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Estimated costs for the delivery of safer conception strategies for HIV-discordant couples in Zimbabwe: a cost analysis

Abstract

Background

In recent years, safer conception strategies have been developed to help HIV-serodiscordant couples conceive a child without transmitting HIV to the seronegative partner. The SAFER clinical trial assessed implementation of these strategies in Zimbabwe.

Methods

As a part of the SAFER study, we estimated the costs (in 2017 $US) associated with individual and combination strategies, in the trial setting and real-world practice, from a healthcare system perspective. Safer conception strategies included: 1) ART with frequent viral load testing until achieving undetectable viral load (ART-VL); 2) daily oral pre-exposure prophylaxis (PrEP); 3) semen-washing with intrauterine insemination; and 4) manual self-insemination at home. For costs in the trial, we used a micro-costing approach, including a time and motion study to quantify personnel effort, and estimated the cost per couple for individual and combination strategies for a mean of 6 months of safer services. For real-world practice, we modeled costs for three implementation scenarios, representing differences from the trial in input prices (paid by the Ministry of Health and Child Care [MOHCC]), intervention intensity, and increments to current HIV prevention and treatment practices and guidelines. We used one-way sensitivity analyses to assess the impact of uncertainty in input variables.

Results

Individual strategy costs were $769–$1615 per couple in the trial; $185–$563 if using MOHCC prices. Under the target intervention intensity and using MOHCC prices, individual strategy costs were $73–$360 per couple over and above the cost of current HIV clinical practices. The cost of delivering the most commonly selected combination, ART-VL plus PrEP, ranged from $166–$517 per couple under the three real-world scenarios. Highest costs were for personnel, lab tests, and strategy-specific consumables, in variable proportions by clinical strategy and analysis scenario. Total costs were most affected by uncertainty in the price of PrEP, number of semen-washing attempts, and scale-up of semen-washing capacity.

Conclusions

Safer conception methods have costs that may be affordable in many low-resource settings. These cost data will help implementers and policymakers add safer conception services. Cost-effectiveness analysis is needed to assess value for money for safer conception services overall and for safer strategy combinations.

Trial registration

Registry Name: Clinicaltrials.gov. Trial registration number: NCT03049176. Registration date: February 9, 2017.

Peer Review reports

Background

With an estimated 14% prevalence of HIV among adults of age 15–49, Zimbabwe has been hit particularly hard by the HIV pandemic [1]. With advances in the development, evidence generation, and scale-up of antiretroviral therapy (ART) for HIV treatment, HIV-positive individuals are able to lead more “normal” lives, which includes having sexual relationships and conceiving children—activities that were previously discouraged and stigmatized in HIV-positive individuals [2]. Studies have shown a strong interest and intention for having children among HIV-positive adults in sub-Saharan African countries [3,4,5]. Safer conception strategies have been developed to help HIV-discordant couples (one partner has HIV while the other does not) conceive a child without transmitting HIV to the seronegative partner (and infant) [6, 7].

Though scale-up of ART for HIV-infected persons has been extensively studied in Zimbabwe, and the roll-out of PrEP for HIV prevention in high-risk populations is now underway [1,2,3,4], data on the estimated resources and costs associated with the delivery of safer conception strategies are lacking. Costs associated with the use of HIV prevention strategies in HIV-discordant couples who wish to conceive a child can help inform future plans to provide safer conception programs in Zimbabwe and sub-Saharan Africa.

This study has two aims: 1) to estimate the resources required (e.g., clinic visits, tests, medications, etc.) to deliver various safer conception strategies, and 2) to estimate the incremental cost per couple for “real world” scenarios for the delivery of the safer strategies in the public sector (e.g., via the Ministry of Health and Child Care [MOHCC]).

We collected data from a research clinic in Chitungwiza, Zimbabwe that specializes in delivering HIV-related care per local guidelines, with a focus on HIV prevention in at-risk populations. This is the first analysis of its kind in Zimbabwe and may inform the delivery of HIV prevention strategies in at-risk couples as a part of the broader HIV treatment and prevention national plan in African countries.

Methods

Overview

Within an on-going prospective research study that was providing safer conception to HIV-discordant couples in Chitungwiza, Zimbabwe (SAFER (www.clinicaltrials.gov NCT#03049176)), we measured the total cost per couple in 2017 $US ($US was the standard currency in use in Zimbabwe during data collection) for individual and combination strategies from a healthcare system perspective using micro-costing, including time & motion data. We then modeled cost for a range of implementation scenarios, representing differences from the trial in input prices, intervention intensity, and increments from current HIV prevention and treatment guidelines and practices.

Study setting

The SAFER Study was a prospective non-randomized open-label clinical trial evaluating the uptake, adherence to, impact, and cost-effectiveness of safer reproduction strategies to prevent HIV transmission in HIV-discordant couples who have expressed a desire to conceive a child. SAFER was implemented in the University of Zimbabwe College of Health Sciences Clinical Trials Research Centre (UZCHS-CTRC) Zengeza 3 Clinical Research Site in Chitungwiza from March 2017 to July 2019. It was approved by the Medical Research Council of Zimbabwe and University of California, San Francisco ethical review boards. SAFER enrolled HIV-discordant couples (n = 23) who expressed a desire to conceive a child, were willing to use at least one safer strategy, and were able to provide informed consent. All counseling and services in the study were delivered per protocol, and couples received appropriate medical care and lab tests per local and global guidelines [8,9,10,11,12].

Interventions

In SAFER, all couples received comprehensive HIV counselling and testing and pre-conception counseling. All couples, regardless of which partner was HIV-positive, were eligible to receive ART for the HIV-positive partner with monthly viral load testing (ART-VL) until achieving pregnancy, and quarterly viral load testing thereafter, and daily oral pre-exposure prophylaxis (PrEP, [TRUVADA®, tenofovir / emtricitabine]) for the HIV-negative partner with 6-monthly creatinine testing. Couples with an HIV-positive male partner were able to receive semen-washing with intrauterine insemination. Couples with an HIV-positive female partner were eligible to receive instruction and supplies to perform manual artificial vaginal insemination (AVI) at home. Couples selected the strategy or combination of strategies that best suited their needs and preferences. All HIV-negative partners received monthly HIV testing, and all female partners received folic acid supplementation and monthly urine pregnancy testing.

Micro-costing of services in clinical trial

We used empirical micro-costing methods to estimate all costs associated with delivering the safer conception strategies during the trial, including personnel, consumable supplies, facilities, capital equipment (including laboratory equipment used for semen-washing and HIV and viral load testing), training, and promotion and outreach to patients [13]. We collected data on resource use and prices from SAFER Study administrative records, the UZCHS-CTRC, clinical study site, and affiliated laboratories. We tabulated total costs per strategy or combination of strategies per couple. Shared costs, such as for administration and facilities, were divided equally across couples. Because ART for HIV treatment is provided by the Ministry of Health (and not by the clinical research site), costs for ART (including personnel time, provision of ART medications, and non-safer specific tests) were estimated using published literature for Zimbabwe and the region [14, 15].

We used an estimated average time from strategy initiation to conception of 6 months based on estimates in literature [16, 17]. We did not include costs for maternity care, as these costs do not differ by strategy. We computed the cost per couple by adding the costs for inputs and services per couple – including clinic personnel time; lab tests; facility-related and infrastructure costs; and other costs, such as office and clinic supplies that are not specific to an individual strategy or related to lab tests (e.g., patient charts, cleaning solution, ovulation tracking tools) – for each individual strategy over a 6-month period, plus a 2-month “run-in” period for screening, counseling and selection of safer conception strategies. During the 2-month “run-in” period, which was prior to initiating conception attempts, all couples returned to the clinic monthly for 2 months to receive counselling on tracking menses and determining the fertile period, and counseling on safer conception options and HIV prevention; HIV negative participants received HIV antibody testing, HIV-positive participants received viral load testing; participants who opted for PrEP as safer conception were started on PrEP during the “run-in” to ensure PrEP was taken at least 3 weeks before conception attempts.

We also calculated the total cost per combination of strategies for the most commonly selected combinations. For strategy combinations, we similarly added the costs for inputs and services noted above for the 2-month run-in period and estimated 6 months of strategy use. However, because the cost of strategy combinations was less than additive due to efficiencies in the delivery of multiple strategies, services in common were counted only once to avoid double-counting. For example, costs associated with general HIV-prevention counseling (including prevention of mother-to-child transmission), counseling on ovulation tracking, pelvic exams, HIV testing for the seronegative partner, and outreach are the same regardless of the number of strategies selected, so time and resources used for these tasks and services were the same between individual strategies and strategy combinations. Additive costs, such as the incremental personnel time needed discuss more than one strategy with patients, or costs specific to a strategy (such as costs for medication, adherence counseling, and lab monitoring for PrEP when PrEP is used in conjunction with ART-VL) were accounted for in the strategy combinations.

Personnel

We estimated personnel costs based on salary records for the types of personnel involved in delivering the safer conception strategies. SAFER Study staff are employed in the private sector; Ministry of Health salaries are used in the implementation scenarios below [18].

To quantify personnel effort to deliver each strategy, we conducted a time & motion study. Clinic staff involved in the delivery of patient services participated, including the receptionist/clerk, HIV counsellor, nurses, physicians, pharmacy staff, and onsite laboratory staff. We developed single-page forms based on previously used tools [19], with task codes specific for SAFER. We piloted the forms with staff to ensure codes were aligned with and captured all tasks. Over a typical week, clinic staff filled out one form each day as they performed SAFER-specific tasks. Using the data from the forms, we calculated the amount of staff time spent per couple for each safer conception strategy. We conducted a separate time & motion study to evaluate time spent performing offsite laboratory tests. We omitted time spent on research tasks and tasks associated with non-SAFER-Study patient care and interactions; we allocated shared time (e.g., meetings and downtime) proportionally to each strategy. Some safer-related activities occurred infrequently during the time & motion study period (eg, in-office insemination) or were not provided at the study clinic or through the SAFER Study (eg, initiation of ART due to participant demographics); time estimates for tasks related to these services were supplemented with study clinician interviews.

Medications

Medication prices were estimated for first-line ART (TENOLAM-E, tenofovir / lamivudine / efavirenz) and oral PrEP (TRUVADA®, tenofovir / emtricitabine) from records obtained through the Zimbabwe Ministry of Health and Child Care (MOHCC). We also obtained prices from Clinton Health Access Initiative (CHAI) [20, 21] and from the UZCHS-CTRC medication price lists to gather the highest and lowest potential monthly prices for ART and PrEP for sensitivity analyses (these prices were not validated by the MOHCC). The total cost of ART and PrEP included an additional 22% overhead to drug price (per MOHCC correspondence) to capture administrative and distribution costs specific to the dispensing of ART and PrEP.

Laboratory monitoring

We estimated laboratory test frequencies (e.g. creatinine clearance, CD4 count, HIV viral load, Hepatitis B virus) based on the SAFER protocol and guidelines [8,9,10,11,12]. Test costs were obtained through on- and off-site lab records for reagents and test kit prices (prorated based on the number of tests per kit or per reagent unit). Lab facility costs, lab-specific recurrent goods, and capital equipment (including overhead and operating costs based on annual costs, prorated for the number of tests run per year for each type of test) were obtained from clinic and off-site laboratory records. Lab staff costs were captured in this category and obtained through a review of lab records; interviews with lab staff, and a time & motion study.

Other costs

Facility and infrastructure costs including rent, utilities, phone service, and water were collected from administrative records and prorated for the fraction of space within the Zengeza 3 clinical research site where the safer conception services were delivered and the number of couples enrolled in the SAFER study. Costs for non-medication recurrent goods, such as office supplies, exam gloves, cotton swabs, and cleaning supplies were estimated per couple for each type of clinic visit provided, accounting for wastage (based on clinic staff interviews).

Capital items purchased specifically for SAFER, including exam room furniture and durable clinic goods, were amortized based on estimated longevity and allocated based on estimated number of couples that could be served per year in this setting. We allocated costs associated with staff training and patient outreach based on the number of couples in the trial.

Semen-washing is not widely available in Zimbabwe; as such, we estimated startup and capital costs associated with adding semen-washing as a service within the clinical setting, amortized over a 5-year period. Data regarding capital and recurrent goods, personnel time, and other costs were collected and calculated based on delivery of semen-washing services through interviews and a review of records from a private clinic that provides these services in Harare, Zimbabwe.

Modeling of implementation scenarios

We estimated the cost of providing safer conception services in the SAFER study as well as three real-world (non-study) implementation scenarios (Table 1). The first scenario, “High Intensity + Real-world Prices”, applies usual public sector prices to the same resource use observed in the trial. MOHCC clinics pay lower wages and have access to lower-cost reagents for viral load testing (e.g. $46.79 vs $9.40 per person, per test for reagents) [22, 23]. These lower prices are used in all three implementation scenarios. The other two scenarios also consider service intensity. The second scenario, “Target Intensity, Incremental Cost Added to Current Practice”, estimates the extra costs to deliver safer conception strategies at the target service intensity (lower than in the trial; discussed below) over and above the current standard of care in the community (e.g., ART delivery). The third scenario, “Target Intensity, Incremental Cost Added to Standard of Care”, estimates the extra costs to deliver safer conception strategies at the target service intensity that are over and above the standard of care recommended by the MOHCC, which is more intensive than current practice. Each scenario was costed by varying price and/or resource use assumptions in the micro-costing. These scenario estimation methods were based on prior cost modeling in HIV and other infectious disease programs [19, 24].

Table 1 Safer conception cost analysis scenarios

We modeled costs for an estimated average time to conception of 6 months based on literature, with a 2 month “run-in” period for screening, counseling and selection of safer conception strategies [16, 17]. Costs for 1 year of conception attempts can be made available upon request.

The target resource intensity for the latter two scenarios specifies the number of clinic visits, lab tests, and other resources required for the implementation of safer conception strategies in a non-research setting (Fig. 1). We interviewed local clinicians with expertise in reproductive health regarding the potential implementation of safer conception strategies in the public sector to establish a reasonable, less-intensive real-world target. The target intensity reduces costs by lowering service utilization per patient, using non-physician clinicians (such as nurses and HIV counsellors) to deliver care, and allocating fixed resources across more patients.

Fig. 1
figure1

Target resource intensity and components for safer conception strategy delivery by clinic visit and safer conception strategy. ART = Antiretroviral therapy. ART-VL = Antiretroviral therapy with frequent viral load testing. AVI = Artificial vaginal insemination, at home. HBV = Hepatitis B virus. PrEP = Pre-exposure prophylaxis (with TRUVADA [emtricitabine/tenofovir disoproxil fumarate]). STI = Sexually transmitted infection

We based the “current practice” and “standard of care” scenarios on a review of local guidelines that govern the delivery of PrEP, ART, and other HIV prevention services and other literature regarding the delivery of HIV-related treatment and prevention in Zimbabwe [8,9,10,11,12]. We interviewed local experts in HIV treatment and prevention (including co-authors) to understand current standards of care and level of coverage.

Sensitivity analyses

We also performed one-way sensitivity analyses on input variables that we observed were associated with substantial uncertainty and were not represented in the scenarios, including the price of PrEP and scale-up of the semen-washing process (i.e., increased utilization of capital equipment).

Results

Conception strategy selection

A total of 23 HIV-discordant couples enrolled in SAFER during the cost data collection period. Half (52%) of the couples enrolled in the SAFER Study had an HIV-positive female partner. The median age was 31 years for females (range: 21–35), 34 years for males (range: 24–54). Half (52%) of females and 70% of males completed secondary education. Half (57%) of the couples had electricity in their home. All couples were married and in monogamous relationship, and half (52%) of the couples had at least one living child together.

Twenty-two of 23 couples selected two safer conception strategies, and one couple selected three strategies. At baseline, all couples chose at least two methods: 70% chose ART-VL in combination with PrEP; 25% of couples with an HIV-positive female chose ART-VL in combination with AVI; and 27% of those with an HIV-positive male chose ART-VL in combination with semen washing. One couple chose to use a combination of ART, PrEP, and semen washing.

Scenario input prices and Total costs

Unit prices, quantities, unit cost per couple, and data sources can be found in Supplement A; select unit prices or individual cost inputs can be found in Table 2 below. Total cost per couple (in 2017 $US) for each of the strategies and strategy combinations for the SAFER trial and for Scenarios 0, 1, 2, and 3 can be found in Table 3. In the trial (Scenario 0), individual strategies cost from $769–$1615 per couple. Implementation scenario 1 (SAFER study resource intensity but public sector prices) was one-third to two-thirds less expensive than the SAFER study costs. Under Scenario 2, which estimated the costs of delivering individual safer conception strategies using the target resource intensity (less intensive than the trial; see Fig. 1), public sector prices, and assumptions about current practice, we found the cost of delivering safer conception ranged from $73–$360 per couple. The cost of delivering the most commonly selected combination strategy, ART-VL plus PrEP, ranged from $166–$517 per couple under the three real-world implementation scenarios (Table 3).

Table 2 Select Unit Costs for SAFER Conception Services (2017 $US)
Table 3 SAFER Conception total cost per couple (2017 $US)

Strategy cost by type of resource for each of the implementation scenarios found highest costs for personnel, lab tests, and strategy-specific goods, in highly variable proportions by strategy and scenario (Fig. 2, Fig. 3, Fig. 4).

Fig. 2
figure2

Individual strategy cost per couple (2017 $US) by input and activity type: Scenario 1 (High Intensity, Real-world Prices).ART-VL = Antiretroviral therapy with frequent viral load testing. AVI = Artificial vaginal insemination, at home. PrEP = Pre-exposure prophylaxis. SW = Semen-washing

Fig. 3
figure3

Individual strategy cost per couple (2017 $US) by input and activity type: Scenario 2 (Target Intensity, Incremental Cost Added to Current Practice). ART-VL = Antiretroviral therapy with frequent viral load testing. AVI = Artificial vaginal insemination, at home. PrEP = Pre-exposure prophylaxis. SW = Semen-washing

Fig. 4
figure4

Individual strategy cost per couple (2017 $US) by input and activity type: Scenario 3 (Target Intensity, Incremental Cost Added to Standard of Care). ART-VL = Antiretroviral therapy with frequent viral load testing. AVI = Artificial vaginal insemination, at home. PrEP = Pre-exposure prophylaxis. SW = Semen-washing

Variability in costs and sensitivity analyses

Results for 1-way sensitivity analyses under Scenario 2 are described in Table 4. The uncertain inputs that most affect cost are the price of PrEP, number of semen-washing attempts, and unit price per semen-washing procedure. Results of other sensitivity analyses may be made available upon request.

Table 4 SAFER Conception sensitivity analyses (2017 $US)

Discussion

This study estimated the costs associated with delivery of safer conception strategies in a trial and in three scenarios representing a range of real-world applications, from trial intensity but lower public prices, to reduced service intensity as expected with current practice or guidelines. Individual safer conception strategy costs are estimated to be $73–$360 per couple over and above current HIV prevention and treatment costs in this setting. The combination of safer conception strategies is more expensive, but with some efficiencies in the delivery of services that are shared by all strategies (e.g., personnel time for HIV prevention and conception counseling, HIV testing for seronegative partner, pregnancy testing). The cost of delivering the most commonly selected combination strategy, ART-VL plus PrEP, ranges from $166–$517 per couple under the three real-world implementation scenarios. Thus, programmatic context is extremely important. Major drivers of differences in cost across strategies and scenarios include the frequency and intensity of clinic visits, lab tests, and procedures; population coverage of anti-retroviral medications and HIV-related care; price and availability of PrEP; scale-up of semen-washing and number of semen-washing attempts needed per couple; the use of a combination of safer conception strategies versus a single strategy; private- versus public-sector pricing for goods and personnel; and type of personnel delivering services (e.g. physician or medical officer versus nurse or HIV counsellor.

We employed an intensive approach to cost data collection, including a time and motion study and microcosting to portray differences in resource utilization (total and components) among strategies. We also modeled different implementation scenarios to extrapolate our trial findings to the real world.

Though allowing couples to select a combination of strategies led to higher per-couple costs in this study, offering couples a range of strategies and allowing them to choose the options that best meet their needs may help improve adherence [25, 26]. In turn, improved adherence to HIV prevention methods has been demonstrated to significantly increase the efficacy of interventions in several major studies [27,28,29]. Furthermore, the most commonly selected strategy was ART with frequent viral load testing; promoting the use of ART among HIV-positive individuals not only reduces the risk of transmission to others, it also helps improve the health and wellbeing of the index partner [30].

This study has limitations. First, the SAFER trial had just one research site and a relatively small sample size. While this may limit generalizability, the unit costs we found were consistent with those reported in literature in similar settings in the region [31,32,33,34]. Second, our estimation of costs associated with scenarios of safer strategy delivery in the public sector are speculative, even if based on data from published literature and local experts. Some costs collected in this study reflect costs associated with private sector-delivered care, which may result in higher cost estimates than in the public sector. We worked to mitigate these issues by combing literature for additional data and working with local experts to compare the resources and costs in this analysis with those in the public sector.

Third, our scenarios that include ART-VL rely on published estimates of the resources and costs to deliver HIV-related care that are not specific to safer conception (e.g. cost of ART, ART-specific clinic visits, etc.) and were not delivered in the trial. However, the costs for HIV-related care that we used are from the region [14, 15, 31]. Finally, we calculated costs for safer conception strategies using a mix of input-based and activity based-costing. While we took care to not double-count, this method may obscure the total overall costs associated with personnel and facilities, for example, as lab-specific costs include personnel and facility costs for all lab activities.

Lastly, since this study is from a healthcare system perspective, it does not include patient/client-level costs, such as those associated with travel to and from clinics or for productivity losses associated with receiving and using the safer strategies. The “real-world” scenarios in our study assume that – because of the MOHCC’s commitment to covering medical costs associated with the treatment and prevention of HIV, especially in high-risk groups – the MOHCC would incur all clinical costs associated with the delivery of these safer strategies. If a significant cost burden were placed on couples, it may impact selection of strategies, uptake, and adherence to these strategies. Since adherence to HIV treatment and prevention measures is critical to achieving national and global goals, costs to couples and the healthcare system should be carefully considered [27,28,29].

Conclusions

To our knowledge, this is the first study to analyze the costs associated with the delivery of individual and combined safer conception strategies for HIV prevention in discordant couples who wish to conceive a child. While these strategies have been demonstrated to help serodiscordant couples conceive a child, they are not yet widely available in Zimbabwe and many other low-resource settings. Cost data may help implementers and policymakers add safer services to the resources they offer to couples impacted by HIV.

To better understand both the cost and health impact of delivering the safer strategies in Zimbabwe, we are undertaking further analyses to explore the clinical outcomes, acceptability, and modelling of the cost-effectiveness of individual and combination strategies compared to no safer conception strategies. Integrating the safer strategies into current policy and practice in Zimbabwe would require financial investment and commitment among health authorities and HIV care providers. However, in our cost modeling, we found that the incremental resources and costs associated safer conception services – especially for ART-VL and PrEP – are complementary to the treatment and prevention services already included in Zimbabwe’s HIV guidelines. Semen-washing and artificial vaginal insemination at home offer additional options for couples who would prefer these methods either individually or in combination with other strategies.

Successful HIV prevention among discordant couples who would like to conceive a child has the potential to avert new infections in two generations and can help achieve the UNAIDS goal of getting to zero new infections by 2030.

Availability of data and materials

Data generated or analyzed in this study are included in this published article or in the supplementary file (Supplement A: SAFER Cost Analysis). This supplement includes unit prices, quantities, unit cost per couple, and data sources for the safer conception strategies and strategy combinations included in this analysis. For the purposes of confidentiality, some data regarding costs from the SAFER Study have been withheld and some workbook sheets are protected, however, data are available from the corresponding author on reasonable request.

Abbreviations

ART:

Antiretroviral therapy

ART-VL:

Antiretroviral therapy with frequent viral load testing

AVI:

Artificial vaginal insemination

CP:

Current practice

PrEP:

Pre-exposure prophylaxis

HIV:

Human immunodeficiency virus

IUI:

Intrauterine insemination

MOH:

Ministry of health

MOHCC:

Ministry of health and child care

PrEP:

Pre-exposure prophylaxis

SOC:

Standard of care

SW:

Semen-washing

TENOLAM-E:

Tenofovir / lamivudine / efavirenz

UCSF:

University of California, San Francisco

UZCHS-CTU:

University of Zimbabwe college of health sciences clinical trials unit

References

  1. 1.

    Ministry of Health and Child Care (MOHCC), Zimbabwe. Zimbabwe Population-based HIV Impact Assessment (ZIMPHIA) 2015–2016: Final Report. August 2019, Harare: MOHCC.

  2. 2.

    Asfaw HM, Gashe FE. Fertility intentions among HIV positive women aged 18–49 years in Addis Ababa Ethiopia: a cross sectional study. Reprod Health. 2014;11(36). https://doi.org/10.1186/1742-4755-11-36.

  3. 3.

    Krashin JW, Haddad LB, Tweya H, et al. Factors associated with desired fertility among HIV-positive women and men attending two urban clinics in Lilongwe, Malawi. PLoS One. 2018;13(6):e0198798. https://doi.org/10.1371/journal.pone.0198798.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  4. 4.

    Schwartz SR, Mehta SH, Taha TE, Rees HV, Venter F, Black V. High pregnancy intentions and missed opportunities for patient-provider communication about fertility in a south African cohort of HIV-positive women on antiretroviral therapy. AIDS Behav. 2012;16(1):69–78.

    Article  Google Scholar 

  5. 5.

    Tweya H, Feldacker C, Breeze E, et al. Incidence of pregnancy among women accessing antiretroviral therapy in urban Malawi: A retrospective cohort study. AIDS Behav. 2013;17:471. doi.org/https://doi.org/10.1007/s10461-012-0150-0.

  6. 6.

    Matthews LT, Beyeza-Kashesya J, Cooke I, Davies N, Heffron R, Kaida A, et al. Consensus statement: supporting safer conception and pregnancy for men and women living with and affected by HIV. AIDS Behav. 2018;22(6):1713–24.

    Article  Google Scholar 

  7. 7.

    Brown JM, Njoroge B, Akama E, Breitnauer B, Leddy A, Darbes L, et al. A novel safer conception counseling toolkit for the prevention of HIV: a mixed methods evaluation in Kisumu, Kenya. AIDS Educ Prev. 2016;28:524–38.

    Article  Google Scholar 

  8. 8.

    Updated recommendations on first-line and second-line antiretroviral regimens and post-exposure prophylaxis and recommendations on early infant diagnosis of HIV: interim guidelines. Supplement to the 2016 consolidated guidelines on the use of antiretroviral drugs for treating and preventing HIV infection. Geneva: World Health Organization; 2018.

    Google Scholar 

  9. 9.

    World Health Organization. Consolidated guidelines on the use of antiretroviral drugs for treating and preventing HIV infection. In: Recommendations for a public health approach. Second ed. Geneva: World Health Organization; 2016.

    Google Scholar 

  10. 10.

    World Health Organization. Guideline on when to start antiretroviral therapy and on pre-exposure prophylaxis for HIV. Geneva: World Health Organization; 2015.

  11. 11.

    Zimbabwe Ministry of Health and Child Care. PrEP Guidelines. Harare: MOHCC; 2016.

    Google Scholar 

  12. 12.

    Zimbabwe Ministry of Health and Child Care. Guidelines for Antiretroviral Therapy for the Prevention and Treatment of HIV in Zimbabwe. Harare: MOHCC; 2016.

    Google Scholar 

  13. 13.

    Drummond M. Methods for the economic evaluation of health care programmes. 2nd ed. Oxford. New York: Oxford University Press; 1997.

    Google Scholar 

  14. 14.

    Marseille E, Giganti MJ, Mwango A, et al. Taking ART to scale: determinants of the cost and cost-effectiveness of antiretroviral therapy in 45 clinical sites in Zambia. PLoS One. 2012;7:e51993.

    CAS  Article  Google Scholar 

  15. 15.

    Webb K, Maclean R, Engelsmann B, et al. Optimizing Zimbabwe’s National PMTCT Program: Cost-effectiveness of a planned village health worker (VHW)-based intervention to improve linkage to postnatal care. Vancouver: Poster presented at: 8th International AIDS Society Conference on HIV Pathogenesis, Treatment, and Prevention; 2015.

  16. 16.

    Vernazza PL, Graf I, Sonnenberg-Schwan U, Geit M, Meurer A. Preexposure prophylaxis and timed intercourse for HIV-discordant couples willing to conceive a child. AIDS. 2011;25(16):2005–8.

    Article  Google Scholar 

  17. 17.

    Joffe M. Time to pregnancy: a measure of reproductive function in either sex. Asclepios project. Occup Environ Med. 1997;54(5):289–95.

    CAS  Article  Google Scholar 

  18. 18.

    Health Transition Fund A Multi-donor Pooled Transition Fund for Health in Zimbabwe. 2011. https://www.unicef.org/zimbabwe/ZIM_resources_htfoutline.pdf. Accessed March 23, 2017.

  19. 19.

    Jain V, Chang W, Byonanebye DM, et al. Estimated costs for delivery of HIV antiretroviral therapy to individuals with CD4+ T-cell counts >350 cells/uL in rural Uganda. PLoS One. 2015;10(12):e0143433. https://doi.org/10.1371/journal.pone.0143433.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  20. 20.

    Clinton Health Access Initiative. ARV market report: the state of the antiretroviral drug market in low- and middle-income countries. 2016. http://www.clintonhealthaccess.org/content/uploads/2016/10/CHAI-ARV-Market-Report-2016-.pdf. Accessed June 19, 2017.

  21. 21.

    2016 ANTIRETROVIRAL (ARV) CHAI REFERENCE PRICE LIST. ARV Ref Price List 2016. http://www.clintonhealthaccess.org/content/uploads/2016/11/2016-CHAI-ARV-Reference-Price-List_FINAL.pdf. Accessed June 19, 2017.

  22. 22.

    Clinton Health Access Initiative. CHAI supports South Africa and global partners to achieve landmark HIV viral load access program. Case Study; 2015. https://diagnostics.roche.com/content/dam/diagnostics/Blueprint/en/pdf/rmd/Case-Study_Viral-Load-Access_CHAIPublication.pdf. Accessed 19 June 2017.

  23. 23.

    Roche Molecular Systems. Global Access Initiative Country List. July 2015. https://molecular.roche.com/app/uploads/2016/07/GAP_Country_List_15July2015_v2.pdf. Accessed June 19, 2017.

  24. 24.

    Kahn JG, Harris B, Mermin J, et al. Cost of community integrated prevention campaign for malaria, HIV, and diarrhea in rural Kenya. BMC Health Serv Res. 2011;11:346.

    Article  Google Scholar 

  25. 25.

    Mack N, Evens EM, Tolley EE, et al. The importance of choice in the rollout of ARV-based prevention to user groups in Kenya and South Africa: a qualitative study. J Int AIDS Soc. 2014;17:19157.

    Article  Google Scholar 

  26. 26.

    Gray A, Smit J, Manzini N, Beksinska M. Systematic review of contraceptive medicines. “Does choice make a difference?” University of Witwatersrand, Johannesberg. 2006.

  27. 27.

    Donnell D, Baeten JM, Bumpus NN, et al. HIV protective efficacy and correlates of tenofovir blood concentrations in a clinical trial of PrEP for HIV prevention. J Acquir Immune Defic Syndr. 2014;66(3):340–8. https://doi.org/10.1097/QAI.0000000000000172.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  28. 28.

    Anglemyer A, Rutherford GW, Horvath T, Baggaley RC, Egger M, Siegfried N. Antiretroviral therapy for prevention of HIV transmission in HIV-discordant couples. Cochrane Database Syst Rev. 2013;4(4):CD009153. Published 2013 Apr 30. https://doi.org/10.1002/14651858.CD009153.pub3.

    Article  PubMed Central  Google Scholar 

  29. 29.

    Cohen MS, Chen YQ, McCauley M, et al. Prevention of HIV-1 infection with early antiretroviral therapy. N Engl J Med. 2011;365(6):493–505. https://doi.org/10.1056/NEJMoa1105243.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  30. 30.

    Rutstein SE, Ananworanich J, Fidler S, et al. Clinical and public health implications of acute and early HIV detection and treatment: a scoping review. J Int AIDS Soc. 2017;20(1):21579. https://doi.org/10.7448/IAS.20.1.21579.

    Article  PubMed  PubMed Central  Google Scholar 

  31. 31.

    Price JT, Wheeler SB, Stranix-Chibanda L, et al. Cost-effectiveness of pre-exposure HIV prophylaxis during pregnancy and breastfeeding in sub-Saharan Africa. J Acquir Immune Defic Syndr. 2016;72:S145–53.

    Article  Google Scholar 

  32. 32.

    Cremin I, Hallett TB. Estimating the range of potential epidemiological impact of preexposure prophylaxis: run-away success or run-away failure? AIDS. 2015;29(6): 733–738. https://doi.org/https://doi.org/10.1097/qad.0000000000000591.

  33. 33.

    Walensky RP, Jacobsen MM, Bekker L-G, et al. Potential clinical and economic value of long-acting Preexposure prophylaxis for south African women at high-risk for HIV infection. J Infect Dis. 2016;213:1523–31.

    Article  Google Scholar 

  34. 34.

    Huyser C, Boyd L. ART in South Africa: the price to pay. Facts Views Vis Obgyn. 2013;5(2):91–9.

    CAS  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

We would like to thank the Zengeza 3 Clinic Team in Chitungwiza, Norma Mugwagwa, Charles Chasakara, Jared Kitagawa, Orgah Gundani, Wilfred Gurupira, Godfrey Jokoniya, the JF Kapnek Trust, Karen Webb, Elliot Marseille, Madhavi Dandu, and Alden Blair. We would also like to thank clinicians and laboratory staff in Chitungwiza and Harare who participated in the time & motion study and the couples (and their families) who participated in the SAFER Study.

Funding

The SAFER Study was funded by an NIH mentored research grant (K01MH100994; PI Brown). The UCSF Global Health Master’s Program provided support for CSH’s international travel costs and methods-specific software. Housing and local transportation costs for CSH’s time spent collecting cost data in Zimbabwe were funded by the Drollinger Family Charitable Foundation. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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Authors

Contributions

JB and JGK conceived of the study. JB, JGK, and CSH developed the costing protocol and costing data collection forms, with inputs from TC, FM, BM, CM. CSH, CM, TC, GC, FM, BM, TM, and AM made significant contributions to data collection. CSH, CM, TC, JB, and JGK developed methodology and performed data analysis, with significant contributions from FM, BM, SG, NM, and ZC. CSH wrote the first draft of the manuscript, with significant support and editing from JB and JGK. JB, CM, TC, GC, FM, BM, SG, TM, AM, NM, ZC, and JGK have read and approved the manuscript.

Corresponding author

Correspondence to Carolyn Smith Hughes.

Ethics declarations

Ethics approval and consent to participate

The SAFER Study was approved by the Medical Research Council of Zimbabwe and University of California, San Francisco ethical review boards. Written informed consent was obtained from all study participants.

Consent for publication

Not applicable.

Competing interests

There are no competing interests to report.

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Hughes, C.S., Brown, J., Murombedzi, C. et al. Estimated costs for the delivery of safer conception strategies for HIV-discordant couples in Zimbabwe: a cost analysis. BMC Health Serv Res 20, 940 (2020). https://doi.org/10.1186/s12913-020-05784-4

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Keywords

  • HIV
  • Conception
  • Cost
  • ART
  • PrEP
  • Semen-washing
  • Discordant