Introduction
In 2020, the global maternal mortality rate (MMR) was estimated at 223 deaths per 100,000 live births, marking a reduction of approximately one-third from the year 2000. During the first five years (2016 to 2020) of the adoption of the SDGs (Sustainable Development Goals), the MMR decreased significantly across 31 countries, although in 17 countries it is still on the rise. The SDG statement explicitly emphasizes the reduction of the MMR, However, it also highlights the necessity of expanding the focus beyond mere survival to include broader health outcomes [
1].
Three-quarters of maternal deaths in developing countries including Iran are attributed to direct obstetric complications [
2]. The involvement of a skilled midwifery professional plays an important role in preventing maternal deaths from these causes [
3]. Notably, in Iran, 99% of births are currently attended by skilled healthcare providers such as midwives [
4].
Globally, midwives administer various models of maternal care in practice, such as the individual caseload model, partnership, one-to-one and continuous care. The continuous care model particularly emphasizes maintaining continuity of care throughout pregnancy and childbirth [
5,
6].
Globally, the management of low-risk pregnancies by midwives often results in a more natural childbirth process, leading to improved physical and psychological outcomes for both mother and baby [
5,
7]. In Iran, midwifery is acknowledged as an independent profession. However, the healthcare system integrates it within a biomedical framework. In this country, although midwives offer comprehensive care to mothers throughout pregnancy and childbirth, gynecologists are primarily responsible for maternal health in prenatal clinics and hospitals [
8]. Studies indicate that, within the expert-supervised model, the gynecologist determines the midwife’s scope of activities, and midwives lose their clinical independence and reasoning ability and they only perform routine tasks under the supervision and guidance of specialists [
5,
8,
9].
In Iran, the model of maternity care varies by hospital level and midwives work under gynecologists’ supervision across all levels, but their roles differ. In level 3 hospitals, midwives primarily focus on taking medical histories and providing maternal care, while specialists or residents manage labor and delivery. In levels 1 and 2 hospitals, midwives manage the entire labor process and provide one-to-one care in “LDR
1” rooms. Generally, individual caseload and partnership model of care are not carried out in Iran due to the lack of autonomy for midwives. However, some hospitals, particularly private ones, offer continuous midwifery care for mothers with low-risk pregnancies. In these settings, midwives, known as “private midwives,” provide care throughout pregnancy and manage labor and delivery independently, with gynecologists assisting as needed.
Another type of care provided by midwives in the private sectors in Iran is a service known as “doula care” which focuses on providing continuous physical and emotional support during labor and delivery. However, in this model, doulas do not participate in prenatal or delivery care, so it is not considered continuous midwifery care [
10]. Doula care has shown positive effects in studies in terms of shortening the duration of labor, early initiation of breastfeeding, reducing abnormal patterns of labor, improving neonatal health, reducing the need for induction and lowering cesarean rates [
11‐
13].
Evidence suggests that the model of care significantly impacts maternal and neonatal outcomes. A systematic review conducted in 2023 found that midwifery-led care enhances several key outcomes, including higher rates of normal vaginal delivery, lower rates of episiotomy and postpartum hemorrhage, and shorter neonatal stays in NICUs. The study attributes these positive effects to the strong trust between midwives and expectant mothers, and the personalized attention paid to individual needs in midwifery-led care [
14]. Furthermore, a lives saved tool modelling study in 2021 indicated that universal coverage of midwife-led interventions could potentially save millions of lives each year by 2035, by preventing 67% maternal deaths, 64% of neonatal deaths, and 65% of stillbirths [
15]. Consistent with these findings, several other studies have also demonstrated that midwifery-led care yields better outcomes compared to specialist-led care. These benefits include shorter labor duration, fewer childbirth complications, reduced labor pain, lower rates of labor induction, decreased use of epidural anesthesia, higher Apgar scores, and greater satisfaction with the childbirth experience [
6,
16‐
20].
In Iran, despite policymakers and researchers placing a strong emphasis on improving the quality of midwifery care and developing midwife-led care [
21], no report has been published so far on the outcomes of midwife-led care, which here means the care provided by private midwives. Thus, this study aims to compare the maternal and neonatal outcomes of the care provided by private midwives with those of routine midwifery care.
Method
Study design and setting
The present study is a retrospective cohort study conducted in Tehran, Iran, in 2022, and received approval from the research ethics committees of School of Nursing and Midwifery & Rehabilitation of Tehran University of Medical Sciences (TUMS) under the license number IR.TUMS.FNM.REC.1400.109. In this study, the research setting was initially considered to be six private hospitals affiliated to TUMS where private midwives had cooperation contracts. These hospitals were Omid, Sajjad, Parsa, Ansari, Bazarganan and Mardom hospitals.
Data source
The information related to the births performed in these hospitals was taken from the 2020 records of the Iman system, a national maternal and newborn platform established by the midwifery department of the Iranian Ministry of Health and Medical Education. This platform is designed to accurately record birth information and newborn outcomes. It assists in the allocation and prioritization of resources, strengthens and monitors the health system, and supports research related to pregnancy, childbirth, and newborn care.
The mentioned hospitals were selected because of the substantial number of patients and compliance with standardized care protocols. These protocols ensure the implementation of evidence-based practices under the supervision of the Ministry of Health and medical sciences universities. They guarantee that hospitals adhere to established national and international standards for managing pregnancy and childbirth, with the goal of achieving the best possible outcomes for both mothers and newborns. Additionally, these hospitals have significant involvement from private midwives. However, during the sampling process, due to the lack of sufficient information on private midwifery care in the Iman system for Parsa and Mardom hospitals, these two hospitals were excluded from the sampling.
Participants and sample size
The sample size was considered to be 385 participants in each group. The required sample size was calculated based on the following formula at a significance level of 0.05, a power of 80%, and the proportions
\(\:\:{p}_{1}\) =0.09 and
\(\:{p}_{2}\) =0.04 according to the Wernham E et al.’s study findings [
22].
$$\:n=\frac{{\left({z}_{1-{}^{\alpha}\!\left/\:\!{}{2}\right.}+{z}_{1-\beta\:}\right)}^{2}({p}_{1}{q}_{1}+{p}_{2}{q}_{2})}{{d}^{2}}$$
Finally, the research samples consisted of 784 low-risk pregnant women who were divided into two groups including 397 mothers in Privet Care Group (PCG) and 387 mothers in Routine Care Group (RCG).
The inclusion criteria were as follows: age between 15 and 40 years, gestational age between 37 and 42 weeks, presence of a live fetus, singleton pregnancy, absence of diagnosed major abnormalities in the baby, cephalic presentation, and birth weight of the baby between 2500 and 4000 g. During data collection, some mothers were classified as high-risk, or the information was not accurately recorded in the Iman system. As a result, these cases were excluded from the study. To maintain the integrity of the statistical analysis, each excluded participant was promptly replaced with a new participant who met the inclusion criteria.
Data collection and statistical methods
To collect data for this study, the checklist of Tian V’s study was used [
23]. It was then matched with the information available in the Iman system. Additional variables were removed, and variables mentioned in the proposal that were not included in the original checklist were incorporated. Finally, the revised checklist comprised four sections: demographic and social information, obstetrics information, the information about the presence of private midwives and hospital midwives or gynecologists and a section related to the maternal and newborn outcomes. The checklist was evaluated for content validity through a review by10 professors specializing in midwifery and reproductive health, Subsequently, the checklist was uploaded to Porsline, a well-known online survey platform in Iran, and samples were collected online.
In the final step, after data collection, statistical analysis was conducted using SPSS version 26 software. The analyses included Kruskal-Wallis, Chi-square, logistic regression, independent sample t-test, analysis of variance, and Fisher’s exact test, with a significance level set at P < 0.05.
Findings
Based on the results, the age of mothers in the RCG was 29.41 ± 5.11 years while in the PCG it was 28.38 ± 4.71 years. The result of the independent sample t-test indicated a statistically significant difference in maternal age (
P = 0.003) and the level of education between the two groups (
P = 0.011). However, the study found no statistically significant difference between the two groups regarding insurance coverage (Table
1) or obstetrics characteristics including the number of pregnancies, childbirth, live children, abortions, average gestational age and the type of previous childbirth (Table
2).
Table 1
Distribution of individual characteristics for RCG and PCG
Having Insurance
| Yes | 208 | 53.7 | 190 | 47.9 |
\(\:\chi^2=\) 2.718 df = 1
P = 0.099 |
No | 179 | 46.3 | 207 | 52.1 |
Total sum | 387 | 100 | 397 | 100 |
Mother’s age
| ≤ 19 | 10 | 2.6 | 4 | 1 |
t = 2.921 df=782
P = 0.003 |
20–24 | 60 | 15.5 | 96 | 24.2 |
25–29 | 118 | 30.5 | 124 | 31.2 |
30–34 | 136 | 35.1 | 133 | 33.5 |
≥ 35 | 63 | 16.3 | 40 | 10.1 |
Mean ± Standard deviation Maximum-minimum | 29.41 ± 5.11 18–41 | 28.38 ± 4.71 18–49 |
Education
| lliterate | 7 | 1.8 | 23 | 5.8 |
\(\:\chi^2=\) 11.141
df = 3
P = 0.011 |
Primary and middle school | 26 | 6.7 | 35 | 8.8 |
High school to associate degree | 195 | 50.3 | 200 | 50.3 |
Bachelor and above | 159 | 41.1 | 139 | 35 |
Total sum | 387 | 100 | 397 | 100 |
Table 2
Distribution of obstetric characteristics of women in RCG and PCG
Gestational age
| 37-38 | 159 | 41.1 | 148 | 37.3 |
t =1.794 df=782
P = 0.073 |
39-40 | 209 | 54 | 232 | 58.4 |
41-42 | 19 | 4.9 | 17 | 4.3 |
Mean ± Standard deviation | 38.78 ± 1.17 | 38.92 ± 1.11 |
Number of pregnancies
| 1 | 208 | 53.7 | 184 | 46.3 |
\(\:\chi^2=\) 6.009 df= 3
P= 0.111 |
2 | 119 | 30.7 | 128 | 32.2 |
3 | 43 | 11.1 | 23 | 5.8 |
≥4 | 17 | 4.4 | 23 | 5.8 |
Total sum | 387 | 100 | 397 | 100 |
Number of childbirths
| 0 | 229 | 59.2 | 230 | 57.9 |
\(\:\chi^2=\) 3.057 df = 2
P = 0.216 |
1 | 123 | 31.8 | 116 | 29.2 |
≥2 | 35 | 9 | 51 | 12.8 |
Total sum | 387 | 100 | 397 | 100 |
Number of living child
| 0 | 229 | 59.2 | 231 | 58.2 |
\(\:\chi^2=\) 2.734 df= 2
P
=0.256 |
1 | 123 | 31.8 | 116 | 29.2 |
≥2 | 35 | 9 | 50 | 12.6 |
Total sum | 387 | 100 | 397 | 100 |
Number of abortions
| 0 | 322 | 83.2 | 314 | 79.1 |
\(\:\chi^2=\) 2.195 df= 2
P
=0.338 |
1 | 54 | 14 | 68 | 17.1 |
≥2 | 11 | 2.8 | 15 | 3.8 |
Total sum | 387 | 100 | 397 | 100 |
Type of previous childbirth
| No delivery | 231 | 59.7 | 227 | 57.2 |
\(\:\chi^2=\) 0.518 df=2
P
=0.806 |
Normal vaginal delivery | 149 | 38.5 | 162 | 40.8 |
Cesarean section | 7 | 1.8 | 8 | 2 |
Total sum | 387 | 100 | 397 | 100 |
Regarding maternal outcomes, labor pain management was administered for 37.7% of women in the RCG and 51.9% of women in the PCG, and the chi-square test results indicated a statistically significant difference between the two groups (
P < 0.001). Also, the findings revealed that 44.2% of women in the RCG and 22.9% in the PCG underwent episiotomy, and a statistically significant difference between the two groups was observed (
P < 0.001). Moreover, 14.2% of women in the RCG and only 6% of women in the PCG had labor induction and this difference was statistically significant (
P < 0.001). Furthermore, 1.3% of women in the RCG and 0.8% of women in the PCG delivered with forceps or vacuum. However, this difference was not statistically significant (
P = 0.5) (Table
3).
Table 3
Distribution of the frequency of maternal outcomes between the RCG and PCG
Type of delivery
| Normal vaginal delivery | 380 | 98.2 | 389 | 98 |
\(\:\chi^2=\) 0.44 df= 1
P=0.999 |
Normal vaginal delivery after caesarean | 7 | 1.8 | 8 | 2 |
Total sum | 387 | 100 | 397 | 100 |
Rooming-in
| Yes | 379 | 97.97 | 387 | 97.5 |
\(\:\chi^2=\) 0.178 df= 1
P=0.813 |
No | 8 | 2.1 | 10 | 2.5 |
Total sum | 387 | 100 | 397 | 100 |
One-to-one care
| Yes | 379 | 97.9 | 383 | 96.5 |
\(\:\chi^2=\) 1.53 df= 1
P=0.280 |
No | 8 | 1.2 | 14 | 5.3 |
Total sum | 387 | 100 | 397 | 100 |
Presence of the husband during childbirth
| Yes | 286 | 73.9 | 305 | 76.8 |
\(\:\chi^2=\) 0.903 df= 1
P=0.362 |
No | 101 | 26.1 | 92 | 32.2 |
Total sum | 387 | 100 | 397 | 100 |
Presence of the doula midwife during childbirth
| Yes | 42 | 10.9 | 125 | 31.5 |
\(\:\chi^2=\) 49.769 df= 1
P<0.001 |
No | 345 | 89.1 | 272 | 68.5 |
Total sum | 387 | 100 | 397 | 100 |
The use of forceps or vacuum
| Yes | 5 | 1.3 | 3 | 0.8 |
\(\:\chi^2=\) 0.558
df=1
p=0.5 |
No | 382 | 98.7 | 394 | 99.2 |
Total sum | 387 | 100 | 397 | 100 |
Immediate postpartum transfer
| Routine Care | 386 | 99.7 | 396 | 99.7 |
\(\:\chi^2=\) 2.001
df=2
p=0.744 |
OR Transfer | 1 | 0.3 | 0 | 0 |
ICU Transfer | 0 | 0 | 1 | 0.3 |
Total sum | 387 | 100 | 397 | 100 |
The use of episiotomy
| Yes | 171 | 44.2 | 91 | 22.9 |
\(\:\chi^2=\) 39.824
df=1
p<0.001 |
No | 216 | 55.8 | 306 | 77.1 |
Total sum | 387 | 100 | 397 | 100 |
Pain control management
| Without control | 241 | 62.3 | 191 | 48.1 |
\(\:\chi^2=\) 17.302
df=2
p<0.001 |
Non-pharmacological | 139 | 35.9 | 201 | 50.6 |
Pharmacological | 7 | 1.8 | 5 | 1.2 |
Total sum | 387 | 100 | 397 | 100 |
Induction of labor
| Yes | 55 | 14.2 | 24 | 6 |
\(\:\chi^2=\) 14.424
df=1
p<0.001 |
No | 332 | 85.8 | 373 | 94 |
Total sum | 387 | 100 | 397 | 100 |
In the logistic regression model, the results indicated that both maternal age (
P = 0.004) and labor pain control (
P < 0.001) were significantly associated with the type of care (Table
4). Specifically, as maternal age increased, the likelihood of utilizing routine care increased by 5%. Also, the likelihood of not using interventions to manage labor pain was twice as high in the RCG compared to the PCG. In other words, the chances of utilizing pain control interventions were higher in the PCG (Table
4).
Table 4
Logistic regression results of factors affecting care during childbirth
Mother’s age
| 0.048 | 0.004 | 1.050 |
(1.058–1.016)
|
Mother’s education
| Illiterate | 1.082 | 0.093 | 2.949 |
(10.433–0.834)
|
Elementary and middle school | 0.836 | 0.186 | 2.307 |
(7.956 − 0.669)
|
High school to associate degree | 0.832 | 0.168 | 2.299 |
(7.500-0.705)
|
Bachelor and above | Reference category |
The onset of labor pains
| Spontaneous | −0.618 | 0.061 | 0.539 |
(1.029–0.283)
|
Induction of labor | Reference category |
Labor pain control
| Without control | 0.694 | < 0.001 | 2.001 |
(2.768–1.447)
|
Pharmacological or non-pharmacological control | Reference category |
Intervention during childbirth
| Yes | 0.122 | 0.854 | 1.130 |
(4.160–0.307)
|
No | Reference category |
Episiotomy
| Yes | 1.135 | 0.074 | 3.112 |
(10.810–0.896)
|
No | Reference category |
Induction of labor
| Yes | 0.666 | 0.063 | 1.947 |
(3.991 − 0.949)
|
No | Reference category |
In relation to neonatal outcomes, the study revealed no significant differences between the two groups in various measures, including infant’s birth weight (
P = 0.460), fifth-minute Apgar score (
P = 0.75), neonatal resuscitation (
P = 0.999), skin-to-skin contact (
P = 0.626), initiation of breastfeeding (
P = 0.241) and admission to the NICU (
P = 0.66) (Table
5).
Table 5
Distribution of the frequency of neonatal outcomes between the RCG and PCG
Infant’s birth weight
| 2500-3000 | 107 | 26.6 | 83 | 29.9 |
t = - 0.739 df=778.8
P= 0.460 |
3000-3500 | 165 | 42.6 | 207 | 52.1 |
3500-4000 | 115 | 29.7 | 107 | 27 |
Mean ± Standard deviation | 3272.93 ± 383.06 | 3292.78 ± 368.58 |
Total sum | 387 | 100 | 397 | 100 |
Fifth-minute Apgar score
| More than 7 | 382 | 98.7 | 393 | 99 |
\(\:\chi^2=\) 0.140
df= 1
P=0.75 |
less than 7 | 5 | 1.3 | 4 | 1 |
Total sum | 387 | 100 | 397 | 100 |
Neonatal resuscitation
| Yes | 4 | 1 | 4 | 1 |
\(\:\chi^2=\) 0.001
df= 1
P=0.999 |
No | 383 | 99 | 393 | 99 |
Total sum | 387 | 100 | 397 | 100 |
Skin-to-skin contact
| ≥ 1 hour | 380 | 98.2 | 387 | 97.5 |
\(\:\chi^2=\) 0.466
df= 1
P=0.626 |
Not done | 7 | 1.8 | 10 | 2.5 |
Total sum | 387 | 100 | 397 | 100 |
Initiation of breastfeeding
| Yes | 377 | 97.4 | 380 | 95.7 |
\(\:\chi^2=\) 1.699
df= 1
P=0.241 |
No | 10 | 2.6 | 17 | 4.3 |
Total sum | 387 | 100 | 397 | 100 |
Admission to the NICU
| Yes | 9 | 2.3 | 12 | 3 |
\(\:\chi^2=\) 0.365
df= 1
P=0.66 |
No | 378 | 97.7 | 385 | 97 |
Total sum | 387 | 100 | 397 | 100 |
Discussion
Based on previous studies, our hypothesis was that continuous midwifery care, provided by a dedicated and trusted midwife, referred to as a
private midwife in Iran, can lead to improved maternal and neonatal outcomes compared to routine midwifery services delivered by shift-working midwives in hospitals. Therefore, this study was designed and implemented to investigate this hypothesis within the context of Iran. One of the notable findings of our study was that the users of private midwifery services were young women known as Generation Z in Iran. We characterized them as a more informed, intelligent, and empowered generation due to their intellectual advancement and modern perspectives. Therefore, it is not far-fetched to conclude that these women are more aware of modern midwifery services and are more willing to utilize them. This trend, however, has also been attributed in other studies to the greater fear and anxiety young women have about natural childbirth [
24‐
26]. We believe that, given the changes occurring in the newer generations of Iranian society, the shift from traditional services (RCG) to modern midwifery services (PCG) is more closely related to the increased awareness and empowerment of young mothers rather than their higher fear and anxiety.
Another finding of our study was that women in the PCG had lower levels of education compared to the RCG. Although other studies have shown that lower maternal education is associated with greater fear of childbirth [
27], suggesting that less educated Iranian mothers may seek private midwifery services due to greater fear of vaginal delivery, we believe another interpretation is more plausible. Younger women are more aware of new midwifery services than older women because they are more likely to search for and obtain new information on social media, which has little to do with the level of maternal education. However, we suggest that the impact of maternal general information on the greater use of modern obstetric services should be investigated in future studies.
Logistic regression analysis also indicated that the likelihood of using pain control methods in the RCG was half that in the PCG. Although PCG used more non-pharmacological pain relief methods, this aspect is not solely a negative point but can also be considered an advantage for PCG. However, as this study did not assess the mothers’ responses to the pain relief methods, it remains unclear which group of mothers was ultimately more satisfied with their pain management approaches. Therefore, further research is recommended to explore this issue. Existing studies have established a correlation between the number of previous deliveries and the experience of pain [
28]. However, in this study, no significant difference was observed between the two groups regarding the number of pregnancies and deliveries. Therefore, if mothers report experiencing less pain, it is more likely attributable to the use of pain relief methods rather than the difference in the number of deliveries. In general, we believe that private midwives’ use of non-pharmacological pain control methods can be regarded as a promising form of care rather than an unnecessary intervention. The study by Buerengen et al. also found that one-to-one midwifery care during the active stage of labor can reduce the use of epidural anesthesia [
29]. In conclusion, the presence of a private midwife appears to enhance a mother’s sense of security and self-control. As a result, there is less need to use pharmacological pain relief methods, which can be associated with harmful side effects for both the mother and newborn.
Another finding from the chi-square test indicated that there was no statistically significant difference between the RCG and PCG regarding normal vaginal delivery and one-to-one care. Discrepancies between Iman system data and published research on cesarean section rates in Iran warrant further investigation. While our findings from the Iman system showed high rates of natural childbirth and low cesarean section rates, these figures differ significantly from published data highlighting a high national cesarean section rate. Additionally, the study revealed that 73.9% of women in the RCG and 76.8% in the PCG had their husbands present during childbirth, with no statistical difference between the groups (P = 0.362). While it is logical for husbands to be present with mothers under private midwife care, it is unusual in routine care settings where this is typically not permitted. Therefore, to address these discrepancies, we recommend enhanced data entry training for hospital staff and implementing data validation procedures to identify and address potential discrepancies within the system.
A comparison of RCG and PCG in terms of labor and delivery interventions, including episiotomy, labor induction, and the use of forceps and vacuum, revealed that women in the PCG group experienced fewer interventions compared to the RCG group. This suggests that PCG may be associated with a more natural childbirth experience. National data also indicate that the overall use of medical interventions during childbirth in Iran significantly exceeds World Health Organization (WHO) standards [
30]. On the other hand, evidence suggests that continuous professional support from midwives can reduce the use of labor induction and significantly enhance the mother’s childbirth experience [
31]. Consistent with these findings, the study by Hailemeskel et al. demonstrated that women who received midwifery-led care were more likely to have spontaneous vaginal births compared to those who received care from various staff members at different times [
32]. In terms of instrumental delivery, the chi-square result showed no significant statistical difference between the RCG and PCG. Notably, in both groups, especially the PCG, the instrumental delivery rate was very low. In this regard, Fortier et al.’s study demonstrated that continuous supportive care during labor can reduce the use of vacuum and cesarean section [
33].
According to other findings from this study, 99.7% of women in both RCG and PCG did not experience negative postpartum complications (defined as the transfer of the mother to the OR or ICU immediately after delivery), with no significant statistical difference between the groups (P = 0.744). It appears that, due to the necessary time gap for the manifestation of post-delivery complications such as early hemorrhage, the absence of negative outcomes immediately after delivery is insufficient to assess the quality of care. Therefore, in addition to assessing the presence of negative outcomes immediately after delivery, it is crucial to examine the presence of negative outcomes within the first 24 h post-delivery.
Upon comparing neonatal outcomes, the findings showed no statistically significant difference between the two groups in terms of baby’s birth weight, fifth-minute Apgar score, neonatal resuscitation, skin to skin contact, initiation of breastfeeding and admission to the NICU. While other studies have demonstrated the positive impact of continuous midwifery care on facilitating skin-to-skin contact, promoting breastfeeding in the first hour after birth [
11] and improving newborns’ general health [
13,
17], the lack of significant difference between the RCG and PCG in terms of skin-to-skin contact and initiation of breastfeeding suggests a need for further investigation into the data collection process for the Iman system. Future studies should assess whether these questionable findings are indicative of inaccurate data entry within the national data collection systems or reflect the high quality of routine maternal and newborn care. We prefer to refrain from making judgments in this regard.
Strength and limitation
This study uniquely utilizes data from the Ministry of Health of Iran, providing an innovative approach compared to previous similar studies. By applying this comprehensive and authoritative data source, our research offers valuable insights that can inform clinical practice and policy-making in maternal healthcare. This contribution is particularly significant for the promotion of continuous midwifery care in developing countries. One limitation of this study is the potential for incorrect data entry within the Iman system, which could impact the accuracy of our findings and introduces a risk of bias. Additionally, the study was unable to assess certain variables not considered in the Iman system, such as mothers’ satisfaction with the pain control methods.
The findings of this study can serve as a foundation for further research on women’s perceptions, experiences, and neonatal outcomes associated with care by private midwives. Moreover, it is advisable to actively pursue and implement comprehensive policies to promote collaboration between private midwives and both governmental and private hospitals, particularly in developing countries. This approach will significantly contribute to the achievement of SDGs, especially for these countries.
Conclusion
This retrospective cohort study highlighted that midwifery-led care emphasizes physiologic birth practices, utilizing fewer interventions such as labor induction and episiotomy, and employing more non-pharmacological pain management methods. However, no statistically significant differences in neonatal outcomes were observed between midwifery-led care and routine midwifery care, despite other studies demonstrating positive impacts of continuous midwifery care on several neonatal outcomes. Given the positive impact of midwife-led care on significant maternal outcomes, it is recommended that health policymakers establish the necessary conditions for implementing a continuous midwifery care model in both governmental and private hospitals and prenatal clinics. Furthermore, future research should explore the challenges and facilitators of this model, as well as its impact on neonatal outcomes, using quantitative, qualitative, and mixed methods research.
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