Evidence map›Paper›PMID 32320039›Full record

ArticleTranslational behavioral medicine2021

Behavior science in the evolving world of digital health: considerations on anticipated opportunities and challenges.

Madalina Sucala, Heather Cole-Lewis, Danielle Arigo, Megan Oser, Stephanie Goldstein, Eric B Hekler, Michael A Diefenbach

Abstract read
In one paragraph

Article in Translational behavioral medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Development and refinement of a novel end-of-life planning website for patients with advanced cancer: a mixed methods approach.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2023
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Riding the Wave of Digital Transformation in Behavioral Medicine.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2020
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Madalina SucalaHealth and Wellness Solutions, Johnson and Johnson Inc., New Brunswick, NJ, USA.
Heather Cole-LewisHealth and Wellness Solutions, Johnson and Johnson Inc., New Brunswick, NJ, USA.
Danielle ArigoDepartment of Psychology, Rowan University, Glassboro, NJ, USA.
Megan OserMahana Therapeutics, San Francisco, CA, USA.
Stephanie GoldsteinDepartment of Psychiatry and Human Behavior, The Warren Alpert Medical School of Brown University and The Miriam Hospital/Weight Control and Diabetes Research Center, Providence, RI, USA.
Eric B HeklerDepartment of Family Medicine and Public Health, University of California, San Diego (UCSD), Center for Wireless and Population Health Systems, Qualcomm Institute at UCSD, San Diego, CA, USA.
Michael A DiefenbachDepartments of Medicine and Urology, Northwell Health and the School of Medicine at Hofstra/Northwell, East Garden City, NY, USA.

Funding

Identifying and Targeting Unique Physical Activity Determinants for Midlife WomenK23HL136657 · NHLBI · UNIVERSITY OF SCRANTON · PI ARIGO, DANIELLE · 2018 to 2022
$762k
Applying Novel Passive Sensing Technology to Target Adherence to Diet in Behavioral Obesity Treatment for Patients with Cardiovascular Disease RiskF32HL143954 · NHLBI · MIRIAM HOSPITAL · PI GOLDSTEIN, STEPHANIE PAIGE · 2018 to 2019
$119k
NHLBI NIH HHS F32 HL143954NHLBI NIH HHS K23 HL136657
6 · The paper itself

Abstract

Digital health promises to increase intervention reach and effectiveness for a range of behavioral health outcomes. Behavioral scientists have a unique opportunity to infuse their expertise in all phases of a digital health intervention, from design to implementation. The aim of this study was to assess behavioral scientists' interests and needs with respect to digital health endeavors, as well as gather expert insight into the role of behavioral science in the evolution of digital health. The study used a two-phased approach: (a) a survey of behavioral scientists' current needs and interests with respect to digital health endeavors (n = 346); (b) a series of interviews with digital health stakeholders for their expert insight on the evolution of the health field (n = 15). In terms of current needs and interests, the large majority of surveyed behavioral scientists (77%) already participate in digital health projects, and from those who have not done so yet, the majority (65%) reported intending to do so in the future. In terms of the expected evolution of the digital health field, interviewed stakeholders anticipated a number of changes, from overall landscape changes through evolving models of reimbursement to more significant oversight and regulations. These findings provide a timely insight into behavioral scientists' current needs, barriers, and attitudes toward the use of technology in health care and public health. Results might also highlight the areas where behavioral scientists can leverage their expertise to both enhance digital health's potential to improve health, as well as to prevent the potential unintended consequences that can emerge from scaling the use of technology in health care.

Indexed as

Behavioral SciencesAttitudeDelivery of Health CareHumansPublic HealthSurveys and QuestionnairesBehavioral medicineBehavioral scienceDigital healthTechnology

Identifiers

PMID32320039
PMCPMC7963278

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.