Quasi-experimental evaluation of a financial incentive for first-dose COVID-19 vaccination among adults aged ≥60 years in South Africa.

INTRODUCTION: COVID-19 vaccination coverage in South Africa (RSA) remains low despite increased access to vaccines. On 1 November 2021, RSA introduced the Vooma Voucher programme which provided a small guaranteed financial incentive, a Vooma Voucher redeemable at grocery stores, for COVID-19 vaccination among older adults, a population most vulnerable to serious illness, hospitalisation and death. However, the association of financial incentives with vaccination coverage remains unclear. METHODS: We evaluated the association of the conditional economic incentive programme with first-dose vaccination rates among adults (aged ≥60 years) through a quasi-experimental cohort study. The Vooma Voucher programme was a nationwide vaccination incentive programme implemented for adults aged ≥60 years from 1 November 2021 to 28 February 2022. We ran ITS models to evaluate the Vooma Voucher programme at national and provincial levels. We used data between 1 October 2021 and 27 November 2021 in models estimated at the daily level. Individuals who received their first vaccine dose received a text message to access a ZAR100 ($~7) voucher that was redeemable at grocery stores. RESULTS: The Vooma Voucher programme was associated with a 7.15%-12.01% increase in daily first-dose vaccinations in November 2021 compared with late October 2021. Overall, the incentive accounted for 6476-10 874 additional first vaccine doses from 1 November to 27 November 2021, or 8.31%-13.95% of all doses administered to those aged ≥60 years during that period. This result is robust to the inclusion of controls for the number of active vaccine delivery sites and for the nationwide Vooma vaccination weekend initiative (12 November to 14 November), both of which also increased vaccinations through expanded access to vaccines and demand creation activities. CONCLUSIONS: Financial incentives for COVID-19 vaccination led to a modest increase in first-dose vaccinations among older adults in RSA. Financial incentives and expanded access to vaccines may result in higher vaccination coverage. TRIAL REGISTRATION NUMBER SANCTR: DOH-27-012022-9116.

Health Technology Assessment in Support of National Health Insurance in South Africa.

South Africa has embarked on major health policy reform to deliver universal health coverage through the establishment of National Health Insurance (NHI). The aim is to improve access, remove financial barriers to care, and enhance care quality. Health technology assessment (HTA) is explicitly identified in the proposed NHI legislation and will have a prominent role in informing decisions about adoption and access to health interventions and technologies. The specific arrangements and approach to HTA in support of this legislation are yet to be determined. Although there is currently no formal national HTA institution in South Africa, there are several processes in both the public and private healthcare sectors that use elements of HTA to varying extents to inform access and resource allocation decisions. Institutions performing HTAs or related activities in South Africa include the National and Provincial Departments of Health, National Treasury, National Health Laboratory Service, Council for Medical Schemes, medical scheme administrators, managed care organizations, academic or research institutions, clinical societies and associations, pharmaceutical and devices companies, private consultancies, and private sector hospital groups. Existing fragmented HTA processes should coordinate and conform to a standardized, fit-for-purpose process and structure that can usefully inform priority setting under NHI and for other decision makers. This transformation will require comprehensive and inclusive planning with dedicated funding and regulation, and provision of strong oversight mechanisms and leadership.

Assessment of facility-based tuberculosis data quality in an integrated HIV/TB database in three South African districts.

BACKGROUND: Assessment of data quality is essential to successful monitoring & evaluation of tuberculosis (TB) services. South Africa uses the Three Interlinked Electronic Register (TIER.Net) to monitor TB diagnoses and treatment outcomes. We assessed the quality of routine programmatic data as captured in TIER.Net. METHODS: We reviewed 277 records from routine data collected for adults who had started TB treatment for drug-sensitive (DS-) TB between 10/2018-12/2019 from 15 facilities across three South African districts using three sources and three approaches to link these (i.e., two approaches compared TIER.NET with the TB Treatment Record while the third approach compared all three sources of TB data: the TB treatment record or patient medical file; the TB Identification Register; and the TB module in TIER.Net). We report agreement and completeness of demographic information and key TB-related variables across all three data sources. RESULTS: In our first approach we selected 150 patient records from TIER.Net and found all but one corresponding TB Treatment Record (99%). In our second approach we were also able to find a corresponding TIER.Net record from a starting point of the paper-based, TB Treatment Record for 73/75 (97%) records. We found fewer records 55/75 (73%) in TIER.Net when we used as a starting point records from the TB Identification Register. Demographic information (name, surname, date of birth, and gender) was accurately reported across all three data sources (matching 90% or more). The reporting of key TB-related variables was similar across both the TB Treatment Record and the TB module in TIER.Net (p>0.05). We observed differences in completeness and moderate agreement (Kappa 0.41-0.60) for site of disease, TB treatment outcome and smear microscopy or X-ray as a diagnostic test (p<0.05). We observed more missing items for the TB Treatment record compared to TIER.Net; TB treatment outcome date and site of disease specifically. In comparison, TB treatment start dates as well as HIV-status recording had higher concordance. HIV status and lab results appeared to be more complete in the TB module in TIER.Net than in the TB Treatment Records, and there was "good/substantial" agreement (Kappa 0.61-0.80) for HIV status. DISCUSSION AND CONCLUSION: Our key finding was that the TB Module in TIER.Net was more complete in some key variables including TB treatment outcome. Most TB patient records we reviewed were found on TIER.Net but there was a noticeable gap of TB Identification patient records from the paper register as compared to TIER.Net, including those who tested TB-negative or HIV-negative. There is evidence of complete and "good/substantial" data quality for key TB-related variables, such as "First GeneXpert test result" and "HIV status." Improvements in data completeness of TIER.Net compared to the TB Treatment Record are the most urgent area for improvement, especially recording of TB treatment outcomes.

Assessment of facility-level antiretroviral treatment patient status utilizing a national-level laboratory cohort: Toward an understanding of system-level tracking and clinic switching in South Africa.

Background: Most estimates of HIV retention are derived at the clinic level through antiretroviral (ART) patient management systems, which capture ART clinic visit data, yet these cannot account for silent transfers across HIV treatment sites. Patient laboratory monitoring visits may also be observed in routinely collected laboratory data, which include ART monitoring tests such as CD4 count and HIV viral load, key to our work here. Methods: In this analysis, we utilized the NHLS National HIV Cohort (a system-wide viewpoint) to investigate the accuracy of facility-level estimates of retention in care for adult patients accessing care (defined using clinic visit data on patients under ART recorded in an electronic patient management system) at Themba Lethu Clinic (TLC). Furthermore, we describe patterns of facility switching among all patients and those patients classified as lost to follow-up (LTFU) at the facility level. Results: Of the 43,538 unique patients in the TLC dataset, we included 20,093 of 25,514 possible patient records (78.8%) in our analysis that were linked with the NHLS National Cohort, and we restricted the analytic sample to patients initiating ART between 1 January 2007 and 31 December 2017. Most (60%) patients were female, and the median age (IQR) at ART initiation was 37 (31-45) years. We found the laboratory records augmented retention estimates by a median of 860 additional active records (about 8% of all median active records across all years) from the facility viewpoint; this augmentation was more noticeable from the system-wide viewpoint, which added evidence of activity of about one-third of total active records in 2017. In 2017, we found 7.0% misclassification at the facility-level viewpoint, a gap which is potentially solvable through data integration/triangulation. We observed 1,134/20,093 (5.6%) silent transfers; these were noticeably more female and younger than the entire dataset. We also report the most common locations for clinic switching at a provincial level. Discussion: Integration of multiple data sources has the potential to reduce the misclassification of patients as being lost to care and help understand situations where clinic switching is common. This may help in prioritizing interventions that would assist patients moving between clinics and hopefully contribute to services that normalize formal transfers and fewer silent transfers.

Cost-effectiveness analysis of flucytosine as induction therapy in the treatment of cryptococcal meningitis in HIV-infected adults in South Africa.

BACKGROUND: Cryptococcal meningitis in HIV-infected patients in sub-Saharan Africa accounts for three-quarters of the global cases and 135,000 deaths per annum. Current treatment includes the use of fluconazole and amphotericin B. Recent evidence has shown that the synergistic use of flucytosine improves efficacy and reduces toxicity, however affordability and availability has hampered access to flucytosine in many countries. This study investigated the evidence and cost implications of introducing flucytosine as induction therapy for cryptococcal meningitis in HIV-infected adults in South Africa. METHODS: A decision analytic cost-effectiveness and cost impact model was developed based on survival estimates from the ACTA trial and local costs for flucytosine as induction therapy in HIV-infected adults with cryptococcal meningitis in a public sector setting in South Africa. The model considered five treatment arms: (a) standard of care; 2-week course amphotericin B/fluconazole (2wk AmBd/Flu), (b) 2-week course amphotericin B/flucytosine (2wk AmBd/5FC), (c) short course; 1-week course amphotericin B/flucytosine (1wk AmBd/5FC) (d) oral course; 2-week oral fluconazole/flucytosine (oral) and e) 1-week course amphotericin B/fluconazole (1wk AmBd/Flu). A sensitivity analysis was conducted on key variables. RESULTS: The highest total treatment costs are in the 2-week AmBd/5FC arm followed by the 2-week oral regimen, the 1-week AmBd/5FC, then standard of care with the lowest cost in the 1-week AmBd/Flu arm. Compared to the lowest cost option the 1-week flucytosine course is most cost-effective at USD119/QALY. The cost impact analysis shows that the 1-week flucytosine course has an incremental cost of just over USD293 per patient per year compared to what is currently spent on standard of care. Sensitivity analyses suggest that the model is most sensitive to life expectancy and hospital costs, particularly infusion costs and length of stay. CONCLUSIONS: The addition of flucytosine as induction therapy for the treatment of cryptococcal meningitis in patients infected with HIV is cost-effective when it is used as a 1-week AmBd/5FC regimen. Savings could be achieved with early discharge of patients as well as a reduction in the price of flucytosine.

Fast-track treatment initiation counselling in South Africa: A cost-outcomes analysis.

INTRODUCTION: In 2016, under its new National Adherence Guidelines (AGL), South Africa formalized an existing model of fast-track HIV treatment initiation counselling (FTIC). Rollout of the AGL included an evaluation study at 24 clinics, with staggered AGL implementation. Using routinely collected data extracted as part of the evaluation study, we estimated and compared the costs of HIV care and treatment from the provider's perspective at the 12 clinics implementing the new, formalized model (AGL-FTIC) to costs at the 12 clinics continuing to implement some earlier, less formalized, model that likely varied across clinics (denoted here as early-FTIC). METHODS: This was a cost-outcome analysis using standard methods and a composite outcome defined as initiated antiretroviral therapy (ART) within 30 days of treatment eligibility and retained in care at 9 months. Using patient-level, bottom-up resource-utilization data and local unit costs, we estimated patient-level costs of care and treatment in 2017 U.S. dollars over the 9-month evaluation follow-up period for the two models of care. Resource use and costs, disaggregated by antiretroviral medications, laboratory tests, and clinic visits, are reported by model of care and stratified by the composite outcome. RESULTS: A total of 350/343 patients in the early-FTIC/AGL-FTIC models of care are included in this analysis. Mean/median costs were similar for both models of care ($135/$153 for early-FTIC, $130/$151 for AGL-FTIC). For the subset achieving the composite outcome, resource use and therefore mean/median costs were similar but slightly higher, reflecting care consistent with treatment guidelines ($163/$166 for early-FTIC, $168/$170 for AGL-FTIC). Not surprisingly, costs for patients not achieving the composite outcome were substantially less, mainly because they only had two or fewer follow-up visits and, therefore, received substantially less ART than patients who achieved the composite outcome. CONCLUSION: The 2016 adherence guidelines clarified expectations for the content and timing of adherence counseling sessions in relation to ART initiation. Because clinics were already initiating patients on ART quickly by 2016, little room existed for the new model of fast-track initiation counseling to reduce the number of pre-ART clinic visits at the study sites and therefore to reduce costs of care and treatment. TRIAL REGISTRATION: Clinical Trial Number: NCT02536768.

Will differentiated care for stable HIV patients reduce healthcare systems costs?

INTRODUCTION: South Africa's National Department of Health launched the National Adherence Guidelines for Chronic Diseases in 2015. These guidelines include adherence clubs (AC) and decentralized medication delivery (DMD) as two differentiated models of care for stable HIV patients on antiretroviral therapy. While the adherence guidelines do not suggest that provider costs (costs to the healthcare system for medications, laboratory tests and visits to clinics or alternative locations) for stable patients in these differentiated models of care will be lower than conventional, clinic-based care, recent modelling exercises suggest that such differentiated models could substantially reduce provider costs. In the context of continued implementation of the guidelines, we discuss the conditions under which provider costs of care for stable HIV patients could fall, or rise, with AC and DMD models of care in South Africa. DISCUSSION: In prior studies of HIV care and treatment costs, three main cost categories are antiretroviral medications, laboratory tests and general interaction costs based on encounters with health workers. Stable patients are likely to be on the national first-line regimen (Tenofovir/Entricitabine/Efavarinz (TDF/FTC/EFV)), so no difference in the costs of medications is expected. Laboratory testing guidelines for stable patients are the same regardless of the model of care, so no difference in laboratory costs is expected as well. Based on existing information regarding the costs of clinic visits, AC visits and DMD drug pickups, we expect that for some clinics, visit costs for DMD or AC models of care could be less, but modestly so, than for conventional, clinic-based care. For other clinics, however, DMD or AC models could have higher visit costs (see Table 2). CONCLUSIONS: The standard of care for stable patients has already been "differentiated" for years in South Africa, prior to the roll out of the new adherence guidelines. AC and DMD models of care, when implemented as envisioned in the guidelines, are unlikely to generate substantive reductions or increases in provider costs of care.

Understanding the costs and the cost structure of a community-based HIV and gender-based violence (GBV) prevention program: the Woza Asibonisane Community Responses Program in South Africa.

BACKGROUND: The Woza Asibonisane Community Responses (CR) Programme was developed to prevent HIV infections and gender-based violence (GBV) within four provinces in South Africa. The Centre for Communication Impact (CCI) in collaboration with six partner non-governmental organizations (NGOs) implemented the programme, which was comprised of multiple types of group discussion and education activities organized and facilitated by each NGO. To date, little information exists on the cost of implementing such multi-objective, multi-activity, community-based programmes. To address this information gap, we estimated the annual cost of implementing the CR Programme for each NGO. METHODS: We used standard methods to estimate the costs for each NGO, which involved a package of multiple activities targeted to distinct subpopulations in specific locations. The primary sources of information came from the implementing organizations. Costs (US dollars, 2017) are reported for each partner for one implementation year (the U.S. Government fiscal year (10/2016-09/2017). In addition to total costs disaggregated by main input categories, a common metric--cost per participant intervention hour--is used to summarize costs across partners. RESULTS: Each activity included in the CR program involve organizing and bringing together a group of people from the target population to a location and then completing the curriculum for that activity. Activities were held in community settings (meeting hall, community center, sports grounds, schools, etc.). The annual cost per NGO varied substantially, from $260,302 to $740,413, as did scale based on estimated total participant hours, from 101,703 to 187,792 participant hours. The cost per participant hour varied from $2.8-$4.6, with NGO labor disaggregated into salaries for management and salaries for service delivery (providing the activity curriculum) contributing to the largest share of costs per participant hour. CONCLUSIONS: The cost of implementing any community-based program depends on: (1) what the program implements; (2) the resources used; and (3) unit costs for such resources. Reporting on costs alone, however, does not provide enough information to evaluate if the costs are 'too high' or 'too low' without a clearer understanding of the benefits produced by the program, and if the benefits would change if resources (and therefore costs) were changed.

Volunteering, health and the homeless - the cost of establishing a student-run primary healthcare clinic serving the inner-city homeless in South Africa.

BACKGROUND: Those who are homeless are more prone to communicable, respiratory and cardiovascular diseases and are less likely to access healthcare services. In South Africa there are no specific public healthcare services tailored to the needs of these communities, particularly if they are immigrants. Trinity Health Services is a student-run inner-city clinic providing free healthcare to the homeless of Johannesburg, South Africa. The clinic operates two nights per month and provides treatment for mainly acute conditions. The purpose of this study was to determine the costs of establishing and operating a student-run clinic for an indigent population. METHODS: This costing analysis used a mixed-methods approach combining an ingredients-based and top-down methodology. The costs, capital and recurrent, pertaining to the establishment and operating of the clinic as well as the cost of treatment per patient were identified and quantified from 1st January 2016 - 31st December 2017. RESULTS: The capital costs incurred in establishing the clinic were calculated to be £10,968.57 (ZAR 214157.08) and included building alterations, equipment purchased, installations, furniture, application for a pharmacy license, consumables and medications. The recurrent costs per annum were estimated at £17,730.72 (ZAR 346185.54) and comprised of overheads and maintenance, rental, personnel, pharmacy license, consumables and medication. The cost of treatment per patient, included medication dispensed and consumables used in the consultation, was estimated at £3.54 (ZAR 69.05) per visit. CONCLUSIONS: This study summarised the costs of establishing and operating a student-run clinic providing pertinent information essential to the sustainability of the service. It also provides a model for costs associated with free clinics in faith-based and university settings.

Introducing health technology assessment in Tanzania.

OBJECTIVES: Health technology assessment (HTA) is a cost-effective resource allocation tool in healthcare decision-making processes; however, its use is limited in low-income settings where countries fall short on both absorptive and technical capacity. This paper describes the journey of the introduction of HTA into decision-making processes through a case study revising the National Essential Medicines List (NEMLIT) in Tanzania. It draws lessons on establishing and strengthening transparent priority-setting processes, particularly in sub-Saharan Africa. METHODS: The concept of HTA was introduced in Tanzania through revision of the NEMLIT by identifying a process for using HTA criteria and evidence-informed decision making. Training was given on using economic evidence for decision making, which was then put into practice for medicine selection for the NEMLIT. During the revision process, capacity-building workshops were held with reinforcing messages on HTA. RESULTS: Between the period 2014 and 2018, HTA was introduced in Tanzania with a formal HTA committee being established and inaugurated followed by the successful completion and adoption of HTA into the NEMLIT revision process by the end of 2017. Consequently, the country is in the process of institutionalizing HTA for decision making and priority setting. CONCLUSION: While the introduction of HTA process is country-specific, key lessons emerge that can provide an example to stakeholders in other low- and middle-income countries (LMICs) wishing to introduce priority-setting processes into health decision making.

A Profile of the Health of Homeless at an Inner City Primary Health Care Clinic in South Africa.

People who are homeless present for care with poor health status, influenced by their physical and social environment. Trinity Health Services is an interprofessional student-run clinic providing free health care to the inner city homeless of Johannesburg, South Africa. This descriptive survey profiled the disease conditions of the homeless through a retrospective review of patient files, documented on a predesigned case report form. The data were analysed using descriptive statistics. A total of 240 patient visits were reviewed from January-December 2016. Several patients reported consuming alcohol (n=76), smoking cigarettes (n=80) and/or using recreational drugs (n=17). Patients commonly presented with conditions related to the respiratory (n=56) and digestive systems (n=32). The clinic dispenses medication according to a restricted formulary where analgesics (n=93), antibiotics (n=33), antihistamines (n=25) and vitamins (n=20) were prescribed frequently. This study provided baseline information to which the clinic can tailor the services provided.

Adapting Pharmacoeconomics to Shape Efficient Health Systems en Route to UHC - Lessons from Two Continents.

Background: Pharmacoeconomics is receiving increasing attention globally as a set of tools ensuring efficient use of resources in health systems, albeit with different applications depending on the contextual, cultural and development stages of each country. The factors guiding design, implementation and optimisation of pharmacoeconomics as a steering tool under the universal health coverage paradigm are explored using case studies of Germany and South Africa. Findings: German social health insurance is subject to the efficiency precept. Pharmaco-regulatory tools reflect the respective framework conditions under which they developed at particular points in time. The institutionalization and integration of pharmacoeconomics into the remit of the Institute for Quality and Efficiency in Health Care occurred only rather recently. The road has not been smooth, requiring political discourse and complex processes of negotiation. Although enshrined in the National Drug Policy, South Africa has had a more fragmented approach to medicine selection and pricing with different policies in private and public sectors. The regulatory reform for use of pharmacoeconomic tools is ongoing and will be further shaped by the introduction of National Health Insurance. Conclusion: A clear vision or framework is essential as the regulatory introduction of pharmacoeconomics is not a single event but rather a growing momentum. The path will always be subject to influences of politics, economics and market forces beyond the healthcare system so delays and modifications to pharmacoeconomic tools are to be expected. Health systems are dynamic and pharmacoeconomic reforms need to be sufficiently flexible to evolve alongside.

A retrospective record review and assessment of cost of quetiapine use in a community psychiatric setting in the Sedibeng district of Gauteng.

BACKGROUND: With the revision of the National Essential Medicines List in South Africa, quetiapine is only available at the discretion of individual institutions in the public health sector. However, quetiapine is effective in managing all aspects of bipolar disorder, including preventative treatment of depressive episodes, and may be a cost-effective option in severe illness. AIM: To present the first retrospective review of quetiapine use in a peri-urban health district of South Africa, describing the patient profile, clinical response and prescribing patterns. METHODS: The clinical files of all patients in Sedibeng District who received quetiapine over a defined 3-year period (2011-2013) were reviewed. A positive clinical response was defined as both symptomatic and functional improvement. Demographic and clinical characteristics of responders were compared with that of non-responders. Pre- and post-quetiapine scripts of the responders were audited and costed. RESULTS: Patients who received quetiapine (n = 40) had chronic disabling illness, often with multiple medication trials and hospitalisations prior to quetiapine use. Bipolar II disorder (followed by bipolar I disorder) was the most common primary psychiatric diagnosis documented. Other than improvement in functioning (p < 0.0001), responders differed significantly from non-responders in terms of a higher level of polypharmacy and a significant reduction in median number of medications from pre- to post-quetiapine (p = 0.0057). CONCLUSION: Quetiapine use was associated with a highly significant improvement in functioning; however, it came at a 52% increase in medicine cost. Pre-quetiapine treatments, though, did not achieve an optimal level of functioning, and overall costs may be reduced by more rational prescribing habits.

Resource use and cost of care with biologicals in Crohn's disease in South Africa: a retrospective analysis from a payer perspective.

Background Crohn's disease is a relapsing remitting inflammatory disease of the gastrointestinal tract. Treatment may require expensive biological therapy in severe patients. Affordability of the high cost anti-TNF-α agents has raised concern although evidence suggests cost-offsets can be achieved. There is little information on the resource utilisation of Crohn's patients in low and middle income countries. Objective The objective of this study is to investigate the resource utilisation and costs associated with biologicals treatment of Crohn's disease. Setting The setting for this study is in private healthcare in South Africa from a payer perspective. Method A retrospective longitudinal analysis of an administrative claims database from a large private healthcare insurer of patients who had at least 1 year claims exposure prior to starting biologicals and 2 years follow-up thereafter. Resource utilisation and costs including total Crohn's costs, hospital admissions and surgery, out of hospital costs, biologicals and chronic medicines were analysed. Main outcome measure The primary objective was to compare the change in resource utilisation and costs for Crohn's related conditions before and after starting biological treatment. Results A cohort of 72 patients was identified with a 35% (p = 0.005) reduction in Crohn's related costs (excluding the cost of biologicals) from ZAR 55,925 (U$5369) 1 year before compared to ZAR 36,293 (U$3484) 2 years after starting biological medicines. However, inclusion of the cost of biologicals more than doubled the total costs to ZAR 150,915 (±91,642) U$14,488 (±8798) in Year 2. Significant reductions in out-of hospital Crohn's related spend was also observed. Conclusions A reduction in healthcare costs is seen following starting biologicals in patients with moderate to severe Crohn's disease. However, the high cost of biological therapy outweighs any possible savings achieved in other areas of healthcare utilisation.

Field testing of a multicriteria decision analysis (MCDA) framework for coverage of a screening test for cervical cancer in South Africa.

BACKGROUND: Systematic and transparent approaches to priority setting are needed, particularly in low-resource settings, to produce decisions that are sound and acceptable to stakeholders. The EVIDEM framework brings together Health Technology Assessment (HTA) and multi-criteria decision analysis (MCDA) by proposing a comprehensive set of decision criteria together with standardized processes to support decisionmaking. The objective of the study was to field test the framework for decisionmaking on a screening test by a private health plan in South Africa. METHODS: Liquid-based cytology (LBC) for cervical cancer screening was selected by the health plan for this field test. An HTA report structured by decision criterion (14 criteria organized in the MCDA matrix and 4 contextual criteria) was produced based on a literature review and input from the health plan. During workshop sessions, committee members 1) weighted each MCDA decision criterion to express their individual perspectives, and 2) to appraise LBC, assigned scores to each MCDA criterion on the basis of the by-criterion HTA report.Committee members then considered the potential impacts of four contextual criteria on the use of LBC in the context of their health plan. Feedback on the framework and process was collected through discussion and from a questionnaire. RESULTS: For 9 of the MCDA matrix decision criteria, 89% or more of committee members thought they should always be considered in decisionmaking. Greatest weights were given to the criteria "Budget impact", "Cost-effectiveness" and "Completeness and consistency of reporting evidence". When appraising LBC for cervical cancer screening, the committee assigned the highest scores to "Relevance and validity of evidence" and "Disease severity". Combination of weights and scores yielded a mean MCDA value estimate of 46% (SD 7%) of the potential maximum value. Overall, the committee felt the framework brought greater clarity to the decisionmaking process and was easily adaptable to different types of health interventions. CONCLUSIONS: The EVIDEM framework was easily adapted to evaluating a screening technology in South Africa, thereby broadening its applicability in healthcare decision making.