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Schilling LM, Fraumeni BR, Nacht AS, Abraham AG, Bauguess HD, Matesi G, Fringuello ME, Rashidyan L, Billups SJ. Improving Maternal Health Care Quality and Outcomes: Evaluation of a Pregnancy Medical Home. Am J Med Qual 2024; 39:123-130. [PMID: 38713600 DOI: 10.1097/jmq.0000000000000183] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/09/2024]
Abstract
Current maternal care recommendations in the United States focus on monitoring fetal development, management of pregnancy complications, and screening for behavioral health concerns. Often missing from these recommendations is support for patients experiencing socioeconomic or behavioral health challenges during pregnancy. A Pregnancy Medical Home (PMH) is a multidisciplinary maternal health care team with nurse navigators serving as patient advocates to improve the quality of care a patient receives and health outcomes for both mother and infant. Using bivariate comparisons between PMH patients and reference groups, as well as interviews with project team members and PMH graduates, this evaluation assessed the impact of a PMH at an academic medical university on patient care and birth outcomes. This PMH increased depression screenings during pregnancy and increased referrals to behavioral health care. This evaluation did not find improvements in maternal or infant birth outcomes. Interviews found notable successes and areas for program enhancement.
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Affiliation(s)
- Lisa M Schilling
- Department of General Internal Medicine, University of Colorado School of Medicine, Aurora, CO
| | - Brittney R Fraumeni
- Department of General Internal Medicine, University of Colorado School of Medicine, Aurora, CO
| | - Amy S Nacht
- Department of Obstetrics and Gynecology, University of Colorado School of Medicine, Aurora, CO
| | - Alison G Abraham
- Department of Epidemiology, University of Colorado School of Public Health, Aurora, CO
| | - Hannah D Bauguess
- Department of General Internal Medicine, University of Colorado School of Medicine, Aurora, CO
| | - Gregory Matesi
- Department of General Internal Medicine, University of Colorado School of Medicine, Aurora, CO
| | - Melanie E Fringuello
- Department of Obstetrics and Gynecology, University of Colorado School of Medicine, Aurora, CO
| | - Leah Rashidyan
- Department of Obstetrics and Gynecology, University of Colorado School of Medicine, Aurora, CO
| | - Sarah J Billups
- Department of Clinical Pharmacy, University of Colorado School of Pharmacy, Aurora, CO
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Community health workers as change agents in improving equity in birth outcomes in Detroit. PLoS One 2023; 18:e0281450. [PMID: 36787290 PMCID: PMC9928129 DOI: 10.1371/journal.pone.0281450] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Accepted: 01/23/2023] [Indexed: 02/15/2023] Open
Abstract
We examined whether pairing pregnant women with community health workers improved pregnancy outcomes among 254 Black women with singleton pregnancies participating in the Women-Inspired Neighborhood (WIN) Network: Detroit using a case-control design. A subset (N = 63) of women were recontacted and asked about program satisfaction, opportunities, and health behaviors. Michigan Vital Statistics records were used to ascertain controls (N = 12,030) and pregnancy and infant health outcomes. Logistic and linear regression were used to examine the association between WIN Network participation and pregnancy and infant health outcomes. The WIN Network participants were less likely than controls to be admitted to the neonatal intensive care unit (odds ratio = 0.55, 95% CI 0.33-0.93) and had a longer gestational length (mean difference = 0.42, 95% CI 0.02-0.81). Community health workers also shaped participants' view of opportunities to thrive. This study demonstrates that community health workers can improve pregnancy outcomes for Black women.
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Yan J. Is WIC effective in improving pregnancy-related outcomes? An empirical reassessment. ECONOMICS AND HUMAN BIOLOGY 2022; 47:101197. [PMID: 36427408 DOI: 10.1016/j.ehb.2022.101197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 09/13/2022] [Accepted: 11/02/2022] [Indexed: 06/16/2023]
Abstract
This study provides new evidence on how prenatal WIC participation influences pregnancy-related outcomes, using a large dataset of Medicaid mothers with two or more singleton births. Our analysis suggests there is negative selection by maternal unobserved factors even with a relatively homogenous sample and a rich set of observed characteristics. The conservative estimates from multiple regression which doesn't address maternal unobserved heterogeneity already demonstrate beneficial effects on a range of outcomes. The concern of mis-specification or extrapolation in the linear model is also ruled out. Controlling for the mother fixed effects, we find more statistically significant estimates which are usually larger in size. The within-mother estimates are robust in a series of sensitivity checks especially multiple inference adjustments. Overall, we find WIC does work to improve infant health and maternal health behaviors as well as reduce usage of costly maternity care.
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Affiliation(s)
- Ji Yan
- Department of Economics, Appalachian State University, PO BOX 32051, Boone, NC 28608, USA.
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Cross-Barnet C, Benatar S, Courtot B, Hill I. Limits of prenatal care coordination for improving birth outcomes among Medicaid participants. Prev Med 2022; 164:107240. [PMID: 36063876 DOI: 10.1016/j.ypmed.2022.107240] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Revised: 07/26/2022] [Accepted: 08/28/2022] [Indexed: 10/31/2022]
Abstract
Maternity Care Homes (MCHs) intend to address clinical and psychosocial needs for perinatal patients and are commonly implemented for Medicaid beneficiaries. Rigorous evidence supporting MCHs' effectiveness for improving birth outcomes is thin, but most studies consider only clinical and demographic factors from administrative data. To assess birth outcomes with controls for psychosocial variables known to affect them, this paper considers quantitative participant-level data from the Strong Start for Mothers and Newborns prenatal care initiative, with qualitative case study data to further contextualize results. From 2013 to 2017, Strong Start served over 45,000 Medicaid beneficiaries in 32 states, D.C., and Puerto Rico though MCHs, group prenatal care, or freestanding birth centers. Participant data included risks screens for food insecurity, depression, anxiety, pregnancy intention, and intimate partner violence, in addition to clinical and demographic information. After clinical, demographic and psychosocial risks were controlled in a regression model, Strong Start birth center participants showed significantly lower rates of preterm birth, low birthweight, and cesarean section relative to MCH participants (p < .01). In group prenatal care, White participants showed lower rates of preterm birth (p < .01) and Black participants showed lower rates of low birthweight (p < .05) relative to MCH participants. Strong Start participants reported appreciation for MCH care managers' support, but community and clinical referrals often had long waiting lists or were inaccessible. Transformative care models focusing on provider continuity, relationship building, and patient activation may offer more promise for improving birth outcomes than supplementing medical models with care management and other resources.
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Affiliation(s)
- Caitlin Cross-Barnet
- Centers for Medicare & Medicaid Services, 7500 Security Blvd, WB-19-72, Baltimore, MD 21244, United States of America.
| | - Sarah Benatar
- Urban Institute, 500 L'Enfant Plaza SW, Washington, DC 20024, United States of America
| | - Brigette Courtot
- Urban Institute, 500 L'Enfant Plaza SW, Washington, DC 20024, United States of America
| | - Ian Hill
- Urban Institute, 500 L'Enfant Plaza SW, Washington, DC 20024, United States of America
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Leister J, Allen J, Owusu Amoah D, Rosfeld C, Trevillian K. Re: “Social and Structural Determinants of Health Inequities in Maternal Health,” by Crear-Perry et al. J Womens Health (Larchmt) 2022; 31:1664-1665. [DOI: 10.1089/jwh.2022.0334] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Affiliation(s)
- Jeff Leister
- College of Nursing, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Jenna Allen
- College of Nursing, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Doris Owusu Amoah
- College of Nursing, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Chelsea Rosfeld
- College of Nursing, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Kayla Trevillian
- College of Nursing, Medical University of South Carolina, Charleston, South Carolina, USA
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Dong M, Qian R, Wang J, Fan J, Ye Y, Zhou H, Win B, Reid E, Zheng S, Lv Y, Pu Y, Chen H, Jin J, Lin Q, Luo X, Chen G, Chen Y, He Z, He G, Cheng S, Hu J, Xiao J, Ma W, Liu T, Wen X. Associations of COVID-19 lockdown with gestational length and preterm birth in China. BMC Pregnancy Childbirth 2021; 21:795. [PMID: 34837991 PMCID: PMC8626761 DOI: 10.1186/s12884-021-04268-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Accepted: 11/11/2021] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND The effects of COVID-19 lockdown measures on maternal and fetal health remain unclear. We examined the associations of COVID-19 lockdown with gestational length and preterm birth (PTB) in a Chinese population. METHODS We obtained medical records of 595,396 singleton live infants born between 2015 and 2020 in 5 cities in Guangdong Province, South China. The exposed group (N = 101,900) included women who experienced the COVID-19 Level I lockdown (1/23-2/24/2020) during pregnancy, while the unexposed group (N = 493,496) included women who were pregnant during the same calendar months in 2015-2019. Cumulative exposure was calculated based on days exposed to different levels of emergency responses with different weighting. Generalized linear regression models were applied to estimate the associations of lockdown exposure with gestational length and risk of PTB (< 37 weeks). RESULTS The exposed group had a shorter mean gestational length than the unexposed group (38.66 vs 38.74 weeks: adjusted β = - 0.06 week [95%CI, - 0.07, - 0.05 week]). The exposed group also had a higher risk of PTB (5.7% vs 5.3%; adjusted OR = 1.08 [95%CI, 1.05, 1.11]). These associations seemed to be stronger when exposure occurred before or during the 23rd gestational week (GW) than during or after the 24th GW. Similarly, higher cumulative lockdown exposure was associated with a shorter gestational length and a higher risk of PTB. CONCLUSIONS The COVID-19 lockdown measures were associated with a slightly shorter gestational length and a moderately higher risk of PTB. Early and middle pregnancy periods may be a more susceptible exposure window.
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Affiliation(s)
- Moran Dong
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
- School of Public Health, Southern Medical University, Guangzhou, 510515, China
| | - Rui Qian
- Statistical Information Center for Health and Family Planning Bureau of Foshan, Foshan, 528000, China
| | - Jiaqi Wang
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou, 510080, China
| | - Jingjie Fan
- Department of Prevention and Health Care, Shenzhen Maternity & Child Healthcare Hospital, Southern Medical University, Shenzhen, 518028, China
| | - Yufeng Ye
- Guangzhou Panyu Central Hospital, Guangzhou, 511400, China
| | - He Zhou
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou, 510080, China
| | - Brian Win
- Division of Behavioral Medicine, Department of Pediatrics, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY, 14214, USA
| | - Eve Reid
- Division of Behavioral Medicine, Department of Pediatrics, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY, 14214, USA
| | - Suijin Zheng
- The Affiliated Houjie Hospital, Guangdong Medical University, Dongguan, 523945, China
| | - Yanyun Lv
- Affiliated Jiangmen Hospital of Sun Yat-sen University, Jiangmen, 529030, China
| | - Yudong Pu
- Songshan Lake Central Hospital of Dongguan City, Dongguan, 523808, China
| | - Hanwei Chen
- Guangzhou Panyu Central Hospital, Guangzhou, 511400, China
| | - Juan Jin
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou, 510080, China
| | - Qingmei Lin
- Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, 528000, China
| | - Xiaoyang Luo
- Department of Ophthalmology, Guangdong Provincial People's Hospital, Guangzhou, 510000, China
| | - Guimin Chen
- School of Public Health, Southern Medical University, Guangzhou, 510515, China
| | - Yumeng Chen
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou, 510080, China
| | - Zhongrong He
- School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Guanhao He
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Shouzhen Cheng
- Nursing Department, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, China
| | - Jianxiong Hu
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Jianpeng Xiao
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Wenjun Ma
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No.601 West, Huangpu Road, Tianhe District, Guangzhou, 510632, China
| | - Tao Liu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No.601 West, Huangpu Road, Tianhe District, Guangzhou, 510632, China.
| | - Xiaozhong Wen
- Division of Behavioral Medicine, Department of Pediatrics, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY, 14214, USA
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