- Browse by Author
Browsing by Author "Flanagan, Mindy"
Now showing 1 - 10 of 15
Results Per Page
Sort Options
Item A Retrospective Review of 30-Day Hospital Readmission Risk After Open Heart Surgery in Patients With Atrial Fibrillation(Springer Nature, 2023-09-22) Rao, Varun; DeLeon, Genaro; Thamba, Aish; Flanagan, Mindy; Nickel, Kathleen; Gerue, Michael; Gray, Douglas; Neurological Surgery, School of MedicineIntroduction: Readmission rates after open heart surgery (OHS) remain an important clinical issue. The causes are varied, with identifying risk factors potentially providing valuable information to reduce healthcare costs and the rate of post-operative complications. This study aimed to characterize the reasons for 30-day hospital readmission rates of patients after open heart surgery. Methods: All patients over 18 years of age undergoing OHS at a community hospital from January 2020 through December 2020 were identified. Demographic data, medical history, operative reports, post-operative complications, and telehealth interventions were obtained through chart review. Descriptive statistics and readmission rates were calculated, along with a logistic regression model, to understand the effects of medical history on readmission. Results: A total of 357 OHS patients met the inclusion criteria for the study. Within the population, 8.68% of patients experienced readmission, 10.08% had an emergency department (ED) visit, and 95.80% had an outpatient office visit. A history of atrial fibrillation (AFib) significantly predicted 30-day hospital readmissions but not ED or outpatient office visits. Telehealth education was delivered to 66.11% of patients. Conclusion: The study investigated factors associated with 30-day readmission following OHS. AFib patients were more likely to be readmitted than patients without atrial fibrillation. No other predictors of readmission, ED visits, or outpatient office visits were found. Patients reporting symptoms of tachycardia, pain, dyspnea, or "other" could be at increased risk for readmission.Item The association of COMT genotype with buproprion treatment response in the treatment of major depressive disorder(Wiley, 2020-05-27) Fawver, Jay; Flanagan, Mindy; Smith, Thomas; Drouin, Michelle; Mirro, Michael; BioHealth Informatics, School of Informatics and ComputingBackground Pharmacodynamics and pharmacogenetics are being explored in pharmacological treatment response for major depressive disorder (MDD). Interactions between genotype and treatment response may be dose dependent. In this study, we examined whether MDD patients with Met/Met, Met/Val, and Val/Val COMT genotypes differed in their response to bupropion in terms of depression scores. Methods This study utilized a convenience sample of 241 adult outpatients (≥18 years) who met DSM‐5 criteria for MDD and had visits at a Midwest psychopharmacology clinic between February 2016 and January 2017. Exclusion criteria included various comorbid medical, neurological, and psychiatric conditions and current use of benzodiazepines or narcotics. Participants completed genetic testing and the 9 question patient‐rated Patient Health Questionnaire (PHQ‐9) at each clinic visit (M = 3.8 visits, SD = 1.5) and were prescribed bupropion or another antidepressant drug. All participants were adherent to pharmacotherapy treatment recommendations for >2 months following genetic testing. Results Participants were mostly Caucasian (85.9%) outpatients (154 female and 87 male) who were 44.5 years old, on average (SD = 17.9). For Val carriers, high bupropion doses resulted in significantly lower PHQ‐9 scores than no bupropion (t(868) = 5.04, p < .001) or low dose bupropion (t(868) = 3.29, p = .001). Val carriers differed significantly from Met/Met patients in response to high dose bupropion (t(868) = −2.03, p = .04), but not to low dose bupropion. Conclusion High‐dose bupropion is beneficial for MDD patients with Met/Val or Val/Val COMT genotypes, but not for patients with Met/Met genotype. Prospective studies are necessary to replicate this pharmacodynamic relationship between bupropion and COMT genotypes and explore economic and clinical outcomes.Item Conceptualizing care partners' burden, stress, and support for reintegrating Veterans: a mixed methods study(Frontiers Media, 2024-02-19) Rattray, Nicholas A.; Flanagan, Mindy; Mann, Allison; Danson, Leah; Do, Ai-Nghia; Natividad, Diana; Spontak, Katrina; True, Gala; Medicine, School of MedicineBackground: People who support Veterans as they transition from their military service into civilian life may be at an increased risk of psychological distress. Existing studies focus primarily on paid family caregivers, but few studies include spouses and informal non-family "care partners." We sought to identify key challenges faced by care partners of Veterans with invisible injuries. Methods: Semi-structured interviews were conducted with 36 individuals involved in supporting a recently separated US military Veteran enrolled in a 2-year longitudinal study. CPs completed validated measures on perceived stress, caregiving burden, quality of their relationship, life satisfaction, and flourishing. Independent t-tests were used to compare cases in these groups on caregiving burden, quality of their relationship, life satisfaction, and flourishing. Care partners were categorized as reporting high and low levels of stress. Exemplar cases were used to demonstrate divergences in the experiences of CPs with different levels of stress over time. Results: Care partners reported shifts in self-perception that occurred from supporting a Veteran, emphasizing how they helped Veterans navigate health systems and the processes of disclosing health and personal information in civilian contexts. Exemplar cases with high and low burdens demonstrated divergent experiences in self-perception, managing multi-faceted strain, and coping with stress over time. Case studies of specific care partners illustrate how multi-faceted strain shifted over time and is affected by additional burdens from childcare, financial responsibilities, or lack of education on mental health issues. Conclusions: Findings suggest the unique needs of individuals who support military Veterans with invisible injuries, highlighting variations and diachronic elements of caregiving. This sample is younger than the typical caregiver sample with implications for how best to support unpaid care partners caring for Veterans in the early to mid-period of their use of VA and civilian health services.Item Development and Validation of a 30-Day In-hospital Mortality Model Among Seriously Ill Transferred Patients: a Retrospective Cohort Study(Springer, 2021) Mahendraker, Neetu; Flanagan, Mindy; Azar, Jose; Williams, Linda S.; Medicine, School of MedicineBackground Predicting the risk of in-hospital mortality on admission is challenging but essential for risk stratification of patient outcomes and designing an appropriate plan-of-care, especially among transferred patients. Objective Develop a model that uses administrative and clinical data within 24 h of transfer to predict 30-day in-hospital mortality at an Academic Health Center (AHC). Design Retrospective cohort study. We used 30 putative variables in a multiple logistic regression model in the full data set (n = 10,389) to identify 20 candidate variables obtained from the electronic medical record (EMR) within 24 h of admission that were associated with 30-day in-hospital mortality (p < 0.05). These 20 variables were tested using multiple logistic regression and area under the curve (AUC)–receiver operating characteristics (ROC) analysis to identify an optimal risk threshold score in a randomly split derivation sample (n = 5194) which was then examined in the validation sample (n = 5195). Participants Ten thousand three hundred eighty-nine patients greater than 18 years transferred to the Indiana University (IU)–Adult Academic Health Center (AHC) between 1/1/2016 and 12/31/2017. Main Measures Sensitivity, specificity, positive predictive value, C-statistic, and risk threshold score of the model. Key Results The final model was strongly discriminative (C-statistic = 0.90) and had a good fit (Hosmer-Lemeshow goodness-of-fit test [X2 (8) =6.26, p = 0.62]). The positive predictive value for 30-day in-hospital death was 68%; AUC-ROC was 0.90 (95% confidence interval 0.89–0.92, p < 0.0001). We identified a risk threshold score of −2.19 that had a maximum sensitivity (79.87%) and specificity (85.24%) in the derivation and validation sample (sensitivity: 75.00%, specificity: 85.71%). In the validation sample, 34.40% (354/1029) of the patients above this threshold died compared to only 2.83% (118/4166) deaths below this threshold. Conclusion This model can use EMR and administrative data within 24 h of transfer to predict the risk of 30-day in-hospital mortality with reasonable accuracy among seriously ill transferred patients.Item Development of a Workflow Integration Survey (WIS) for Implementing Computerized Clinical Decision Support(2011-10) Flanagan, Mindy; Arbuckle, Nicole; Saleem, Jason J.; Militello, Laura G.; Haggstrom, David A.; Doebbeling, Bradley N.Interventions that focus on improving computerized clinical decision support (CDS) demonstrate that successful workflow integration can increase the adoption and use of CDS. However, metrics for assessing workflow integration in clinical settings are not well established. The goal of this study was to develop and validate a survey to assess the extent to which CDS is integrated into workflow. Qualitative data on CDS design, usability, and integration from four sites was collected by direct observation, interviews, and focus groups. Thematic analysis based on the sociotechnical systems theory revealed consistent themes across sites. Themes related to workflow integration included navigation, functionality, usability, and workload. Based on these themes, a brief 12-item scale to assess workflow integration was developed, refined, and validated with providers in a simulation study. To our knowledge, this is one of the first tools developed to specifically measure workflow integration of CDS.Item Examining the Relationship between Clinical Decision Support and Performance Measurement(2009-11) Haggstrom, David A.; Militello, Laura G.; Arbuckle, Nicole; Flanagan, Mindy; Doebbeling, Bradley N.In concept and practice, clinical decision support (CDS) and performance measurement represent distinct approaches to organizational change, yet these two organizational processes are interrelated. We set out to better understand how the relationship between the two is perceived, as well as how they jointly influence clinical practice. To understand the use of CDS at benchmark institutions, we conducted semistructured interviews with key managers, information technology personnel, and clinical leaders during a qualitative field study. Improved performance was frequently cited as a rationale for the use of clinical reminders. Pay-for-performance efforts also appeared to provide motivation for the use of clinical reminders. Shared performance measures were associated with shared clinical reminders. The close link between clinical reminders and performance measurement causes these tools to have many of the same implementation challenges.Item Implementation and staff understanding of shared decision-making in the context of recovery-oriented care across US Veterans Health Administration (VHA) inpatient mental healthcare units: a mixed-methods evaluation(BMJ, 2022-05-30) Eliacin, Johanne; Carter, Jessica; Bass, Emily; Flanagan, Mindy; Salyers, Michelle P.; McGuire, Alan; Psychiatry, School of MedicineObjectives: To examine the understanding and practice of shared decision-making (SDM) within the context of recovery-oriented care across Veterans Health Administration (VHA) inpatient mental healthcare units. Design: VHA inpatient mental health units were scored on the Recovery-Oriented Acute Inpatient Scale (RAIN). Scores on the RAIN item for medication SDM were used to rank each site from lowest to highest. The top 7 and bottom 8 sites (n=15) were selected for additional analyses using a mixed-methods approach, involving qualitative interviews, observation notes and quantitative data. Setting: 34 VHA inpatient mental health units located in every geographical region of the USA. Participants: 55 treatment team members. Results: Our results identified an overarching theme of 'power-sharing' that describes participants' conceptualisation and practice of medication decision-making. Three levels of power sharing emerged from both interview and observational data: (1) No power sharing: patients are excluded from treatment decisions; (2) Limited power sharing: patients are informed of treatment decisions but have limited influence on the decision-making process; and (3) Shared-power: patients and providers work collaboratively and contribute to medication decisions. Comparing interview to observational data, only observational data indicating those themes differentiate top from bottom scoring sites on the RAIN SDM item scores. All but one top scoring sites indicated shared power medication decision processes, whereas bottom sites reflected mostly no power sharing. Additionally, our findings highlight three key factors that facilitate the implementation of SDM: inclusion of veteran in treatment teams, patient education and respect for patient autonomy. Conclusions: Implementation of SDM appears feasible in acute inpatient mental health units. Although most participants were well informed about SDM, that knowledge did not always translate into practice, which supports the need for ongoing implementation support for SDM. Additional contextual factors underscore the value of patients' self-determination as a guiding principle for SDM, highlighting the role of a supporting, empowering and autonomy-generating environment.Item Integrating Clinical Decision Support into Workflow(2011) Doebbeling, Bradley N.; Saleem, Jason; Haggstrom, David; Militello, Laura; Flanagan, Mindy; Arbuckle, Nicole; Kiess, Chris; Hoke, Shawn; Dexter, Paul; Linder, Jeff; Sarbah, Steedman; Burgo, LucillePurpose: The aims were to (1) identify barriers and facilitators related to integration of clinical decision support (CDS) into workflow and (2) develop and test CDS design alternatives. Scope: To better understand CDS integration, we studied its use in practice, focusing on CDS for colorectal cancer (CRC) screening and followup. Phase 1 involved outpatient clinics of four different systems—120 clinic staff and providers and 118 patients were observed. In Phase 2, prototyped design enhancements to the Veterans Administration’s CRC screening reminder were compared against its current reminder in a simulation experiment. Twelve providers participated. Methods: Phase 1 was a qualitative project, using key informant interviews, direct observation, opportunistic interviews, and focus groups. All data were analyzed using a coding template, based on the sociotechnical systems theory, which was modified as coding proceeded and themes emerged. Phase 2 consisted of rapid prototyping of CDS design alternatives based on Phase 1 findings and a simulation experiment to test these design changes in a within-subject comparison. Results: Very different CDS types existed across sites, yet there are common barriers: (1) lack of coordination of “outside” results and between primary and specialty care; (2) suboptimal data organization and presentation; (3) needed provider and patient education; (4) needed interface flexibility; (5) needed technological enhancements; (6) unclear role assignments; (7) organizational issues; and (8) disconnect with quality reporting. Design enhancements positively impacted usability and workflow integration but not workload. Conclusions: Effective CDS design and integration requires: (1) organizational and workflow integration; (2) integrating outside results; (3) improving data organization and presentation in a flexible interface; and (4) providing just-in time education, cognitive support, and quality reporting.Item A National Survey of Patient Completion of Cognitive Behavioral Therapy for Chronic Pain: The Role of Therapist Characteristics, Attempt Rates, and Modification(American Psychological Association, 2021) McGuire, Alan; Matthias, Marianne S.; Kukla, Marina; Henry, Nancy; Carter, Jessica; Flanagan, Mindy; Bair, Matthew J.; Murphy, Jennifer L.; Psychology, School of ScienceThe implementation of evidence-based psychotherapies, including patient-level measures such as penetration and rates of successfully completing a course of therapy, has received increasing attention. While much attention has been paid to the effect of patient-level factors on implementation, relatively little attention has been paid to therapist factors (e.g., professional training, experience). Objective: The current study explores therapists' decisions to offer a particular evidence-based psychotherapy (cognitive behavioral therapy for chronic pain; CBT-CP), whether and how they modify CBT-CP, and the relationship between these decisions and patient completion rates. Methods: The study utilized survey responses from 141 Veterans Affairs therapists certified in CBT-CP. Results: Therapists reported attempting CBT-CP with a little less than one half of their patients with chronic pain (mean = 48.8%, s.d.=35.7). Therapist were generally split between reporting modifying CBT-CP for either very few or most of their patients. After controlling for therapist characteristics and modification, therapist-reported percentage of patients with attempted CBT-CP was positively associated with completion rates, t (111) = 4.57, p<.001. Conclusions: Therapists who attempt CBT-CP more frequently may experience better completion rates, perhaps due to practice effects or contextual factors that support both attempts and completion. Future research should examine this relationship using objective measures of attempt rates and completion.Item The Need for Patient-centered Education Among Patients Newly Diagnosed With a Pituitary Tumor(Endocrine Society, 2021-04-07) Donegan, Diane; Gowan, Tayler; Gruber, Rachel; Cottingham, Ann; Flanagan, Mindy; Erickson, Dana; Imperiale, Thomas F.; Medicine, School of MedicineObjectives: Brain tumors, including pituitary adenomas (PA), cause anxiety and distress, with a high unmet need for information correlating with increased anxiety. Condition-specific education may alleviate anxiety. We explored patients' experience around the diagnosis of a PA and piloted a patient education intervention to address peridiagnostic anxiety in adults diagnosed with PA. Methods: Anxiety, patient satisfaction, patient knowledge, and need for information were measured prior to, immediately after, and 1 month following the appointment in this multimethods study. A phone interview to explore patient diagnostic and intervention experiences was analyzed using qualitative methods. Results: A total of 17 patients participated in the study; 15 completed the interview. The baseline need for information was high. Disease-specific anxiety decreased, and patient knowledge and satisfaction increased significantly after the initial visit. Interview analysis identified 3 main themes: (1) the importance of communication; (2) the need for information; and (3) the impact of the diagnosis on patient experience. Conclusions: For patients with newly diagnosed PA, the diagnostic experience was associated with high levels of anxiety. Patients expressed a need for information. Information delivery reduced anxiety and had a positive impact on patient satisfaction. Practice implications: The study findings suggest a need for a streamlined diagnostic process with readily accessible information.