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Garite TJ, Manuck TA. Should case management be considered a component of obstetrical interventions for pregnancies at risk of preterm birth? Am J Obstet Gynecol 2023; 228:430-437. [PMID: 36130634 PMCID: PMC10024643 DOI: 10.1016/j.ajog.2022.09.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 08/11/2022] [Accepted: 09/14/2022] [Indexed: 11/24/2022]
Abstract
Preterm birth remains the leading cause of morbidity and mortality among nonanomalous neonates in the United States. Unfortunately, preterm birth rates remain high despite current medical interventions such as progestogen supplementation and cerclage placement. Case management, which encompasses coordinated care aimed at providing a more comprehensive and supportive environment, is a key component in improving health and reducing costs in other areas of medicine. However, it has not made its way into the general lexicon and practice of obstetrical care. Case management intended for decreasing prematurity or ameliorating its consequences may include specialty clinics, social services, coordination of specialty services such as nutrition counseling, home visits or frequent phone calls by specially trained personnel, and other elements described herein. It is not currently included in nor is it advocated for as a recommended prematurity prevention approach in the American College of Obstetricians and Gynecologists or Society for Maternal-Fetal Medicine guidelines for medically indicated or spontaneous preterm birth prevention. Our review of existing evidence finds consistent reductions or trends toward reductions in preterm birth with case management, particularly among individuals with high a priori risk of preterm birth across systematic reviews, metaanalyses, and randomized controlled studies. These findings suggest that case management has substantial potential to improve the environmental, behavioral, social, and psychological factors with patients at risk of preterm birth.
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Affiliation(s)
- Thomas J Garite
- Sera Prognostics, Salt Lake City, UT; University of California Irvine, Irvine, CA.
| | - Tracy A Manuck
- Division of Maternal-Fetal Medicine, Department of Obstetrics & Gynecology, The University of North Carolina at Chapel Hill, Chapel Hill, NC; Institute for Environmental Health Solutions, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC
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Liu J, Zhao L, Zhao X, Bawa EM, Alston K, Karim S, Merchant AT, Tang J, Wilcox S. Impact of a Large Healthy Start Program on Perinatal Outcomes, South Carolina, 2009-2019. Am J Public Health 2023; 113:509-513. [PMID: 36893369 PMCID: PMC10088942 DOI: 10.2105/ajph.2023.307232] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/11/2023]
Abstract
Using linked birth and death certificates for participants served by a Healthy Start program in South Carolina and community controls, we found that the Healthy Start program contributed to significant improvements in prenatal care, breastfeeding initiation, and participation in the Special Supplemental Nutrition Program for Women, Infants, and Children and significant reductions in inadequate weight gain and large-for-gestational-age births. However, Healthy Start participants were more likely to gain excessive weight during pregnancy, and there were no significant differences in perinatal outcomes. (Am J Public Health. Published online ahead of print March 9, 2023:e1-e5. https://doi.org/10.2105/AJPH.2023.307232).
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Affiliation(s)
- Jihong Liu
- Jihong Liu, Longgang Zhao, Xingpei Zhao, Eric Mishio Bawa, Sabrina Karim, and Anwar T. Merchant are with the Department of Epidemiology & Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia. Kimberly Alston is with Midlands Healthy Start, Prisma Health, Columbia, SC. Jun Tang is with the Division of Biostatistics, South Carolina Department of Health and Environmental Control, Columbia. Sara Wilcox is with the Department of Exercise Science and the Prevention Research Center, Arnold School of Public Health, University of South Carolina, Columbia
| | - Longgang Zhao
- Jihong Liu, Longgang Zhao, Xingpei Zhao, Eric Mishio Bawa, Sabrina Karim, and Anwar T. Merchant are with the Department of Epidemiology & Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia. Kimberly Alston is with Midlands Healthy Start, Prisma Health, Columbia, SC. Jun Tang is with the Division of Biostatistics, South Carolina Department of Health and Environmental Control, Columbia. Sara Wilcox is with the Department of Exercise Science and the Prevention Research Center, Arnold School of Public Health, University of South Carolina, Columbia
| | - Xingpei Zhao
- Jihong Liu, Longgang Zhao, Xingpei Zhao, Eric Mishio Bawa, Sabrina Karim, and Anwar T. Merchant are with the Department of Epidemiology & Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia. Kimberly Alston is with Midlands Healthy Start, Prisma Health, Columbia, SC. Jun Tang is with the Division of Biostatistics, South Carolina Department of Health and Environmental Control, Columbia. Sara Wilcox is with the Department of Exercise Science and the Prevention Research Center, Arnold School of Public Health, University of South Carolina, Columbia
| | - Eric Mishio Bawa
- Jihong Liu, Longgang Zhao, Xingpei Zhao, Eric Mishio Bawa, Sabrina Karim, and Anwar T. Merchant are with the Department of Epidemiology & Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia. Kimberly Alston is with Midlands Healthy Start, Prisma Health, Columbia, SC. Jun Tang is with the Division of Biostatistics, South Carolina Department of Health and Environmental Control, Columbia. Sara Wilcox is with the Department of Exercise Science and the Prevention Research Center, Arnold School of Public Health, University of South Carolina, Columbia
| | - Kimberly Alston
- Jihong Liu, Longgang Zhao, Xingpei Zhao, Eric Mishio Bawa, Sabrina Karim, and Anwar T. Merchant are with the Department of Epidemiology & Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia. Kimberly Alston is with Midlands Healthy Start, Prisma Health, Columbia, SC. Jun Tang is with the Division of Biostatistics, South Carolina Department of Health and Environmental Control, Columbia. Sara Wilcox is with the Department of Exercise Science and the Prevention Research Center, Arnold School of Public Health, University of South Carolina, Columbia
| | - Sabrina Karim
- Jihong Liu, Longgang Zhao, Xingpei Zhao, Eric Mishio Bawa, Sabrina Karim, and Anwar T. Merchant are with the Department of Epidemiology & Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia. Kimberly Alston is with Midlands Healthy Start, Prisma Health, Columbia, SC. Jun Tang is with the Division of Biostatistics, South Carolina Department of Health and Environmental Control, Columbia. Sara Wilcox is with the Department of Exercise Science and the Prevention Research Center, Arnold School of Public Health, University of South Carolina, Columbia
| | - Anwar T Merchant
- Jihong Liu, Longgang Zhao, Xingpei Zhao, Eric Mishio Bawa, Sabrina Karim, and Anwar T. Merchant are with the Department of Epidemiology & Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia. Kimberly Alston is with Midlands Healthy Start, Prisma Health, Columbia, SC. Jun Tang is with the Division of Biostatistics, South Carolina Department of Health and Environmental Control, Columbia. Sara Wilcox is with the Department of Exercise Science and the Prevention Research Center, Arnold School of Public Health, University of South Carolina, Columbia
| | - Jun Tang
- Jihong Liu, Longgang Zhao, Xingpei Zhao, Eric Mishio Bawa, Sabrina Karim, and Anwar T. Merchant are with the Department of Epidemiology & Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia. Kimberly Alston is with Midlands Healthy Start, Prisma Health, Columbia, SC. Jun Tang is with the Division of Biostatistics, South Carolina Department of Health and Environmental Control, Columbia. Sara Wilcox is with the Department of Exercise Science and the Prevention Research Center, Arnold School of Public Health, University of South Carolina, Columbia
| | - Sara Wilcox
- Jihong Liu, Longgang Zhao, Xingpei Zhao, Eric Mishio Bawa, Sabrina Karim, and Anwar T. Merchant are with the Department of Epidemiology & Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia. Kimberly Alston is with Midlands Healthy Start, Prisma Health, Columbia, SC. Jun Tang is with the Division of Biostatistics, South Carolina Department of Health and Environmental Control, Columbia. Sara Wilcox is with the Department of Exercise Science and the Prevention Research Center, Arnold School of Public Health, University of South Carolina, Columbia
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Damashek A, Berman A, Belachew B, Kothari C. Pilot test of a measure to assess clients' perceptions of their home visitors. Infant Ment Health J 2023; 44:117-124. [PMID: 36524446 PMCID: PMC10107848 DOI: 10.1002/imhj.22028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Accepted: 10/26/2022] [Indexed: 12/23/2022]
Abstract
Home visiting services for caregivers of infants and young children have been found to be an effective method for promoting child development. Unfortunately, such services suffer from high rates of attrition, suggesting the need to identify factors related to client retention in services. Research has indicated that the client-provider relationship is an important predictor of client retention in home visiting services; however, measures to assess this relationship are limited. This study reports on a pilot test of the Client Perceptions of Home Visitors Questionnaire, developed to assess home visiting clients' perceptions of their relationship with their home visitor. The measure was completed by 39 diverse home visiting clients during pregnancy in a midwestern town in the United States. The scale was found to have good internal consistency. Validity analyses found that the scale was positively associated with client satisfaction with services and perceived provider cultural sensitivity. The scale was also positively associated with retention in services at an 8-month follow-up. Additional research should examine the measure's psychometrics with larger samples.
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Affiliation(s)
- Amy Damashek
- Western Michigan University, Kalamazoo, Michigan, USA
| | - Ariel Berman
- Western Michigan University, Kalamazoo, Michigan, USA
| | | | - Catherine Kothari
- Western Michigan University School of Medicine, Kalamazoo, Michigan, USA
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Reconceptualizing Measures of Black–White Disparity in Infant Mortality in U.S. Counties. POPULATION RESEARCH AND POLICY REVIEW 2022. [DOI: 10.1007/s11113-022-09711-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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Farooqi AS, Jiang S, Borja AJ, Detchou DKED, Dimentberg R, Shultz K, McClintock SD, Malhotra NR. Assessment of Gender Disparities in Short-Term and Long-Term Outcomes Following Posterior Fossa Tumor Resection. Cureus 2021; 13:e20000. [PMID: 34987893 PMCID: PMC8716122 DOI: 10.7759/cureus.20000] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/24/2021] [Indexed: 11/09/2022] Open
Abstract
Introduction The analysis of social determinants of health (SDOH) across different surgical populations is critical for the identification of health disparities and the development risk mitigation strategies among vulnerable patients. Research into the impact of gender on neurosurgical outcomes remains limited. The aim of the present study was to assess the effect of gender on outcomes, in a matched sample, following posterior fossa tumor resection, a high-risk neurosurgical procedure. Methods Two hundred seventy-eight consecutive patients undergoing posterior fossa tumor resection over a six-year period (June 07, 2013, to April 29, 2019) at a single academic medical system were retrospectively evaluated. Short-term outcomes included 30- and 90-day rates of emergency department (ED) visit, readmission, reoperation, and mortality. Long-term outcomes included mortality and reoperation for the duration of follow-up. Firstly, male and female patients in the entire pre-match sample were compared. Thereafter, coarsened exact matching was employed to control for confounding variables, matching male and female patients on key demographic factors - including history of prior surgery, median household income, and race, amongst others - and outcome comparison was repeated. Results In both the entire pre-match sample and matched cohort analyses, no significant differences in adverse postsurgical events were discerned between the female and male patients when evaluating 30-day or 90-day rates of ED visit, readmission, reoperation, and mortality. There were also no differences in reoperation or mortality for the duration of follow-up. Conclusion Gender does not appear to impact short- or long-term outcomes following posterior fossa tumor resection. As such, risk assessment and mitigation strategies in this population should focus on other SDOH. Further studies should assess the role of other SDOH within this population.
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Vladutiu CJ, Mobley SC, Ji X, Thomas S, Kandasamy V, Sutherland D, Inglett S, Li R, Cox S. A Methodological Approach for Evaluating the Enterprise Community Healthy Start Program in Rural Georgia: An Analysis Using Linked PRAMS, Birth Records and Program Data. Matern Child Health J 2021; 25:1516-1525. [PMID: 34417685 PMCID: PMC10425706 DOI: 10.1007/s10995-021-03205-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/08/2021] [Indexed: 10/20/2022]
Abstract
INTRODUCTION Community Healthy Start program evaluations are often limited by a lack of robust data and rigorous study designs. This study describes an enhanced methodological approach using local program data linked with existing population-level datasets for external comparison to evaluate the Enterprise Community Healthy Start (ECHS) program in two rural Georgia counties and presents results from the evaluation. METHODS ECHS program data were linked to birth records and the Pregnancy Risk Assessment Monitoring System (PRAMS) for 869 women who delivered a live birth in Burke and McDuffie counties from 2010 to 2011. Multivariate logistic regressions with and without propensity score methods modeled the association between ECHS participation and maternal health indicators and pregnancy outcomes. RESULTS 107 ECHS participants and 726 non-participants responded to PRAMS and met eligibility criteria. Compared with non-participants, ECHS participants were younger, completed fewer years of education, and were more likely to be non-Hispanic Black, unmarried, insured with Medicaid, participating in WIC, and having an unintended pregnancy. Models with and without propensity score weighting derived similar results: there was a positive association between ECHS participation and receiving adequate or adequate plus prenatal care (p < 0.05); no statistically significant associations were observed between ECHS participation and any other health behaviors, health care access and utilization measures or pregnancy outcomes. DISCUSSION Rigorous evaluation of a local Healthy Start program using linked PRAMS and birth records with a population-based external comparison group and propensity score methods is an enhanced and feasible approach that can be applied in other local and state jurisdictions.
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Affiliation(s)
- Catherine J Vladutiu
- Office of Epidemiology and Research, Maternal and Child Health Bureau, Health Resources and Services Administration (HRSA), Rockville, MD, USA.
| | - Sandra C Mobley
- Department of Obstetrics & Gynecology (Retired), Medical College of Georgia, Augusta University, Augusta, GA, USA
| | - Xu Ji
- Department of Pediatrics, Emory University School of Medicine and Children's Healthcare of Atlanta, Atlanta, GA, USA
- Division of Reproductive Health, Centers for Disease Control and Prevention (CDC), U.S. Department of Health and Human Services, Atlanta, GA, USA
| | - Suzanne Thomas
- CSRA Nursing Associates, PC and Augusta University College of Nursing (Adjunct), Augusta, GA, USA
| | - Veni Kandasamy
- Oak Ridge Institute for Science and Education, Oak Ridge Affiliated Universities, Oak Ridge, TN, USA
| | - Don Sutherland
- Enterprise Community Healthy Start, The Perinatal Center, Augusta University, Augusta, GA, USA
| | - Sandra Inglett
- Enterprise Community Healthy Start, College of Nursing, Augusta University, Augusta, GA, USA
| | - Rui Li
- Division of Reproductive Health, Centers for Disease Control and Prevention (CDC), U.S. Department of Health and Human Services, Atlanta, GA, USA
| | - Shanna Cox
- Division of Reproductive Health, Centers for Disease Control and Prevention (CDC), U.S. Department of Health and Human Services, Atlanta, GA, USA
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Montoya-Williams D, Bright M, Martinez S, Echavarria M, Mercado R, Lorch S, Thompson L. Associations Between a Healthy Start Program Prenatal Risk Screening Tool and Adverse Birth Outcomes: A Study Using the Mother/Infant Dyad Screening Cohort. J Womens Health (Larchmt) 2020; 29:647-655. [PMID: 31895651 DOI: 10.1089/jwh.2019.7712] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Background: Florida's Healthy Start Program is a statewide prenatal screening program that aims to identify pregnant women at risk of adverse birth outcomes. However, the effectiveness of this legislatively mandated prenatal risk screening tool in predicting poor birth outcomes is unknown. This study aimed to evaluate associations between risk factors self-reported on this screening tool and adverse birth outcomes. Materials and Methods: A 1-year retrospective birth cohort at a large academic referral center was created. Risk factors reported on the tool by mothers who had a preterm or low-birthweight (LBW) infant were compared with those reported by mothers who delivered full-term non-LBW infants in bivariate and multivariate analyses. All data were extracted from maternal or infant electronic health records. Results: The Mother/Infant Dyad Screening cohort consisted of 528 dyads. We identified two items on the screening tool that significantly associated with adverse birth outcomes, but which do not currently contribute to the total risk score used to identify women for referral to preventive social services. These items were feeling alone and thinking it was not a good time to be pregnant. Conclusions: Comprehensive prenatal risk screening is an underutilized strategy in medicine. Florida's mandatory self-reported, prenatal survey can identify women at risk for poor neonatal outcomes. A more nuanced understanding how women are interpreting survey items and a re-evaluation of scoring practices may allow the tool to better serve as a model for other programs seeking to identify pregnant women at risk of poor birth outcomes.
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Affiliation(s)
- Diana Montoya-Williams
- Department of Neonatology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Melissa Bright
- Anita Zucker Center for Excellence in Early Childhood Studies, Gainesville, Florida
| | - Silvio Martinez
- College of Medicine, University of Florida, Gainesville, Florida
| | - Maria Echavarria
- Department of Pediatrics and University of Florida, Gainesville, Florida
| | - Rebeccah Mercado
- Department of Pediatrics and University of Florida, Gainesville, Florida
| | - Scott Lorch
- Department of Neonatology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Lindsay Thompson
- Department of Pediatrics and University of Florida, Gainesville, Florida.,Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, Florida
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MacQuillan E, Curtis A, Baker K, Paul R. Geospatial Analysis of Birth Records to Target Programming for Mothers With Gestational Diabetes Mellitus in Michigan, 2013. Public Health Rep 2018; 134:27-35. [PMID: 30521763 DOI: 10.1177/0033354918815183] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023] Open
Abstract
OBJECTIVES The incidence of gestational diabetes mellitus (GDM) in the United States has increased during the past several decades. The objective of this study was to use birth records and a combination of statistical and geographic information system (GIS) analyses to evaluate GDM rates among subgroups of pregnant women in Michigan. MATERIALS AND METHODS We obtained data on maternal demographic and health-related characteristics and regions of residence from 2013 Michigan birth records. We geocoded (ie, matched to maternal residence) the birth data, calculated proportions of births to women with GDM, and used logistic regression models to determine predictors of GDM. We calculated odds ratios (ORs) from the exponentiated beta statistic of the logistic regression test. We also used kernel density estimations and local indicators of spatial association (LISA) analyses to determine GDM rates in regions in the state and identify GDM hot spots (ie, areas with a high GDM rate surrounded by areas with a high GDM rate). RESULTS We successfully geocoded 104 419 of 109 168 (95.6%) births in Michigan in 2013. Of the geocoded births, 5185 (5.0%) were to mothers diagnosed with GDM. LISA maps showed a hot spot of 8 adjacent counties with high GDM rates in southwest Michigan. Of 11 064 births in the Southwest region, 829 (7.5%) were to mothers diagnosed with GDM, the highest rate in the state and a result confirmed by geospatial analyses. PRACTICE APPLICATIONS Birth data and GIS analyses may be used to measure statewide pregnancy-associated disease risk and identify populations and geographic regions in need of targeted public health and maternal-child health interventions.
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Affiliation(s)
- Elizabeth MacQuillan
- 1 Department of Allied Health Sciences, Grand Valley State University, Grand Rapids, MI, USA
| | - Amy Curtis
- 2 Health Data Research, Analysis and Mapping Center at Western Michigan University, Kalamazoo, MI, USA
| | - Kathleen Baker
- 2 Health Data Research, Analysis and Mapping Center at Western Michigan University, Kalamazoo, MI, USA
| | - Rajib Paul
- 2 Health Data Research, Analysis and Mapping Center at Western Michigan University, Kalamazoo, MI, USA
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Evaluation of the Implementation of the Healthy Start Program: Findings from the 2016 National Healthy Start Program Survey. Matern Child Health J 2018; 23:220-227. [PMID: 30353295 DOI: 10.1007/s10995-018-2640-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Abstract
Objectives The Healthy Start Program has taken a community-based approach to improving maternal and child health outcomes among underserved populations for 25 years. Although the program has been evaluated in the past, it has not undergone a national evaluation since it was transformed in 2014. The purpose of this study is to present data from an early component of the latest national evaluation-the 2016 National Healthy Start Program Survey, which includes information describing grantees, the risk profile of participants served, and the scope of services offered to meet participant needs. Methods Ninety-five grantees completed the survey, and responses are reported at the aggregate level. Study analyses are descriptive. Results Grantees reported serving a population with a high-risk profile characterized by chronic medical conditions or risk behaviors. Most grantees conduct comprehensive needs/risk assessments for participants upon program entry, yet service delivery strategies were mixed, with some differences found by geographic region. Grantees provide a core set of services to participants, including case management and health promotion/education, and tend to refer participants to community providers for services that are deemed appropriate during individual risk assessments. While most grantees have protocols in place related to these priority services, participants may not have been universally offered all services across sites. Conclusions for Practice Although grantees often highlight their facilitation of service/care coordination with existing resources, findings suggest potential areas on which to focus strategic efforts to ensure that the Healthy Start Program is successfully bridging gaps in access and utilization of services for underserved communities.
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Brown KK, Johnson C, Spainhower M, Phillips NF, Maryman J. Is Timing of Enrollment Associated with Birth Outcomes? Findings from a Healthy Start Program in Kansas. Matern Child Health J 2017; 21:25-31. [PMID: 29185123 PMCID: PMC5736773 DOI: 10.1007/s10995-017-2405-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Objective The Sedgwick County Healthy Babies Healthy Start (HBHS) program provides community-based services (including care coordination, interconception care and home visiting) aimed at reducing racial/ethnic disparities in poor birth outcomes. The purpose of this study is to assess the effectiveness of the Sedgwick County HBHS program by comparing the birth outcomes of program participants who enrolled prenatally and those who did not participate while pregnant. Methods In this retrospective cohort study, we used data drawn from the Sedgwick County HBHS program. The sample included 280 clients who were enrolled in the Sedgwick County HBHS program between September 2014 and December 2015. We performed logistic regression analyses to assess the associations between enrollee type (prenatal enrollee vs. interconceptional enrollee) and birth outcomes (low birth weight, preterm birth). Results The majority of the sample consisted of racial/ethnic minority women (32.1% non-Hispanic black, 31.8% Hispanic). After adjusting for covariates, women who enrolled in the Sedgwick County HBHS program prenatally were less likely than women who were not enrolled during pregnancy to have a preterm birth (OR 0.19, [CI 08, 0.43]) and deliver a low birth weight infant (OR 0.31, [CI 0.10, 0.97]). Conclusions for Practice Women, particularly minority women, who participate in the HBHS program experienced better birth outcomes than women who did not participate in the program during pregnancy. However, findings also suggest that interconceptional enrollees may stand to benefit from continued participation in the program.
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Affiliation(s)
- Kyrah K. Brown
- Division of Public Health Performance, Sedgwick County Health Department, 1900 E. 9th Street, Wichita, KS 67206 USA
| | - Candace Johnson
- Division of Children and Family Health, Sedgwick County Health Department, 1900 E. 9th Street, Wichita, KS 67206 USA
| | - Michele Spainhower
- Division of Children and Family Health, Sedgwick County Health Department, 1900 E. 9th Street, Wichita, KS 67206 USA
| | - Nicole Fox Phillips
- Division of Children and Family Health, Sedgwick County Health Department, 1900 E. 9th Street, Wichita, KS 67206 USA
| | - J’Vonnah Maryman
- Division of Public Health Performance, Sedgwick County Health Department, 1900 E. 9th Street, Wichita, KS 67206 USA
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Mattocks KM, Kuzdeba J, Baldor R, Casares J, Lombardini L, Gerber MR. Implementing and Evaluating a Telephone-Based Centralized Maternity Care Coordination Program for Pregnant Veterans in the Department of Veterans Affairs. Womens Health Issues 2017; 27:579-585. [PMID: 28709785 DOI: 10.1016/j.whi.2017.05.005] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2017] [Revised: 04/24/2017] [Accepted: 05/30/2017] [Indexed: 10/19/2022]
Abstract
PURPOSE The purpose of this study was to develop and evaluate a comprehensive, telephonic maternity care coordination (MCC) program for all pregnant veterans enrolled for care at New England Department of Veterans Affairs (VA) facilities that comprise the Veterans Integrated Service Network 1. RESEARCH DESIGN Telephone interviews were conducted with postpartum women veterans who had participated in the MCC program during their pregnancies. The program evaluation instrument assessed satisfaction and use of MCC services, prenatal education classes, and infant and maternal outcomes (e.g., newborn birthweight, insurance status, maternal depression) using both closed-ended and open-ended questions. RESULTS A substantial majority (95%) of women enrolled in the MCC program expressed satisfaction with the services they received in the program. Women were most satisfied with help understanding VA maternity benefits and acquiring VA services and equipment, such as breast pumps and pregnancy-related medications. More than one-third of women noted their infants had experienced health problems since delivery, including neonatal intensive care unit hospitalizations. A majority of women planned to return to VA care in the future. CONCLUSIONS Our findings suggest that MCC services play an important role for women veterans as they navigate both VA and non-VA care systems. MCC staff members coordinated maternity, medical, and mental health care services for women veterans. Additionally, by maintaining contact with the veteran during the postpartum period, MCC staff were able to assess the health of the mother and the infant, and refer women and their infants to medical and psychosocial services in the community as needed.
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Affiliation(s)
- Kristin M Mattocks
- Department of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, Massachusetts.
| | - Judy Kuzdeba
- VA Central Western Massachusetts Healthcare System, Leeds, Massachusetts
| | - Rebecca Baldor
- VA Central Western Massachusetts Healthcare System, Leeds, Massachusetts
| | - Jose Casares
- VA Central Western Massachusetts Healthcare System, Leeds, Massachusetts
| | - Lisa Lombardini
- VA Central Western Massachusetts Healthcare System, Leeds, Massachusetts
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Kothari CL, Paul R, Dormitorio B, Ospina F, James A, Lenz D, Baker K, Curtis A, Wiley J. The interplay of race, socioeconomic status and neighborhood residence upon birth outcomes in a high black infant mortality community. SSM Popul Health 2016; 2:859-867. [PMID: 29349194 PMCID: PMC5757914 DOI: 10.1016/j.ssmph.2016.09.011] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2016] [Revised: 09/26/2016] [Accepted: 09/27/2016] [Indexed: 11/23/2022] Open
Abstract
This study examined the interrelationship of race and socioeconomic status (SES) upon infant birthweight at the individual and neighborhood levels within a Midwestern US county marked by high Black infant mortality. The study conducted a multi-level analysis utilizing individual birth records and census tract datasets from 2010, linked through a spatial join with ArcGIS 10.0. The maternal population of 2861 Black and White women delivering infants in 2010, residing in 57 census tracts within the county, constituted the study samples. The main outcome was infant birthweight. The predictors, race and SES were dichotomized into Black and White, low-SES and higher-SES, at both the individual and census tract levels. A two-part Bayesian model demonstrated that individual-level race and SES were more influential birthweight predictors than community-level factors. Specifically, Black women had 1.6 higher odds of delivering a low birthweight (LBW) infant than White women, and low-SES women had 1.7 higher odds of delivering a LBW infant than higher-SES women. Moderate support was found for a three-way interaction between individual-level race, SES and community-level race, such that Black women achieved equity with White women (4.0% Black LBW and 4.1% White LBW) when they each had higher-SES and lived in a racially congruous neighborhood (e.g., Black women lived in disproportionately Black neighborhood and White women lived in disproportionately White neighborhood). In sharp contrast, Black women with higher-SES who lived in a racially incongruous neighborhood (e.g., disproportionately White) had the worst outcomes (14.5% LBW). Demonstrating the layered influence of personal and community circumstances upon health, in a community with substantial racial disparities, personal race and SES independently contribute to birth outcomes, while environmental context, specifically neighborhood racial congruity, is associated with mitigated health risk.
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Affiliation(s)
- Catherine L. Kothari
- Western Michigan University Homer Stryker M.D. School of Medicine, 1000 Oakland Drive, Kalamazoo, MI 49008, USA
| | - Rajib Paul
- Department of Statistics, Western Michigan University, 1903 West Michigan Avenue, Kalamazoo, MI 49008, USA
| | - Ben Dormitorio
- PAREXEL International, 1 Federal Street, Billerica, MA 01821, USA
| | - Fernando Ospina
- Eliminating Racism and Claiming/Celebrating Equality, 1213 Blakeslee Street, Kalamazoo, MI 49006, USA
| | - Arthur James
- Department of Obstetrics and Gynecology, Ohio State University, 395 West 12th Avenue, Columbus, OH 43210, USA
| | - Deb Lenz
- Maternal-Child Health Division, Kalamazoo County Health & Community Services, 3299 Gull Road, Kalamazoo, MI 49048, USA
| | - Kathleen Baker
- Department of Geography, Western Michigan University, 1903 West Michigan Avenue, Kalamazoo, MI 49008, USA
| | - Amy Curtis
- Program in Interdisciplinary Health Sciences, Western Michigan University, 1903 West Michigan Avenue, Kalamazoo, MI 49008, USA
| | - James Wiley
- Institute for Health Policy Studies, School of Medicine, University of California San Francisco, 533 Parnassus Avenue, San Francisco, CA 94143, USA
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13
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Taylor LA, Tan AX, Coyle CE, Ndumele C, Rogan E, Canavan M, Curry LA, Bradley EH. Leveraging the Social Determinants of Health: What Works? PLoS One 2016; 11:e0160217. [PMID: 27532336 PMCID: PMC4988629 DOI: 10.1371/journal.pone.0160217] [Citation(s) in RCA: 226] [Impact Index Per Article: 25.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2016] [Accepted: 07/16/2016] [Indexed: 12/29/2022] Open
Abstract
We summarized the recently published, peer-reviewed literature that examined the impact of investments in social services or investments in integrated models of health care and social services on health outcomes and health care spending. Of 39 articles that met criteria for inclusion in the review, 32 (82%) reported some significant positive effects on either health outcomes (N = 20), health care costs (N = 5), or both (N = 7). Of the remaining 7 (18%) studies, 3 had non-significant results, 2 had mixed results, and 2 had negative results in which the interventions were associated with poorer health outcomes. Our analysis of the literature indicates that several interventions in the areas of housing, income support, nutrition support, and care coordination and community outreach have had positive impact in terms of health improvements or health care spending reductions. These interventions may be of interest to health care policymakers and practitioners seeking to leverage social services to improve health or reduce costs. Further testing of models that achieve better outcomes at less cost is needed.
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Affiliation(s)
- Lauren A. Taylor
- Department of Health Policy and Management, Harvard Business School, Boston, Massachusetts, United States of America
| | - Annabel Xulin Tan
- Department of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut, United States of America
| | - Caitlin E. Coyle
- Department of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut, United States of America
| | - Chima Ndumele
- Department of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut, United States of America
| | - Erika Rogan
- Department of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut, United States of America
| | - Maureen Canavan
- Department of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut, United States of America
| | - Leslie A. Curry
- Department of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut, United States of America
| | - Elizabeth H. Bradley
- Department of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut, United States of America
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14
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Casillas KL, Fauchier A, Derkash BT, Garrido EF. Implementation of evidence-based home visiting programs aimed at reducing child maltreatment: A meta-analytic review. CHILD ABUSE & NEGLECT 2016; 53:64-80. [PMID: 26724823 DOI: 10.1016/j.chiabu.2015.10.009] [Citation(s) in RCA: 82] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2015] [Accepted: 10/05/2015] [Indexed: 06/05/2023]
Abstract
In recent years there has been an increase in the popularity of home visitation programs as a means of addressing risk factors for child maltreatment. The evidence supporting the effectiveness of these programs from several meta-analyses, however, is mixed. One potential explanation for this inconsistency explored in the current study involves the manner in which these programs were implemented. In the current study we reviewed 156 studies associated with 9 different home visitation program models targeted to caregivers of children between the ages of 0 and 5. Meta-analytic techniques were used to determine the impact of 18 implementation factors (e.g., staff selection, training, supervision, fidelity monitoring, etc.) and four study characteristics (publication type, target population, study design, comparison group) in predicting program outcomes. Results from analyses revealed that several implementation factors, including training, supervision, and fidelity monitoring, had a significant effect on program outcomes, particularly child maltreatment outcomes. Study characteristics, including the program's target population and the comparison group employed, also had a significant effect on program outcomes. Implications of the study's results for those interested in implementing home visitation programs are discussed. A careful consideration and monitoring of program implementation is advised as a means of achieving optimal study results.
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Affiliation(s)
- Katherine L Casillas
- Kempe Center for the Prevention and Treatment of Child Abuse and Neglect, University of Colorado School of Medicine, USA
| | - Angèle Fauchier
- Kempe Center for the Prevention and Treatment of Child Abuse and Neglect, University of Colorado School of Medicine, USA
| | - Bridget T Derkash
- Kempe Center for the Prevention and Treatment of Child Abuse and Neglect, University of Colorado School of Medicine, USA
| | - Edward F Garrido
- Kempe Center for the Prevention and Treatment of Child Abuse and Neglect, University of Colorado School of Medicine, USA
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15
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Improving Pregnancy Outcomes through Maternity Care Coordination: A Systematic Review. Womens Health Issues 2016; 26:87-99. [DOI: 10.1016/j.whi.2015.10.003] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2015] [Revised: 10/07/2015] [Accepted: 10/09/2015] [Indexed: 12/21/2022]
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