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Mobile Health School Screening and Telemedicine Referral to Improve Access to Specialty Care in Rural Alaska: Integrating Mixed Methods Data to Contextualize Trial Outcomes.
Robler, Samantha Kleindienst; Inglis-Jenson, Meade; Gallo, Joseph J; Ivanoff, Paul; Ryan, Stephanie; Hofstetter, Philip; Emmett, Susan D.
Afiliação
  • Robler SK; Norton Sound Health Corporation, Nome, Alaska, USA.
  • Inglis-Jenson M; Center for Hearing Health Equity, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA.
  • Gallo JJ; Department of Otolaryngology-Head and Neck Surgery, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA.
  • Ivanoff P; These authors are co-first authors who contributed equally to this work.
  • Ryan S; Norton Sound Health Corporation, Nome, Alaska, USA.
  • Hofstetter P; Center for Hearing Health Equity, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA.
  • Emmett SD; Center for Health Policy and Inequalities Research, Duke University, Durham, North Carolina, USA.
Ear Hear ; 44(5): 1271-1281, 2023.
Article em En | MEDLINE | ID: mdl-37594255
ABSTRACT

OBJECTIVES:

To understand factors associated with outcomes in a cluster-randomized controlled trial that evaluated a telemedicine specialty referral intervention for school hearing screenings in 15 rural Alaskan communities.

DESIGN:

Hearing Norton Sound was a mixed methods cluster-randomized controlled trial that compared a telemedicine specialty referral pathway (intervention) to a standard primary care referral pathway (control) for school hearing screenings. As a mixed methods trial, both quantitative and qualitative data were collected, analyzed, and integrated. Main trial results are published elsewhere, but integration of community-specific quantitative outcomes and qualitative results have not yet been reported. The constant comparative method was used to analyze qualitative data from semistructured interviews with six stakeholder groups across all 15 communities. Descriptive statistics were used to describe community-specific proportions of follow-up in both trial years. Qualitative and quantitative results were integrated to reveal relationships between contextual factors and follow-up outcomes across communities.

RESULTS:

The Hearing Norton Sound trial enrolled 1481 children from October 2017 to March 2019, with a total of 790 children requiring referral. Of the children who referred in the telemedicine specialty referral pathway communities (intervention), 68.5% received follow-up (268/391), compared to 32.1% (128/399) in primary care referral communities (control)(previously reported). When broken down by community, the mean proportion receiving follow-up was 75.26% (SD 22.5) and 37.9% (SD 11.4) for the telemedicine specialty referral communities and primary care referral communities, respectively. For qualitative data collection, semistructured interviews were conducted with 101 individuals between December 2018 and August 2019. Six stakeholder groups participated elders (n = 14), parents (n = 25), children (n = 11), teachers/school staff (n = 18), principals (n = 6), and healthcare providers/clinic staff (n = 27). Six overall factors related to the outcomes of the telemedicine specialty referral pathway emerged during

analysis:

clinic capacity, personnel ownership and engagement, scheduling, telemedicine equipment/processes, communication, and awareness of the need for follow-up. We integrated these factors with the community-specific follow-up percentages and found associations for four of the six qualitative factors clinic capacity, personnel ownership and engagement, communication, and awareness. An association was not seen for scheduling and telemedicine equipment/processes, which had variable relationships with the follow-up outcome.

CONCLUSIONS:

The Hearing Norton Sound trial demonstrated that a telemedicine specialty referral pathway can close the gap on children lost to follow up after school hearing screening. As a whole, the intervention profoundly increased the proportion of children receiving follow-up, but there was variability in outcomes within and between communities. To understand this variability, we analyzed community-specific intervention outcomes alongside community member feedback on factors related to the intervention. We identified four key factors that contributed to the success of the intervention. Attention to these factors will be essential to successful adaptation and implementation of this telemedicine specialty referral intervention and other similar interventions in future work in rural Alaska and beyond.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Serviços de Saúde Escolar / Telemedicina Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Serviços de Saúde Escolar / Telemedicina Idioma: En Ano de publicação: 2023 Tipo de documento: Article