Impacting Readmission Rates and Patient Satisfaction: Results of a Discharge Pharmacist Pilot Program

2011 ◽  
Vol 46 (11) ◽  
pp. 876-883 ◽  
Author(s):  
Samaneh Tavalali Wilkinson ◽  
Pal Aroop ◽  
J. Couldry Richard
Keyword(s):  
Patient Satisfaction ◽  
High Risk ◽  
Readmission Rate ◽  
Medical Center ◽  
Academic Medical Center ◽  
Control Group ◽  
Unplanned Readmission ◽  
Discharge Process ◽  
Readmission Rates ◽  
The Impact

Background Readmission to a hospital within 30 days of discharge has become a key quality outcome measure. With an observed 30-day readmission rate as high as 20% and attributed costs of almost $17.4 billion a year for Medicare patients, the potential implications for patients and the entire health care system are significant. Medication-related complications have been shown to increase the risk for unplanned readmission. Pharmacists have an opportunity to impact quality and cost by risk stratifying and identify patients at high risk for hospital readmission. Objective To study the impact of a pharmacist-driven discharge counseling program for high-risk patients identified by BOOST (Better Outcomes for Older adults through Safe Transitions) criteria on 30-day readmission rates. Method This was a prospective, cohort, nonrandomized trial at a single medical-surgical unit with telemetry capability at a single academic medical center including 669 patients who were older than 18 years. Primary outcome was 30-day readmission rate. Secondary outcomes were the number and type of pharmacist interventions, cost avoidance, and patient satisfaction results. Results The readmission rate for patients counseled by a pharmacist during the discharge process was 15.7% compared to 21.6% for patients not counseled by a pharmacist on discharge (relative risk [RR] 0.728; 95% confidence interval [CI], 0.514–1.032; P = .04). The readmission rate for adult medicine patients not counseled at discharge by a pharmacist in the study was comparable to the readmission rates of a similar patient control group at 3 months and 1 year prior to the initiation of the study (18.7% and 19.1% vs 19.6%). Conclusions Pharmacists' support in the discharge process facilitated increased communication on the multidisciplinary team and resulted in a lower unplanned readmission rate for patients.

Pharmacist Transition-of-Care Services Improve Patient Satisfaction and Decrease Hospital Readmissions

2020 ◽  
pp. 089719002095826
Author(s):  
Katherine L. March ◽  
Michael J. Peters ◽  
Christopher K. Finch ◽  
Lauchland A. Roberts ◽  
Katie M. McLean ◽  
...  
Keyword(s):  
Patient Satisfaction ◽  
Medical Center ◽  
Academic Medical Center ◽  
Hospital Readmissions ◽  
Transitions Of Care ◽  
Control Group ◽  
Readmission Rates ◽  
Improve Patient Satisfaction ◽  
Phone Calls ◽  
Improve Patient

Background: Pharmacists ability to directly impact patient satisfaction through increases in the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) surveys utilizing transitions-of-care (TOC) services is unclear. Methods: Retrospective analysis of TOC patients from 07/01/2018 to 03/31/2019 was conducted. Intervention (INV) patients received pharmacist medication reconciliation and education prior to discharge and post-discharge telephone follow-up. All other patients served as control group (CON). Primary outcome: Evaluate impact of TOC services on HCAHPS scores for “Communication about Medicines” and “Care Transitions.” Secondary outcomes: 30-day readmissions, quantification of prevented potential safety events, assessment of discharge prescriptions sent to the academic medical center outpatient pharmacy (MOP) for TOC patients. Results: Of 1,728 patients screened, 414 patients met inclusion criteria (INV = 414, CON = 1314). A significant improvement (14.7%; p = <0.0001) in overall medication-related HCAHPS results was seen when comparing pre- vs post-implementation of the TOC service. Statistically significant increases for individual questions “staff told you what the medicine was for” (14.2%; p = 0.018), “staff describe possible effects” (21.2%; p = 0.004), and “understood the purpose of taking medications” (11.4%; p = 0.035) were observed. A non-significant decrease in 30-day readmission rates for the groups was observed (CON 16.4%, INV 13.3%; p = 0.133); however, an unplanned subgroup analysis evaluating impact of discharge phone calls on 30-day readmission rates revealed a significant reduction of 17.3% to 12.4% (p = 0.007). One hundred forty-three medication safety event(s) were potentially prevented by the TOC pharmacist. Lastly, 562 prescriptions were captured at the MOP as a result of the TOC initiative. Conclusions: Pharmacy-based TOC models can improve patient satisfaction, prevent hospital readmissions, and generate revenue.

Impact of a formal pharmacist-run oral antineoplastic monitoring program: A pilot study in an adult genitourinary oncology clinic

2018 ◽  
Vol 25 (4) ◽  
pp. 777-786 ◽  
Author(s):  
Brette Conliffe ◽  
Lindsay Figg ◽  
Padmini Moffett ◽  
Leslie Lauterwasser ◽  
Laura Beth Parsons
Keyword(s):  
Patient Satisfaction ◽  
Medical Center ◽  
Cohort Analysis ◽  
Academic Medical Center ◽  
Monitoring Program ◽  
Control Group ◽  
Case Group ◽  
Disease States ◽  
The Impact

Background In recent years, there has been a changing paradigm in the management of oncologic disease states from the use of intravenous therapies, requiring a visit to the infusion center or hospitalization, to new therapies that can be administered orally.1,2 Several publications have evaluated the role pharmacists may play in the initial prescribing of oral chemotherapy, however the impact of a formalized pharmacist follow-up program has not been well defined. This study evaluates the impact of a pilot pharmacist-run oral antineoplastic monitoring program. Methods This retrospective cohort analysis evaluated patients prescribed an oral antineoplastic in the genitourinary oncology clinic at an academic medical center between 1 July 2014 and 15 March 2017. Patients enrolled in the program were compared to a historical control group. The primary objective was adherence to pre-defined standards for monitoring. Secondary objectives include persistence on therapy, need to seek medical care, analysis of pharmacist interventions, patient satisfaction, and financial impact for the on-site retail pharmacy. Results In total, 33 patients were evaluated (11 cases, 22 controls). Average adherence to monitoring recommendations was significantly higher in the case group compared to controls (89% vs. 61%; p = 0.008). In total, 67 interventions were made by the clinical pharmacist with an average of 6 per patient. Conclusions This study shows that formalized pharmacist follow-up programs can improve patients’ adherence with antineoplastic monitoring standards. Additionally, pharmacists made clinically significant interventions and had high patient satisfaction, providing justification for expansion into other disease states.

scholarly journals Reducing Preventable Readmissions in a Neurosurgical Patient Population at an Academic Medical Center

Neurosurgery ◽  
2019 ◽  
Vol 66 (Supplement_1) ◽  
Author(s):  
Shayan Moosa ◽  
Lindsay Bowerman ◽  
Ellen Smith ◽  
Mindy Bryant ◽  
Natalie Krovetz ◽  
...  
Keyword(s):  
High Risk ◽  
Patient Population ◽  
Medical Center ◽  
Academic Medical Center ◽  
Readmission Rates ◽  
Academic Medical ◽  
Neurosurgical Patient ◽  
Neurosurgical Patients ◽  
Significant Difference

Abstract INTRODUCTION Hospital readmissions are extremely costly in terms of time and resources and negatively impact patient safety and satisfaction. In this study, we performed a Pareto analysis of 30-day readmissions in a neurosurgical patient population in order to identify patients at high-risk for readmission. Using this information, we implemented a new practice parameter with the goal of reducing preventable readmissions. METHODS Patient characteristics and causes for readmission were prospectively collected for all neurosurgical patients readmitted to an academic medical center within 30 d of discharge between July and October 2018. A program was then initiated where postoperative neurosurgical spine patients were contacted by phone at standardized intervals before their 2-wk follow-up appointment, with the purpose of more quickly addressing surgical concerns and/or coordinating care for general medical issues. Finally, 30-d readmission rates were compared between the initial 4-mo period and January 2019 through April 2019. RESULTS Prior to intervention, the largest group of readmitted patients included those who had undergone recent spinal surgery (16/47, 34%). Among spine readmissions during this time, 47% were readmitted before their two-week follow-up appointment, 67% lived over 50 miles from the medical center, and 40% were Medicare-insured. There was a statistically significant difference in the mean rate of spine readmissions per month in the periods before (7.0%) and after (3.0%) the program onset (P = .029, 57% decline). The total number of surgically and medically related spine readmissions decreased between the pre- and postintervention periods from 10 to 3 (70%) and 3 to 1 (67%), respectively. CONCLUSION Our data suggests that a large number of neurosurgical readmissions may be prevented by the simple process of early follow-up and consistent communication via telephone. Readmission rates may be further reduced by standardizing the coordination of postoperative general medical follow-up and providing thorough wound care teaching for high-risk patients.

Characterization of unplanned 30-day medical oncology readmissions after discharge at an academic medical center with a comprehensive cancer center.

2016 ◽  
Vol 34 (7_suppl) ◽  
pp. 269-269 ◽  
Author(s):  
Inga Tolin Lennes ◽  
Justin Eusebio ◽  
Nie Bohlen ◽  
Margaret Ruddy ◽  
David P. Ryan
Keyword(s):  
Readmission Rate ◽  
Medical Center ◽  
Academic Medical Center ◽  
Comprehensive Cancer Center ◽  
Cancer Center ◽  
Unplanned Readmission ◽  
Oncology Patient ◽  
Hematopoietic Stem ◽  
Medical Oncologists ◽  
Increased Risk

269 Background: Hospital readmission rate is increasingly suggested as a quality care metric. Currently there are no standard criteria for an avoidable readmission in oncology. Although patients with cancer have been identified as being at increased risk of readmission, there has been little to examine the reasons for the oncology patient readmission. The aim was to examine the profiles of patients with an unplanned readmission within 30 days after discharge by an oncology provider and to measure the unplanned 30-day readmission rate. Methods: A retrospective review of oncology provider discharge encounters resulting in a 30-day unplanned readmission during the 2012 calendar year at a tertiary hospital with a comprehensive cancer center was conducted. Planned readmissions for chemotherapy, radiation therapy, hematopoietic stem cell transplantation, dialysis, and surgical procedures, as well as readmissions for rehabilitation, hospice, and psychiatry were excluded. Medical oncologists analyzed medical records for the primary reason of readmission and if the readmission was possibly preventable. Results: Of the 2,944 admissions, a final cohort of 441 unplanned readmissions from 321 unique patients for an unplanned 30-day readmission rate of 14.9% was observed. The average age at admission was 59 (SD 15.9). The cohort was mostly male (56.9%) and White/Caucasian (84.4%). Gastrointestinal (24.0%), lymphoma (18.6%), and leukemia (17.5%) were the most common cancer types. Of those with solid tumors types (n = 225), approximately 70% had metastatic disease. The median time to readmission was 10 days and 10.7% died within 30 days of readmission. Oncology reviewers most commonly assessed that readmission was primarily due to treatment-related effects (46.7%) and the progression of disease (42.2%). Approximately 20% of 30-day readmissions were determined to be possibly preventable, representing 3% of all admissions for the year. Conclusions: Oncology patients readmitted within 30-days frequently present with complicated, advanced disease. A review by medical oncologists suggests there is margin for intervention to reduce 30-day unplanned admissions.

Evaluation of An Inpatient Pharmacy Consult on Discharge Medications in Bariatric Surgery Patients

2021 ◽  
pp. 089719002110302
Author(s):  
Amanda M. Van Prooyen ◽  
Jessica L. Hicks ◽  
Ed Lin ◽  
Scott S. Davis ◽  
Arvinpal Singh ◽  
...  
Keyword(s):  
Bariatric Surgery ◽  
Medical Center ◽  
Academic Medical Center ◽  
Intervention Group ◽  
Pharmacist Intervention ◽  
Control Group ◽  
Medication History ◽  
Discharge Medication ◽  
Medication Plan ◽  
The Impact

Purpose: To evaluate the impact of an inpatient pharmacy consult on discharge medications following bariatric surgery. Methods: A pharmacy consult for discharge medication review for bariatric surgery patients was instituted at an academic medical center. The intervention included conducting a medication history, reviewing home medications for updates post-bariatric surgery, creating and documenting a discharge medication plan, and providing patient education. The impact of the intervention was evaluated by comparing medication classes, doses, and formulations prescribed during the intervention relative to a historical control group. Results: The study included 85 patients who received pharmacist intervention and 167 patients who did not receive pharmacist intervention following bariatric surgery. The prescription of an extended-release medication at discharge in the intervention group was reduced by 19.3% (28.7% vs. 9.4%, p = 0.0005). For patients on hypertension medications, 94.0% had their regimen reduced in the intervention group compared with 37.5% of patients in the control group (p < 0.001). Of patients on insulin at baseline, 87.5% of patients in the intervention group had dose reductions at discharge vs. 66.7% of patients in the control group (p = 0.37). No patients in the intervention group were discharged with oral antihyperglycemic medications or non-insulin injectable medications vs. 33.3% (p = 0.12) and 20.0% (p = 0.47), respectively, in the control group. Readmission rates at 30 days were insignificantly lower in the intervention group (3.5% vs. 4.2%, p = 1). Conclusions: Clinical pharmacist involvement in the discharge medication reconciliation process for bariatric surgery patients reduced prescribing of unadjusted medication classes, doses, and drug formulations.

scholarly journals Using Intern-Led Quality Improvement to Reduce Readmissions for Specialty Service Patients Within an Academic Medical Center

2021 ◽  
Vol 4 (2) ◽  
pp. 70-76
Author(s):  
Alfeil Felipe ◽  
Anu Vats ◽  
Andressa Sleiman ◽  
Brian Tran ◽  
Miis Akel ◽  
...  
Keyword(s):  
Quality Improvement ◽  
Readmission Rate ◽  
Medical Center ◽  
Academic Medical Center ◽  
Significant Risk ◽  
Patient Discharge ◽  
Clinical Service ◽  
Unplanned Readmission ◽  
Academic Medical

ABSTRACT Introduction Postdischarge patient calls are an effective intervention to decrease unplanned readmissions. Despite its efficacy, calls are time consuming and compete with other clinical obligations. The purpose of this study was to evaluate the viability of intern-led quality improvement (QI) on conducting initial postdischarge calls to filter patients who require clinical or nurse follow-up. Methods QI interns from an academic medical center's QI program completed postdischarge patient calls within 72 hours of patient discharge from a neurosurgery service between June 2018 and July 2019. QI interns filtered patients who required follow-up calls from a clinical service or nurse department. The departments called patients within 48 hours of requests. Unplanned readmission rate was compared between the cohort of patients who requested and received a follow-up call versus a cohort of patients who requested and did not receive a follow-up call (control). Results QI interns completed 83.8% postdischarge patient calls within 72 hours of discharge. Reasons for unsuccessful calls included patient unresponsiveness (74.6%), wrong phone number on file (13.9%), and request to be called at a different time (11.5%). Nurses completed 57.2% follow-up requests within the targeted 48 hours and completed remaining requests within 7 days. QI intern postdischarge follow-up calls, in conjunction with nurse follow-up intervention, showed a significant (risk ratio = −3.31, p = 0.012) preventive effect on unplanned readmission rate. Conclusions QI interns are a viable alternative to nurses to conduct the first contact of postdischarge patient follow-up calls. This system of QI interns filtering calls to the correct clinical service or nurse department increased postdischarge patient follow-up calls success rate and decreased readmission rates.

scholarly journals “Brown Bag Clinic”: A Pharmacist-led Approach to Reduce Heart Failure Hospital Readmission

2021 ◽  
Vol 12 (4) ◽  
pp. 11
Author(s):  
Maggie N. Faraj ◽  
Ileana L. Piña ◽  
Candice Garwood
Keyword(s):  
Heart Failure ◽  
Medical Center ◽  
Academic Medical Center ◽  
Hospital Readmissions ◽  
Intervention Group ◽  
The United States ◽  
Control Group ◽  
Post Discharge ◽  
Academic Medical ◽  
The Impact

Objectives: Heart failure (HF) affects approximately 6 million in the United States and despite guideline-directed medical therapy (GDMT), still more than 20% of patients are readmitted within 30 days.1,2 This study evaluated the impact of a “pharmacist-led HF Brown Bag Clinic” (BBC) on HF patient outcomes including readmissions and mortality. Methods: This retrospective study, conducted at an academic medical center, included adult patients 18 to 89 years old with HF presenting to the BBC 7-14 days post HF hospitalization. Those failing to attend the BBC within 30 days of hospital discharge were in the control group. Our electronic medical records were used to capture patients’ baseline characteristics and describe pharmacists’ interventions. Thirty- and ninety-day post-discharge HF readmission and all-cause mortality were evaluated. Results: A total of 32 patients met the inclusion criteria; 15 receiving intervention and 17 controls. A total of 18 HF hospital readmissions occurred, 4 (22%) readmissions in the intervention group and 14 (78%) in the control group (p= 0.06). Hospital readmissions within 30 days and 90 days were greater in the control group compared with the intervention group (18% vs. 7% and 41% vs. 21% respectively). Conclusion: A pharmacist-led post-discharge clinic demonstrated numerically fewer HF hospital readmissions compared with a scheduled but “no show” control group.

scholarly journals Evaluation of the Impact of Antimicrobial Stewardship Program (ASP) on Unrestricted Use of Meropenem at an Academic Medical Center

2019 ◽  
Vol 66 (1) ◽  
pp. 29-33
Author(s):  
Priyam Mithawala ◽  
Edo-abasi McGee
Keyword(s):  
Antimicrobial Stewardship ◽  
Medical Center ◽  
Academic Medical Center ◽  
Intervention Group ◽  
Antibiotic Use ◽  
Control Group ◽  
Antimicrobial Stewardship Program ◽  
Stewardship Program ◽  
Significant Difference ◽  
The Impact

Objective The primary objectives were to evaluate the prescriber acceptance rate of Antimicrobial Stewardship Program (ASP) pharmacist recommendation to de-escalate/discontinue meropenem, and estimate the difference in duration of meropenem therapy. The secondary objective was to determine incidence of adverse events in the two groups. Methods It was a retrospective study. All patients admitted to Gwinnett Medical Center and receiving meropenem from January–November 2015 were included in the study. Exclusion criteria were: patients admitted to intensive care unit, one-time dose, infectious disease consultation, and age <18 years. Electronic medical records were reviewed for data collection. The control group consisted of patients from January–July 2015 when there was no ASP pharmacist. The intervention group consisted of patients from August–November 2015 during which period the ASP pharmacist recommended de-escalation/discontinuation of meropenem based on culture and sensitivity results. Results A total of 41 patients were studied, 21 in the control group and 20 in the intervention group. There was no significant difference in baseline characteristics in the two groups and in terms of prior hospitalization or antibiotic use (within 90 days) and documented or suspected MDRO infection at the time of admission. De-escalation/discontinuation was suggested in 16/20 patients in the intervention group (80%), and intervention was accepted in 68%. The mean duration of therapy was significantly decreased in the intervention group (5.6 days vs. 8.1 days, p =0.0175). Two patients had thrombocytopenia (unrelated to meropenem), and none of the patients had seizure. Conclusion Targeted antibiotic review is an effective ASP strategy, which significantly decreases the duration of meropenem therapy.

Community Treatment Orders: Relationship to Clinical Care, Medication Compliance, Behavioural Disturbance and Readmission

2000 ◽  
Vol 34 (5) ◽  
pp. 801-808 ◽  
Author(s):  
Kevin Vaughan ◽  
Neil McConaghy ◽  
Cherry Wolf ◽  
Craig Myhr ◽  
Terry Black
Keyword(s):  
Readmission Rate ◽  
Comparison Group ◽  
Clinical Care ◽  
Severity Of Illness ◽  
Community Treatment ◽  
Control Group ◽  
Random Allocation ◽  
Community Treatment Orders ◽  
Readmission Rates ◽  
The Impact

Objective: The objective of this study was to investigate the readmission rate, and the level of patient disturbance and community care associated with readmission following Community Treatment Orders (CTOs) in New South Wales, Australia. Method: The readmission rates of all patients given CTOs within a 4-year period and a matched comparison group were investigated. The following factors were compared before, during and following a CTO: medication non-compliance, number of clinical services and duration of disturbed behaviour preceding hospitalisations. Results: Of 123 patients on CTOs (mean length, 288 days; SD, 210 days), 38 were readmitted during the CTO, the majority in the first 3 months and a further 21 patients were readmitted following termination of the CTO. Evidence of lower severity of illness in the comparison patients prevented meaningful evaluation of the readmission rates of the two groups. While on CTOs, patients receiving depot medications showed high compliance and a significantly reduced readmission rate compared with that of patients receiving oral medications. In the 2 months prior to hospitalisations during CTOs, compared with those before or after CTOs, patients received more frequent consultations and showed a shorter duration of medication non-compliance and disturbed behaviour. The level of services in the 3 months following discharge were comparable for patients on CTOs and the comparison group. Conclusions: CTOs may reduce rehospitalisations by use of depot medication. Earlier and possibly more frequent readmissions in the CTO group shortened the disturbance associated with illness recurrence. It would appear that to establish a control group with equivalent severity of disorder necessary to evaluate the impact of CTOs requires a random allocation design.

scholarly journals Missing the Mark: Inaccuracy of administrative data in identification of hospitalized patients with pneumonia and results of a systematic clinical reclassification process on readmission rates

2017 ◽  
Vol 6 (6) ◽  
pp. 35
Author(s):  
Marcus D. Ruopp ◽  
Joel C. Boggan ◽  
Thomas L. Holland ◽  
Mary Jane Stillwagon ◽  
Joseph A. Govert ◽  
...  
Keyword(s):  
Administrative Data ◽  
Readmission Rate ◽  
Medical Center ◽  
Academic Medical Center ◽  
Hospital Readmissions ◽  
Final Diagnosis ◽  
Healthcare Systems ◽  
Readmission Rates ◽  
Control And Prevention ◽  
One Year

Objective: Pneumonia readmissions carry financial ramifications under the Hospital Readmissions Reduction Program (HRRP). As readmission determination utilizes administrative data, healthcare systems should evaluate accuracy of pneumonia diagnoses. We sought to develop a systemic process for pneumonia classification review and determine potential effects on pneumonia readmissions in a tertiary academic medical center in the United States.Methods: We performed independent reviews of all pneumonia discharges within 48 hours of discharge over a one-year period. We reclassified all pneumonia discharges into four categories based on the Centers for Disease Control and Prevention reference standard. Secondary review of discordant classifications was performed by discharging providers to determine final diagnosis. The primary outcome was readmission rate within 30 days by pneumonia clinical classification category.Results: Two hundred seventy-eight discharges were reviewed, with overall readmission rate of 18.0%. Independent review confirmed 191 cases (68.7%) as definite or probable pneumonia, while 87 cases (31.3%) were classified as either probably not or not pneumonia. Readmission rates differed significantly between cases reviewed as pneumonia vs. those reviewed as unlikely to be pneumonia (14.1% vs. 26.4%, p < .02). Discharging attending physicians agreed with independent reviewers in 58/87 cases (66.6%), attenuating readmission differences (rate 16.8% for those finalized as pneumonia vs. 22.4% for another diagnosis, p = .32). Pneumonia readmissions were reduced by 1.2% using the classification standard.Conclusions: Complex conditions such as pneumonia may be inaccurately diagnosed in many patients, potentially affecting penalties associated with readmission rates. Therefore, it is imperative that healthcare systems adopt systematic review processes to standardize diagnoses and improve comparative administrative data.

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