Literature DB >> 33559067

Impact of Pre-visit Contextual Data Collection on Patient-Physician Communication and Patient Activation: a Randomized Trial.

Jeana M Holt1, Rachel Cusatis2, Aaron Winn3, Onur Asan4, Charles Spanbauer2, Joni S Williams2, Kathryn E Flynn2, Melek Somai2, AkkeNeel Talsma5, Purushottam Laud2, Gregory Makoul6, Bradley H Crotty2.   

Abstract

BACKGROUND: Patient contextual data (PCD) are often missing from electronic health records, limiting the opportunity to incorporate preferences and life circumstances into care. Engaging patients through tools that collect and summarize such data may improve communication and patient activation. However, differential tool adoption by race might widen health care disparities.
OBJECTIVE: Determine if a digital tool designed to collect and present PCD improves communication and patient activation; secondarily, evaluate if use impacts outcomes by race. DESIGN, SETTING, AND PARTICIPANTS: A pragmatic, two-armed, non-blinded, randomized controlled trial conducted during 2019 in a primary care setting. INTERVENTION: The PCD tool (PatientWisdom) invited patients to identify preferences, values, goals, and barriers to care. Patients were randomized to a standard pre-visit email or facilitated enrollment with dedicated outreach to encourage use of the tool. MAIN OUTCOMES AND MEASURES: Outcomes of interest were post-visit patient communication and patient activation measured by the Communication Assessment Tool (CAT) and Patient Activation Measure (PAM), respectively. Outcomes were evaluated using treatment-on-the-treated (TOT) and intention-to-treat (ITT) principles. KEY
RESULTS: A total of 301 patients were enrolled. Facilitated enrollment resulted in a five-fold increase in uptake of the PCD tool. TOT analysis indicated that the PCD tool was associated with notable increases in specific CAT items rated as excellent: "treated me with respect" (+ 13 percentage points; p = 0.04), "showed interest in my ideas" (+ 14 percentage points; p = 0.03), "showed care and concern" (+ 16 percentage points; p = 0.02), and "spent about the right amount of time with me" (+ 11 percentage points; p = 0.05). There were no significant pre/post-visit differences in PAM scores between arms (- 4.41 percentage points; p = 0.58). ITT results were similar. We saw no evidence of the treatment effect varying by race in ITT or TOT analyses. CONCLUSIONS AND RELEVANCE: The inclusion of PCD enhanced essential aspects of patient-provider communication but did not affect patient activation. Outcomes did not differ by race. TRIAL REGISTRATION: Clincaltrials.gov identifier: NCT03766841.
© 2021. Society of General Internal Medicine.

Entities:  

Keywords:  health care disparities; health information technology; patient contextual data; patient participation; patient-provider communication; primary health care; randomized controlled trial

Mesh:

Year:  2021        PMID: 33559067      PMCID: PMC8606508          DOI: 10.1007/s11606-020-06583-7

Source DB:  PubMed          Journal:  J Gen Intern Med        ISSN: 0884-8734            Impact factor:   6.473


  53 in total

1.  Good intentions are not enough: how informatics interventions can worsen inequality.

Authors:  Tiffany C Veinot; Hannah Mitchell; Jessica S Ancker
Journal:  J Am Med Inform Assoc       Date:  2018-08-01       Impact factor: 4.497

2.  Per-Protocol Analyses of Pragmatic Trials.

Authors:  Miguel A Hernán; James M Robins
Journal:  N Engl J Med       Date:  2017-10-05       Impact factor: 91.245

3.  Integrating Data On Social Determinants Of Health Into Electronic Health Records.

Authors:  Michael N Cantor; Lorna Thorpe
Journal:  Health Aff (Millwood)       Date:  2018-04       Impact factor: 6.301

4.  The impact of patient-generated contextual data on communication in clinical practice: A qualitative assessment of patient and clinician perspectives.

Authors:  Rachel Cusatis; Jeana M Holt; Joni Williams; Sandile Nukuna; Onur Asan; Kathryn E Flynn; Joan Neuner; Jennifer Moore; Gregory Makoul; Bradley H Crotty
Journal:  Patient Educ Couns       Date:  2019-10-30

Review 5.  Use of Decision Aids with Minority Patients: a Systematic Review.

Authors:  Aviva G Nathan; Imani M Marshall; Jennifer M Cooper; Elbert S Huang
Journal:  J Gen Intern Med       Date:  2016-06       Impact factor: 5.128

6.  Profiles of a Health Information-Seeking Population and the Current Digital Divide: Cross-Sectional Analysis of the 2015-2016 California Health Interview Survey.

Authors:  Hena Naz Din; Corinne McDaniels-Davidson; Jesse Nodora; Hala Madanat
Journal:  J Med Internet Res       Date:  2019-05-14       Impact factor: 5.428

7.  Tracking Healthy People 2020 Internet, Broadband, and Mobile Device Access Goals: An Update Using Data From the Health Information National Trends Survey.

Authors:  Alexandra J Greenberg-Worisek; Shaheen Kurani; Lila J Finney Rutten; Kelly D Blake; Richard P Moser; Bradford W Hesse
Journal:  J Med Internet Res       Date:  2019-06-24       Impact factor: 5.428

8.  Racial and ethnic differences in self-reported telehealth use during the COVID-19 pandemic: a secondary analysis of a US survey of internet users from late March.

Authors:  Celeste Campos-Castillo; Denise Anthony
Journal:  J Am Med Inform Assoc       Date:  2021-01-15       Impact factor: 4.497

9.  Development of physical and mental health summary scores from the patient-reported outcomes measurement information system (PROMIS) global items.

Authors:  Ron D Hays; Jakob B Bjorner; Dennis A Revicki; Karen L Spritzer; David Cella
Journal:  Qual Life Res       Date:  2009-06-19       Impact factor: 4.147

10.  Two-item PROMIS® global physical and mental health scales.

Authors:  Ron D Hays; Benjamin D Schalet; Karen L Spritzer; David Cella
Journal:  J Patient Rep Outcomes       Date:  2017-09-12
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  5 in total

Review 1.  User Requirements for Comanaged Digital Health and Care: Review.

Authors:  Chaloner Chute; Tara French; Sneha Raman; Jay Bradley
Journal:  J Med Internet Res       Date:  2022-06-10       Impact factor: 7.076

2.  Development of a Digital Tool for People With a Long-Term Condition Using Stroke as a Case Example: Participatory Design Approach.

Authors:  Emma K Kjörk; Katharina S Sunnerhagen; Åsa Lundgren-Nilsson; Anders K Andersson; Gunnel Carlsson
Journal:  JMIR Hum Factors       Date:  2022-06-03

3.  The Potential of Pre-visit Patient Information.

Authors:  Ami Schattner
Journal:  J Gen Intern Med       Date:  2022-03-16       Impact factor: 6.473

4.  In Reply Letter to Editor.

Authors:  Jeana M Holt; Bradley H Crotty
Journal:  J Gen Intern Med       Date:  2022-03-22       Impact factor: 6.473

5.  Patient coaching: What do patients want? A mixed methods study in waiting rooms of outpatient clinics.

Authors:  Irène Alders; Carolien Smits; Paul Brand; Sandra van Dulmen
Journal:  PLoS One       Date:  2022-06-09       Impact factor: 3.752

  5 in total

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