Article Text

Insurance coverage policies for infertility services in health insurance: a systematic review of global practices and disparities
  1. Seyed Ahmad Ahmadi,
  2. Sajad Moeini,
  3. Ensieh Ketabchi,
  4. Mohammad Veysi Sheikhrobat and
  5. Monireh Shamsaei
  1. Department of Health Services Management, School of Health Management & Information Sciences, Iran University of Medical Sciences, Tehran, Iran (the Islamic Republic of)
  1. Correspondence to Dr Sajad Moeini, Department of Health Services Management, School of Health Management & Information Sciences, Iran University of Medical Sciences, Iran University of Medical Sciences, Tehran, Iran (the Islamic Republic of); sajadmoeini{at}yahoo.com

Abstract

Background Infertility affects about 10% of the global population, imposing significant economic and psychosocial burdens. This systematic review examines disparities in insurance coverage for infertility services worldwide, assessing how these disparities affect access to care and fertility outcomes.

Methods For this systematic review, scientific databases (PubMed, EMBASE, Web of Science and Scopus) were searched from the beginning of 1990 to 2022 to identify literature related to insurance coverage for infertility services by health insurance organisations worldwide. Two researchers screened titles and abstracts, extracted data from full-text articles and assessed their quality using the Joanna Briggs Institute Critical Appraisal Tool.

Results 11 studies, primarily from high-income countries, met the inclusion criteria. Findings show a substantial increase in access to infertility services in countries with comprehensive insurance policies, such as the USA, where Medicaid coverage led to a 27% increase in first births among women over 35 years. Disparities in coverage, particularly in advanced treatments such as assisted reproductive technology and in vitro fertilisation (IVF), were notable, with limited coverage in countries such as Japan. Low-income countries generally lack sufficient insurance policies, exacerbating access disparities.

Conclusion Insurance coverage policies for infertility services are associated with improved fertility outcomes, especially through increased access to infertility services. However, coverage disparities remain, emphasising the need for comprehensive policies to reduce economic barriers and support equitable access across regions.

  • Infertility
  • Reproductive Health
  • Family Planning Services

Data availability statement

Data will be provided on request.

http://creativecommons.org/licenses/by-nc/4.0/

This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See http://creativecommons.org/licenses/by-nc/4.0/.

Statistics from Altmetric.com

Request Permissions

If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.

Introduction

Infertility affects a significant portion of the global population, with prevalence rates ranging from 10% to 15% in developed countries and up to 30% in some areas of Africa and South Asia.1 The burden of infertility is not only a personal issue but also a public health concern with social, emotional and economic consequences. While infertility treatments have advanced significantly, their accessibility remains limited, particularly in regions without comprehensive health insurance coverage.2 Undoubtedly, the amount of fertility and, in other words, infertility directly affects the growth or decrease of the population. The ageing of the population and its meagre growth in developed areas compared with undeveloped areas with the rapid increase in population growth, such as sub-Saharan Africa, is very worrying.3 According to the statement of the WHO, infertility causes disability in people in such a way that it disrupts normal function and reduces the quality of life. Every person who has a disability has the right to receive healthcare and treatment.4 Preventing and treating infertility causes enormous costs for individuals and centres providing fertility services. A large number of couples, due to the cost of medical services in many countries, have given up on following the treatment process and are not treated.5 In different parts of the world, limited and disproportionate policies related to fertility lead to a lack of access to and coverage of infertility health services. Limited public budgets have been allocated to many properties under development for infertility treatment.6 Some countries have no such budget, and these services have been excluded from the coverage packages. Existence of back-breaking costs is the most critical obstacle for couples to access infertility treatment services.7 The high costs of infertility care and problems of access to these services for couples are factors that can be used to find insurance coverage for the treatment of this disease. The insurance system has been used for many years to divide disease risks, prevent excessive costs and facilitate service access.8 9 Research has shown that infertility insurance coverage is not universal, policies are not transparent and male-factor infertility treatment is excluded. With the high costs of infertility, variable insurance coverage, debt and time limitations, patients and their families are vulnerable. They may have significant financial limitations in treating infertility costs.10 Existing insurance models for infertility vary significantly across countries. In the USA, Medicaid and private insurance provide varying levels of coverage for infertility treatments, though not all states mandate such coverage.11 For example, public health insurance in Japan covers diagnostic tests and essential treatments but not assisted reproductive technology (ART) treatments.12 Medicare covers ART and intrauterine insemination (IUI) in Australia but requires significant copayments.13 Finland reimburses 50% of drug costs under Social Security Health Insurance.14 These differences create disparities in access and affordability, highlighting the need for a comparative analysis. In the study of Dyer and Patel,7 they concluded that significant pressure from catastrophic payments of infertility treatment costs is borne by households.7 Considering the need for insurance coverage of infertility services, this systematic review will focus on insurance coverage policies worldwide and aims to analyse the impact of these diverse insurance policies on access to infertility services and identify disparities across different regions.

Methods

To identify studies on insurance coverage for infertility services provided by health insurance organisations from 1990 to 2023, a comprehensive literature search was conducted across PubMed, Scopus, Web of Science and Google Scholar databases. This review included cohort studies, cross-sectional studies and analytical studies conducted on secondary data that investigated and published policies on insurance coverage for infertility, including services, covered population, financing and access. Non-English language papers will be excluded. This study followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA).15 The search methodology employed the population, intervention, comparison, outcomes and study design (PICOS framework) to detail inclusion and exclusion criteria. In our study, ‘P’ represents the infertility population, ‘I’ represents the policies, programmes and interventions related to insurance coverage of infertility services, ‘C’ represents the traditional approach where there was either no insurance coverage or limited coverage for infertility services, ‘O’ represents outcomes such as eligible population criteria for insurance coverage, infertility service package, financing methods, consequences of infertility service coverage policies (financial and non-financial) and ‘S’ represents study design type. A set of keywords, including ‘infertility’, ‘policy-making’, ‘insurance’, ‘health policy’, ‘financial management’, ‘male infertility’ and ‘female infertility’, was used to devise a search strategy (see online supplemental appendix 1). After removing duplicate entries, two researchers independently screened studies based on titles and abstracts. Then, full texts were reviewed, and any discrepancies were resolved through discussion involving a third researcher. One researcher conducted a data review and analysis, and another cross-checked it. A PRISMA flow diagram was used to document the study selection process.

Supplemental material

Study synthesis and assessment

The quality of the included studies was assessed using the Joanna Briggs Institute (JBI) Critical Appraisal Tool for observational studies.16 The JBI Tool was selected due to its relevance for evaluating the methodological quality of observational studies, which formed the majority of our review. The JBI checklist assesses key aspects of study validity, including bias, study design, sample population, confounding factors and data analysis.

Two independent researchers were evaluated to ensure objectivity in the quality assessment phase. The checklist consists of eight key questions assessing the presence and quality of essential study characteristics. Based on these criteria, studies were rated as excellent,7 8 very good,5 6 good3 4 or poor (0–2) according to their overall methodological quality.

The eight-point JBI Scale was employed for consistency, and studies scoring below ‘good’ (below three points) were excluded from the analysis to ensure only high-quality studies were included. Following JBI guidelines, studies that exhibited low control of confounding factors or unreliable measurement techniques were rated lower.

To ensure the reliability of the evaluation, the agreement rate between the two reviewers was calculated using Cohen’s kappa. The resulting kappa value was 0.87, indicating a substantial agreement between the reviewers.

Results

Characteristics of included studies

A total of 1529 studies were collected for this review research. The first stage involved removing 540 studies due to duplication. In the second stage, 938 studies were excluded based on their title and abstracts. In the third stage, 51 studies were further excluded after a detailed analysis of their contents. Finally, 11 studies were selected for this review research as they met the study’s objectives, which focused on investigating insurance policies in infertility services and their consequences. Figure 1 illustrates the process of searching for studies.

Figure 1

Preferred Reporting Items for Systematic Reviews and Meta-Analyses flowchart for selecting studies.

Most studies (four) were conducted in the USA,17–20 while conducted in South Korea,21 Finland,22 Japan,23 China,24 Taiwan,25 Germany26 and Australia27, respectively. The studies were mainly retrospective and compared before and after the intervention, with analytical studies conducted on secondary data. The studies aimed to discuss making infertility services mandatory in insurance and investigate the consequences such as access, benefit rate, changes in infertility costs, socioeconomic dimensions, equitable allocation of resources and fertility. The studies’ data was collected mainly through the respective countries’ health insurance organisation’s data banks. Some studies also used national fertility census data, household population growth data and marriage and fertility data. Table 1 lists the characteristics of all the studies included in this review research.

Table 1

characteristics of all the studies included in this review research

Quality assessment results

For this systematic review, the quality of the included studies was evaluated using the JBI Critical Appraisal Checklist for Analytical Cross-Sectional Studies.16 This checklist was selected due to its suitability for assessing the methodological rigour of observational studies, which formed the majority of our included studies. Each study was assessed across eight key domains, including the clarity of sample inclusion criteria, validity of measurement methods, identification of confounding factors and appropriateness of statistical analysis. Each article was scored between 1 and 8, with a score of 3–4 or above indicating that the article met the qualitative standards (see online supplemental appendix 2).

Supplemental material

The main findings of the studies

Table 2 presents the main findings of the included studies (see also online supplemental appendix 3). We have categorised the results into four sections.

Supplemental material

Table 2

Main findings of studies

Increased access to infertility services

Studies consistently demonstrate that comprehensive insurance policies enhance access to infertility services, with significant impacts observed in regions where public insurance provides or mandates coverage.

In the USA, studies by Vu et al and Bitler and Schmidt highlight that state-mandated Medicaid coverage and other state policies led to a 27% increase in first births among women over 35 and a marked rise in utilisation of ovulation-stimulating drugs and artificial insemination. These findings underscore the substantial influence of state-level policies on access and treatment utilisation.17 19

Taiwan experienced a 21.55% annual growth rate in ART-related births following policy changes that expanded ART coverage, as reported by Hsu et al, demonstrating that insurance coverage can directly increase treatment cycles and overall service usage.25

In South Korea, Lee et al found that national ART insurance coverage led to higher service utilisation rates, especially among older patients, indicating that national policies can drive broader service uptake when comprehensive insurance options are available.21

Disparities in insurance coverage and access to advanced treatments

Despite improvements in access in some countries, disparities in coverage remain a significant barrier to equitable infertility care. The extent and nature of these disparities often reflect national policies and economic conditions.

Japan and Germany present contrasting coverage models that highlight these disparities. Iba et al notes that Japan’s public insurance provides only basic treatments, omitting advanced infertility services such as in vitro fertilisation (IVF), which leaves higher-income individuals with better access due to their ability to pay out of pocket.23 In Germany, a shift from full to partial coverage (50% cost sharing) for ART in 2003 led to a 55% decrease in treatment usage and a 51% decline in ART births, as reported by Dietrich et al.26 This illustrates how policy changes can exacerbate financial barriers, especially for low-income groups.26

Australia experienced similar effects such as increased out-of pocket costs, implemented through Medicare copayments and restricted access to ART, impacting lower-income patients most significantly. Chambers et al27 emphasise the financial burden of these costs, noting that they created substantial barriers to access.

China, according to Wang et al, has limited insurance coverage, which partially supports ART costs but still relies on selective subsidies and commercial insurance to meet the needs of those requiring advanced care. This mixed model contributes to varied access levels, with advanced services more readily accessible to higher-income groups.24

Financial support mechanisms

The studies also reveal that the scope and design of financial support mechanisms—such as cost sharing, reimbursement and selective subsidies—play crucial roles in determining accessibility and affordability.

Finland has a partial coverage model where health insurance reimburses 50% of IVF-related drug costs, as found by Klemetti et al. While this alleviates some cost burden, the lack of full coverage still limits access for lower-income patients.22

In South Korea, national insurance covers comprehensive ART services, including inpatient and outpatient care, tests and fertility drugs, although older patients face higher out-of-pocket expenses due to more intensive intervention needs, per Lee et al.21

China’s insurance model, as Wang et al discusse, incorporates selective subsidies and emerging commercial insurance options to manage infertility treatment costs. While beneficial, this model underscores the need for a more standardised approach to ensure equitable access across socioeconomic groups.24

Impact on fertility outcomes

The findings further suggest that insurance coverage can influence fertility outcomes by affecting both the timing and frequency of infertility treatments.

Vu et al and Schmidt highlight that Medicaid and state-mandated coverage in the USA is linked with higher birth rates among older women, with Schmidt’s study noting a significant increase in first births among women over 35, particularly in specific demographic groups.17 20

Conversely, Machado and Sanz-de-Galdeano found that while insurance coverage in the USA improves birth rates for older women, it inadvertently delays motherhood among younger women, who may defer treatment, resulting in reduced fertility due to the natural age-related decline in fertility.18

In Australia, increased patient copayments for ART coverage, as documented by Chambers et al, correlate with reduced fertility outcomes, as financial barriers limit access to timely infertility treatments, ultimately impacting birth rates.27

Discussion

This systematic review examined the effects of health insurance coverage policies on infertility services. 11 studies, primarily from high-income countries, met the inclusion criteria.

The results of the studies suggest that coverage for infertility services through health insurance can increase access to and benefits from these services. However, as some studies have suggested, whether this coverage significantly improves the overall population or birth rate is still being determined. Of the 11 studies reviewed, six focused on access to services as an outcome,18 19 22–24 two examined the costs of infertility services coverage policies,22 23 two looked at birth rates20 25 and one focused on types of services.21 The studies reviewed four variables regarding the demographic groups covered: age, gender, marital status and education. The age range considered in most studies was between 20 and 49 years old.19 20 22 Four studies focused solely on women, while five examined services for couples with infertility problems.19 23 24 26 27 One study in China focused on single women,24 while another discussed the impact of education on access to services.19

Overall, the results of the studies indicate that insurance policies and the health system should aim to identify couples with infertility problems at a younger age. This is because success rates of infertility treatments decrease with age. For example, Klemetti et al’s study found that older women (40 years or older) received 1.4 times more IVF treatments than younger women (under 30 years old) but had a success rate of only six live births per 100 cycles, compared with 22 live births per 100 cycles among younger women.22 Another important finding was that infertility insurance policies can delay motherhood among relatively young women, which can make conception more difficult as fertility decreases with age.18

Studies have explored the impact of mandatory health insurance on access to infertility services, with a focus on ART and IVF. The findings suggest that coverage of infertility services has led to an increase in access to and receipt of medical services, drugs and costs.21 However, the lack of a single comprehensive policy has resulted in variations in access to services and affordability across different states, with some populations benefiting more than others.19 Access to infertility services has also led to inefficiencies, and coverage of infertility treatments alone may not improve the fertility rate in the long term.18

The cost of infertility services has also increased due to the increase in access to services, mainly the costly services of ART medical assistance technology. Studies have shown that insurance policies for covering the costs of infertility services vary across countries. For instance, in Japan, married women under 50 years of age can receive tests and essential infertility treatment services under public health insurance with a 30% payment.23 Meanwhile, in Australia, Medicare has significantly increased patient copayments for infertility services since 2010, leading to a general reduction in the use of services.27 In Finland, Social Security Health Insurance in both public and private sectors reimburses 50% of drug costs by the Social Security Organization.22 However, due to the high cost of infertility treatment services and the limitations of health system resources, it is only possible to cover some of the costs of infertility diagnosis and treatment. Selective reimbursement and subsidies for people in particular need, as well as the development of some commercial insurance, are available. Still, more comprehensive and constructive policies should be developed at the country level to standardise the market.24

Studies have found that implementing insurance policies covering infertility services can increase the birth rate. A study in the USA showed that Medicaid coverage of infertility services significantly increased the rate of first births among white women aged 35 years and older, with 24 out of every 88 births related to IVF treatment covered by insurance.20 A study in Taiwan reported a gradual increase in the number of births by ART, with an annual growth rate of 21.55%.21 However, another study showed that although infertility insurance coverage increases the birth rate among relatively older women and the prevalence of multiple births, it does not contribute to the long-term increase in fertility.18

Different countries have different health insurance policies for infertility services. For instance, Japan covers most of the diagnostic tests and essential treatments for infertility, but public health insurance does not cover IUI and ART treatments.25 In Australia, all courses of ART and IUI, IVF cycles and embryo transfers are covered by insurance, but patients must pay more through copayment.23 In South Korea, health insurance covers inpatient and outpatient services in specialised and subspecialised hospitals, clinics, tests and injections, pharmaceutical services, infertility treatment services and surgery, according to the guidelines, rules and instructions of insurance.21 However, most of these studies have been conducted in high-income countries, and there is a need for more studies in low-income and middle-income countries. Moreover, there are differences between healthcare systems in different countries, and the lack of sufficient evidence calls for more studies to determine the effectiveness of mandatory infertility care insurance in increasing the fertility rate and how health system policies can provide infertility services.

This review has limitations, including potential publication bias and the concentration of studies in high-income countries. Additionally, the quality of data reported in primary studies varied, which may affect the generalisability of our findings. Future research should focus on low-income and middle-income countries to better understand global disparities in access to infertility services.

Conclusion

Infertility imposes profound emotional and financial strains, with access to care remaining inequitable across regions. Our review reveals that comprehensive insurance policies for infertility services significantly impact fertility outcomes by increasing access to necessary treatments. However, disparities persist, particularly in access to advanced therapies, underscoring the need for more inclusive policies. Policymakers should recognise the critical role of insurance coverage in addressing both urgent healthcare access requirements and longer-term fertility outcomes, supporting equitable care that transcends socioeconomic and regional barriers.

Data availability statement

Data will be provided on request.

Ethics statements

Patient consent for publication

Ethics approval

This study has been approved by the National Committee of Ethics in Biomedical Research (IR.IUMS.REC.1402.514).

References

Supplementary materials

Footnotes

  • Contributors SM is the guarantor authorship and accepts full responsibility for the finished work and/or the conduct of the study, had access to the data and controlled the decision to publish. SAA and SM were responsible for conception and design. MVS and EK were responsible for administrative support. SM, EK and MS were responsible for the provision of study materials. SM and MVS were responsible for data analysis and interpretation. SM and SAA were accountable for manuscript writing. All authors contributed to drafting and revising the paper and approved the final version, and they thus will be held responsible for all aspects of the work.

  • Funding This work was supported by the Health Management and Economics Research Center, Iran University of Medical Sciences.

  • Competing interests None declared.

  • Patient and public involvement Patients and/or the public were not involved in the design, or conduct, or reporting, or dissemination plans of this research.

  • Provenance and peer review Not commissioned; externally peer reviewed.

  • Supplemental material This content has been supplied by the author(s). It has not been vetted by BMJ Publishing Group Limited (BMJ) and may not have been peer-reviewed. Any opinions or recommendations discussed are solely those of the author(s) and are not endorsed by BMJ. BMJ disclaims all liability and responsibility arising from any reliance placed on the content. Where the content includes any translated material, BMJ does not warrant the accuracy and reliability of the translations (including but not limited to local regulations, clinical guidelines, terminology, drug names and drug dosages), and is not responsible for any error and/or omissions arising from translation and adaptation or otherwise.