Does a Complex Care Discharge Planning Initiative Reduce Unplanned Hospital Readmissions? (G78717-Readmits)

NCT03256734 | Unknown

• 1 other identifier: H17-01039
• Study Type: observational
• Target: 300,000
• Locations: 1 country
• Sites: 1

Brief Summary

Unplanned hospital readmissions are associated with increases in morbidity, mortality, cost and patient dissatisfaction,. Policymakers continue to seek effective policy solutions to avoid readmissions in order to improve quality of care and reduce unnecessary expenditures,. One attempt to reduce readmissions was implemented on June 1 2012, when the Specialist Services Committee of British Columbia (a partnership of Doctors of BC and the Ministry of Health) introduced the new "G78717" fee code for physicians. The objective of the fee code was to create a financial incentive for physicians to provide a point-of-care supplemental discharge summary to patients and their primary care providers prior to discharge from hospital. Initially, only urgent hospital admissions were eligible for this incentive payment but on Nov 1 2015 the incentive was extended to include elective admissions as well. The other eligibility criteria remained unchanged. The effectiveness and cost-effectiveness of the fee code intervention is unknown. This study will address important questions relevant to this policy intervention using rigorous methods and empirical data. This study will employ two methods for measuring changes in readmission risk. First, we will use interrupted (multivariate) time series to measure whether there was a temporal change in provincial readmission risk associated with the implementation of the new fee code. We will complement the above analyses with a stronger design, comparing hospitalizations for which the fee code was charged (intervention group) with a cohort of clinically similar hospitalizations for which the fee code was not charged (control group). For this approach, multivariate logistic regression will be the primary statistical method. Using this analytic strategy, 30-day readmission risk between the intervention and control group will be measured over time, adjusted for patient-, provider-, and hospitalization-level covariates.

Conditions

Patient Readmission

Outcome Measures

Primary Outcomes (1)

• Unplanned hospital readmission within 30 days

  Unplanned hospital readmission within 30 days

  30 days

Secondary Outcomes (7)

• Unplanned (urgent) hospital readmission within 1 year of index hospital discharge

  1 year

• Primary care visits within 30 days and 1 year of index hospital discharge

  30 days and 1 year

• Emergency department visit

  30 days and 1 year

• Death

  30 days and 1 year

• Use of transitional or stepdown care

  30 days and 1 year

Interventions

Policy intervention OTHER

Incentive payment for physicians

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

Our study population will be representative of medical and surgical hospital admissions in BC. The Interrupted time series (ITS) cohort will be comprised of hospital separations eligible for submission of fee code G78717. We will include all urgent admissions to BC hospitals with discharge dates between 1 Jan 2002 and 30 June 2017 that had a length of stay (LOS) of \>4 days and are associated with a specialist Most Responsible Physician (MRP). The regression analysis cohort study will be identical to the ITS cohort but will be restricted to index hospitalization discharge dates between 1 Jun 2012 and 31 Jul 2017 (ie. the post-G78717 period). The unit of analysis is the index hospital admission (ie. the initial hospital admission of interest). Individual patients can contribute multiple hospital admissions to the cohort over time (although only hospital admissions occurring \>30 days after a prior discharge are eligible as index hospital admissions).

You may qualify if:

• The study population will be comprised of all hospital discharges in British Columbia between 1 Jan 2002 and 30 June 2017.

You may not qualify if:

• We will exclude separations with the following International Statistical Classification of Diseases and Related Health Problems, 10th Revision, Canada (ICD-10-CA) codes as the Most Responsible Diagnosis:
• Codes O00 - O99 \[Pregnancy, childbirth and the puerperium\]
• Codes P00 - P96 \[Certain conditions originating in the perinatal period\]

Sponsors & Collaborators

• University of British Columbia: lead

Study Sites (1)

Population Data BC

Vancouver, British Columbia, V6T 1Z3, Canada

RECRUITING

Related Publications (2)

• Staples JA, Yu Y, Khan M, Naik H, Liu G, Brubacher JR, Karimuddin A, Sutherland JM. Physician Financial Incentives to Reduce Unplanned Hospital Readmissions: A Propensity Score Weighted Cohort Study. Am J Med. 2024 Sep;137(9):847-856.e11. doi: 10.1016/j.amjmed.2024.04.042. Epub 2024 May 14.

  PMID: 38750712 DERIVED

• Staples JA, Liu G, Brubacher JR, Karimuddin A, Sutherland JM. Physician Financial Incentives to Reduce Unplanned Hospital Readmissions: an Interrupted Time Series Analysis. J Gen Intern Med. 2021 Nov;36(11):3431-3440. doi: 10.1007/s11606-021-06803-8. Epub 2021 May 4.

  PMID: 33948803 DERIVED

Central Study Contacts

John A Staples, MD

CONTACT

604-682-2344; john.a.staples@gmail.com

Jason M Sutherland, PhD

CONTACT

604-822-6812; jsutherland@chspr.ubc.ca

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: RETROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Clinical Assistant Professor

Study Record Dates

• First Submitted: August 18, 2017
• First Posted: August 22, 2017
• Study Start: July 1, 2018
• Primary Completion: September 1, 2018
• Study Completion: December 1, 2023
• Last Updated: May 10, 2023

Record last verified: 2023-05

Data Sharing

• IPD Sharing: Will not share

Locations

CA (1)