Literature DB >> 26040018

Mobile health and patient engagement in the safety net: a survey of community health centers and clinics.

Andrew Broderick1, Farshid Haque.   

Abstract

Patient-centered technologies have emerged as a way to actively engage patients in care. The reach and potential of cell phones to engage diverse patient populations is great. Evidence of their effectiveness in improving health-related outcomes is limited. Researchers conducted an online survey of community health centers and clinics to assess if and how health care providers in the safety net use cell phones to support patient engagement. The findings indicate that the use of cell phones in patient care is at an early stage of deployment across the safety net. Organizations identify chronic disease management as an area where cell phones offer considerable potential to effectively engage patients. To promote widespread adoption and use, technical assistance to support the implementation and management of interventions, evidence-based or best practice models that highlight successful implementation strategies in care delivery, and the introduction of new payment or reimbursement policies will be essential.

Entities:  

Mesh:

Year:  2015        PMID: 26040018

Source DB:  PubMed          Journal:  Issue Brief (Commonw Fund)        ISSN: 1558-6847


  25 in total

Review 1.  Mobile Phone and Smartphone Technologies for Diabetes Care and Self-Management.

Authors:  Laura F Garabedian; Dennis Ross-Degnan; J Frank Wharam
Journal:  Curr Diab Rep       Date:  2015-12       Impact factor: 4.810

2.  Improving patient health engagement with mobile texting: A pilot study in the head and neck postoperative setting.

Authors:  Alan Sosa; Nathan Heineman; Kimberly Thomas; Kai Tang; Marie Feinstein; Michelle Y Martin; Baran Sumer; David L Schwartz
Journal:  Head Neck       Date:  2017-03-06       Impact factor: 3.147

3.  Primary Care Patients' and Providers' Perspectives about an Online Weight Management Program: a Qualitative Study.

Authors:  Ronen Rozenblum; Barbara A De La Cruz; Nyryan V Nolido; Ihorma Adighibe; Kristina Secinaro; Katherine D McManus; Florencia Halperin; Jason P Block; David W Bates; Heather J Baer
Journal:  J Gen Intern Med       Date:  2019-05-31       Impact factor: 5.128

4.  Perspectives on implementing mobile health technology for living kidney donor follow-up: In-depth interviews with transplant providers.

Authors:  Ann K Eno; Jessica M Ruck; Sarah E Van Pilsum Rasmussen; Madeleine M Waldram; Alvin G Thomas; Tanjala S Purnell; Jacqueline M Garonzik Wang; Allan B Massie; Fawaz Al Almmary; Lisa M Cooper; Dorry L Segev; Michael A Levan; Macey L Henderson
Journal:  Clin Transplant       Date:  2019-07-01       Impact factor: 2.863

5.  Using data visualization to detect patterns in whole-person health data.

Authors:  Robin R Austin; Michelle A Mathiason; Karen A Monsen
Journal:  Res Nurs Health       Date:  2022-06-19       Impact factor: 2.238

6.  Mobile Health Technology Knowledge and Practices Among Patients of Safety-Net Health Systems in Washington State and Washington, DC.

Authors:  Sharon S Laing; Muhammad Alsayid; Carlota Ocampo; Stacey Baugh
Journal:  J Patient Cent Res Rev       Date:  2018-07-30

7.  Using Health Information Technology to Reach Patients in Underserved Communities: A Pilot Study to Help Close the Gap With Health Disparities.

Authors:  Mark H Ryan; Jonathan Yoder; Sharon K Flores; Jason Soh; Allison A Vanderbilt
Journal:  Glob J Health Sci       Date:  2015-10-20

8.  A randomized clinical trial of an interactive voice response and text message intervention for individuals with hypertension.

Authors:  Emily B Schroeder; Kelly R Moore; Spero M Manson; Megan A Baldwin; Glenn K Goodrich; Allen S Malone; Lisa E Pieper; Stanley Xu; Meredith P Fort; Linda Son-Stone; David Johnson; John F Steiner
Journal:  J Clin Hypertens (Greenwich)       Date:  2020-06-09       Impact factor: 3.738

9.  Mobile-Based and Cloud-Based System for Self-management of People With Type 2 Diabetes: Development and Usability Evaluation.

Authors:  Raheleh Salari; Sharareh R Niakan Kalhori; Marjan GhaziSaeedi; Marjan Jeddi; Mahin Nazari; Farhad Fatehi
Journal:  J Med Internet Res       Date:  2021-06-02       Impact factor: 5.428

10.  Enablers and inhibitors of the implementation of the Casalud Model, a Mexican innovative healthcare model for non-communicable disease prevention and control.

Authors:  Roberto Tapia-Conyer; Rodrigo Saucedo-Martinez; Ricardo Mujica-Rosales; Hector Gallardo-Rincon; Paola Abril Campos-Rivera; Evan Lee; Craig Waugh; Lucia Guajardo; Braulio Torres-Beltran; Ursula Quijano-Gonzalez; Lidia Soni-Gallardo
Journal:  Health Res Policy Syst       Date:  2016-07-22
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