Literature DB >> 33585802

Provider Perspectives on Integrating Sensor-Captured Patient-Generated Data in Mental Health Care.

Ada Ng1, Rachel Kornfield1, Stephen M Schueller2, Alyson K Zalta3, Michael Brennan4, Madhu Reddy1.   

Abstract

The increasing ubiquity of health sensing technology holds promise to enable patients and health care providers to make more informed decisions based on continuously-captured data. The use of sensor-captured patient-generated data (sPGD) has been gaining greater prominence in the assessment of physical health, but we have little understanding of the role that sPGD can play in mental health. To better understand the use of sPGD in mental health, we interviewed care providers in an intensive treatment program (ITP) for veterans with post-traumatic stress disorder. In this program, patients were given Fitbits for their own voluntary use. Providers identified a number of potential benefits from patients' Fitbit use, such as patient empowerment and opportunities to reinforce therapeutic progress through collaborative data review and interpretation. However, despite the promise of sensor data as offering an "objective" view into patients' health behavior and symptoms, the relationships between sPGD and therapeutic progress are often ambiguous. Given substantial subjectivity involved in interpreting data from commercial wearables in the context of mental health treatment, providers emphasized potential risks to their patients and were uncertain how to adjust their practice to effectively guide collaborative use of the FitBit and its sPGD. We discuss the implications of these findings for designing systems to leverage sPGD in mental health care.

Entities:  

Keywords:  Applied Computing~Consumer health; Applied Computing~Health care information systems; Human-centered computing~Empirical studies in HCI; mental health; patient-generated data; post-traumatic stress disorder; sensors; wearables

Year:  2019        PMID: 33585802      PMCID: PMC7877802          DOI: 10.1145/3359217

Source DB:  PubMed          Journal:  Proc ACM Hum Comput Interact


  69 in total

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Journal:  Arch Gen Psychiatry       Date:  2005-06

2.  Drawing on human factors engineering to evaluate the effectiveness of health information technology.

Authors:  Kathrin M Cresswell; Ann Blandford; Aziz Sheikh
Journal:  J R Soc Med       Date:  2017-05-24       Impact factor: 5.344

Review 3.  Interventions to improve veterans' access to care: a systematic review of the literature.

Authors:  Shannon M Kehle; Nancy Greer; Indulis Rutks; Timothy Wilt
Journal:  J Gen Intern Med       Date:  2011-11       Impact factor: 5.128

4.  Self-tracking for Mental Wellness: Understanding Expert Perspectives and Student Experiences.

Authors:  Christina Kelley; Bongshin Lee; Lauren Wilcox
Journal:  Proc SIGCHI Conf Hum Factor Comput Syst       Date:  2017-05-02

5.  Measurement-based care in psychiatric practice: a policy framework for implementation.

Authors:  Kelli Jane K Harding; A John Rush; Melissa Arbuckle; Madhukar H Trivedi; Harold Alan Pincus
Journal:  J Clin Psychiatry       Date:  2011-01-11       Impact factor: 4.384

6.  An intensive treatment program of interpersonal psychotherapy plus pharmacotherapy for depressed inpatients: acute and long-term results.

Authors:  Elisabeth Schramm; Dietrich van Calker; Petra Dykierek; Klaus Lieb; Sabine Kech; Ingo Zobel; Rainer Leonhart; Mathias Berger
Journal:  Am J Psychiatry       Date:  2007-05       Impact factor: 18.112

7.  Impairment in role functioning in mental and chronic medical disorders in the United States: results from the National Comorbidity Survey Replication.

Authors:  B G Druss; I Hwang; M Petukhova; N A Sampson; P S Wang; R C Kessler
Journal:  Mol Psychiatry       Date:  2008-02-19       Impact factor: 15.992

8.  Yoga as an adjunctive treatment for posttraumatic stress disorder: a randomized controlled trial.

Authors:  Bessel A van der Kolk; Laura Stone; Jennifer West; Alison Rhodes; David Emerson; Michael Suvak; Joseph Spinazzola
Journal:  J Clin Psychiatry       Date:  2014-06       Impact factor: 4.384

9.  Effectiveness of a Smartphone application and wearable device for weight loss in overweight or obese primary care patients: protocol for a randomised controlled trial.

Authors:  Esther Granado-Font; Gemma Flores-Mateo; Mar Sorlí-Aguilar; Xavier Montaña-Carreras; Carme Ferre-Grau; Maria-Luisa Barrera-Uriarte; Eulàlia Oriol-Colominas; Cristina Rey-Reñones; Iolanda Caules; Eva-María Satué-Gracia
Journal:  BMC Public Health       Date:  2015-06-04       Impact factor: 3.295

10.  The relationship between mobile phone location sensor data and depressive symptom severity.

Authors:  Sohrab Saeb; Emily G Lattie; Stephen M Schueller; Konrad P Kording; David C Mohr
Journal:  PeerJ       Date:  2016-09-29       Impact factor: 2.984

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  3 in total

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Authors:  Rachel Kornfield; Jonah Meyerhoff; Hannah Studd; Ananya Bhattacharjee; Joseph J Williams; Madhu Reddy; David C Mohr
Journal:  Proc SIGCHI Conf Hum Factor Comput Syst       Date:  2022-04-29

2.  Veteran and Staff Experience from a Pilot Program of Health Care System-Distributed Wearable Devices and Data Sharing.

Authors:  Jason J Saleem; Nancy R Wilck; John J Murphy; Jennifer Herout
Journal:  Appl Clin Inform       Date:  2022-05-25       Impact factor: 2.762

3.  Using Real-world Data for Decision Support: Recommendations from a Primary Care Provider Survey.

Authors:  Patricia A Areán; Emily C Friedman; Abhishek Pratap; Ryan Allred; Jaden Duffy; Sara Gille; Shelley Reetz; Erin Keast; Gregory Clarke
Journal:  Perm J       Date:  2021-05
  3 in total

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