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dc.contributor.authorLebina, Limakatso
dc.contributor.authorAlaba, Olufunke
dc.contributor.authorRingane, Ashley
dc.contributor.authorHlongwane, Khuthadzo
dc.contributor.authorPule, Pogiso
dc.contributor.authorOni, Tolu
dc.contributor.authorKawonga, Mary
dc.descriptionFunder: South African Medical Research Council; doi:; Grant(s): ID:494184
dc.description.abstractAbstract: Background: The Integrated Chronic Disease Management (ICDM) model has been implemented in South Africa to enhance quality of clinical services in Primary Healthcare (PHC) clinics in a context of a high prevalence of chronic conditions and multi-morbidity. This study aimed to assess the implementation fidelity (adherence to guidelines) of the ICDM model. Methods: A cross-sectional study in 16 PHC clinics in two health districts in South Africa: Dr. Kenneth Kaunda (DKK) and West Rand (WR). A fidelity assessment tool with 89 activities and maximum score of 158 was developed from the four interrelated ICDM model components: facility re-organization, clinical supportive management, assisted self-management and strengthening of support systems. Value stream mapping of patient flow was conducted to analyse waiting time and identify operational inefficiencies. ICDM items were scored based on structured observations, facility document reviews and structured questionnaires completed by healthcare workers. Fidelity scores were summarized using medians and proportions and compared by facilities and districts using Chi-Square and Kruskal Wallis test. Results: The monthly patient headcount over a six-month period in these 16 PHC clinics was a median of 2430 (IQR: 1685–2942) individuals over 20 years. The DKK district had more newly diagnosed TB patients per month [median 5.5 (IQR: 4.00–9.33) vs 2.0 (IQR: 1.67–2.92)], and fewer medical officers per clinic [median 1 (IQR: 1–1) vs 3.5 (IQR:2–4.5)] compared to WR district. The median fidelity scores in both districts for facility re-organization, clinical supportive management, assisted self-management and strengthening of support systems were 78% [29/37, IQR: 27–31)]; 77% [30/39 (IQR: 27–34)]; 77% [30/39 (IQR: 28–34)]; and 80% [35/44 (IQR: 30–37)], respectively. The overall median implementation fidelity of the ICDM model was 79% (125/158, IQR, 117–132); WR was 80% (126/158, IQR, 123–132) while DKK was 74% (117/158, IQR, 106–130), p = 0.1409. The lowest clinic fidelity score was 66% (104/158), while the highest was 86% (136/158). A patient flow analysis showed long (2–5 h) waiting times and one stream of care for acute and chronic services. Conclusion: There was some variability of scores on components of the ICDM model by PHC clinics. More research is needed on contextual adaptations of the model.
dc.publisherBioMed Central
dc.rightsAttribution 4.0 International (CC BY 4.0)en
dc.subjectResearch Article
dc.subjectOrganization, structure and delivery of healthcare
dc.subjectIntervention adherence
dc.subjectICDM model
dc.subjectChronic care model
dc.subjectImplementation research
dc.subjectValue stream mapping
dc.titleProcess evaluation of implementation fidelity of the integrated chronic disease management model in two districts, South Africa
prism.publicationNameBMC Health Services Research
dc.contributor.orcidLebina, Limakatso [0000-0001-6825-0573]

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Attribution 4.0 International (CC BY 4.0)
Except where otherwise noted, this item's licence is described as Attribution 4.0 International (CC BY 4.0)