Electronic Integrated Management of Childhood Illness (eIMCI): a randomized controlled trial to evaluate an electronic clinical decision-making support system for management of sick children in primary health care facilities in South Africa

BACKGROUND

Electronic clinical decision-making support systems (eCDSS) aim to assist clinicians making complex patient management decisions and improve adherence to evidence-based guidelines. Integrated management of Childhood Illness (IMCI) provides guidelines for management of sick children attending primary health care clinics and is widely implemented globally. An electronic version of IMCI (eIMCI) was developed in South Africa.

METHODS

We conducted a cluster randomized controlled trial comparing management of sick children with eIMCI to the management when using paper-based IMCI (pIMCI) in one district in KwaZulu-Natal. From 31 clinics in the district, 15 were randomly assigned to intervention (eIMCI) or control (pIMCI) groups. Computers were deployed in eIMCI clinics, and one IMCI trained nurse was randomly selected to participate from each clinic. eIMCI participants received a one-day computer training, and all participants received a similar three-day IMCI update and two mentoring visits. A quantitative survey was conducted among mothers and sick children attending participating clinics to assess the quality of care provided by IMCI practitioners. Sick child assessments by participants in eIMCI and pIMCI groups were compared to assessment by an IMCI expert.

RESULTS

Self-reported computer skills were poor among all nurse participants. IMCI knowledge was similar in both groups. Among 291 enrolled children: 152 were in the eIMCI group; 139 in the pIMCI group. The mean number of enrolled children was 9.7 per clinic (range 7-12). IMCI implementation was sub-optimal in both eIMCI and pIMCI groups. eIMCI consultations took longer than pIMCI consultations (median duration 28 minutes vs 25 minutes; p = 0.02). eIMCI participants were less likely than pIMCI participants to correctly classify children for presenting symptoms, but were more likely to correctly classify for screening conditions, particularly malnutrition. eIMCI participants were less likely to provide all required medications (124/152; 81.6% vs 126/139; 91.6%, p= 0.026), and more likely to prescribe unnecessary medication (48/152; 31.6% vs 20/139; 14.4%, p = 0.004) compared to pIMCI participants.

CONCLUSIONS

Implementation of eIMCI failed to improve management of sick children, with poor IMCI implementation in both groups. Further research is needed to understand barriers to comprehensive implementation of both pIMCI and eIMCI. (349) CLINICAL TRIALS REGISTRATION: Clinicaltrials.gov ID: BFC157/19, August 2019.

Introducing an Ethics Framework for health priority-setting in South Africa on the path to universal health coverage

BACKGROUND

South Africa (SA) has embarked on a process to implement universal health coverage (UHC) funded by National Health Insurance (NHI). The 2019 NHI Bill proposes creation of a health technology assessment (HTA) body to inform decisions about which interventions NHI funds will cover under UHC. In practice, HTA often relies mainly on economic evaluations of cost-effectiveness and budget impact, with less attention to the systematic, specific consideration of important social, organisational and ethical impacts of the health technology in question. In this context, the South African Values and Ethics for Universal Health Coverage (SAVE-UHC) research project recognised an opportunity to help shape the health priority-setting process by providing a way to take account of multiple, ethically relevant considerations that reflect SA values. The SAVE-UHC Research Team developed and tested an SA-specific Ethics Framework for HTA assessment and analysis.

OBJECTIVES

To develop and test an Ethics Framework for use in the SA context for health priority-setting.

METHODS

The Framework was developed iteratively by the authors and a multidisciplinary panel (18 participants) over a period of 18 months, using the principles outlined in the 2015 NHI White Paper as a starting point. The provisional Ethics Framework was then tested with multi-stakeholder simulated appraisal committees (SACs) in three provinces. The membership of each SAC roughly reflected the composition of a potential SA HTA committee. The deliberations and dedicated focus group discussions after each SAC meeting were recorded, analysed and used to refine the Framework, which was presented to the Working Group for review, comment and final approval.

RESULTS

This article describes the 12 domains of the Framework. The first four (Burden of the Health Condition, Expected Health Benefits and Harms, Cost-Effectiveness Analysis, and Budget Impact) are commonly used in HTA assessments, and a further eight cover the other ethical domains. These are Equity, Respect and Dignity, Impacts on Personal Financial Situation, Forming and Maintaining Important Personal Relationships, Ease of Suffering, Impact on Safety and Security, Solidarity and Social Cohesion, and Systems Factors and Constraints. In each domain are questions and prompts to enable use of the Framework by both analysts and assessors. Issues that arose, such as weighting of the domains and the availability of SA evidence, were discussed by the SACs.

CONCLUSIONS

The Ethics Framework is intended for use in priority-setting within an HTA process. The Framework was well accepted by a diverse group of stakeholders. The final version will be a useful tool not only for HTA and other priority-setting processes in SA, but also for future efforts to create HTA methods in SA and elsewhere.

A health systems strengthening intervention to improve quality of care for sick and small newborn infants: results from an evaluation in district hospitals in KwaZulu-Natal, South Africa

Background

Many newborn infants die from preventable causes in South Africa, often these deaths occur in district hospitals. A multipronged intervention aiming to improve quality of newborn care in district hospitals was implemented comprising training in clinical care for sick and small newborns, skills development for health managers, on-site mentoring, and hospital accreditation. We present the results of the project evaluation.

Methods

We conducted three sequential cross-sectional surveys in 39 participating district hospitals at baseline, midpoint and endpoint of the three-year intervention period. Data were collected by a trained midwife using a series of checklists including: availability of trained staff, drugs and equipment; newborn care practices; perinatal mortality audits; neonatal unit staff skills; quality of record keeping. A scoring system was developed for three domains: resources; care practices; resuscitation equipment, and a composite score that included all variables measured. Health worker (HW) knowledge was assessed at midpoint and endpoint.

Results

The average score for resources increased from 13.5 at baseline to 22.6 at endpoint (maximum score 34), for care practices from 17.7 to 22.6 (maximum score 29), and for resuscitation equipment from 10.8 to 16.1 (maximum 25). Average composite score improved significantly from 42.0 at baseline to 55.7 at midpoint to 60.7 at endpoint (maximum score 88) (p = 0.0012). Among 39 participating hospitals, 38 achieved higher scores at endpoint compared to baseline. Knowledge was higher among HWs trained during the project at midpoint and endpoint. Gaps that remained included poor infrastructure, lack of resuscitation equipment in some areas, poor postnatal care and lack of a dedicated doctor.

Conclusions

This intervention achieved measurable improvements in many important elements contributing to newborn care. A scoring system was used to track progress, compare facilities’ performance, and identify areas for improvement. Various methods were used to generate the quality of care score, including skills assessment and record reviews. However, measuring quality of clinical care and outcomes was challenging, and we were unable to determine whether the intervention improved clinical care and lead directly to improved outcomes for babies. In developing a future score for quality of care, a stronger focus should be placed on assessing clinical care and outcomes.

Biochemical and molecular diagnosis of glutaric aciduria type 1 in a black South African male child: case report

Glutaric aciduria type 1 (GA-1) is an inborn error of metabolism caused by a deficiency of the mitochondrial enzyme glutaryl-Co enzyme A dehydrogenase. GA-1 is not uncommon amongst Caucasians but to the best of our knowledge, it has previously not been reported in black African children. We present a case of GA-1 in a black South African boy who was referred to hospital at the age of five years and ten 10 months with dyskinesia and dystonia accompanied by chorea and athetosis. Radiological examination revealed enlarged basal cisterns with bilateral fluid collection around the sylvian fissures suggestive of GA-1. Analysis of urine showed raised levels of glutaric acid at 520 micromol/mmol creatinine (normal <2.0), 3-hydroxyglutaric acid at 113 micromol/mmol creatinine (normal <3.0) and a low blood carnitine level of 31.5 micromol/l (normal 35-84). A definitive diagnosis was reached through DNA analysis which revealed homozygosity for an A293T mutation in the glutaryl-Co-enzyme A dehydrogenase (GCDH) gene.

Hepatitis B infection in black children from residential care facilities in KwaZulu-Natal. Implications for adoption and foster care

OBJECTIVES

A study was undertaken to assess the prevalence of hepatitis B infection in selected residential child care facilities in Natal.

DESIGN

All residents at three facilities in the Durban and Pietermaritzburg areas of KwaZulu-Natal were tested for markers of hepatitis B infection as part of a broader health status assessment.

RESULTS

One hundred and ninety-five children between the ages of 3 and 194 months (78 +/- 47) were studied. Overall 66.2% of children had evidence of past exposure to hepatitis B virus. Of these 14.9% were positive for hepatitis B surface antigen, 13.3% for hepatitis B e antigen, 47.7% for hepatitis B surface antibody and 59.5% for hepatitis B core antibody. Relative rates of infection increased with age from 18.2%, 20% and 27.8% in the 1st, 2nd and 3rd years of life respectively to 72.2% and 88.2% in the 4th and 5th years of life. Relative rates of infection increased with duration of stay from 40% by the end of the 1st year to 100% by the end of the 5th year.

CONCLUSIONS

This study has demonstrated a very high rate of infection with hepatitis B virus and a high prevalence of hepatitis B surface antigenaemia in residential care facilities. It has also shown that the infection is horizontally transmitted within these facilities, that infection increases with duration of stay, that there is a dramatic increase in infection rates after the 3rd year of life, that the highest carrier rates are occurring in children between the ages of 2 and 4 years, and that the vast majority of carriers are highly infectious. These children are not only at risk themselves for the long-term complications of this disease but also constitute an important reservoir of hepatitis B infection within the larger community. There is an urgent need for uniform national guidelines for the screening and management of children in residential care facilities and children being prepared for adoption or foster care. There is also a need for a wider investigation into conditions at residential care facilities previously designated for black children in this country.