Karen B Farris

Dr. Karen B Farris

orcid

Research Focus & Metrics

Academic Career Length

27Years (2000-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 September 2006 in Research in Social and Administrative Pharmacy
Verified
Journal Article
Closed access
KHKathleen E. Herbert
Kathleen E. Herbert
JUJulie M. Urmie
Julie M. Urmie
BNBrand A. Newland
Brand A. Newland
KFKaren B Farris
Karen B Farris

18 September 2014 in BMC Health Services Research
Verified
Journal Article
Open access
PDF file
KFKaren B Farris
Karen B Farris
BCBarry L Carter
Barry L Carter
YXYinghui Xu
Yinghui Xu
JDJeffrey D Dawson
Jeffrey D Dawson
CSConstance Shelsky
Constance Shelsky
JBJohn M Brooks
John M Brooks
Pharmacists may improve medication-related outcomes during transitions of care. The aim of the Iowa Continuity of Care Study was to determine if a pharmacist case manager (PCM) providing a faxed discharge medication care plan from a tertiary care institution to primary care could improve medication appropriateness and reduce adverse events, rehospitalization and emergency department visits. Design. Randomized, controlled trial of 945 participants assigned to enhanced, minimal and usual care groups conducted 2007 to 2012. Subjects. Participants with cardiovascular-related conditions and/or asthma or chronic obstructive pulmonary disease were recruited from the University of Iowa Hospital and Clinics following admission to general medicine, family medicine, cardiology or orthopedics. Intervention. The minimal group received admission history, medication reconciliation, patient education, discharge medication list and medication recommendations to inpatient team. The enhanced group also received a faxed medication care plan to their community physician and pharmacy and telephone call 3–5 days post-discharge. Participants were followed for 90 days post-discharge. Main Outcomes and Measures. Medication appropriateness index (MAI), adverse events, adverse drug events and post-discharge healthcare utilization were compared by study group using linear and logistic regression, as models accommodating random effects due to pharmacists indicated little clustering. Study groups were similar at baseline and the intervention fidelity was high. There were no statistically significant differences by study group in medication appropriateness, adverse events or adverse drug events at discharge, 30-day and 90-day post-discharge. The average MAI per medication as 0.53 at discharge and increased to 0.75 at 90 days, and this was true across all study groups. Post-discharge, about 16% of all participants experienced an adverse event, and this did not differ by study group (p > 0.05). Almost one-third of all participants had any type of healthcare utilization within 30 days post-discharge, where 15% of all participants had a 30-day readmission. Healthcare utilization post-discharge was not statistically significant different at 30 or 90 days by study group. The pharmacist case manager did not affect medication use outcomes post-discharge perhaps because quality of care measures were high in all study groups. Clinicaltrials.gov registration: NCT00513903 , August 7, 2007.

1 February 2004 in Journal of Interprofessional Care
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Journal Article
Closed access
SDSherry L Dieleman
Sherry L Dieleman
KFKaren B Farris
Karen B Farris
DFDavid Feeny
David Feeny
JJJeffrey A Johnson
Jeffrey A Johnson
RTRoss T Tsuyuki
Ross T Tsuyuki
SBSandra Brilliant
Sandra Brilliant
(2004). Primary health care teams: team members' perceptions of the collaborative process. Journal of Interprofessional Care: Vol. 18, No. 1, pp. 75-78.

7 December 2021 in JMIR mHealth and uHealth
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Journal Article
Open access
MDMichael P Dorsch
Michael P Dorsch
KFKaren B Farris
Karen B Farris
BRBrigid E Rowell
Brigid E Rowell
SHScott L Hummel
Scott L Hummel
TKTodd M Koelling
Todd M Koelling
Background: The successful management of heart failure (HF) involves guideline-based medical therapy as well as self-management behavior. As a result, the management of HF is moving toward a proactive real-time technological model of assisting patients with monitoring and self-management. Objective: The aim of this paper was to evaluate the efficacy of enhanced self-management via a mobile app intervention on health-related quality of life, self-management, and HF readmissions. Methods: A single-center randomized controlled trial was performed. Participants older than 45 years and admitted for acute decompensated HF or recently discharged in the past 4 weeks were included. The intervention group (“app group”) used a mobile app, and the intervention prompted daily self-monitoring and promoted self-management. The control group (“no-app group”) received usual care. The primary outcome was the change in Minnesota Living with Heart Failure Questionnaire (MLHFQ) score from baseline to 6 and 12 weeks. Secondary outcomes were the Self-Care Heart Failure Index (SCHFI) questionnaire score and recurrent HF admissions. Results: A total of 83 participants were enrolled and completed all baseline assessments. Baseline characteristics were similar between the groups except for the prevalence of ischemic HF. The app group had a reduced MLHFQ at 6 weeks (mean 37.5, SD 3.5 vs mean 48.2, SD 3.7; P=.04) but not at 12 weeks (mean 44.2, SD 4 vs mean 45.9, SD 4; P=.78), compared to the no-app group. There was no effect of the app on the SCHFI at 6 or 12 weeks. The time to first HF readmission was not statistically different between the app group and the no-app group (app group 11/42, 26% vs no-app group 12/41, 29%; hazard ratio 0.89, 95% CI 0.39-2.02; P=.78) over 12 weeks. Conclusions: The adaptive mobile app intervention, which focused on promoting self-monitoring and self-management, improved the MLHFQ at 6 weeks but did not sustain its effects at 12 weeks. No effect was seen on HF self-management measured by self-report. Further research is needed to enhance engagement in the app for a longer period and to determine if the app can reduce HF readmissions in a larger study. Trial Registration: ClinicalTrials.gov NCT03149510; https://clinicaltrials.gov/ct2/show/NCT03149510


15 June 2012 in American Journal of Health-System Pharmacy
Verified
Journal Article
Closed access
PDF file
HCHae Mi Choe
Hae Mi Choe
KFKaren B Farris
Karen B Farris
JSJames G. Stevenson
James G. Stevenson
KTKevin Townsend
Kevin Townsend
HDHeidi L. Diez
Heidi L. Diez
CSConnie J. Standiford
Connie J. Standiford
Purpose The development of a patient-centered medical home (PCMH) health care model and the role of pharmacists in PCMHs at the University of Michigan are described. Summary In 2009, Blue Cross Blue Shield of Michigan (BCBSM) provided financial incentives to physician groups to implement PCMH principles. A partnership was formed among the department of pharmacy, college of pharmacy, and faculty group practice at the University of Michigan Health System (UMHS) to integrate clinical pharmacists into the PCMH model at eight general medicine practices. The rationale was that PCMH pharmacists could assist in managing chronic conditions by substituting or augmenting physician care, help achieve quality indicators, and increase revenue by billing for their services. At the University of Michigan, PCMH pharmacists currently provide direct patient care services at eight general medicine health centers for patients with diabetes, hypertension, hyperlipidemia, and polypharmacy, which are billable using T codes, which are payable to UMHS by most BCBSM plans. In the first year, the number of PCMH pharmacist half-day clinics varied from one to six per health center, and the mean number of patients per half-day clinic ranged from 2.2 to 6. Pharmacists in four PCMHs made more medication changes per visit than the other four, particularly for patients with diabetes. Conclusion At the University of Michigan, PCMH pharmacists currently provide direct patient care services at eight general medicine health centers for patients with diabetes, hypertension, hyperlipidemia, and polypharmacy via referral from physicians.