A mixed methods approach to exploring the moderating factors of implementation fidelity of the integrated chronic disease management model in South Africa.
Chronic care model
Contextual factors
Ideal clinic
Primary healthcare
Journal
BMC health services research
ISSN: 1472-6963
Titre abrégé: BMC Health Serv Res
Pays: England
ID NLM: 101088677
Informations de publication
Date de publication:
06 Jul 2020
06 Jul 2020
Historique:
received:
21
02
2020
accepted:
22
06
2020
entrez:
8
7
2020
pubmed:
8
7
2020
medline:
18
12
2020
Statut:
epublish
Résumé
Chronic care models like the Integrated Chronic Disease Management (ICDM) model strive to improve the efficiency and quality of care for patients with chronic diseases. However, there is a dearth of studies assessing the moderating factors of fidelity during the implementation of the ICDM model. The aim of this study is to assess moderating factors of implementation fidelity of the ICDM model. This was a cross-sectional mixed method study conducted in two health districts in South Africa. The process evaluation and implementation fidelity frameworks were used to guide the assessment of moderating factors influencing implementation fidelity of the ICDM model. We interviewed 30 purposively selected healthcare workers from four facilities (15 from each of the two facilities with lower and higher levels of implementation fidelity of the ICDM model). Data on facility characteristics were collected by observation and interviews. Linear regression and descriptive statistics were used to analyse quantitative data while qualitative data were analysed thematically. The median age of participants was 36.5 (IQR: 30.8-45.5) years, and they had been in their roles for a median of 4.0 (IQR: 1.0-7.3) years. The moderating factors of implementation fidelity of the ICDM model were the existence of facilitation strategies (training and clinical mentorship); intervention complexity (healthcare worker, time and space integration); and participant responsiveness (observing operational efficiencies, compliance of patients and staff attitudes). One feature of the ICDM model that seemingly compromised fidelity was the inclusion of tuberculosis patients in the same stream (waiting areas, consultation rooms) as other patients with non-communicable diseases and those with HIV/AIDS with no clear infection control guidelines. Participants also suggested that poor adherence to any one component of the ICDM model affected the implementation of the other components. Contextual factors that affected fidelity included supply chain management, infrastructure, adequate staff, and balanced patient caseloads. There are multiple (context, participant responsiveness, intervention complexity and facilitation strategies) interrelated moderating factors influencing implementation fidelity of the ICDM model. Augmenting facilitation strategies (training and clinical mentorship) could further improve the degree of fidelity during the implementation of the ICDM model.
Sections du résumé
BACKGROUND
BACKGROUND
Chronic care models like the Integrated Chronic Disease Management (ICDM) model strive to improve the efficiency and quality of care for patients with chronic diseases. However, there is a dearth of studies assessing the moderating factors of fidelity during the implementation of the ICDM model. The aim of this study is to assess moderating factors of implementation fidelity of the ICDM model.
METHODS
METHODS
This was a cross-sectional mixed method study conducted in two health districts in South Africa. The process evaluation and implementation fidelity frameworks were used to guide the assessment of moderating factors influencing implementation fidelity of the ICDM model. We interviewed 30 purposively selected healthcare workers from four facilities (15 from each of the two facilities with lower and higher levels of implementation fidelity of the ICDM model). Data on facility characteristics were collected by observation and interviews. Linear regression and descriptive statistics were used to analyse quantitative data while qualitative data were analysed thematically.
RESULTS
RESULTS
The median age of participants was 36.5 (IQR: 30.8-45.5) years, and they had been in their roles for a median of 4.0 (IQR: 1.0-7.3) years. The moderating factors of implementation fidelity of the ICDM model were the existence of facilitation strategies (training and clinical mentorship); intervention complexity (healthcare worker, time and space integration); and participant responsiveness (observing operational efficiencies, compliance of patients and staff attitudes). One feature of the ICDM model that seemingly compromised fidelity was the inclusion of tuberculosis patients in the same stream (waiting areas, consultation rooms) as other patients with non-communicable diseases and those with HIV/AIDS with no clear infection control guidelines. Participants also suggested that poor adherence to any one component of the ICDM model affected the implementation of the other components. Contextual factors that affected fidelity included supply chain management, infrastructure, adequate staff, and balanced patient caseloads.
CONCLUSION
CONCLUSIONS
There are multiple (context, participant responsiveness, intervention complexity and facilitation strategies) interrelated moderating factors influencing implementation fidelity of the ICDM model. Augmenting facilitation strategies (training and clinical mentorship) could further improve the degree of fidelity during the implementation of the ICDM model.
Identifiants
pubmed: 32631397
doi: 10.1186/s12913-020-05455-4
pii: 10.1186/s12913-020-05455-4
pmc: PMC7336628
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
617Subventions
Organisme : South African Medical Research Council
ID : 494184
Références
PLoS One. 2016 Nov 3;11(11):e0164974
pubmed: 27812140
Implement Sci. 2006 Oct 26;1:26
pubmed: 17067388
Issue Brief (Commonw Fund). 2004 Jul;(724):1-12
pubmed: 15270051
Int J Integr Care. 2015 Oct 12;15:e038
pubmed: 26528101
J Prim Prev. 2019 Feb;40(1):35-49
pubmed: 30659405
Health Policy Plan. 2017 Mar 1;32(2):257-266
pubmed: 28207046
BMC Public Health. 2014 Jun 09;14:575
pubmed: 24912531
BMC Fam Pract. 2015 Feb 06;16:12
pubmed: 25655401
J Public Health (Oxf). 2015 Dec;37(4):716-27
pubmed: 25525194
Curationis. 2015 Sep 25;38(1):
pubmed: 26841914
Implement Sci. 2012 Mar 22;7:23
pubmed: 22436121
BMJ. 2015 Mar 19;350:h1258
pubmed: 25791983
Implement Sci. 2007 Nov 30;2:40
pubmed: 18053122
BMC Health Serv Res. 2019 Dec 16;19(1):965
pubmed: 31842881
Am J Community Psychol. 2008 Jun;41(3-4):327-50
pubmed: 18322790
BMC Fam Pract. 2015 Aug 19;16:102
pubmed: 26286614
Trop Med Int Health. 2013 Feb;18(2):199-211
pubmed: 23217030
Afr J Prim Health Care Fam Med. 2016 Nov 17;8(1):e1-e7
pubmed: 28155314
BMJ Open. 2019 Jun 3;9(6):e029277
pubmed: 31164369
BMC Health Serv Res. 2018 Sep 14;18(1):711
pubmed: 30217152