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Evaluation of an electronic clinical decision support system (DeSSBack) to improve low back pain management: a pilot cluster randomized controlled trial.
Tun Firzara, Abdul Malik; Teo, Chin Hai; Teh, Shu Yi; Su, Je Yu; Mohd Zaini, Hana Salwani; Suhaimi, Anwar; Ng, Wei Leik; Danaee, Mahmoud; Stevenson, Kay; Mallen, Christian David; Ng, Chirk Jenn.
Afiliação
  • Tun Firzara AM; Department of Primary Care Medicine, Faculty of Medicine, Universiti Malaya, 50603 Kuala Lumpur, Malaysia.
  • Teo CH; Department of Primary Care Medicine, Faculty of Medicine, Universiti Malaya, 50603 Kuala Lumpur, Malaysia.
  • Teh SY; UM eHealth Unit, Faculty of Medicine, Universiti Malaya, 50603 Kuala Lumpur, Malaysia.
  • Su JY; Department of Primary Care Medicine, Faculty of Medicine, Universiti Malaya, 50603 Kuala Lumpur, Malaysia.
  • Mohd Zaini HS; Department of Primary Care Medicine, Faculty of Medicine, Universiti Malaya, 50603 Kuala Lumpur, Malaysia.
  • Suhaimi A; Department of Information Technology, University Malaya Medical Centre, 59100 Kuala Lumpur, Malaysia.
  • Ng WL; Department of Rehabilitation Medicine, Faculty of Medicine, Universiti Malaya, 50603 Kuala Lumpur, Malaysia.
  • Danaee M; Department of Primary Care Medicine, Faculty of Medicine, Universiti Malaya, 50603 Kuala Lumpur, Malaysia.
  • Stevenson K; Department of Social and Preventive Medicine, Faculty of Medicine, Universiti Malaya, 50603 Kuala Lumpur, Malaysia.
  • Mallen CD; School of Allied Health Professions, Keele University, Staffordshire ST5 5BG, United Kingdom.
  • Ng CJ; Impact Accelerator Unit, Medical School, Keele University, Staffordshire ST5 5BG, United Kingdom.
Fam Pract ; 40(5-6): 742-752, 2023 12 22.
Article em En | MEDLINE | ID: mdl-37237425
ABSTRACT

BACKGROUND:

Low back pain (LBP) is a common reason for primary care consultation; yet doctors often find managing it challenging. An electronic decision support system for LBP (DeSSBack) was developed based on an evidence-based risk stratification tool to improve the management of patients with LBP in a Malaysian primary care setting. This pilot study aimed to assess the feasibility, acceptability, and preliminary effectiveness of DeSSBack for the conduct of a future definitive trial.

METHODS:

A pilot cluster randomized controlled trial (cRCT) with qualitative interviews was conducted. Each primary care doctor was considered a cluster and randomized to either the control (usual practice) or intervention (DeSSBack) group. Patient outcomes including Roland-Morris Disability Questionnaire (RMDQ), Hospital Anxiety and Depression Scale, and a 10-point pain rating scale were measured at baseline and 2-month postintervention. The doctors in the intervention group were interviewed to explore feasibility and acceptability of using DeSSBack.

RESULTS:

Thirty-six patients with nonspecific LBP participated in this study (intervention n = 23; control n = 13). Fidelity was poor among patients but good among doctors. The RMDQ and anxiety score had medium effect sizes of 0.718 and 0.480, respectively. The effect sizes for pain score (0.070) and depression score were small (0.087). There was appreciable acceptability and satisfaction with use of DeSSBack, as it was helpful in facilitating thorough and standardized management, providing appropriate treatment plans based on risk stratification, improving consultation time, empowering patient-centred care, and easy to use.

CONCLUSIONS:

A future cRCT to evaluate the effectiveness of DeSSBack is feasible to be conducted in a primary care setting with minor modifications. DeSSBack was found useful by doctors and can be improved to enhance efficiency. TRIAL REGISTRATION The protocol of the cluster randomized controlled trial was registered at ClinicalTrials.gov (NCT04959669).
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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 1_ASSA2030 Base de dados: MEDLINE Assunto principal: Dor Lombar / Sistemas de Apoio a Decisões Clínicas Tipo de estudo: Clinical_trials / Guideline / Prognostic_studies / Qualitative_research / Risk_factors_studies Limite: Humans Idioma: En Revista: Fam Pract Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 1_ASSA2030 Base de dados: MEDLINE Assunto principal: Dor Lombar / Sistemas de Apoio a Decisões Clínicas Tipo de estudo: Clinical_trials / Guideline / Prognostic_studies / Qualitative_research / Risk_factors_studies Limite: Humans Idioma: En Revista: Fam Pract Ano de publicação: 2023 Tipo de documento: Article