Randomised controlled pragmatic clinical trial evaluating the effectiveness of a discharge follow-up phone call on 30-day hospital readmissions: balancing pragmatic and explanatory design considerations

Maame Yaa A B Yiadom, Henry Domenico, Daniel Byrne, Michele Marie Hasselblad, Cheryl L Gatto, Sunil Kripalani, Neesha Choma, Sarah Tucker, Li Wang, Monisha C Bhatia, Johnston Morrison, Frank E Harrell, Tina Hartert, Gordon Bernard, Maame Yaa A B Yiadom, Henry Domenico, Daniel Byrne, Michele Marie Hasselblad, Cheryl L Gatto, Sunil Kripalani, Neesha Choma, Sarah Tucker, Li Wang, Monisha C Bhatia, Johnston Morrison, Frank E Harrell, Tina Hartert, Gordon Bernard

Abstract

Introduction: Hospital readmissions within 30 days are a healthcare quality problem associated with increased costs and poor health outcomes. Identifying interventions to improve patients' successful transition from inpatient to outpatient care is a continued challenge.

Methods and analysis: This is a single-centre pragmatic randomised and controlled clinical trial examining the effectiveness of a discharge follow-up phone call to reduce 30-day inpatient readmissions. Our primary endpoint is inpatient readmission within 30 days of hospital discharge censored for death analysed with an intention-to-treat approach. Secondary endpoints included observation status readmission within 30 days, time to readmission, all-cause emergency department revisits within 30 days, patient satisfaction (measured as mean Hospital Consumer Assessment of Healthcare Providers and Systems scores) and 30-day mortality. Exploratory endpoints include the need for assistance with discharge plan implementation among those randomised to the intervention arm and reached by the study nurse, and the number of call attempts to achieve successful intervention delivery. Consistent with the Learning Healthcare System model for clinical research, timeliness is a critical quality for studies to most effectively inform hospital clinical practice. We are challenged to apply pragmatic design elements in order to maintain a high-quality practicable study providing timely results. This type of prospective pragmatic trial empowers the advancement of hospital-wide evidence-based practice directly affecting patients.

Ethics and dissemination: Study results will inform the structure, objective and function of future iterations of the hospital's discharge follow-up phone call programme and be submitted for publication in the literature.

Trial registration number: NCT03050918; Pre-results.

Keywords: discharge phone call; hospital readmission; pragmatic clinical trial; transition of care.

Conflict of interest statement

Competing interests: None declared.

© Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Figures

Figure 1
Figure 1
Study design schematic and enrolment projection. HCAHPS, Hospital Consumer Assessment of Healthcare Providers and Systems.
Figure 2
Figure 2
Operationalising randomisation and blinding within dynamic hospital care. REDCap, Research Electronic Data Capitulation; RN, Registered Nurse; VICTR, Vanderbilt Institute for Clinical and Translational Research; VUMC, Vanderbilt University Medical Center.
Figure 3
Figure 3
Discharge phone call study data sources and flow. API, application program interface; CCQIR, Center for Clinical Quality and Implementation Sciences Research; CSV, comma separated value formatted file; EHR, electronic health record; QSRP, Quality Safety and Risk Prevention; RD, Research Derivative; REDCap, Research Electronic Data Capitulation; VHAN, The Vanderbilt Health Affiliate Network.
Figure 4
Figure 4
Non-randomised pretrial 30-day readmission rates by phone call status.

References

    1. Zuckerman RB, Sheingold SH, Orav EJ, et al. . Readmissions, observation, and the hospital readmissions reduction program. N Engl J Med 2016;374:1543–51. 10.1056/NEJMsa1513024
    1. Center for Medicare and Medicaid Services. “Hospital Readmissions Reduction Program (HRRP)”. AHRQ, (accessed 25 Aug 2017).
    1. American Hospital Association. Fast facts on US hospitals. 2017. (accessed 25 Aug 2017).
    1. Hansen LO, Young RS, Hinami K, et al. . Interventions to reduce 30-day rehospitalization: a systematic review. Ann Intern Med 2011;155:520–8. 10.7326/0003-4819-155-8-201110180-00008
    1. Huffman M. Health coaching: a new and exciting technique to enhance patient self-management and improve outcomes. Home Healthc Nurse 2007;25:271–4. 10.1097/01.NHH.0000267287.84952.8f
    1. Huffman MH. HEALTH COACHING: a fresh, new approach to improve quality outcomes and compliance for patients with chronic conditions. Home Healthc Nurse 2009;27:490–6. 10.1097/01.NHH.0000360924.64474.04
    1. Balaban RB, Weissman JS, Samuel PA, et al. . Redefining and redesigning hospital discharge to enhance patient care: a randomized controlled study. J Gen Intern Med 2008;23:1228–33. 10.1007/s11606-008-0618-9
    1. Weisman DS, Bashir L, Mehta A, et al. . A medical resident post-discharge phone call study. Hosp Pract 2012;40:138–44. 10.3810/hp.2012.04.979
    1. Goldman LE, Sarkar U, Kessell E, et al. . Support from hospital to home for elders: a randomized trial. Ann Intern Med 2014;161:472–81. 10.7326/M14-0094
    1. Wong FK, So C, Chau J, et al. . Economic evaluation of the differential benefits of home visits with telephone calls and telephone calls only in transitional discharge support. Age Ageing 2015;44:143–7. 10.1093/ageing/afu166
    1. Mistiaen P, Poot E, follow‐up T. Telephone follow-up, initiated by a hospital-based health professional, for postdischarge problems in patients discharged from hospital to home. Cochrane Database Syst Rev 2006:CD004510 10.1002/14651858.CD004510.pub3
    1. Soong C, Kurabi B, Wells D, et al. . Do post discharge phone calls improve care transitions? A cluster-randomized trial. PLoS One 2014;9:e112230 10.1371/journal.pone.0112230
    1. Chan B, Goldman LE, Sarkar U, et al. . The effect of a care transition intervention on the patient experience of older multi-lingual adults in the safety net: results of a randomized controlled trial. J Gen Intern Med 2015;30:1788–94. 10.1007/s11606-015-3362-y
    1. Wong FK, Chow SK, Chan TM, et al. . Comparison of effects between home visits with telephone calls and telephone calls only for transitional discharge support: a randomised controlled trial. Age Ageing 2014;43:91–7. 10.1093/ageing/aft123
    1. Harrison JD, Auerbach AD, Quinn K, et al. . Assessing the impact of nurse post-discharge telephone calls on 30-day hospital readmission rates. J Gen Intern Med 2014;29:1519–25. 10.1007/s11606-014-2954-2
    1. Dudas V, Bookwalter T, Kerr KM, et al. . The impact of follow-up telephone calls to patients after hospitalization. Am J Med 2001;111:26–30. 10.1016/S0002-9343(01)00966-4
    1. Centers for Medicare & Medicaid Services. CMS 2017 procedure-specific measures updates and specifications report hospital-level 30-day risk-standardized readmission measures. Version 6. &Ldquo;multiple readmissions”. 13, 2017.
    1. Code of Federal Regulations. "Protection of human subjects." National institutes of health office for protection from research risks, 2009. Title 45:Part 46.116:d1-4.
    1. Department of Health and Human Services, Secretary’s Advisory Committee on Human Research Protections. January 31, 2008 SACHRP letter to HHS Secretary: recommendations related to waiver of informed consent and interpretation of “minimal risk”. 2008. (accessed 1 Dec 2017).
    1. Zwarenstein M, Treweek S, Gagnier JJ, et al. . Improving the reporting of pragmatic trials: an extension of the CONSORT statement. BMJ 2008;337:a2390 10.1136/bmj.a2390
    1. Chan AW, Tetzlaff JM, Altman DG, et al. . SPIRIT 2013 statement: defining standard protocol items for clinical trials. Ann Intern Med 2013;158:200–7. 10.7326/0003-4819-158-3-201302050-00583
    1. Wang MC, Qin J, Chiang CT. Analyzing recurrent event data with informative censoring. J Am Stat Assoc 2001;96:1057–65. 10.1198/016214501753209031
    1. Giordano LA, Elliott MN, Goldstein E, et al. . Development, implementation, and public reporting of the HCAHPS survey. Med Care Res Rev 2010;67:27–37. 10.1177/1077558709341065
    1. Harris PA, Taylor R, Thielke R, et al. . Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform 2009;42:377–81. 10.1016/j.jbi.2008.08.010
    1. DeWalt DA, Broucksou KA, Hawk V, et al. . Developing and testing the health literacy universal precautions toolkit. Nurs Outlook 2011;59:85–94. 10.1016/j.outlook.2010.12.002
    1. Jager AJ, Wynia MK. Who gets a teach-back? Patient-reported incidence of experiencing a teach-back. J Health Commun 2012;17(Suppl 3):294–302. 10.1080/10810730.2012.712624
    1. Rosenbloom ST, Harris P, Pulley J, et al. . The mid-South clinical data research network. J Am Med Inform Assoc 2014;21:627–32. 10.1136/amiajnl-2014-002745
    1. Danciu I, Cowan JD, Basford M, et al. . Secondary use of clinical data: the Vanderbilt approach. J Biomed Inform 2014;52:28–35. 10.1016/j.jbi.2014.02.003
    1. Sesso HD, Paffenbarger RS, Lee IM. Comparison of National Death Index and World Wide Web death searches. Am J Epidemiol 2000;152:107–11. 10.1093/aje/152.2.107
    1. Williams BC, Demitrack LB, Fries BE. The accuracy of the National Death Index when personal identifiers other than Social Security number are used. Am J Public Health 1992;82:1145–7. 10.2105/AJPH.82.8.1145
    1. Loudon K, Treweek S, Sullivan F, et al. . The PRECIS-2 tool: designing trials that are fit for purpose. BMJ 2015;350:h2147 10.1136/bmj.h2147
    1. Olsen L, Aisner D, McGinnis JM. Roundtable on evidence-based medicine The learning healthcare system: workshop summary. Washington (DC): National Academies Press, 2007. Roundtable on Evidence-Based Medicine

Source: PubMed

3
Abonner