The feasibility and promise of mobile technology with community health worker reinforcement to reduce rural preterm birth

Research output: Contribution to journalArticle

Abstract

Objectives: (1) Assess feasibility of a smartphone platform intervention combined with Community Health Worker (CHW) reinforcement in rural pregnant women; (2) Obtain data on the promise of the intervention on birth outcomes, patient activation, and medical care adherence; and (3) Explore financial implications of the intervention using return on investment (ROI). Sample: A total of 98 rural pregnant women were enrolled and assigned to intervention or control groups in this two-group experimental design. Intervention: The intervention group received usual prenatal care plus a smartphone preloaded with a tailored prenatal platform with automated texting, chat function, and hyperlinks and weekly contact from the CHW. The control group received usual prenatal care and printed educational materials. Measurements: Demographics, health risk data, interaction with platform, medical records, hospital billing charges, Client Satisfaction Questionnaire-8, satisfaction comments, and the Patient Activation Measure. Results: A total of 77 women completed the study. The intervention was well-received, showed promise for improving birth outcomes, patient activation, and medical care adherence. Financial analysis showed a positive ROI under two scenarios. Conclusions: Despite several practical issues, the study appears feasible. The intervention shows promise for extending prenatal care and improving birth outcomes in rural communities. Further research is needed with a larger and more at-risk population to appreciate the impact of the intervention.

Original languageEnglish (US)
Pages (from-to)508-516
Number of pages9
JournalPublic Health Nursing
Volume35
Issue number6
DOIs
StatePublished - Nov 1 2018

Fingerprint

Patient Participation
Prenatal Care
Premature Birth
Parturition
Technology
Pregnant Women
Text Messaging
Hospital Charges
Control Groups
Rural Population
Medical Records
Research Design
Demography
Health
Research
Reinforcement (Psychology)
Smartphone

Keywords

  • community health workers
  • community-based participatory research
  • implementation science
  • mobile technology
  • premature birth
  • prenatal care
  • rural health
  • smartphone
  • text messaging

ASJC Scopus subject areas

  • Nursing(all)
  • Public Health, Environmental and Occupational Health

Cite this

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title = "The feasibility and promise of mobile technology with community health worker reinforcement to reduce rural preterm birth",
abstract = "Objectives: (1) Assess feasibility of a smartphone platform intervention combined with Community Health Worker (CHW) reinforcement in rural pregnant women; (2) Obtain data on the promise of the intervention on birth outcomes, patient activation, and medical care adherence; and (3) Explore financial implications of the intervention using return on investment (ROI). Sample: A total of 98 rural pregnant women were enrolled and assigned to intervention or control groups in this two-group experimental design. Intervention: The intervention group received usual prenatal care plus a smartphone preloaded with a tailored prenatal platform with automated texting, chat function, and hyperlinks and weekly contact from the CHW. The control group received usual prenatal care and printed educational materials. Measurements: Demographics, health risk data, interaction with platform, medical records, hospital billing charges, Client Satisfaction Questionnaire-8, satisfaction comments, and the Patient Activation Measure. Results: A total of 77 women completed the study. The intervention was well-received, showed promise for improving birth outcomes, patient activation, and medical care adherence. Financial analysis showed a positive ROI under two scenarios. Conclusions: Despite several practical issues, the study appears feasible. The intervention shows promise for extending prenatal care and improving birth outcomes in rural communities. Further research is needed with a larger and more at-risk population to appreciate the impact of the intervention.",
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