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Browsing by Author "Haggstrom, David A."
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Item A comparison between perceived rurality and established geographic rural status among Indiana residents(Wolters Kluwer, 2023) Bhattacharyya, Oindrila; Rawl, Susan M.; Dickinson, Stephanie L.; Haggstrom, David A.; Economics, School of Liberal ArtsThe study assessed the association and concordance of the traditional geography-based Rural-Urban Commuting Area (RUCA) codes to individuals' self-reported rural status per a survey scale. The study included residents from rural and urban Indiana, seen at least once in a statewide health system in the past 12 months. Surveyed self-reported rural status of individuals obtained was measured using 6 items with a 7-point Likert scale. Cronbach's alpha was used to measure the internal consistency between the 6 survey response items, along with exploratory factor analysis to evaluate their construct validity. Perceived rurality was compared with RUCA categorization, which was mapped to residential zip codes. Association and concordance between the 2 measures were calculated using Spearman's rank correlation coefficient and Gwet's Agreement Coefficient (Gwet's AC), respectively. Primary self-reported data were obtained through a cross-sectional, statewide, mail-based survey, administered from January 2018 through February 2018, among a random sample of 7979 individuals aged 18 to 75, stratified by rural status and race. All 970 patients who completed the survey answered questions regarding their perceived rurality. Cronbach's alpha value of 0.907 was obtained indicating high internal consistency among the 6 self-perceived rurality items. Association of RUCA categorization and self-reported geographic status was moderate, ranging from 0.28 to 0.41. Gwet's AC ranged from -0.11 to 0.26, indicating poor to fair agreement between the 2 measures based on the benchmark scale of reliability. Geography-based and self-report methods are complementary in assessing rurality. Individuals living in areas of relatively high population density may still self-identify as rural, or individuals with long commutes may self-identify as urban.Item A Patient-Centered Nurse-Supported Primary care-based Collaborative Care Program to Treat Opioid Use Disorder and Depression: Design and Protocol for the MI-CARE Randomized Controlled Trial(Elsevier, 2023) DeBar, Lynn L.; Bushey, Michael A.; Kroenke, Kurt; Bobb, Jennifer F.; Schoenbaum, Michael; Thompson, Ella E.; Justice, Morgan; Zatzick, Douglas; Hamilton, Leah K.; McMullen, Carmit K.; Hallgren, Kevin A.; Benes, Lindsay L.; Forman, David P.; Caldeiro, Ryan M.; Brown, Ryan P.; Campbell, Noll L.; Anderson, Melissa L.; Son, Sungtaek; Haggstrom, David A.; Whiteside, Lauren; Schleyer, Titus K. L.; Bradley, Katharine A.; Psychiatry, School of MedicineBackground: Opioid use disorder (OUD) contributes to rising morbidity and mortality. Life-saving OUD treatments can be provided in primary care but most patients with OUD don't receive treatment. Comorbid depression and other conditions complicate OUD management, especially in primary care. The MI-CARE trial is a pragmatic randomized encouragement (Zelen) trial testing whether offering collaborative care (CC) to patients with OUD and clinically-significant depressive symptoms increases OUD medication treatment with buprenorphine and improves depression outcomes compared to usual care. Methods: Adult primary care patients with OUD and depressive symptoms (n ≥ 800) from two statewide health systems: Kaiser Permanente Washington and Indiana University Health are identified with computer algorithms from electronic Health record (EHR) data and automatically enrolled. A random sub-sample (50%) of eligible patients is offered the MI-CARE intervention: a 12-month nurse-driven CC intervention that includes motivational interviewing and behavioral activation. The remaining 50% of the study cohort comprise the usual care comparison group and is never contacted. The primary outcome is days of buprenorphine treatment provided during the intervention period. The powered secondary outcome is change in Patient Health Questionnaire (PHQ)-9 depression scores. Both outcomes are obtained from secondary electronic healthcare sources and compared in "intent-to-treat" analyses. Conclusion: MI-CARE addresses the need for rigorous encouragement trials to evaluate benefits of offering CC to generalizable samples of patients with OUD and mental health conditions identified from EHRs, as they would be in practice, and comparing outcomes to usual primary care. We describe the design and implementation of the trial, currently underway.Item The accuracy and completeness for receipt of colorectal cancer care using Veterans Health Administration administrative data.(BMC, 2016) Sherer, Eric A.; Fisher, Deborah A.; Barnd, Jeffrey; Jackson, George L.; Provenzale, Dawn; Haggstrom, David A.; Department of Medicine, IU School of MedicineThe National Comprehensive Cancer Network and the American Society of Clinical Oncology have established guidelines for the treatment and surveillance of colorectal cancer (CRC), respectively. Considering these guidelines, an accurate and efficient method is needed to measure receipt of care.Item Advancing the Science of Electronic Health Record Transitions(Springer, 2023) Weiner, Michael; Rinne, Seppo T.; Haggstrom, David A.; Yano, Elizabeth M.; Medicine, School of MedicineItem ASO Visual Abstract: Breast Cancer Screening, Diagnosis, and Surgery During the Pre- and Peri-pandemic—Experience of Patients in a Statewide Health Information Exchange(Springer, 2023) Milgrom, Zheng Z.; Milgrom, Daniel P.; Han, Yan; Hui, Siu L.; Haggstrom, David A.; Fisher, Carla S.; Mendonca, Eneida A.; Pediatrics, School of MedicineThe COVID-19 pandemic affected delivery of breast cancer care, including screening, diagnosis, and surgery. This study (https://doi.org/10.1245/s10434-023-13119-w) compared patient data from 1 year before the outbreak, during lockdown, and 1 year after lockdown to identify changes in patterns or timeliness of care.Item Breast Cancer Screening, Diagnosis, and Surgery during the Pre- and Peri-pandemic: Experience of Patients in a Statewide Health Information Exchange(Springer Nature, 2023) Milgrom, Zheng Z.; Milgrom, Daniel P.; Han, Yan; Hui, Siu L.; Haggstrom, David A.; Fisher, Carla S.; Mendonca, Eneida A.; Pediatrics, School of MedicineBackground: Measures taken to address the COVID-19 pandemic interrupted routine diagnosis and care for breast cancer. The aim of this study was to characterize the effects of the pandemic on breast cancer care in a statewide cohort. Patients and methods: Using data from a large health information exchange, we retrospectively analyzed the timing of breast cancer screening, and identified a cohort of newly diagnosed patients with any stage of breast cancer to further access the information available about their surgical treatments. We compared data for four subgroups: pre-lockdown (preLD) 25 March to 16 June 2019; lockdown (LD) 23 March to 3 May 2020; reopening (RO) 4 May to 14 June 2020; and post-lockdown (postLD) 22 March to 13 June 2021. Results: During LD and RO, screening mammograms in the cohort decreased by 96.3% and 36.2%, respectively. The overall breast cancer diagnosis and surgery volumes decreased up to 38.7%, and the median time to surgery was prolonged from 1.5 months to 2.4 for LD and 1.8 months for RO. Interestingly, higher mean DCIS diagnosis (5.0 per week vs. 3.1 per week, p < 0.05) and surgery volume (14.8 vs. 10.5, p < 0.05) were found for postLD compared with preLD, while median time to surgery was shorter (1.2 months vs. 1.5 months, p < 0.0001). However, the postLD average weekly screening and diagnostic mammogram did not fully recover to preLD levels (2055.3 vs. 2326.2, p < 0.05; 574.2 vs. 624.1, p < 0.05). Conclusions: Breast cancer diagnosis and treatment patterns were interrupted during the lockdown and still altered 1 year after. Screening in primary care should be expanded to mitigate possible longer-term effects of these interruptions.Item Cancer‐related knowledge, beliefs, and behaviors among Hispanic/Latino residents of Indiana(Wiley, 2023) Espinoza-Gutarra, Manuel R.; Rawl, Susan M.; Maupome, Gerardo; O'Leary, Heather A.; Valenzuela, Robin E.; Malloy, Caeli; Golzarri-Arroyo, Lilian; Parker, Erik; Haunert, Laura; Haggstrom, David A.Background: Cancer is the leading cause of death for Hispanics in the USA. Screening and prevention reduce cancer morbidity and mortality. Methods: This study administered a cross‐sectional web‐based survey to self‐identified Hispanic residents in the state of Indiana to assess their cancer‐related knowledge, beliefs, and behaviors, as well as to identify what factors might be associated with cancer screening and prevention. Chi‐square and Fisher's exact test were used to compare associations and logistic regression used to develop both univariate and multivariate regression models. Results: A total of 1520 surveys were completed, median age of respondents was 53, 52% identified as men, 50.9% completed the survey in Spanish, and 60.4% identified the USA as their country of birth. Most were not able to accurately identify ages to begin screening for breast, colorectal, or lung cancer, and there were significant differences in cancer knowledge by education level. US‐born individuals with higher income and education more often believed they were likely to develop cancer and worry about getting cancer. Sixty eight percent of respondents were up‐to‐date with colorectal, 44% with breast, and 61% with cervical cancer screening. Multivariate models showed that higher education, lack of fatalism, older age, lower household income, and unmarried status were associated with cervical cancer screening adherence. Conclusions: Among a Hispanic population in the state of Indiana, factors associated with cervical cancer screening adherence were similar to the general population, with the exceptions of income and marital status. Younger Hispanic individuals were more likely to be adherent with breast and colorectal cancer screening, and given the higher incidence of cancer among older individuals, these results should guide future research and targeted outreach.Item Clinicians as Secondary Users of Patient-Centered Mobile Technology in Complex Healthcare Settings(IEEE, 2015-10) Tunnell, Harry D., IV; Faiola, Anthony J.; Haggstrom, David A.; Srinivas, Preethi; Department of Human-Centered Computing, School of Informatics and ComputingThis paper describes the preliminary research findings and prototype development of a Personal Health Record mobile application. A pilot study about patient-clinician interaction guided by common ground theory was performed. The goal of the pilot study was to gather requirements to support development of a smartphone application to be used in a future experimental study. Findings from the pilot study suggest that smartphones could be used to manage health information considered important for a successful healthcare consultation.Item Clinicians' use of Health Information Exchange technologies for medication reconciliation in the U.S. Department of Veterans Affairs: a qualitative analysis(Springer Nature, 2024-10-08) Snyder, Margie E.; Nguyen, Khoa A.; Patel, Himalaya; Sanchez, Steven L.; Traylor, Morgan; Robinson, Michelle J.; Damush, Teresa M.; Taber, Peter; Mixon, Amanda S.; Fan, Vincent S.; Savoy, April; Dismore, Rachel A.; Porter, Brian W.; Boockvar, Kenneth S.; Haggstrom, David A.; Locke, Emily R.; Gibson, Bryan S.; Byerly, Susan H.; Weiner, Michael; Russ-Jara, Alissa L.; Medicine, School of MedicineBackground: Medication reconciliation is essential for optimizing medication use. In part to promote effective medication reconciliation, the Department of Veterans Affairs (VA) invested substantial resources in health information exchange (HIE) technologies. The objectives of this qualitative study were to characterize VA clinicians' use of HIE tools for medication reconciliation in their clinical practice and to identify facilitators and barriers. Methods: We recruited inpatient and outpatient prescribers (physicians, nurse practitioners, physician assistants) and pharmacists at four geographically distinct VA medical centers for observations and interviews. Participants were observed as they interacted with HIE or medication reconciliation tools during routine work. Participants were interviewed about clinical decision-making pertaining to medication reconciliation and use of HIE tools, and about barriers and facilitators to use of the tools. Qualitative data were analyzed via inductive and deductive approaches using a priori codes. Results: A total of 63 clinicians participated. Over half (58%) were female, and the mean duration of VA clinical experience was 7 (range 0-32) years. Underlying motivators for clinicians seeking data external to their VA medical center were having new patients, current patients receiving care from an external institution, and clinicians' concerns about possible medication discrepancies among institutions. Facilitators for using HIE software were clinicians' familiarity with the HIE software, clinicians' belief that medication information would be available within HIE, and their confidence in the ability to find HIE medication-related data of interest quickly. Six overarching barriers to HIE software use for medication coordination included visual clutter and information overload within the HIE display; challenges with HIE interface navigation; lack of integration between HIE and other electronic health record interfaces, necessitating multiple logins and application switching; concerns with the dependability of HIE medication information; unfamiliarity with HIE tools; and a lack of HIE data from non-VA facilities. Conclusions: This study is believed to be the first to qualitatively characterize clinicians' HIE use with respect to medication reconciliation. Results inform recommendations to optimize HIE use for medication management activities. We expect that healthcare organizations and software vendors will be able to apply the findings to develop more effective and usable HIE information displays.Item Comparison of health information exchange data with self-report in measuring cancer screening(BMC, 2023-07-25) Bhattacharyya, Oindrila; Rawl, Susan M.; Dickinson, Stephanie L.; Haggstrom, David A.; Economics, School of Liberal ArtsBackground: Efficient measurement of the receipt of cancer screening has been attempted with electronic health records (EHRs), but EHRs are commonly implemented within a single health care setting. However, health information exchange (HIE) includes EHR data from multiple health care systems and settings, thereby providing a more population-based measurement approach. In this study, we set out to understand the value of statewide HIE data in comparison to survey self-report (SR) to measure population-based cancer screening. Methods: A statewide survey was conducted among residents in Indiana who had been seen at an ambulatory or inpatient clinical setting in the past year. Measured cancer screening tests included colonoscopy and fecal immunochemical test (FIT) for colorectal cancer, human papilloma virus (HPV) and Pap tests for cervical cancer, and mammogram for breast cancer. For each screening test, the self-reported response for receipt of the screening (yes/no) and 'time since last screening' were compared with the corresponding information from patient HIE to evaluate the concordance between the two measures. Results: Gwet's AC for HIE and self-report of screening receipt ranged from 0.24-0.73, indicating a fair to substantial concordance. For the time since receipt of last screening test, the Gwet's AC ranged from 0.21-0.90, indicating fair to almost perfect concordance. In comparison with SR data, HIE data provided relatively more additional information about laboratory-based tests: FIT (19% HIE alone vs. 4% SR alone) and HPV tests (27% HIE alone vs. 12% SR alone) and less additional information about procedures: colonoscopy (8% HIE alone vs. 23% SR alone), Pap test (13% HIE alone vs. 19% SR alone), or mammography (9% HIE alone vs. 10% SR alone). Conclusion: Studies that use a single data source should consider the type of cancer screening test to choose the optimal data collection method. HIE and self-report both provided unique information in measuring cancer screening, and the most robust measurement approach involves collecting screening information from both HIE and patient self-report.