Browsing by Author "Kruger, James"

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    Attrition when providing antiretroviral treatment at CD4 counts >500cells/μL at three government clinics included in the HPTN 071 (PopART) trial in South Africa
    (Public Library of Science, 2018-04-19) Bock, Peter; Fatti, Geoffrey; Ford, Nathan; Jennings, Karen; Kruger, James; Gunst, Colette; Louis, Francoise; Grobbelaar, Nelis; Shanaube, Kwame; Floyd, Sian; Grimwood, Ashraf; Hayes, Richard; Ayles, Helen; Fidler, Sarah; Beyers, N. (Nulda)
    Introduction: WHO recommends antiretroviral treatment (ART) for all HIV-positive individuals. This study evaluated the association between baseline CD4 count and attrition in a cohort of HIV positive adults initiating ART at three department of health (DOH) clinics routinely providing ART at baseline CD4 counts >500cells/μL for the HPTN 071 (PopART) trial. Methods: All clients attending the DOH clinics were managed according to standard care guidelines with the exception that those starting ART outside of pertinent local guidelines signed research informed consent. DOH data on all HIV-positive adult clients recorded as having initiated ART between January 2014 and November 2015 at the three study clinics was analysed. Attrition, included clients lost to follow up or died, and was defined as ‘being three or more months late for an antiretroviral pharmacy pick-up appointment’. All clients were followed until attrition, transfer out or end May 2016. Results: A total of 2423 clients with a median baseline CD4 count of 328 cells/μL (IQR 195–468) were included of whom 631 (26.0%) experienced attrition and 140 (5.8%) were TFO. Attrition was highest during the first six months of ART (IR 38.3/100 PY; 95% CI 34.8–42.1). Higher attrition was found amongst those with baseline CD4 counts > 500 cells/μL compared to those with baseline CD4 counts of 0–500 cells/μL (aHR 1.26, 95%CI 1.05 to 1.52) This finding was confirmed on subset analyses when restricted to individuals non-pregnant at baseline and when restricted to individuals with follow up of > 12months. Conclusions:Attrition in this study was high, particularly during the first six months of treatment. Attrition was highest amongst clients starting ART at baseline CD4 counts > 500 cells/μL. Strategies to improve retention amongst ART clients, particularly those starting ART at baseline CD4 counts >500cells/μL, need strengthening. Improved monitoring of clients moving in and out of ART care and between clinics will assist in better understanding attrition and ART coverage in high burden countries.
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    Doing more with less : a qualitative investigation of perceptions of South African health service managers on implementation of health innovations
    (Oxford University Press, 2019) Brooke-Sumner, Carrie; Petersen-Williams, Petal; Kruger, James; Mahomed, Hassan; Myers, Bronwyn
    Building resilience in health systems is an imperative for low- and middle- income countries. Health service managers’ ability to implement health innovations may be a key aspect of resilience in primary healthcare facilities, promoting adaptability and functionality. This study investigated health service managers’ perceptions and experiences of adopting health innovations. We aimed to identify perceptions of constraints to adoption and emergent behaviours in response to these constraints. A convenience sample of 34 facility, clinical service and sub-district level managers was invited to participate. Six did not respond and were not contactable. In-depth individual interviews in a private space at participants’ place of work were conducted with 28 participants. Interviews were audio recorded and transcribed verbatim. NVivo 11 was used to store data and facilitate framework analysis. Study participants described constraints to innovation adoption including: staff lack of understanding of potential benefits; staff personalities, attitudes and behaviours which lead to resistance to change; high workload related to resource constraints and frequent policy changes inducing resistance to change; and suboptimal communication through health system structures. Managers reported employing various strategies to mitigate these constraints. These comprised (1) technical skills including participatory management skills, communication skills, community engagement skills and programme monitoring and evaluation skills, and (2) non-technical skills including role modelling positive attitudes, understanding staff personalities, influencing perceptions of innovations, influencing organizational climate and building trusting relationships. Managers have a vital role in the embedding of service innovations into routine practice. We present a framework of technical and non-technical skills that managers need to facilitate the adoption of health innovations. Future efforts to build managers’ capacity to implement health innovations should target these competencies.
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    Retention in care and factors critical for effectively implementing antiretroviral adherence clubs in a rural district in South Africa
    (Wiley Open Access, 2019-09-03) Bock, Peter; Gunst, Colette; Maschilla, Leonard; Holtman, Rory; Grobbelaar, Nelis; Wademan, Dillon; Dunbar, Rory; Fatti, Geoffrey; Kruger, James; Ford, Nathan; Hoddinott, Graeme; Meehan, Sue-Ann
    Introduction: Differentiated models of care that include referral of antiretroviral treatment (ART) clients to adherence clubs are an important strategy to help clinics manage increased number of clients living with HIV in resource-constrained settings. This study reported on (i) clinical outcomes among ART clients attending community-based adherence clubs and (ii) experiences of adherence clubs and perceptions of factors key to successful adherence club implementation among clients and healthcare workers. Methods: A retrospective cohort analysis of routine data and a descriptive analysis of data collected through self-administered surveys completed by clients and healthcare workers were completed. Clients starting ART at the study clinic, between January 2014 and December 2015, were included in the cohort analysis and followed up until December 2016. The survey data were collected from August to September 2017. The primary outcome for the cohort analysis was a comparison of loss to follow-up (LTFU) between clients staying in clinic care and those referred to adherence clubs. Survey data reported on client experiences of and healthcare worker perceptions of adherence club care. Results: Cohort analysis reported on 465 participants, median baseline CD4 count 374 (IQR: 234 to 532) cells/ll and median follow-up time 20.7 (IQR 14.1 to 27.7) months. Overall, 202 (43.4%) participants were referred to an adherence club. LTFU was lower in those attending an adherence club (aHR =0.25, 95% CI: 0.11 to 0.56). This finding was confirmed on analysis restricted to those eligible for adherence club referral (aHR =0.28, 95% CI: 0.12 to 0.65). Factors highlighted as associated with successful adherence club implementation included: (i) referral of stable clients to the club, (ii) an ideal club size of ≥20 members, (iii) club services led by a counsellor (iv) using churches or community halls as venues (v) effective communication between all parties, and (vi) timely delivery of prepacked medication. Conclusions: This study showed good clinical outcomes, positive patient experiences and healthcare worker perceptions of the adherence club model. Factors associated with successful adherence club implementation, highlighted in this study, can be used to guide implementers in the scale-up of adherence club services across varied high-burden settings.