scholarly journals 327. Assessment of Bacterial Co-infection Rates and Antibiotic Exposure in COVID-19 Patients

2021 ◽  
Vol 8 (Supplement_1) ◽  
pp. S269-S269
Author(s):  
Adam J Luetkemeyer ◽  
Nick Bennett ◽  
Laura Aragon ◽  
Jeannette Ploetz ◽  
Sarah E Boyd
Keyword(s):  
Health System ◽  
Medical Center ◽  
Academic Medical Center ◽  
Antibiotic Use ◽  
Antibiotic Exposure ◽  
Infection Rates ◽  
Targeted Interventions ◽  
Days Of Therapy ◽  
Secondary Outcomes ◽  
Length Of Therapy

Abstract Background COVID-19 pandemic data suggest risk for bacterial co-infection upon hospital presentation remain extremely low. Despite low co-infection rates, antibiotics are prescribed for most patients. Current data are limited regarding institutional-specific change in antibiotic use over the course of the pandemic. Given the low rates of co-infections, Saint Luke’s Health System’s COVID-19 Treatment Taskforce developed a COVID-19 evaluation and treatment order set which included procalcitonin (PCT) . As co-infection literature emerged, active education was provided, and order sets were modified to provide passive education regarding co-infection rates. We aimed to assess antibiotic practice changes as data and strategies to influence use evolved during the pandemic. Methods This was a multi-center, single health-system retrospective cohort study. Ten community hospitals and 1 academic medical center were included in analysis. Inclusion criteria were age ≥18 years, admitted during April or September 2020 and had a positive COVID-19 result on admission. Patients were excluded if they were readmitted for COVID-19 related issues. Both primary and secondary outcomes were analyzed from the first 7 days after admission. The primary outcome was rate of respiratory bacterial co-infections. This was determined through sputum and blood cultures, urinary antigens including Streptococcus pneumoniae and Legionella, and PCT. Secondary outcomes included rate of antibiotic use, antibiotic days of therapy (DOT), length of therapy, and antibiotic use trends. Baseline Characteristics Results A total of 294 patients were included with 69 patients in April 2020 and 225 in September 2020. Primary and secondary results are shown in Table 2. Rate of culture-confirmed bacterial co-infection when examining April 2020 was 4.38% and 4.44 % in September 2020. Antibiotic uses, antibiotic DOT, and length of therapy were all significantly lower in September 2020 compared to April 2020. Conclusion Our results show bacterial co-infections were extremely low in our health system. Despite positive trends in antibiotic use, prescribing remained high. More targeted interventions to decrease antibiotic exposure in COVID-19 patients are needed. Disclosures All Authors: No reported disclosures

scholarly journals 154. Antibiotic Use During Three Separate Waves of the COVID-19 Pandemic at a Large Academic Medical Center in Detroit, MI

2021 ◽  
Vol 8 (Supplement_1) ◽  
pp. S188-S189
Author(s):  
Deepika Sivakumar ◽  
Shelbye R Herbin ◽  
Raymond Yost ◽  
Marco R Scipione
Keyword(s):  
Retrospective Review ◽  
Bacterial Pneumonia ◽  
Medical Center ◽  
Academic Medical Center ◽  
Antibiotic Use ◽  
Percent Change ◽  
Academic Medical ◽  
Days Of Therapy ◽  
Time Periods ◽  
The Impact

Abstract Background Inpatient antibiotic use early on in the COVID-19 pandemic may have increased due to the inability to distinguish between bacterial and COVID-19 pneumonia. The purpose of this study was to determine the impact of COVID-19 on antimicrobial usage during three separate waves of the COVID-19 pandemic. Methods We conducted a retrospective review of patients admitted to Detroit Medical Center between 3/10/19 to 4/24/21. Median days of therapy per 1000 adjusted patient days (DOT/1000 pt days) was evaluated for all administered antibiotics included in our pneumonia guidelines during 4 separate time periods: pre-COVID (3/3/19-4/27/19); 1st wave (3/8/20-5/2/20); 2nd wave (12/6/21-1/30/21); and 3rd wave (3/7/21-4/24/21). Antibiotics included in our pneumonia guidelines include: amoxicillin, azithromycin, aztreonam, ceftriaxone, cefepime, ciprofloxacin, doxycycline, linezolid, meropenem, moxifloxacin, piperacillin-tazobactam, tobramycin, and vancomycin. The percent change in antibiotic use between the separate time periods was also evaluated. Results An increase in antibiotics was seen during the 1st wave compared to the pre-COVID period (2639 [IQR 2339-3439] DOT/1000 pt days vs. 2432 [IQR 2291-2499] DOT/1000 pt days, p=0.08). This corresponded to an increase of 8.5% during the 1st wave. This increase did not persist during the 2nd and 3rd waves of the pandemic, and the use decreased by 8% and 16%, respectively, compared to the pre-COVID period. There was an increased use of ceftriaxone (+6.5%, p=0.23), doxycycline (+46%, p=0.13), linezolid (+61%, p=0.014), cefepime (+50%, p=0.001), and meropenem (+29%, p=0.25) during the 1st wave compared to the pre-COVID period. Linezolid (+39%, p=0.013), cefepime (+47%, p=0.08) and tobramycin (+47%, p=0.05) use remained high during the 3rd wave compared to the pre-COVID period, but the use was lower when compared to the 1st and 2nd waves. Figure 1. Antibiotic Use 01/2019 to 04/2019 Conclusion Antibiotics used to treat bacterial pneumonia during the 1st wave of the pandemic increased and there was a shift to broader spectrum agents during that period. The increased use was not sustained during the 2nd and 3rd waves of the pandemic, possibly due to the increased awareness of the differences between patients who present with COVID-19 pneumonia and bacterial pneumonia. Disclosures All Authors: No reported disclosures

scholarly journals 1116. Impact of Antimicrobial Stewardship Incentive Goals for Pharmacists on Overall Antibiotic Use and Appropriate Duration of Therapy in Urinary Tract Infections

2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S397-S397
Author(s):  
Matthew A Miller ◽  
Mattie Huffman ◽  
Nichole Neville ◽  
Misha Huang ◽  
Gerard Barber
Keyword(s):  
Urinary Tract ◽  
Antimicrobial Stewardship ◽  
Group Performance ◽  
Respiratory Infections ◽  
Medical Center ◽  
Academic Medical Center ◽  
Antibiotic Use ◽  
Days Of Therapy ◽  
Essential Resource ◽  
Tract Infections

Abstract Background Urinary tract (UTI), skin and soft tissue, and respiratory infections are among the most frequently reported indications for antibiotics, such that focusing stewardship efforts here would expectedly have dramatic effects. Antimicrobial stewardship (AMS) programs vary in structure and available resources. At the University of Colorado Hospital, a 740-bed academic medical center, dedicated resources for AMS are limited to a pharmacist, pharmacy resident, and physician; however, there is a large clinical pharmacist group. For the past 2 years, pharmacy management incorporated AMS targets as group goals tied to performance bonuses. Methods This is a descriptive report utilizing incentives to achieve AMS goals. The first goal (July 1, 2016 to June 30, 2017) set out to reduce inpatient antibiotic use by 10%. The second goal (July 1, 2018 to June 30, 2018) was a 10% reduction in median antibiotic duration for UTIs. The AMS team provided guidelines, education, and oversight throughout target periods. Antibiotic use was calculated as days of therapy (DOT) per 1000 patient-days. Data related to UTI treatment was collected retrospectively on a quarterly basis. This was compared with baseline data previously collected during a statewide hospital stewardship collaborative project. Results During the first period, overall antibiotic use declined from 497 to 403 DOT per 1000 patient-days (18.9%), and broad-spectrum antibiotic use declined 22%. During the second period, 30 patient charts were reviewed quarterly, and the median UTI duration declined from 10 to 7 days (P = 0.002). The most common UTI diagnoses were similar between periods with complicated cystitis and pyelonephritis comprising 60–70% of cases. The 30-day readmission rate was not different between the baseline and goal period, 11% vs. 6% respectively (P = 0.18). Conclusion The use of group pharmacist goals tied to annual performance bonuses was effective in achieving AMS goals at our institution. In larger facilities with fewer dedicated AMS personnel, clinical pharmacists covering ward and intensive care units are an essential resource to achieving AMS goals. Group performance incentives may be a feasible strategy to generate interest and motivation to achieve AMS program goals. Disclosures All authors: No reported disclosures.

scholarly journals Characteristics of Patients Infected With Clostridioides Difficile at a Saudi Tertiary Academic Medical Center and Assessment of Antibiotic Duration

2020 ◽  
Author(s):  
Khadijah M. Alammari ◽  
Abrar K. Thabit
Keyword(s):  
Medical Center ◽  
Descriptive Analysis ◽  
Academic Medical Center ◽  
Prior Exposure ◽  
Antibiotic Exposure ◽  
Clostridioides Difficile ◽  
Academic Medical ◽  
Days Of Therapy ◽  
Acid Suppression Therapy ◽  
Hospital Acquired

Abstract BackgroundClostridioides difficile infection (CDI) is a common hospital-associated diarrhea. Several antibiotics commonly associate with CDI; however, limited data are available on the duration of exposure prior to CDI development. Moreover, studies on the characteristics of CDI patients in Saudi Arabia are limited. Therefore, the objective of this study was to characterize CDI patients identified over 10 years and assess antibiotic days of therapy (DOT) prior to CDI.MethodsThis was a retrospective descriptive analysis of CDI patients identified via laboratory testing at a Saudi tertiary academic medical center between December 2007-January 2018. Patients characteristics, prior exposure to known CDI risk factors, and DOT of antibiotics prior to CDI incidence were assessed.ResultsA total of 162 patients were included. Median age was 61.5 years. Most cases were hospital-acquired (70.4%) and admitted to general medical wards (81.5%). Prior exposure to antibiotics and acid suppression therapy were reported with the majority (75.9 and 75.3%, respectively). The most frequently prescribed antibiotics were piperacillin/tazobactam, ceftriaxone, meropenem, and ciprofloxacin with median DOTs prior to CDI incidence of 16.5, 16, 16, and 28 days, respectively. The distribution of DOT was significantly different for piperacillin/tazobactam, ceftriaxone, and ciprofloxacin in different units (P < 0.05). Counterintuitively, patients in non-ICU wards had the shortest antibiotic exposure prior to CDI development.ConclusionAs CDI is a common hospital-acquired infection resulting mainly from antibiotic exposure, results from this study indicate the need to revise antibiotic therapy to assess necessity and discontinue it when deemed unnecessary within the first two weeks.

scholarly journals 118. Optimizing the management of coagulase-negative staphylococci (CoNS) contaminants by reporting the species name

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S72-S73
Author(s):  
Tyler J Stone ◽  
Elizabeth Palavecino ◽  
Elizabeth Palavecino ◽  
Smith Jessica ◽  
James Beardsley ◽  
...  
Keyword(s):  
Medical Center ◽  
Academic Medical Center ◽  
Retrospective Chart Review ◽  
Antibiotic Use ◽  
Research Support ◽  
Coagulase Negative Staphylococci ◽  
Days Of Therapy ◽  
Before And After ◽  
True Infection ◽  
Research Grant

Abstract Background CoNS are common isolates in blood cultures (BCx), but many are contaminants contributing to unnecessary antibiotic use. When CoNS are isolated from multiple BCx, different species and/or different susceptibility patterns may suggest contamination. Species reporting of CoNS is not performed at all hospitals. The purpose of this study was to characterize antibiotic use attributable to CoNS positive (pos) BCx and determine if reporting CoNS species could help reduce unnecessary antibiotics. Methods A retrospective chart review was conducted of inpatients at an academic medical center before (Jan-June 2017) and after (Sept 2019-Feb 2020) implementation of CoNS species reporting. CoNS species were hidden to providers in the before group. Patients (pts) ≥18 years old with ≥1 BCx pos for CoNS were included. Pts who were neutropenic, treated with anti-staphylococcal antibiotics (SAbx) for a non-CoNS infection, or treated for CoNS with non-SAbx were excluded. Pts were categorized by number of pos BCx (1 vs ≥2). In each period, a random sample of pts was screened until 50 pts with 1 CoNS pos BCx were included. Additional data were collected until at least 50 pts with ≥2 pos BCx were included in each period. The primary outcome was use of SAbx among pts in each group before and after species reporting. Additional analyses were performed to compare the use of SAbx among subsets with same/different species and/or susceptibilities. Results 203 pts were included, 102 before and 101 after. 51% and 50% had ≥2 pos BCx in the before and after groups, respectively. S. epidermidis was isolated more frequently in pts with ≥2 pos BCx (75% vs 50%, p&lt; 0.001). 77% of pts received at least 1 SAbx (97% vancomycin). Median SAbx days of therapy per pt (DOTs) was greater among pts with ≥2 pos BCx (1 vs 5, p&lt; 0.001). There was no difference in overall DOTs between the two periods (3 vs 2, p=0.25). However, among pts with ≥2 pos BCx, median DOTs was less in the after period (6.5 vs 3, p=0.016). Among pts with 1 pos BCx, median DOTs was 1 in both periods. Median Anti-Staphylococcal Antibiotic Days of Therapy per Patient (≥ 2 positive cultures) Conclusion CoNS species reporting was associated with decreased SAbx use for pts with ≥2 pos BCx, suggesting that knowing the species helps in determining likelihood of true infection. Institutions may realize improved stewardship metrics of SAbx by implementing CoNS species reporting for pos BCx. Disclosures Tyler J. Stone, PharmD, Paratek (Research Grant or Support) Elizabeth Palavecino, MD, Paratek (Grant/Research Support)Paratek (Grant/Research Support) John Williamson, PharmD, Paratek (Research Grant or Support)

scholarly journals Clinical Team Distribution and Antibiotic Use Patterns at a Tertiary-Care Academic Medical Center

2020 ◽  
Vol 41 (S1) ◽  
pp. s168-s169
Author(s):  
Rebecca Choudhury ◽  
Ronald Beaulieu ◽  
Thomas Talbot ◽  
George Nelson
Keyword(s):  
Medical Center ◽  
Academic Medical Center ◽  
Tertiary Care ◽  
Antibiotic Use ◽  
Care Hospital ◽  
Hospital Units ◽  
Antibiotic Utilization ◽  
Academic Medical ◽  
Level Data ◽  
Utilization Data

Background: As more US hospitals report antibiotic utilization to the CDC, standardized antimicrobial administration ratios (SAARs) derived from patient care unit-based antibiotic utilization data will increasingly be used to guide local antibiotic stewardship interventions. Location-based antibiotic utilization surveillance data are often utilized given the relative ease of ascertainment. However, aggregating antibiotic use data on a unit basis may have variable effects depending on the number of clinical teams providing care. In this study, we examined antibiotic utilization from units at a tertiary-care hospital to illustrate the potential challenges of using unit-based antibiotic utilization to change individual prescribing. Methods: We used inpatient pharmacy antibiotic use administration records at an adult tertiary-care academic medical center over a 6-month period from January 2019 through June 2019 to describe the geographic footprints and AU of medical, surgical, and critical care teams. All teams accounting for at least 1 patient day present on each unit during the study period were included in the analysis, as were all teams prescribing at least 1 antibiotic day of therapy (DOT). Results: The study population consisted of 24 units: 6 ICUs (25%) and 18 non-ICUs (75%). Over the study period, the average numbers of teams caring for patients in ICU and non-ICU wards were 10.2 (range, 3.2–16.9) and 13.7 (range, 10.4–18.9), respectively. Units were divided into 3 categories by the number of teams, accounting for ≥70% of total patient days present (Fig. 1): “homogenous” (≤3), “pauciteam” (4–7 teams), and “heterogeneous” (>7 teams). In total, 12 (50%) units were “pauciteam”; 7 (29%) were “homogeneous”; and 5 (21%) were “heterogeneous.” Units could also be classified as “homogenous,” “pauciteam,” or “heterogeneous” based on team-level antibiotic utilization or DOT for specific antibiotics. Different patterns emerged based on antibiotic restriction status. Classifying units based on vancomycin DOT (unrestricted) exhibited fewer “heterogeneous” units, whereas using meropenem DOT (restricted) revealed no “heterogeneous” units. Furthermore, the average number of units where individual clinical teams prescribed an antibiotic varied widely (range, 1.4–12.3 units per team). Conclusions: Unit-based antibiotic utilization data may encounter limitations in affecting prescriber behavior, particularly on units where a large number of clinical teams contribute to antibiotic utilization. Additionally, some services prescribing antibiotics across many hospital units may be minimally influenced by unit-level data. Team-based antibiotic utilization may allow for a more targeted metric to drive individual team prescribing.Funding: NoneDisclosures: None

scholarly journals Implementation of a Resource-Efficient Indirect Handshake Stewardship Model at an Academic Medical Center

2020 ◽  
Vol 41 (S1) ◽  
pp. s272-s272
Author(s):  
Ronald Beaulieu ◽  
Milner Staub ◽  
Thomas Talbot ◽  
Matthew Greene ◽  
Gowri Satyanarayana ◽  
...  
Keyword(s):  
Hospital Mortality ◽  
Antibiotic Stewardship ◽  
Medical Center ◽  
Academic Medical Center ◽  
Communication Model ◽  
Contributing Factors ◽  
Stewardship Program ◽  
Antimicrobial Utilization ◽  
Data Feedback ◽  
Days Of Therapy

Background: Handshake antibiotic stewardship is an effective but resource-intensive strategy for reducing antimicrobial utilization. At larger hospitals, widespread implementation of direct handshake rounds may be constrained by available resources. To optimize resource utilization and mirror handshake antimicrobial stewardship, we designed an indirect feedback model utilizing existing team pharmacy infrastructure. Methods: The antibiotic stewardship program (ASP) utilized the plan-do-study-act (PDSA) improvement methodology to implement an antibiotic stewardship intervention centered on antimicrobial utilization feedback and patient-level recommendations to optimize antimicrobial utilization. The intervention included team-based antimicrobial utilization dashboard development, biweekly antimicrobial utilization data feedback of total antimicrobial utilization and select drug-specific antimicrobial utilization, and twice weekly individualized review by ASP staff of all patients admitted to the 5 hospitalist teams on antimicrobials with recommendations (discontinuation, optimization, etc) relayed electronically to team-based pharmacists. Pharmacists were to communicate recommendations as an indirect surrogate for handshake antibiotic stewardship. As reviewer duties expanded to include a rotation of multiple reviewers, a standard operating procedure was created. A closed-loop communication model was developed to ensure pharmacist feedback receipt and to allow intervention acceptance tracking. During implementation optimization, a team pharmacist-champion was identified and addressed communication lapses. An outcome measure of days of therapy per 1,000 patient days present (DOT/1,000 PD) and balance measure of in-hospital mortality were chosen. Implementation began April 5, 2019, and data were collected through October 31, 2019. Preintervention comparison data spanned December 2017 to April 2019. Results: Overall, 1,119 cases were reviewed by the ASP, of whom 255 (22.8%) received feedback. In total, 236 of 362 recommendations (65.2%) were implemented (Fig. 1). Antimicrobial discontinuation was the most frequent (147 of 362, 40.6%), and most consistently implemented (111 of 147, 75.3%), recommendation. The DOT/1,000 PD before the intervention compared to the same metric after intervention remained unchanged (741.1 vs 725.4; P = .60) as did crude in-hospital mortality (1.8% vs 1.7%; P = .76). Several contributing factors were identified: communication lapses (eg, emails not received by 2 pharmacists), intervention timing (mismatch of recommendation and rounding window), and individual culture (some pharmacists with reduced buy-in selectively relayed recommendations). Conclusion: Although resource efficient, this model of indirect handshake did not significantly impact total antimicrobial utilization. Through serial PDSA cycles, implementation barriers were identified that can be addressed to improve the feedback process. Communication, expectation management, and interpersonal relationship development emerged as critical issues contributing to poor recommendation adherence. Future PDSA cycles will focus on streamlining processes to improve communication among stakeholders.Funding: NoneDisclosures: None

Comparison of rates of adherence to oral chemotherapy medications filled through an internal health-system specialty pharmacy vs external specialty pharmacies

2020 ◽  
Vol 77 (14) ◽  
pp. 1118-1127
Author(s):  
Colleen C McCabe ◽  
Meagan S Barbee ◽  
Marley L Watson ◽  
Alyssa Billmeyer ◽  
Collin E Lee ◽  
...  
Keyword(s):  
Health System ◽  
Multiple Regression ◽  
Patient Adherence ◽  
Medical Center ◽  
Academic Medical Center ◽  
Medication Possession Ratio ◽  
Primary Objective ◽  
Wilcoxon Test ◽  
Tumor Type ◽  
Specialty Pharmacy

Abstract Purpose The primary objective of the study described here was to compare rates of patient adherence to anticancer medications filled at an internal health system specialty pharmacy (HSSP) vs external specialty pharmacies. The primary outcome was the medication possession ratio (MPR), and the secondary outcomes included proportion of days covered (PDC), and time to treatment (TTT). Methods A retrospective chart review was conducted to compare the MPR, PDC, and TTT for patients who received oral anticancer therapy using prescriptions claim data. A t test or Wilcoxon test was used to explore the effect of demographic and other factors on adherence and TTT. A multiple regression model with backward elimination was used to analyze significant factors to identify covariates significantly associated with the outcomes. Results Of the 300 patients screened for study inclusion, 204 patients whose records had complete MPR and PDC data and 164 whose records had TTT data were included in the analysis. There were significant between-group differences in mean MPR and mean PDC with patient use of the HSSP vs external pharmacies (1.00 vs 0.75 [P &lt; 0.001] and 0.95 vs 0.7 [P &lt; 0.001], respectively). Pharmacy type (P = 0.024) and tumor type (P = 0.048) were significantly associated with TTT. Conclusion The multiple regression analysis indicated that oncology patients who filled their anticancer medication precriptions at an internal HSSP at an academic medical center had significantly higher adherence, as measured by MPR and PDC, and quicker TTT than those who filled their prescriptions at an external specialty pharmacy.

scholarly journals Mounting a Regional Response to the COVID-19 Pandemic: Another Reason to “Keep” Your Lab

2020 ◽  
Vol 144 (11) ◽  
pp. 1321-1324
Author(s):  
Tamera A. Paczos
Keyword(s):  
Health System ◽  
Medical Center ◽  
Academic Medical Center ◽  
Diagnostic Testing ◽  
Turnaround Time ◽  
Test Method ◽  
Regional Health ◽  
The Core ◽  
Local Access ◽  
Average Turnaround Time

Context.— Declining reimbursement shifts hospital laboratories from system assets to cost centers. This has resulted in increased outsourcing of laboratory services, which can jeopardize a hospital systems' ability to respond to a health care crisis. Objectives.— To demonstrate that investment in a core laboratory serving an academic medical center equipped a regional health system to respond to the Coronavirus disease 2019 (COVID-19) pandemic. Design.— COVID-19 diagnostic testing data were analyzed. Volumes were evaluated by result date (March 16, 2020–May 6, 2020), and the average of received-to-verified turnaround time was calculated and compared for in-house and send-out testing, and different in-house testing methodologies. Results.— Daily viral diagnostic testing capacity increased by greater than 3000% (from 21 tests per day to 658 tests per day). Total viral diagnostic testing reported by the core laboratory increased by 128 times during 22 days of test method validation and 826 times during the analysis period, while average turnaround time per day for send-out testing increased from 3.7 days to 21 days. Decreased overall average turnaround time was observed at the core laboratory (0.45 days) versus send-out testing (7.63 days) (P &lt; .001). Conclusions.— Investment in a core laboratory provided the health system with the necessary expertise and resources to mount a robust response to the pandemic. Local access to testing allowed rapid triage of patients and conservation of scarce personal protective equipment (PPE). In addition, the core laboratory was able to support regional health departments and several hospitals outside of the system.

scholarly journals Integration of an Academic Medical Center and a Large Health System: Implications for Pharmacy

2019 ◽  
Vol 54 (3) ◽  
pp. 170-174
Author(s):  
Brian L. Erstad ◽  
Tina Aramaki ◽  
Kurt Weibel
Keyword(s):  
Health System ◽  
Health Systems ◽  
Integration Method ◽  
Medical Center ◽  
Academic Medical Center ◽  
Lessons Learned ◽  
Faculty Members ◽  
Pharmacy Services ◽  
Academic Medical ◽  
High Level

Objective: To provide lessons learned for colleges of pharmacy and large health systems that are contemplating or in the process of undergoing integration. Method: This report describes the merger of an academic medical center and large health system with a focus on the implications of the merger for pharmacy from the perspectives of both a college of pharmacy and a health system’s pharmacy services. Results: Overarching pharmacy issues to consider include having an administrator from the college of pharmacy directly involved in the merger negotiation discussions, having at least one high-level administrator from the college of pharmacy and one high-level pharmacy administrator from the health system involved in ongoing discussions about implications of the merger and changes that are likely to affect teaching, research, and clinical service activities, having focused discussions between college and health system pharmacy administrators on the implications of the merger on experiential and research-related activities, and anticipating concerns by clinical faculty members affected by the merger. Conclusion: The integration of a college of pharmacy and a large health system during the acquisition of an academic medical center can be challenging for both organizations, but appropriate pre- and post-merger discussions between college and health system pharmacy administrators that include a strategic planning component can assuage concerns and problems that are likely to arise, increasing the likelihood of a mutually beneficial collaboration.

Sign in / Sign up

Export Citation Format

Share Document