Literature DB >> 27565048

US and territory telemedicine policies: identifying gaps in perinatal care.

Ekwutosi M Okoroh1, Charlan D Kroelinger2, Alexander M Smith2, David A Goodman2, Wanda D Barfield2.   

Abstract

BACKGROUND: Perinatal regionalization is a system of maternal and neonatal risk-appropriate health care delivery in which resources are ideally allocated for mothers and newborns during pregnancy, labor and delivery, and postpartum, in order to deliver appropriate care. Typically, perinatal risk-appropriate care is provided in-person, but with the advancement of technologies, the opportunity to provide care remotely has emerged. Telemedicine provides distance-based care to patients by consultation, diagnosis, and treatment in rural or remote US jurisdictions (states and territories).
OBJECTIVE: We sought to summarize the telemedicine policies of states and territories and assess if maternal and neonatal risk-appropriate care is specified. STUDY
DESIGN: We conducted a 2014 systematic World Wide Web-based review of publicly available rules, statutes, regulations, laws, planning documents, and program descriptions among US jurisdictions (N = 59) on telemedicine care. Policies including language on the topics of consultation, diagnosis, or treatment, and those specific to maternal and neonatal risk-appropriate care were categorized for analysis.
RESULTS: Overall, 36 jurisdictions (32 states; 3 territories; and District of Columbia) (61%) had telemedicine policies with language referencing consultation, diagnosis, or treatment; 29 (49%) referenced consultation, 30 (51%) referenced diagnosis, and 35 (59%) referenced treatment. In all, 26 jurisdictions (22 states; 3 territories; and District of Columbia) (44%), referenced all topics. Only 3 jurisdictions (3 states; 0 territories) (5%), had policy language specifically addressing perinatal care.
CONCLUSION: The majority of states have published telemedicine policies, but few specify policy language for perinatal risk-appropriate care. By ensuring that language specific to the perinatal population is included in telemedicine policies, access to maternal and neonatal care can be increased in rural, remote, and resource-challenged jurisdictions. Published by Elsevier Inc.

Entities:  

Keywords:  maternal; neonate; perinatal regionalization; policy; risk-appropriate care; telemedicine

Mesh:

Year:  2016        PMID: 27565048      PMCID: PMC5206488          DOI: 10.1016/j.ajog.2016.08.020

Source DB:  PubMed          Journal:  Am J Obstet Gynecol        ISSN: 0002-9378            Impact factor:   8.661


  20 in total

1.  Toward improving the outcome of pregnancy Recommendations for the regional development of perinatal health services.

Authors:  G M Ryan
Journal:  Obstet Gynecol       Date:  1975-10       Impact factor: 7.661

Review 2.  What is telemedicine? A collection of 104 peer-reviewed perspectives and theoretical underpinnings.

Authors:  Sanjay Sood; Victor Mbarika; Shakhina Jugoo; Reena Dookhy; Charles R Doarn; Nupur Prakash; Ronald C Merrell
Journal:  Telemed J E Health       Date:  2007-10       Impact factor: 3.536

3.  ANGELS and University of Arkansas for Medical Sciences paradigm for distant obstetrical care delivery.

Authors:  Curtis Lowery; Janet Bronstein; Judith McGhee; Rachel Ott; E Albert Reece; Glen P Mays
Journal:  Am J Obstet Gynecol       Date:  2007-06       Impact factor: 8.661

4.  Use of specialty OB consults during high-risk pregnancies in a Medicaid-covered population: initial impact of the Arkansas ANGELS intervention.

Authors:  Janet M Bronstein; Songthip Ounpraseuth; Jeffrey Jonkman; David Fletcher; Richard R Nugent; Judith McGhee; Curtis L Lowery
Journal:  Med Care Res Rev       Date:  2012-09-04       Impact factor: 3.929

5.  ACOG Committee Opinion No. 586: Health disparities in rural women.

Authors: 
Journal:  Obstet Gynecol       Date:  2014-02       Impact factor: 7.661

Review 6.  Telemedicine for the care of children in the hospital setting.

Authors:  S David McSwain; James P Marcin
Journal:  Pediatr Ann       Date:  2014-02       Impact factor: 1.132

7.  Ultrasound in telemedicine: its impact in high-risk obstetric health care delivery.

Authors:  Megan Chang Long; Teresita Angtuaco; Curtis Lowery
Journal:  Ultrasound Q       Date:  2014-09       Impact factor: 1.657

8.  The outcomes of gestational diabetes mellitus after a telecare approach are not inferior to traditional outpatient clinic visits.

Authors:  Natalia Pérez-Ferre; Mercedes Galindo; M Dolores Fernández; Victoria Velasco; Isabelle Runkle; M José de la Cruz; Patricia Martín Rojas-Marcos; Laura Del Valle; Alfonso L Calle-Pascual
Journal:  Int J Endocrinol       Date:  2010-06-10       Impact factor: 3.257

9.  Maternal response to high-risk obstetric telemedicine consults when perinatal prognosis is poor.

Authors:  Stephanie N Wyatt; Sarah J Rhoads; Angela L Green; Rachel E Ott; Adam T Sandlin; Everett F Magann
Journal:  Aust N Z J Obstet Gynaecol       Date:  2013-05-02       Impact factor: 2.100

10.  Wide-field digital imaging based telemedicine for screening for acute retinopathy of prematurity (ROP). Six-year results of a multicentre field study.

Authors:  Birgit Lorenz; Katerina Spasovska; Heike Elflein; Nico Schneider
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2009-05-22       Impact factor: 3.117

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  3 in total

1.  Comparison of state risk-appropriate neonatal care policies with the 2012 AAP policy statement.

Authors:  Charlan D Kroelinger; Ekwutosi M Okoroh; David A Goodman; Sarah M Lasswell; Wanda D Barfield
Journal:  J Perinatol       Date:  2017-12-05       Impact factor: 2.521

2.  Seven years later: state neonatal risk-appropriate care policy consistency with the 2012 American Academy of Pediatrics Policy.

Authors:  Charlan D Kroelinger; Marion E Rice; Ekwutosi M Okoroh; Carla L DeSisto; Wanda D Barfield
Journal:  J Perinatol       Date:  2021-07-12       Impact factor: 3.225

3.  Role of Usual Healthcare Combined with Telemedicine in the Management of High-Risk Pregnancy in Hangzhou, China.

Authors:  Xu-Hong Zhu; Jing Tao; Li-Yuan Jiang; Zhi-Feng Zhang
Journal:  J Healthc Eng       Date:  2019-05-06       Impact factor: 2.682

  3 in total

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