Evaluation of antiretroviral treatment programme monitoring in Eastern Cape, South Africa

Kaposhi, Bethany; Mqoqi, Nokuzola; Schopflocher, Donald

doi:10.1093/heapol/czu028

Cited by 14 publications

(26 citation statements)

References 7 publications

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“…Similar to other research conducted on electronic register systems in South Africa [14,15] demographic information was most complete and accurate as compared to laboratory results and visit history. Importantly, the audit results establish the necessary basis for examining data use, as health workers are unlikely to make use of electronic registers if they cannot trust that data are accurate [7,10]. We identified four broad levels of data use within the facilities studied: level one, where data were used solely for reporting purposes; level two, where data were used to observe facilities' patient populations; level three, where data were used for day to day facility management; and level four, where data were used to inform longer term planning and management processes ( Table 2).…”

Section: Discussionmentioning

confidence: 99%

“…While EMR systems have the potential to play an important role in clinical decision‐making and health system management, their use remains hampered by a range of factors. Poor data quality is one frequently reported impediment to data use . Importantly, as Braa et al .…”

Section: Introductionmentioning

confidence: 99%

“…While EMR systems have the potential to play an important role in clinical decision-making and health system management, their use remains hampered by a range of factors. Poor data quality is one frequently reported impediment to data use [3,[7][8][9]. Importantly, as Braa et al [10] note, high-quality data are a key prerequisite for increasing the use of EMRS data, but it is equally important that data are perceived to be high quality by health workers and administrators.…”

Section: Introductionmentioning

confidence: 99%

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Understanding health worker data use in a South African antiretroviral therapy register

Jobson

Murphy

Huyssteen

et al. 2018

Tropical Med Int Health

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Understanding health worker data use in a South African antiretroviral therapy register

Jobson

Murphy

Huyssteen

et al. 2018

Tropical Med Int Health

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“…Another gap identified in NIMART is the lack of training in data management, data elements definition, ART, HTS, TB and other registers. This results in over-or under-reporting [22]. Consequently, inter-professional education, practice, ethics and professionalism are not emphasised in the clinical years of training and need sensitisation including enhancement of mentorship and the use of innovative training strategies [23].…”

Section: The Impact Of Nimart/hiv Training Strategies On the Implemenmentioning

confidence: 99%

Strategies to improve the implementation of nurse-initiated management of antiretroviral therapy (NIMART) training: a systematic review

Mboweni

Makhado

2020

Preprint

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Background Nurse-Initiated Management of Antiretroviral Therapy ( NIMART) training was introduced with the purpose of improving the knowledge, skills and competence of nurses in providing comprehensive quality care to people living with HIV (PLWH) and facilitating World Health Organisation task-shifting where nurses initiate antiretroviral therapy (ART) rather than doctors to meet the increasing demand of ART drugs. The aim of this review was to identify evidence of training strategies that can improve the implementation and deals with challenges that hinder quality. Methods A measurement tool to assess systematic reviews methodological systematic review tool was used to critically assess selected studies. Studies were sought using multiple databases including CINAHL (EBSCO), Google Scholar, ProQuest, academic journals, SA publications, electronic resources and OAISTER published from January 2012 to February 2017. The initial review of studies yielded 535 results excluding duplications. The screening of full-text articles was conducted, and 33 articles met the eligibility criteria and were included for quality assessment. The rest were excluded. The quality assessment research instrument was used to analyse and synthesise selected full-text articles (n=33). Results The studies indicate that NIMART or HIV training is used interchangeably and has the potential to empower nurses with knowledge and skills. It also has a positive impact on increasing ART uptake; however, nurses still lack confidence and competence to provide comprehensive quality patient-centred care. Studies suggest that a shift from the traditional didactics of lectures or slide presentation methods during training to the use of interactive training strategies that stimulate critical thinking in making decisions about HIV care, followed by mentoring and continuous professional development. Conclusion and recommendation This study reveals that the use of effective training techniques during NIMART training has a positive impact on the learning outcomes, implementation and performance of HIV programmes. The health care system should focus on dealing with barriers that negatively influence NIMART implementation. Given the lack of a framework or model related to NIMART or HIV training, the study recommends the development of a conceptual framework to strengthens the implementation of NIMART training.

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“…A data collector collects or supplies data for the PHIS. Of the 45 articles, 23 assessed the performance of data collectors 14,[29][30][31]33,35,[38][39][40]44,46,47,49,51,55,57,59,60,62,66,[68][69][70] (see Table 1). Details of facilitators and barriers for data collector are shown in Supplemental Appendix Table 2. A data collector is a stakeholder with whom the data user should build up and nurture a relationship.…”

Section: Data Collectormentioning

confidence: 99%

Identification of the essential components of quality in the data collection process for public health information systems

Cheng

Hailey³

et al. 2019

Health Informatics J

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This study identifies essential components in the data collection process for public health information systems based on appraisal and synthesis of the reported factors affecting this process in the literature. Extant process assessment instruments and studies of public health data collection from electronic databases and the relevant institutional websites were reviewed and analyzed following a five-stage framework. Four dimensions covering 12 factors and 149 indicators were identified. The first dimension, data collection management, includes data collection system and quality assurance. The second dimension, data collector, is described by staffing pattern, skill or competence, communication and attitude toward data collection. The third, information system, is assessed by function and technology support, integration of different data collection systems, and device. The fourth dimension, data collection environment, comprises training, leadership, and funding. With empirical testing and contextual analysis, these essential components can be further used to develop a framework for measuring the quality of the data collection process for public health information systems.

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Evaluation of antiretroviral treatment programme monitoring in Eastern Cape, South Africa

Cited by 14 publications

References 7 publications

Understanding health worker data use in a South African antiretroviral therapy register

Understanding health worker data use in a South African antiretroviral therapy register

Strategies to improve the implementation of nurse-initiated management of antiretroviral therapy (NIMART) training: a systematic review

Identification of the essential components of quality in the data collection process for public health information systems

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