Rural Options At Discharge Model of Active Planning
Overview
- Phase
- Not Applicable
- Intervention
- Not specified
- Conditions
- All Causes Hospital Admissions
- Sponsor
- University of Montana
- Enrollment
- 127
- Primary Endpoint
- Primary Care Provider (PCP) Visits Analyzed by Logistic Regression
- Status
- Completed
- Last Updated
- 8 years ago
Overview
Brief Summary
Residents of rural and frontier counties experience significant disparities in health care access and outcomes when compared to their urban counterparts. The organization of health care delivery contributes significantly to these disparities. For rural residents with multiple chronic conditions, transitioning along the continuum of care, between systems of treatment and support, and between dispersed locations present significant challenges. One critical challenge involves hospitalization for treatment because it requires travel to locations at a significant distance from home and disrupts personal and family routines. The transition back home is also problematic because discharge planning does not adequately account for limited access to care in rural areas. Indeed, discharge planning has been recently described as a "black hole;" fragmented and uncoordinated, and contributing to poor outcomes and patient dissatisfaction. The specific aim of this research is to ascertain rural patients' actual experience of the discharge planning process and to involve patients and rural providers in designing and testing a contextually appropriate rural options discharge model (ROADMAP) that improves patient outcomes and reduces re-hospitalizations.
Detailed Description
Residents of rural counties experience significant disparities in health care access and outcomes when compared to their urban counterparts. These disparities are structural; based in our market-based medical care delivery system. For rural residents with multiple chronic conditions, transitioning along the continuum of care, between systems of treatment and support, and between dispersed locations both expose and produce disparities. The transition home from hospitalization for treatment exposes the current urban bias. Indeed, discharge planning is fragmented and uncoordinated, and contributes to poor the disparities. The specific aims of this research is to ascertain rural patients' actual experience of discharge; then to involve patients and rural providers in using those data to design a contextually appropriate rural options at discharge model of active planning (ROADMAP) that improves patient outcomes and reduces disparities. Objectives include: 1. Ascertain actual patient experience in the rural discharge process. 2. Design the ROADMAP model to fit the emerging health services context. 3. Test the ROADMAP's efficacy in enhancing patient defined outcomes. 4. Design the components for rapid diffusion. Researchers will work in four counties of the Missoula Hospital Referral Region with a total population of 53,116 living on 12,342 square miles (4.3 persons per square mile). Researchers will recruit patients seeking treatment from St. Patrick Hospital. Patients and patient advocates will serve on an Innovations Design Team (IDT) to create the ROADMAP. Researchers will first interview patients (n = 40) who have been discharged to one of the rural counties. Researchers will compare their experiences to guidelines. Next, they will conduct a Design Survey (n=600) to verify goals important to patients. The IDT will use these findings to develop design requirements for ROADMAP. Finally, we will use a quasi-experimental research design to compare the patient designed rural ROADMAP to standard practice. The primary outcome measures are measures that reflect the patient's values for health-related quality of life and functional status, as well as hospital re-admissions. An independent statistician will use Hierarchical Linear Modeling to examine the complex relationships. This approach accounts for patients nested in four counties and the correlated errors inherent in within subject analysis. Health care reform sets the occasion for rapid diffusion of ROADMAP. This can provide an incremental reduction in rural disparities. Incorporating patient and provider input increases the likelihood it will fit within the emerging reimbursement model. Researchers expect that ROADMAP will reduce re-hospitalizations by as much as 30%, and improve patient recovery and return to participation in daily life.
Investigators
Tom Seekins
Professor of Psychology and Director, RTC:Rural
University of Montana
Eligibility Criteria
Inclusion Criteria
- •Between 18 and 75 years of age
- •Admitted to St. Patrick regional referral hospital for treatment
- •Discharged home to one of four rural counties in Montana
Exclusion Criteria
- •Primary diagnosis involves psychiatric condition or substance abuse
- •Inmates of state prison
- •Admitted under ongoing criminal investigation.
Outcomes
Primary Outcomes
Primary Care Provider (PCP) Visits Analyzed by Logistic Regression
Time Frame: 3, 7, 14, 21, 30, 60, and 90 days after discharge
This reflects the proportion of patients who reported at least one visit to a their local primary care provider at 3, 7, 14, 21,30, 60, and 90 days after discharge.
Hospital Re-admissions Analyzed by Logistic Regression
Time Frame: 3, 7 ,14, 21, 30, 60, and 90 days after discharge
Proportion of patients who self-report at least one hospital readmission to any hospital after discharge from a regional hospital to one of four rural counties.
Emergency Department (D) Visits Analyzed by Logistic Regression
Time Frame: 3, 7, 14, 21,30, 60, and 90 days after discharge
Proportion of patients who report at least one emergency department visit after discharge from a regional hospital to one of four rural counties.
Hospital Re-admissions Analyzed by Poisson Regression
Time Frame: 3, 7 ,14, 21, 30, 60, and 90 days after discharge
Number of admissions to any hospital reported by the patients after discharge from a regional hospital to one of four rural counties.
Emergency Department (ED) Visits Analyzed by Poisson Regression
Time Frame: 3, 7, 14, 21,30, 60, and 90 days after discharge
Number of self-reported visits to the emergency department of any hospital reported by patients after discharge from a regional hospital to one of four rural counties.
Primary Care Provider (PCP) Visits Analyzed by Poisson Regression
Time Frame: 3, 7, 14, 21, 30, 60, and 90 days after discharge
This reflects the number of visits to a patient's local primary care provider at 3, 7, 14, 21,30, 60, and 90 days after discharge.
Secondary Outcomes
- Short Form (SF12) Physical Health Score(3, 7, 14, 21, 30, 60, and 90 days after discharge)
- Rural Transition Measure (RTM14)(7, 14, 21, 30, 60, and 90 days after discharge)
- Short Form (SF12) Mental Health Score(3, 7, 14, 21, 30, 60, and 90 days after discharge)
- Care Transition Measure (CTM3)(3 days after discharge)