Literature DB >> 24610308

Exploration of an automated approach for receiving patient feedback after outpatient acute care visits.

Eta S Berner1, Midge N Ray, Anantachai Panjamapirom, Richard S Maisiak, James H Willig, Thomas M English, Marc Krawitz, Christa R Nevin, Shannon Houser, Mark P Cohen, Gordon D Schiff.   

Abstract

BACKGROUND: To improve and learn from patient outcomes, particularly under new care models such as Accountable Care Organizations and Patient-Centered Medical Homes, requires establishing systems for follow-up and feedback.
OBJECTIVE: To provide post-visit feedback to physicians on patient outcomes following acute care visits.
DESIGN: A three-phase cross-sectional study [live follow-up call three weeks after acute care visits (baseline), one week post-visit live call, and one week post-visit interactive voice response system (IVRS) call] with three patient cohorts was conducted. A family medicine clinic and an HIV clinic participated in all three phases, and a cerebral palsy clinic participated in the first two phases. Patients answered questions about symptom improvement, medication problems, and interactions with the healthcare system. PATIENTS: A total of 616 patients were included: 142 from Phase 1, 352 from Phase 2 and 122 from Phase 3. MAIN MEASURES: Primary outcomes included: problem resolution, provider satisfaction with the system, and comparison of IVRS with live calls made by research staff. KEY
RESULTS: During both live follow-up phases, at least 96% of patients who were reached completed the call compared to only 48% for the IVRS phase. At baseline, 98 of 113 (88%) patients reported improvement, as well as 167 of 196 (85%) in the live one-week follow-up. In the one-week IVRS phase, 25 of 39 (64%) reported improvement. In all phases, the majority of patients in both the improved and unimproved groups had not contacted their provider or another provider. While 63% of providers stated they wanted to receive patient feedback, they varied in the extent to which they used the feedback reports.
CONCLUSIONS: Many patients who do not improve as expected do not take action to further address unresolved problems. Systematic follow-up/feedback mechanisms can potentially identify and connect such patients to needed care.

Entities:  

Mesh:

Year:  2014        PMID: 24610308      PMCID: PMC4099452          DOI: 10.1007/s11606-014-2783-3

Source DB:  PubMed          Journal:  J Gen Intern Med        ISSN: 0884-8734            Impact factor:   5.128


  16 in total

1.  Can electronic clinical documentation help prevent diagnostic errors?

Authors:  Gordon D Schiff; David W Bates
Journal:  N Engl J Med       Date:  2010-03-25       Impact factor: 91.245

2.  One cheer for feedback.

Authors:  Robert L Wears; Gordon D Schiff
Journal:  Ann Emerg Med       Date:  2005-01       Impact factor: 5.721

3.  Decreasing clinically significant adverse events using feedback to emergency physicians of telephone follow-up outcomes.

Authors:  Chii-Hwa Chern; Chorng-Kuang How; Lee-Min Wang; Chen-Hsen Lee; Louis Graff
Journal:  Ann Emerg Med       Date:  2005-01       Impact factor: 5.721

4.  Expanding perspectives on misdiagnosis.

Authors:  Beth Crandall; Robert L Wears
Journal:  Am J Med       Date:  2008-05       Impact factor: 4.965

5.  Participation in an ambulatory e-pharmacovigilance system.

Authors:  Jennifer S Haas; Aarthi Iyer; E John Orav; Gordon D Schiff; David W Bates
Journal:  Pharmacoepidemiol Drug Saf       Date:  2010-09       Impact factor: 2.890

6.  A 2020 vision of patient-centered primary care.

Authors:  Karen Davis; Stephen C Schoenbaum; Anne-Marie Audet
Journal:  J Gen Intern Med       Date:  2005-10       Impact factor: 5.128

7.  Reducing diagnostic error through medical home-based primary care reform.

Authors:  Hardeep Singh; Mark Graber
Journal:  JAMA       Date:  2010-07-28       Impact factor: 56.272

8.  The incidence and severity of adverse events affecting patients after discharge from the hospital.

Authors:  Alan J Forster; Harvey J Murff; Josh F Peterson; Tejal K Gandhi; David W Bates
Journal:  Ann Intern Med       Date:  2003-02-04       Impact factor: 25.391

9.  Predictors of variation in office visit interval assignment.

Authors:  Karen B DeSalvo; Jason P Block; Paul Muntner; William Merrill
Journal:  Int J Qual Health Care       Date:  2003-10       Impact factor: 2.038

10.  Minimizing diagnostic error: the importance of follow-up and feedback.

Authors:  Gordon D Schiff
Journal:  Am J Med       Date:  2008-05       Impact factor: 4.965

View more
  8 in total

1.  Current challenges in health information technology-related patient safety.

Authors:  Dean F Sittig; Adam Wright; Enrico Coiera; Farah Magrabi; Raj Ratwani; David W Bates; Hardeep Singh
Journal:  Health Informatics J       Date:  2018-12-11       Impact factor: 2.681

2.  Screening for Adverse Drug Events: a Randomized Trial of Automated Calls Coupled with Phone-Based Pharmacist Counseling.

Authors:  Gordon D Schiff; Elissa Klinger; Alejandra Salazar; Jeffrey Medoff; Mary G Amato; E John Orav; Shimon Shaykevich; Enrique V Seoane; Lake Walsh; Theresa E Fuller; Patricia C Dykes; David W Bates; Jennifer S Haas
Journal:  J Gen Intern Med       Date:  2018-10-05       Impact factor: 5.128

3.  Were my diagnosis and treatment correct? No news is not necessarily good news.

Authors:  Hardeep Singh; Dean F Sittig
Journal:  J Gen Intern Med       Date:  2014-08       Impact factor: 5.128

4.  Using a Machine Learning System to Identify and Prevent Medication Prescribing Errors: A Clinical and Cost Analysis Evaluation.

Authors:  Ronen Rozenblum; Rosa Rodriguez-Monguio; Lynn A Volk; Katherine J Forsythe; Sara Myers; Maria McGurrin; Deborah H Williams; David W Bates; Gordon Schiff; Enrique Seoane-Vazquez
Journal:  Jt Comm J Qual Patient Saf       Date:  2019-11-27

5.  Capsule Commentary on Bond et al., Real-time Feedback in Pay-for-Performance: Does More Information Lead to Improvement?

Authors:  Eta S Berner
Journal:  J Gen Intern Med       Date:  2019-09       Impact factor: 5.128

6.  Case management directors: how to manage in a transition-focused world: part 1.

Authors:  Cheri Bankston-White; Jackie Birmingham
Journal:  Prof Case Manag       Date:  2015 Mar-Apr

7.  Issues with the Swedish e-prescribing system - An analysis of health information technology-related incident reports using an existing classification system.

Authors:  Md Shafiqur Rahman Jabin; Tora Hammar
Journal:  Digit Health       Date:  2022-10-11

8.  Systems Analysis of a Dedicated Ambulatory Respiratory Unit for Seeing and Ensuring Follow-up of Patients With COVID-19 Symptoms.

Authors:  James C Benneyan; Tiantian White; Nicole Nehls; Tze Sheng Yap; Mark Aronson; Scot Sternberg; Tim Anderson; Kashika Goyal; Julia Lindenberg; Hans Kim; Marc Cohen; Russell S Phillips; Gordon D Schiff
Journal:  J Ambul Care Manage       Date:  2021 Oct-Dec 01
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.