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Review
. 2025 Jul 10;6(3):e240072.
doi: 10.1530/RAF-24-0072. Print 2025 Jul 1.

FERTILITY CARE IN LOW- AND MIDDLE-INCOME COUNTRIES: Public sector access to medically assisted reproduction in South Africa: a case study

Affiliations
Review

FERTILITY CARE IN LOW- AND MIDDLE-INCOME COUNTRIES: Public sector access to medically assisted reproduction in South Africa: a case study

Gerhardus Marthinus Boshoff et al. Reprod Fertil. .

Abstract

Abstract: In South Africa, approximately 10% of the calculated need for medically assisted reproduction is being met due to limited access and unequal availability of these services. To facilitate understanding of challenges associated with access to assisted reproduction, a retrospective case study spanning 6 years was performed at one public sector hospital in South Africa offering these services. Demographic profiles, including income, region of residency and access to medical insurance, of patients seeking assistance to become pregnant were investigated. Patients were categorised as those who underwent diagnostic investigations only vs those who returned for therapeutic procedures, and the difference in demographic profiles between the two groups was determined. This investigation showed that patients from the lower-income classification group, without medical insurance, tend to return for therapeutic procedures less often than those with a higher income and medical insurance, even though these low-income patients qualify for a therapeutic procedure subsidy. An inverse relationship existed where patient numbers decreased as their travel distance increased, but patients who were required to travel further for assisted reproductive therapy tended to return for these procedures more often than patients who resided closer to the medical facility. In conclusion, access to medically assisted reproduction facilities is critically undersupplied and limited in the region. In order to ease the travel distance of patients, alternative primary diagnostic routes with accessible clinics are needed. In addition, costs of therapeutic procedures in the public sector should be re-evaluated to be offered at affordable rates for marginalised patients.

Lay summary: In South Africa, about 10% of patients who need assistance to become pregnant are being helped. To better understand this phenomenon, researchers considered information about patients from a public sector hospital in South Africa. This includes how much money the patients earned, how far they travelled to the hospital and whether they had medical insurance. The patients were grouped into those who requested initial investigations but never returned for treatments, and those who returned for medical treatment. The differences between these groups were then evaluated. The research showed that people with less money tend to abandon further treatment more often, or take longer to return, than those with more money. The conclusion drawn is that assisted reproductive therapy is too expensive and that more IVF clinics are needed, using cheaper and simpler procedures of the same quality.

Keywords: LMIC; MAR; access; assisted reproduction; developing countries; patient demographics; treatment progression.

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Conflict of interest statement

The following interests are relevant: the data presented are part of a larger study performed during the principal author’s PhD research. All the authors are associated with the Walking Egg non-profit organisation. W Ombelet is an Associate Editor of Reproduction & Fertility and was not involved in the review or editorial process for this paper, on which he is listed as an author.

Figures

Figure 1
Figure 1
Allocation of patients to the diagnostic and therapeutic groups, based on the return for therapeutic procedures, with an indication of all demographic criteria evaluated.
Figure 2
Figure 2
Radar chart (range 0–600) of patient numbers according to the triage of patients’ income classification (high, middle or low) vs their access to medical insurance.
Figure 3
Figure 3
Venn diagrams of patient numbers showing the overlaps between access to medical insurance and subsidised ART procedures as well as (A) high-, (B) middle- and (C) low-income patients.
Figure 4
Figure 4
Graphical representation indicating a decrease in patient numbers as distance to travel increases, per subcategory diagnostic and therapeutic.
Figure 5
Figure 5
Number of patients in the diagnostic and therapeutic groups with income in €200 brackets. Patients below the population average indicated in a red block.
Figure 6
Figure 6
Therapeutic patients’ time to procedure according to four quartiles, per income group.

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