Intro
Infertility affects approximately 10% to 20% of couples in Europe, 1 impacting on their quality of life, relationships, sexual satisfaction and psychosocial well-being. 2 , 3 Individuals requesting fertility treatment often spend months or years trying to conceive a child before attending a fertility clinic. 4 This, added to the long duration of the treatment, has been associated with an increased risk of psychological distress. 5 , 6
Assisted reproductive techniques (ART) involve several medical procedures aiming to achieve pregnancy, which have become standard medical practice. The number of ART treatments is still rising, and an estimated five million babies have been born with the help of assisted reproduction in the past four decades. 7 , 8 These techniques have not only been a breakthrough in the treatment of infertility, but are of enormous relevance for the fertility preservation in women undergoing cancer treatment. 9
Like other elective procedures, such as scheduled orthopedic 10 or cataract surgeries, 11 ART procedures have been affected by the global coronavirus pandemic. 12 , 13 The COVID-19 pandemic caused major disruption of routine hospital services globally. In a matter of days, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) rapidly spread around the world, leading to the first pandemic of the 21st century. 14 Backlogs and delays in non-emergency health care caused by the COVID-19 strained health systems and left millions of people without care in many countries. 15 Pre-pandemic, at the end of 2019, there were 700 thousand patients on the surgical waiting list in Spain, 20% of whom had been waiting more than 6 months for an operation. 16 However, the Spanish healthcare system guarantees relatively fast access times for some elective procedures. Among the most frequently requested procedures in 2019 are cataract treatment, with an average waiting list time of approximately 70 days, or the treatment of varicose veins or knee prostheses, with an average waiting list time of around 110 days. 17 Regarding the waiting list for ART, time varied considerably between Spanish regions, ranging between 6 and 24 months in some cases. 18 In addition, the waiting time in this country for ART treatment is not supervised and controlled like other surgical waiting lists within hospital management agreements; in fact, to date, ART treatments are excluded from national framework criteria establishing a maximum access time. 19 This was not just a national scenario as it was similar across European countries, 20 with important access inequities and vastly different inter- and intra-country waiting times for ART. 21 From a clinical perspective, longer waiting lists have a negative impact on the success of ART treatments. 22
During the first quarter of 2020, the American Society for Reproductive Medicine (ARSM) 23 and the European Society of Human Reproduction and Embryology (ESHRE) 24 provided recommendations advising a precautionary approach to the postponement of all ART procedures. In Spain, the Spanish Fertility Society (SEF) and the Association for the Study of Reproductive Biology (ASEBIR) recommend a series of protective measures for Assisted Reproduction Units (ARU). 25 Consequently, as of the 1st of April 2020, ART treatments were partially or totally ceased across European Assisted Reproduction Units (ARUs), causing disruption and delay to the fertility treatment received by thousands of patients. 26
Despite these recommendations and the enforced restrictions, there was a lack of advice for clinics in two main areas: increasing psychological support and how to prioritize patients. 27 Several studies have shown negative consequences on patients’ emotional state (stress, worry, and frustration) and quality of life due to treatment disruption or delay, 28–30 and delays in ART procedures are perceived as a threat to attaining the goal of parenthood. 28–33 In addition, approximately 30–50% of patients who are seeking ART have a low prognosis. In these cases, the “time” variable is crucial for success in ART, where they tend to lose their fertility potential rapidly. For this, a proposal for individualized treatment based on patient prognosis is necessary, as suggested by other authors. 34 , 35 Despite this, no guidelines were established to prioritize and provide continuity of fertility care for those patients who required it.
Therefore, health policymakers should identify strategies to mitigate cancellations during pandemic periods and develop recovery plans to restore surgical activity safely and efficiently. Consequently, when designing strategies for reproductive medicine, it is essential to consider the perspective of both healthcare professionals and patients, understanding the importance they attribute to ART procedures among other elective procedures as well as the impact that such restrictions have on society.
Best and worst scaling (BWS) is an increasingly recognized method for quantitatively assessing how individuals prioritize different choices. 36 , 37 BWS can be used to determine preferences for a wide range of healthcare issues, by asking the respondent to choose both the most and the least attractive options from a set of choices. 38
The main aim of this study was to determine the perspective of patients and professionals in ARUs on the importance of ART compared to other elective procedure. To do so, BWS methodology was used to compare the different priorities of each group. In addition, as a secondary objective, we aimed to appraise the opinion of patients and professionals on the impact of the pandemic on ART management.
Results
The demographic characteristics of the study population are reported in Table 2 . A total of 98 patients and 83 professionals completed the online survey. The mean age of patients was 37.4 years (SD: 4.4), the majority were married or had a partner (87.8%), were childless (70.4%) and had previously received fertility treatment (83.7%). Most of the professionals surveyed were women (72.3%) with a mean age of 48.1 years (SD: 9.4) and a mean of 15.5 years (SD: 8.4) experience in ARU, the majority worked in public and private health sectors. Table 2 Description of Demographic Characteristics of the Study Population Patients’ Characteristics Age (mean, SD) (years) 37.4 4.4 Women (%, n) 98.0% 96 Married or with a partner (%, n) 87.8% 86 Number of children (%, n) Without children 70.4% 69 One child or more 29.6% 29 Previously received fertility treatment/ovarian preservation treatment (%, n) 83.7% 82 Currently receiving fertility treatment / ovarian preservation (%, n) 52.0% 51 Currently on the waiting list for fertility/ovarian preservation treatment (%, n) 22.4% 22 In the future, planning receives fertility/ovarian preservation treatment (%, n) 78.6% 77 Professionals’ characteristics Age (mean, SD) (years) 48.1 9.4 Women (%, n) 72.3% 60 Specialty (%, n) Biology 18.1% 15 Gynecology 81.9% 68 Experience in ARUs (mean, SD) (years) 15.5 8.4 Sector: private and public health (%, n) 65.1% 54 75% on public health 31.5% 17 Sector: public health (%, n) 34.9% 29 Abbreviations : SD, deviation standard; n, number.
Description of Demographic Characteristics of the Study Population
Abbreviations : SD, deviation standard; n, number.
According to the BWS methodology, BWS scores of patient profiles were ordered from most to least important for prioritizing procedures. Figure 1 presents the results of the prioritization of procedures provided by patients and professionals. Patients gave greater importance to prioritizing patients on the waiting list for ART and in second place to cataract surgery. In contrast, professionals gave greater importance to cataract surgery and in second place to knee arthroplasty. Significant differences between groups were observed in the prioritization of cataract surgery and ART profiles as shown in Figure 1 .
Figure 1 Comparison between patients and professionals regarding prioritization results (most to least important) by type of surgical interventions (Score toward +1 indicated as highest priority and when score towards −1 indicated as lowest priority on waiting list).
Comparison between patients and professionals regarding prioritization results (most to least important) by type of surgical interventions (Score toward +1 indicated as highest priority and when score towards −1 indicated as lowest priority on waiting list).
Concerning the severity of the profiles, more severe profiles were prioritized in both groups (CS1, KP1, VS1, and ART1) ( Figure 2 ). When analyzing the most severe profiles, patients gave more importance to procedures, such as ART and varicose vein surgery, whereas professionals to cataract and varicose vein surgery. However, professionals prioritize ART profiles as less severe profiles (profiles 2 and 3). Significant differences were also observed in prioritizing the most severe profile of cataract and ART (CS1 and ART1), and the medium profile of ART (ART2) ( Figure 2 ).
Figure 2 Comparison between patients and professionals regarding prioritization results (most to least important) by type of surgical interventions and by severity degrees (Score toward +1 indicated as highest priority and when score towards −1 indicated as lowest priority on waiting list).
Comparison between patients and professionals regarding prioritization results (most to least important) by type of surgical interventions and by severity degrees (Score toward +1 indicated as highest priority and when score towards −1 indicated as lowest priority on waiting list).
Patients and professionals similarly assessed the impact of the pandemic on ART management as shown in Figure 3 . A significant difference (p<0.001) between both groups was observed when they were asked about the information received during the pandemic regarding the expected periods for the resumption of ARU services: 61.2% of the patients vs 49.4% of the professionals disagreed or strongly disagreed with it. In addition, regarding the reduction in parenting options for couples undergoing fertility treatments during the pandemic, the response was: 10.2% of patients vs 15.6% of the professionals (p<0.001) disagreed or strongly disagreed with it. And only 2% of professionals disagreed or strongly disagreed with ARU should continue providing healthcare services in this situation, while 8.4% of patients considered this.
Figure 3 Answers to ad-hoc questionnaire by patients and professionals in arus on the impact of the pandemic on art service management (*p-value<0.05).
Answers to ad-hoc questionnaire by patients and professionals in arus on the impact of the pandemic on art service management (*p-value<0.05).
Regarding the impact of the pandemic on infertility patients at a personal level, patients confirmed the negative effect of the pandemic on their lives, affecting their ability to conceive a child (70.4%), psychological well-being (75.5%), and partner, social and work relationships (69.4%). Around 40.8% of those surveyed required psychological support from a professional ( Figure S1 ).
Materials
An observational, descriptive, cross-sectional study was conducted based on an ad-hoc questionnaire, including a BWS experiment, and questions related to the impact of the pandemic on ART management. The data were collected through an online survey from May to October 2021.
The study population included infertility patients and their partners, on the one hand, and ARU healthcare professionals (gynecologists or biologists), on the other. Patients were invited to participate in the survey through national or local patient advocacy groups related to fertility problems, whereas healthcare professionals were invited by SEF, which disseminated the study to its members through its website and by e-mail.
The study included patients aged 18 years or older, who had received or were disposed to receiving fertility or ovarian reserve treatments or their partners, and gynecologists or biologists working at ARUs within the Spanish public healthcare sector at the moment of survey. All participants gave their consent to participate.
We considered Orme’s approach for discrete choice experiments 39 to determine sample size because there is no general basis for determining sufficient sample size for BWS studies. 40 In according to Orme’s approach, the minimum size was based on the population proportion estimation. Sample size for both groups of participants was estimated considering the number of Spanish patients receiving fertility treatments and the number of public centers with ARUs and/or in vitro fertilization units. 41 We assumed a minimum of three physicians and two biologists practicing in each ARU in Spain. A minimum sample of 96 patients and 77 professionals was required assuming the criterion of maximum variability with a 95% confidence interval and 10% margin of error. 34 , 42 A scientific committee (SC) comprising two experts: CLT (gynecologist) and ICS (biologist), both authors, was involved in the study design.
This study was conducted according to the principles of the Declaration of Helsinki. It was developed to ensure consistency with the principles of the ICH Harmonized Tripartite Guideline for Good Clinical Practice. The study protocol and informed consent were approved by the Drug Research Ethics Committee (CEIm) of the Hospital Puerta de Hierro de Majadahonda (Madrid).
The ad-hoc questionnaire comprised three sections: (1) participants’ characteristics (patients’ age, gender, marital status, number of children, and infertility history; and professionals’ age, gender, and career-related questions); (2) the BWS experiment; and (3) questions to assess their level of agreement on the impact of the pandemic on ART management in Spain, and four additional questions (yes/no/do not know), to be answered only by the patients, in order to appraise the impact of the pandemic on infertility patients at a personal level ( Table S–I [A and B] ).
We applied BWS methodology to establish priorities. 38 We used the BWS profile case method, in which the respondent is asked to choose the best (most attractive) profile, as well as the worst (least attractive) one, in each scenarios. 37
In our study, participants were asked to indicated, from their perspective, which patient profile should be rated as the highest priority profile (best) and the lowest priority profile (worst) on the waiting list.
We first reviewed the literature to identify the most common elective procedures and their priority criteria according to published legislation. 43 , 44 Then, four common elective procedures were selected for the experiment based on the opinion of the SC, including assisted reproduction (ART), cataract surgery (CS), knee arthroplasty (KP), and varicose vein surgery (VS).
We designed three hypothetical profiles of patients corresponding to three different degrees of severity (degree 1 > degree 2 > degree 3) on a waiting list for each elective procedure (a total of 12 patient profiles) ( Table 1B ). Each profile resulted from the combination of a series of predefined attributes related to the priority criteria for the elective procedure and the degree of severity ( Table 1A and B ). Subsequently, a scientific committee reviewed the resulting hypothetical profiles. Table 1 Description of the Hypothetical Profile of Patients on a Waiting List for Elective Procedures with Three Possible Degrees of Functional Severity (1-A Shows the Definition of Each Profile for Each Procedure and 1-b Shows a Summary of Defined Procedures, Profiles and Degrees) (A) (1)Intervention: Knee arthroplasty (KA) KA1 :Male, 60 years old, farmer. He presents intense pain in his right knee that impedes walking, worsens with exertion and requires continuous analgesic treatment for 2 years. KA2 : Male, 70 years old, retired. He presents chronic moderate pain, which sometimes impedes walking and requires sporadic analgesics. KA3 : Male, 62 years old, civil servant. He presents mild knee pain that worsens with moderate exertion. He has not been incapacitated for daily and/or work activities. (2)Intervention: Cataract surgery (CS) CS1 : Woman, 70 years old, lives with her husband, who partially depends on her. She has severe vision loss with marked worsening in the last year. She is expected to have a moderate total visual recovery after surgery. CS2 : Male, 65 years old, lives with his wife. He has moderate vision loss and needs help to walk (cane, walker) to avoid falls. Moderate visual recovery is expected after surgery. CS3 : Woman, 79 years old, lives in a nursing home. She has mild vision loss, but it does not impede her daily activities. A high visual recovery is expected after surgery. (3)Intervention: Varicose vein surgery (VS) VS1 : Male, 60 years old. Supermarket cashier. High degree of impairment of quality of life: he presents intense pain and frequent swelling in left leg in addition to painful lameness with some frequency. He requires compression stockings. He has large varicose veins and suffered an episode of thrombosis that required intervention. VS2 : Male, 60 years old. Car salesman. Moderate degree of impairment of quality of life: pain and swelling. Requires compression socks. Normal varicose veins, without complications. VS3 : Male, 55 years old. Bank worker. With low degree of impairment of quality of life: he usually has tingling sensation and cramps in his legs, as well as sporadic swelling that improves with elevation of the limbs. Normal varicose veins, without complications. He plays sports without limitations. (4)Intervention: Assisted reproductive treatment (ART) ART1 : Woman, 39 years old, on waiting list for 12 months for Assisted Reproduction treatment. With a history of endometriosis. She has low ovarian reserve* ART2 : Female, 36 years old, on waiting list for 12 months for Assisted Reproduction treatment. With a history of mild endometriosis. She has the expected ovarian reserve* for her age ART3 : Female, 32 years old, on waiting list for 12 months for Assisted Reproduction treatment. No previous gynecological disease. She has normal ovarian reserve*. (B) Intervention Profile 3 Profile 2 Profile 1 Assisted reproductive treatment ART3 ART2 ART1 Knee Arthroplasty KA3 KA2 KA1 Cataract surgery CS3 CS2 CS1 Varicose vein surgery VS3 VS2 VS1 Notes : *Ovarian reserve refers to the reproductive potential left within a woman’s two ovaries based on number and quality of eggs. *Degrees of functional severity more (1), medium (2), and less (3) affectation.
Description of the Hypothetical Profile of Patients on a Waiting List for Elective Procedures with Three Possible Degrees of Functional Severity (1-A Shows the Definition of Each Profile for Each Procedure and 1-b Shows a Summary of Defined Procedures, Profiles and Degrees)
Notes : *Ovarian reserve refers to the reproductive potential left within a woman’s two ovaries based on number and quality of eggs. *Degrees of functional severity more (1), medium (2), and less (3) affectation.
A pilot test was conducted to verify participants’ comprehension of the designed profiles and confirm that they were clearly formulated and that the difference in severity between profiles was unambiguous. A total of 25 individuals from the general population participated in the pilot test.
When at least 10% of the participants disagreed with the previously established order of severity for each procedure, the profile was considered ambigous and therefore, the wording was modified to clarify the meaning.
The last step consisted of an orthogonal full-factorial design to generate the scenarios. This design was constructed through a specific algorithm to ensure the orthogonality and balance, and minimize the dominance. 45 As a result, a total of nine scenarios (with four profiles each one) were generated; however, to reduce the burden on participants, they were divided into three blocks by using a blocked design ( Table S-IA ). Respondents were randomly assigned to a block and answered the choice questions in that block (three scenarios). Blocking promotes response efficiency by reducing the cognitive effort required by each respondent. 46
Data were analyzed using the STATA v.14 software. A value of p <0.05 was considered significant for all statistical tests. For the descriptive analysis of the qualitative variables, the relative and absolute frequencies were calculated, and for the quantitative variables central tendency and dispersion measures were used for each group of participants.
We analyzed BWS responses of each participants to establish a ranking from most to least important in the prioritization of each scenarios. The BWS scores were on a scale from −1 (worst profile) to +1 (best profile). In each participant, the BWS score for each scenarios was calculated as the difference between the frequency of being chosen as worst vs best divided by the number of times it appeared across the presented scenarios. Finally, the mean of BWS scores in each group of participants was shown. In our design, score toward +1 indicated as highest priority and when score towards −1 indicated as lowest priority on waiting list.
Based on normality (Shapiro–Wilk test), Student’s t -test or Kruskal–Wallis tests were used to compare the differences of BWS scores between both groups. Finally, questions regarding the pandemic’s impact were measured using a 6-points Likert scale (strongly agree; agree; undecided, disagree; strongly disagree; no answer) or nominal scale. Chi-squared test was used to determine the different answers (categorical variables) between participants.
Conclusion
Infertility patients and professionals from ARUs differ in the priority they give to assisted reproduction over other elective procedures. Preference studies can provide important information to support decisions made by healthcare decision-makers on waiting-list management.
This study further shows that delays and cancellations in ART interventions in specific periods, such as the COVID-19 pandemic, not only compromises treatment success, it could also negatively impact on patients’ psychological well-being and quality of life. Therefore, plans and recommendations must be defined for reestablishing treatments and minimizing the uncertainty experienced by patients in future situations of service cessation.
Discussion
The management of waiting lists for elective surgery is a critical issue for public healthcare systems 47 and COVID-19 has had a substantial influence on waiting times. To our knowledge, this study represents the first analysis of the perspectives of both patients and healthcare professionals on the prioritization of ART compared to other elective procedures within the context of the COVID-19 pandemic.
Our results show differences between patients and healthcare professionals regarding the most prioritized intervention (cataract surgery for physicians and ART for patients). However, both groups have the same opinion in categorizing varicose vein surgery as the lowest priority intervention of those proposed. As expected, individuals with fertility problems, or their partners, who had previously received fertility treatment or were likely to receive it, gave greater importance to ART profiles compared to the other profiles. The inability to have a child may be experienced as a deep personal loss, 13 and the pandemic period has exacerbated uncertainty about the chances of parenthood for many couples. On the other hand, health professionals seem to attach greater importance to vision loss, which has a significant impact on patients and society in terms of morbidity, quality of life, and costs. 11
A current estimate suggests that more than 50% of all elective surgical cases have the potential to inflict significant harm on patients if cancelled or delayed. 48 Therefore, the question is which ones could be considered as priority interventions rather than elective ones. In line with this, our findings show that professionals attach greater importance to prioritizing ART profiles when compared to less severe profiles. This suggests a preference for fertility interventions over other non-urgent elective procedures by professionals. This might be because professionals acknowledge that the mother´s age is a critical factor in the success of ART, so the time variable is more crucial in these elective treatments than in others.
The context of the pandemic has brought to the fore a previously existing reality, the high emotional burden of infertility on patients, and the contrast with health professionals’ views on the relevance of infertility or ovarian reserve treatments. This may be explained by the fact that, as pointed by Wiltshire et al, the decision to treat or not to treat infertility is multifactorial. 49 For patients, the decision may not only reflect gestational desire, but also the impact of previous treatment failures, pregnancy loss or a cancer diagnosis. While from the physician’s perspective, other factors must be considered, such as the risk to the health of the patient and foetus, as well as that of the entire professional involved in the process. 49 In the case of fertility preservation, when women undergo cancer treatment or affected by gynaecological cancer, the individual autonomy of patients to make an informed decision should be considered unless the process may pose a risk to children or others. 9 The psychological wellbeing of these patients may be more affected by the loss of fertility than by the cancer diagnosis itself. 50 For this reason, the complexity of the decision to treat makes it essential that the approach be multidisciplinary, and may be necessary psychological support. 51
Although little evidence is available on the difference between patients’ and professionals’ views on the use of different health services during the pandemic, 52 other authors have also analyzed potential discrepancies in other therapeutic areas. In this respect, Antonacci et al, performed a survey to compare perceptions of urgency for musculoskeletal complaints between patients and physicians, showing significant differences between the diagnoses considered urgent between the two groups. 52 Discrepancies between patients and professionals are nothing new in the literature. A systematic review of discrete choice experiments shows that discordance between the preferences of the two groups on decisions about health interventions is more common than concordance. 53
There is limited evidence regarding the factors to be considered in the prioritization of surgical interventions, and existing evidence is heterogeneous. Some studies show the different perspectives between physicians and patients on the prioritization of patients on waiting lists with a view to establishing a strategy to improve the timeliness and robustness of waiting-time management. 54–56 Through a multiple case study, Déry et al compared the perspective between patient and provider regarding patient prioritization criteria in two rehabilitation programs, showing similar opinions about the criteria to prioritize patients on waiting lists between both groups (coinciding on almost half of the criteria). Their results revealed that the point of views of all stakeholders on prioritization criteria is an important part of the decision-making process. Other authors agree that patients’ quality of life should be one of the main factors to consider in waiting list management. 11 , 57 In this respect, it is important to bear in mind that measures adopted by governments during the COVID-19 pandemic have increased anxiety and psychological distress for infertile couples. 26 , 28–30 Although the decision to suspend the activity of ARUs was undeniably difficult and justified for the protection of health professionals and society at large, it is important that health professionals and policymakers understand the impact on the quality of life and psychological well-being of already vulnerable infertile patients. 58
This cross-sectional survey sought the views of patients and professionals on the impact of the pandemic on ART management in Spain as a secondary objective. Our findings suggest that both groups agreed on the negative impact that the pandemic has had on ARUs, revealing the need to seek strategies to minimize cancellations of fertility or preservation treatments and to continue providing healthcare to fertility patients during health crises. Our results are in line with other studies that reflect the negative impact that the pandemic has had on infertility patients or the lack of psychological support experienced by patients during this period. 26 , 28–30 , 59 Although a temporary delay in ART might be prudent at the beginning of a pandemic, a prolonged suspension on fertility treatments might have severe consequences for patients. 32 , 34 In such a situation, there is a need to define plans and recommendations for reestablishing treatments and thus minimize the uncertainty experienced by patients regarding future situations of service cessation. 34 Furthermore, it is necessary to define framework criteria that guarantee access to assisted reproduction in adequate time. In a scenario of increasing patient-centered care, patients’ opinion and preferences must be taken into account in defining prioritization criteria, giving them an increasingly active role in health planning. 60–62
Our study has some limitations, most of which are inherent to the methodology applied. The first is related to the study participants. We only consider the opinion of infertile couples and professionals from ARUs, so selection bias could be an issue. However, we framed our survey in this specific population to give value to the importance that this population attaches to a medical condition that is not generally considered to have a high social impact. Secondly, the BWS method provides a prioritization among those attributes included in the questionnaire, so results are limited and relative among the attributes included. Different approaches are available when analyzing multiple criteria to guide healthcare decision-making. Here, we selected a BWS experiment because it is an increasingly popular method to investigate the preferences of different key players in the health sector, as it is an easy and accessible method to quantify importance among a series of specific profiles or scenarios. 38 Identified limitations were overcome by including a SC and pilot tests answered by the general population, thus contributing to the selection of attributes and testing the experiment’s comprehensibility, respectively.
Despite of these limitations, this study makes the patients’ and professionals’ perspectives visible to society and health policy decisors, to give greater relevance to the ART procedures and they may be considered as other surgical elective procedures. This could have an impact on waiting lists and also in future health crisis situations, such as the one experienced with COVID-19.
Abbreviations
ART, assisted reproductive technology; BWS, best-worst scaling; ARSM, American Society for Reproductive Medicine; ESHRE, European Society of Human Reproduction and Embryology; SEF, Spanish Fertility Society; ASEBIR, Association for the Study of Reproductive Biology; ARU, Assisted Reproduction Units; SC, scientific committee; CEIm, Drug Research Ethics Committee; CS, cataract surgery; KP, knee arthroplasty; VS, varicose vein surgery; SD, standard deviation.
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