Costa Ursula U Declercq Hanne H Dekelver Sari S Dekyvere Virginie V Delooz Eva E Engels Cynthia C Helderweirt Sam S Jarrey Mike M Lenaerts Anneleen A Leyman Anneleen A Lim Kee Hean KH Meynen Louise L Satink Ton T Schoenmakers Freya F Senn Daniela D Slembrouck Lise L Van Meensel Emma E Vangenechten Dani D Van Paepeghem Bram B De Vriendt Patricia P Van de Velde Dominique D

BMJ open 20231220 12

<h4>Objectives</h4>The Self-Management Analysis in Chronic Conditions (SMACC) checklist was developed as a guidance tool to support the development, comparison and evaluation of self-management support programmes for persons with a chronic condition. The checklist was based on a previously performed concept analysis of self-management. The aim of this study was to validate its content using an international Delphi study and to deliver a final version.<h4>Design</h4>A two-round Delphi study was c ...[more]

PMID: 38128945

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Project description:ObjectivesThe objective of this study was to examine the value of time-driven activity-based costing (TDABC) in understanding the process and costs of delivering diabetes self-management education (DSME) programmes in a multicountry comparative study.SettingOutpatient settings in five European countries (Austria, Denmark, Germany, Ireland, UK) and two countries outside Europe, Taiwan and Israel.ParticipantsProviders of DSME programmes across participating countries (N=16) including healthcare professionals, administrators and patients taking part in DSME programmes.Primary and secondary measuresPrimary measure: time spent by providers in the delivery of DSME and resources consumed in order to compute programme costs. Secondary measures: self-report measures of behavioural self-management and diabetes disease/health-related outcomes.ResultsWe found significant variation in costs and the processes of how DSME programmes are provided across and within countries. Variations in costs were driven by a combination of price variances, mix of personnel skill and efficiency variances. Higher cost programmes were not found to have achieved better relative outcomes. The findings highlight the value of TDABC in calculating a patient level cost and potential of the methodology to identify process improvements in guiding the optimal allocation of scarce resources in diabetes care, in particular for DSME that is often underfunded.ConclusionsThis study is the first to measure programme costs using estimates of the actual resources used to educate patients about managing their medical condition and is the first study to map such costs to self-reported behavioural and disease outcomes. The results of this study will inform clinicians, managers and policy makers seeking to enhance the delivery of DSME programmes. The findings highlight the benefits of adopting a TDABC approach to understanding the drivers of the cost of DSME programmes in a multicountry study to reveal opportunities to bend the cost curve for DSME.

Project description:BackgroundThe availability of mobile health apps for self-care continues to increase. While little evidence of their clinical impact has been published, there is general agreement among health authorities and authors that consumers' use of health apps assist in self-management and potentially clinical decision making. A consumer's sustained engagement with a health app is dependent on the usability and functionality of the app. While numerous studies have attempted to evaluate health apps, there is a paucity of published methods that adequately recognize client experiences in the academic evaluation of apps for chronic conditions.ObjectiveThis paper reports (1) a protocol to shortlist health apps for academic evaluation, (2) synthesis of a checklist to screen health apps for quality and reliability, and (3) a proposed method to theoretically evaluate usability of health apps, with a view towards identifying one or more apps suitable for clinical assessment.MethodsA Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flow diagram was developed to guide the selection of the apps to be assessed. The screening checklist was thematically synthesized with reference to recurring constructs in published checklists and related materials for the assessment of health apps. The checklist was evaluated by the authors for face and construct validity. The proposed method for evaluation of health apps required the design of procedures for raters of apps, dummy data entry to test the apps, and analysis of raters' scores.ResultsThe PRISMA flow diagram comprises 5 steps: filtering of duplicate apps; eliminating non-English apps; removing apps requiring purchase, filtering apps not updated within the past year; and separation of apps into their core functionality. The screening checklist to evaluate the selected apps was named the App Chronic Disease Checklist, and comprises 4 sections with 6 questions in each section. The validity check verified classification of, and ambiguity in, wording of questions within constructs. The proposed method to evaluate shortlisted and downloaded apps comprises instructions to attempt set-up of a dummy user profile, and dummy data entry to represent in-range and out-of-range clinical measures simulating a range of user behaviors. A minimum score of 80% by consensus (using the Intraclass Correlation Coefficient) between raters is proposed to identify apps suitable for clinical trials.ConclusionsThe flow diagram allows researchers to shortlist health apps that are potentially suitable for formal evaluation. The evaluation checklist enables quantitative comparison of shortlisted apps based on constructs reported in the literature. The use of multiple raters, and comparison of their scores, is proposed to manage inherent subjectivity in assessing user experiences. Initial trial of the combined protocol is planned for apps pertaining to the self-monitoring of asthma; these results will be reported elsewhere.

Dataset Information

Self-Management Analysis in Chronic Conditions (SMACC) checklist: an international consensus-based tool to develop, compare and evaluate self-management support programmes.

Objectives

Design

Results

Conclusions

Publications

Self-Management Analysis in Chronic Conditions (SMACC) checklist: an international consensus-based tool to develop, compare and evaluate self-management support programmes.

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