The impact of midwifery continuity of care on maternal mental health: A narrative systematic review

Cibralic, Sara; Pickup, Wendy; Diaz, Antonio Mendoza; Kohlhoff, Jane; Karlov, Lisa; Stylianakis, Anthea A.; Schmied, Virginia; Barnett, Bryanne; Eapen, Valsamma

doi:10.1016/j.midw.2022.103546

Cited by 19 publications

(9 citation statements)

References 62 publications

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“…The intervention should focus on improving PNC utilization. Furthermore, recent evidence showed that improved continuity of care during pregnancy is associated with better mental health [ 25 ] and birth outcomes [ 26 ]. Continuity of care may be enhanced with the information provided by the predominant provider analysis.…”

Section: Discussionmentioning

confidence: 99%

Who is your prenatal care provider? An algorithm to identify the predominant prenatal care provider with claims data

Deng,

Renaud,

Bennett

2024

BMC Health Serv Res

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Background Using claims data to identify a predominant prenatal care (PNC) provider is not always straightforward, but it is essential for assessing access, cost, and outcomes. Previous algorithms applied plurality (providing the most visits) and majority (providing majority of visits) to identify the predominant provider in primary care setting, but they lacked visit sequence information. This study proposes an algorithm that includes both PNC frequency and sequence information to identify the predominant provider and estimates the percentage of identified predominant providers. Additionally, differences in travel distances to the predominant and nearest provider are compared. Methods The dataset used for this study consisted of 108,441 live births and 2,155,076 associated South Carolina Medicaid claims from 2015–2018. Analysis focused on patients who were continuously enrolled throughout their pregnancy and had any PNC visit, resulting in 32,609 pregnancies. PNC visits were identified with diagnosis and procedure codes and specialty within the estimated gestational age. To classify PNC providers, seven subgroups were created based on PNC frequency and sequence information. The algorithm was developed by considering both the frequency and sequence information. Percentage of identified predominant providers was reported. Chi-square tests were conducted to assess whether the probability of being identified as a predominant provider for a specific subgroup differed from that of the reference group (who provided majority of all PNC). Paired t-tests were used to examine differences in travel distance. Results Pregnancies in the sample had an average of 7.86 PNC visits. Fewer than 30% of the sample had an exclusive provider. By applying PNC frequency information, a predominant provider can be identified for 81% of pregnancies. After adding sequential information, a predominant provider can be identified for 92% of pregnancies. Distance was significantly longer for pregnant individuals traveling to the identified predominant provider (an average of 5 miles) than to the nearest provider. Conclusions Inclusion of PNC sequential information in the algorithm has increased the proportion of identifiable predominant providers by 11%. Applying this algorithm reveals a longer distance for pregnant individuals travelling to their predominant provider than to the nearest provider.

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Section: Discussionmentioning

confidence: 99%

Who is your prenatal care provider? An algorithm to identify the predominant prenatal care provider with claims data

Deng,

Renaud,

Bennett

2024

BMC Health Serv Res

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“…Research has shown that maternal mental health during pregnancy can have long-lasting effects on both the mother and the child [ 40 ]. The influence of mental health extends beyond the antenatal period and can impact decisions made after birth, such as the choice to breastfeed.…”

Section: Discussionmentioning

confidence: 99%

Woman-Centered Care: Standardized Outcomes Measure

Nagineviciute,

Bartuseviciene,

Blazeviciene

2023

Medicina

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Background and Objectives: Patient- or woman-centered care, prioritizing women’s perspectives, needs, and preferences, is a widely recommended approach to enhance the quality of maternity care services. It aligns with the broader principles of patient-centered care, emphasizing the importance of a collaborative and respectful relationship between healthcare providers and women. This study evaluates low-risk pregnancies managed by midwives and obstetrician-gynecologists in Lithuania using patient-reported outcome measures and patient-reported experience measures. Materials and Methods: A prospective cohort study was conducted between September 2022 and April 2023. Data were collected through patient-reported questionnaires. Results: A total of 153 pregnant women who had singleton, low-risk pregnancies participated in the study, of whom 24.8% had their pregnancies supervised by a midwife, and 75.2% of the participants had their pregnancies supervised by an obstetrician-gynecologist. The study found no statistically significant differences in assessed patient-reported outcome measures and patient-reported experience measures between both models of care. Conclusions: Adopting patient-centered approaches enables healthcare systems to understand and address women’s specific needs and preferences, fostering high-quality and woman-centered care. This research adds to the growing evidence supporting midwife-led care and emphasizes the importance of personalized, woman-centered approaches in maternity care, ultimately enhancing maternal health outcomes and promoting positive experiences for low-risk pregnant women. The quality of care provided by midwives remains uncompromised and equivalently proficient compared to the care provided by collaborative teams.

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“…The SRs in the study between 2018 and 2023 in the countries of Iran [8-10, 12, 25, 26, 41], Spain [42], Turkey [6], Australia [43], Singapore [33], United Kingdom [44,45], Canada [46] and Nigeria [47] have been carried out. Among these SRs, the study of Azizi et al [8] has been conducted on the trials carried out in Iran and the study of Tola et al [47] has been conducted on trials conducted in low-and middle-income countries.…”

Section: Characteristics Of Included Srsmentioning

confidence: 99%

“…The number of trials included in these SRs varied from seven [6,44,46] to 63 [9] and the number of participants from 728 [25] to 11,185 [9]. The number of authors in three SRs [6,12,26] is three, in four SRs [8,25,33,42] four, in four SRs [41,[44][45][46] five, and in the other four SRs is six [9], seven [47], eight [10], and nine [43]. The interventions used in these SRs were psychological interventions [6, 8-10, 25, 33, 41, 42, 44-47], prenatal educations [8,9,12,26,42,44,45,46], distraction techniques [8,9,12,42,45,46] and enhanced cares [42,43,45,46].…”

Section: Characteristics Of Included Srsmentioning

confidence: 99%

The effect of non-pharmacological prenatal interventions on fear of childbirth: an overview of systematic reviews and meta-analysis

Alizadeh-Dibazari,

Maghalain,

Mirghafourvand

2024

BMC Psychiatry

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Background During pregnancy and childbirth, alongside positive feelings, women undergo feelings such as fear of childbirth (FoC) and worry about its consequences, which could leave negative effects on the mother and her child during pregnancy, delivery, and postpartum. The study was carried out to determine the effectiveness of prenatal non-pharmacological interventions on reducing the FoC. Methods The protocol of the study was registered in PROSPERO (ID: CRD42023468547). PubMed, Web of Science, Cochrane, Scopus, SID (Scientific Information Database) and Google Scholar search engine databases were systematically searched until July 27, 2023 with no limitation of time and limited to Persian and English studies in order to perform this overview. Certainty of evidence was assessed using GRADE, methodological quality using AMSTAR 2 and reporting quality using PRISMA score. Meta-analysis was performed on the data extracted from the original trials to evaluate the effect of different interventions on reducing the FoC. Sub-group analysis and meta-regression models were used to examine high heterogeneity, and sensitivity analysis was used to eliminate the effect of high risk of bias studies on the study findings. Results Overall, 15 systematic reviews (SRs) were included in the overview, among which meta-analysis was performed in 9 studies. Considering methodological quality, these SRs were in low to critically low status and had relatively complete reports regarding reporting quality. Meta-analysis findings indicated that psychological interventions (SMD -2.02, 95% CI -2.69 to -1.36, 16 trials, 1057 participants, I2 = 95%) and prenatal educations (SMD -0.88, 95% CI -1.16 to -0.61, 4 trials, 432 participants, I2 = 72.8%) cause a significant reduction in FoC relative to prenatal usual cares with low certainty of evidence. Distraction techniques lead to a significant reduction in FoC relative to prenatal usual care with high certainty of evidence (SMD -0.75, 95% CI -1.18 to -0.33, 4 trials, 329 participants, I2 = 69%), but enhanced cares do not result in a significant decrease FoC relative to prenatal usual care with very low certainty of evidence (SMD -1.14, 95% CI -2.85 to 0.58, 3 trials, 232 participants, I2 = 97%). Conclusions Distraction techniques are effective in reducing FoC. Regarding the effect of psychological interventions and prenatal educations on the reduction of FoC, the findings indicated that the interventions may result in the reduction of FoC. Very uncertain evidence showed that enhanced cares are not effective in reducing the FoC.

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The impact of midwifery continuity of care on maternal mental health: A narrative systematic review

Cited by 19 publications

References 62 publications

Who is your prenatal care provider? An algorithm to identify the predominant prenatal care provider with claims data

Who is your prenatal care provider? An algorithm to identify the predominant prenatal care provider with claims data

Woman-Centered Care: Standardized Outcomes Measure

The effect of non-pharmacological prenatal interventions on fear of childbirth: an overview of systematic reviews and meta-analysis

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