IU Indianapolis ScholarWorks :: Browsing by Author "Daggy, Joanne K."

Browsing by Author "Daggy, Joanne K."

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A practical approach for incorporating dependence among fields in probabilistic record linkage
(Springer Nature, 2013-08-30) Daggy, Joanne K.; Xu, Huiping; Hui, Siu L.; Gamache, Roland E.; Grannis, Shaun J.; Biostatistics and Health Data Science, Richard M. Fairbanks School of Public Health
Background: Methods for linking real-world healthcare data often use a latent class model, where the latent, or unknown, class is the true match status of candidate record-pairs. This commonly used model assumes that agreement patterns among multiple fields within a latent class are independent. When this assumption is violated, various approaches, including the most commonly proposed loglinear models, have been suggested to account for conditional dependence. Methods: We present a step-by-step guide to identify important dependencies between fields through a correlation residual plot and demonstrate how they can be incorporated into loglinear models for record linkage. This method is applied to healthcare data from the patient registry for a large county health department. Results: Our method could be readily implemented using standard software (with code supplied) to produce an overall better model fit as measured by BIC and deviance. Finding the most parsimonious model is known to reduce bias in parameter estimates. Conclusions: This novel approach identifies and accommodates conditional dependence in the context of record linkage. The conditional dependence model is recommended for routine use due to its flexibility for incorporating conditional dependence and easy implementation using existing software.
Applying human factors principles to alert design increases efficiency and reduces prescribing errors in a scenario-based simulation
(Oxford University Press, 2014-10) Russ, Alissa L.; Zillich, Alan J.; Melton, Brittany L.; Russell, Scott A.; Chen, Siying; Spina, Jeffrey R.; Weiner, Michael; Johnson, Elizabette G.; Daggy, Joanne K.; McAnas, M. Sue; Hawsey, Jason M.; Puleo, Anthony G.; Doebbeling, Bradley N.; Saleem, Jason J.; Medicine Faculty Volunteers, IU School of Medicine
OBJECTIVE: To apply human factors engineering principles to improve alert interface design. We hypothesized that incorporating human factors principles into alerts would improve usability, reduce workload for prescribers, and reduce prescribing errors. MATERIALS AND METHODS: We performed a scenario-based simulation study using a counterbalanced, crossover design with 20 Veterans Affairs prescribers to compare original versus redesigned alerts. We redesigned drug-allergy, drug-drug interaction, and drug-disease alerts based upon human factors principles. We assessed usability (learnability of redesign, efficiency, satisfaction, and usability errors), perceived workload, and prescribing errors. RESULTS: Although prescribers received no training on the design changes, prescribers were able to resolve redesigned alerts more efficiently (median (IQR): 56 (47) s) compared to the original alerts (85 (71) s; p=0.015). In addition, prescribers rated redesigned alerts significantly higher than original alerts across several dimensions of satisfaction. Redesigned alerts led to a modest but significant reduction in workload (p=0.042) and significantly reduced the number of prescribing errors per prescriber (median (range): 2 (1-5) compared to original alerts: 4 (1-7); p=0.024). DISCUSSION: Aspects of the redesigned alerts that likely contributed to better prescribing include design modifications that reduced usability-related errors, providing clinical data closer to the point of decision, and displaying alert text in a tabular format. Displaying alert text in a tabular format may help prescribers extract information quickly and thereby increase responsiveness to alerts. CONCLUSIONS: This simulation study provides evidence that applying human factors design principles to medication alerts can improve usability and prescribing outcomes.
Are Newborn Outcomes Different for Term Babies Who Were Exposed to Antenatal Corticosteroids?
(Elsevier, 2021) McKinzie, Alexandra H.; Yang, Ziyi; Teal, Evgenia; Daggy, Joanne K.; Tepper, Robert S.; Quinney, Sarah K.; Rhoads, Eli; Haneline, Laura S.; Haas, David M.; Obstetrics and Gynecology, School of Medicine
Background: Antenatal corticosteroids improve newborn outcomes for preterm infants. However, predicting which women presenting for threatened preterm labor will have preterm infants is inaccurate, and many women receive antenatal corticosteroids but then go on to deliver at term. Objective: This study aimed to compare the short-term outcomes of infants born at term to women who received betamethasone for threatened preterm labor with infants who were not exposed to betamethasone in utero. Study design: We performed a retrospective cohort study of infants born at or after 37 weeks' gestational age to mothers diagnosed as having threatened preterm labor during pregnancy. The primary neonatal outcomes of interest included transient tachypnea of the newborn, neonatal intensive care unit admission, and small for gestational age and were evaluated for their association with betamethasone exposure while adjusting for covariates using multiple logistic regression. Results: Of 5330 women, 1459 women (27.5%) received betamethasone at a mean gestational age of 32.2±3.3 weeks. The mean age of women was 27±5.9 years and the mean gestational age at delivery was 38.9±1.1 weeks. Women receiving betamethasone had higher rates of maternal comorbidities (P<.001 for diabetes mellitus, asthma, and hypertensive disorder) and were more likely to self-identify as White (P=.022). Betamethasone-exposed neonates had increased rates of transient tachypnea of the newborn, neonatal intensive care unit admission, small for gestational age, hyperbilirubinemia, and hypoglycemia (all, P<.05). Controlling for maternal characteristics and gestational age at delivery, betamethasone exposure was not associated with a diagnosis of transient tachypnea of the newborn (adjusted odds ratio, 1.10; 95% confidence interval, 0.80-1.51), although it was associated with more neonatal intensive care unit admissions (adjusted odds ratio, 1.49; 95% confidence interval, 1.19-1.86) and higher odds of the baby being small for gestational age (adjusted odds ratio, 1.78; 95% confidence interval, 1.48-2.14). Conclusion: Compared with women evaluated for preterm labor who did not receive betamethasone, women receiving betamethasone had infants with higher rates of neonatal intensive care unit admission and small for gestational age. Although the benefits of betamethasone to infants born preterm are clear, there may be negative impacts for infants delivered at term.
Are Newborn Outcomes Different for Term Babies Who Were Exposed to Antenatal Corticosteroids?
(American Journal of Obstetrics and Gynecology, 2021-05-03) McKinzie, Alexandra; Yang, Ziyi; Teal, Evgenia; Daggy, Joanne K.; Tepper, Robert S.; Quinney, Sarah K.; Rhoads, Eli; Haneline, Laura S.; Haas, David M.; Obstetrics and Gynecology, School of Medicine
Background Antenatal corticosteroids improve newborn outcomes for preterm infants. However, predicting which women presenting for threatened preterm labor will have preterm infants is inaccurate and many women receive antenatal corticosteroids but then go on to deliver at term. Objective The purpose of this study was to compare the short-term outcomes of infants born at term to women who received betamethasone (BMZ) for threatened preterm labor to infants who were not exposed to BMZ in utero. Study Design We performed a retrospective cohort study of infants born at or after 37 weeks’ gestational age (GA) to mothers diagnosed with threatened preterm labor during pregnancy. The primary neonatal outcomes of interest included transient tachypnea of the newborn (TTN), neonatal intensive care unit (NICU) admission, and small for gestational age (SGA), and were evaluated for their association with BMZ exposure while adjusting for covariates using multiple logistic regression. Results Of 5330 women, 1459 (27.5%) women received BMZ at a mean GA of 32.2±3.3 weeks. The mean age of women was 27±5.9 years-old and the mean GA at delivery was 38.9±1.1 weeks. Women receiving BMZ had higher rates of maternal comorbidities (P<0.001 for diabetes, asthma, and hypertensive disorder) and were more likely to self-identify as white (P=0.022). BMZ-exposed neonates had increased rates of TTN, NICU admission, SGA, hyperbilirubinemia, and hypoglycemia (all P-values <0.05). Controlling for maternal characteristics and GA at delivery, BMZ exposure was not significantly associated with diagnosis of TTN (aOR 1.10, 95% CI 0.80-1.51), though it was associated with more NICU admissions (aOR 1.49, 95% CI 1.19-1.86) and higher odds of the baby being small for gestational age (SGA, aOR 1.78, 95%CI 1.48 to 2.14). Conclusions Compared to women evaluated for preterm labor that did not receive BMZ, women receiving BMZ had infants with higher rates of NICU admission and SGA. While the benefits of BMZ to infants born preterm are clear, there may be negative impacts for infants delivered at term.
Care Trajectories of Veterans in the Twelve Months following Hospitalization for Acute Ischemic Stroke
(AHA, 2015-10) Arling, Greg; Ofner, Susan; Reeves, Mathew J.; Myers, Laura J.; Williams, Linda S.; Daggy, Joanne K.; Phipps, Michael S.; Chumbler, Neale R.; Bravata, Dawn M.; Department of Neurology, IU School of Medicine
Background—Recovery after a stroke varies greatly between individuals and is reflected by wide variation in the use of institutional and home care services. This study sought to classify veterans according to their care trajectories in the 12 months after hospitalization for ischemic stroke. Methods and Results—The sample consisted of 3811 veterans hospitalized for ischemic stroke in Veterans Health Administration facilities in 2007. Three outcomes—nursing home care, home care, and mortality—were modeled jointly >12 months using latent class growth analysis. Data on Veterans’ care use and cost came from the Veterans Administration and Medicare. Covariates included stroke severity (National Institutes of Health Stroke Scale), functional status (functional independence measure score), age, marital status, chronic conditions, and prestroke ambulation. Five care trajectories were identified: 49% of Veterans had Rapid Recovery with little or no use of care; 15% had a Steady Recovery with initially high nursing home or home care that tapered off; 9% had Long-Term Home Care; 13% had Long-Term Nursing Home Care; and 14% had an Unstable trajectory with multiple transitions between long-term and acute care settings. Care use was greatest for individuals with more severe strokes, lower functioning at hospital discharge, and older age. Average annual costs were highest for individuals with the Long-Term Nursing Home trajectory ($63 082), closely followed by individuals with the Unstable trajectory ($58 720). Individual with the Rapid Recovery trajectory had the lowest costs ($9271). Conclusions—Care trajectories after stroke were associated with stroke severity and functional dependency and they had a dramatic impact on subsequent costs.
A cognitive systems engineering design approach to improve the usability of electronic order forms for medical consultation
(Elsevier, 2018-09) Savoy, April; Militello, Laura G.; Patel, Himalaya; Flanagan, Mindy E.; Russ, Alissa L.; Daggy, Joanne K.; Weiner, Michael; Saleem, Jason J.; Biostatistics, School of Public Health
Background During medical referrals, communication barriers between referring and consulting outpatient clinics delay patients’ access to health care. One notable opportunity for reducing these barriers is improved usefulness and usability of electronic medical consultation order forms. The cognitive systems engineering (CSE) design approach focuses on supporting humans in managing cognitive complexity in sociotechnical systems. Cognitive complexity includes communication, decision-making, problem solving, and planning. Objective The objective of this research was to implement a CSE design approach to develop a template that supports the cognitive needs of referring clinicians and improves referral communication. Methods We conducted interviews and observations with primary care providers and specialists at two major tertiary, urban medical facilities. Using qualitative analysis, we identified cognitive requirements and design guidelines. Next, we designed user interface (UI) prototypes and compared their usability with that of a currently implemented UI at a major Midwestern medical facility. Results Physicians’ cognitive challenges were summarized in four cognitive requirements and 13 design guidelines. As a result, two UI prototypes were developed to support order template search and completion. To compare UIs, 30 clinicians (referrers) participated in a consultation ordering simulation complemented with the think-aloud elicitation method. Oral comments about the UIs were coded for both content and valence (i.e., positive, neutral, or negative). Across 619 comments, the odds ratio for the UI prototype to elicit higher-valenced comments than the implemented UI was 13.5 (95% CI = [9.2, 19.8]), p < .001. Conclusion This study reinforced the significance of applying a CSE design approach to inform the design of health information technology. In addition, knowledge elicitation methods enabled identification of physicians’ cognitive requirements and challenges when completing electronic medical consultation orders. The resultant knowledge was used to derive design guidelines and UI prototypes that were more useful and usable for referring physicians. Our results support the implementation of a CSE design approach for electronic medical consultation orders.
Communication and Activation in Pain to Enhance Relationships and Treat Pain with Equity (COOPERATE): A Randomized Clinical Trial
(Wolters Kluwer, 2024-02) Matthias, Marianne S.; Daggy, Joanne K.; Perkins, Anthony J.; Adams, Jasma; Bair, Matthew J.; Burgess, Diana J.; Eliacin, Johanne; Flores, Perla; Myers, Laura J.; Menen, Tetla; Procento, Philip; Rand, Kevin L.; Salyers, Michelle P.; Shanahan, Mackenzie L.; Hirsh, Adam T.; Medicine, School of Medicine
Racialized disparities in chronic pain care are well-documented and persist despite national priorities focused on health equity. Similar disparities have been observed in patient activation (ie, having the knowledge, confidence, and skills to manage one's health). As such, interventions targeting patient activation represent a novel approach to addressing and reducing disparities in pain care. Communication and Activation in Pain to Enhance Relationships and Treat Pain with Equity is a randomized controlled trial of a 6-session telephone-delivered intervention to increase patient activation for Black patients with chronic pain. Two hundred fifty Black patients from a Midwestern Veterans Affairs medical center were randomized to the intervention or attention control. The primary outcome was patient activation; secondary outcomes included communication self-efficacy, pain, and psychological functioning. Outcomes were assessed at baseline and at 3 (primary endpoint), 6, and 9 months (sustained effects). Analyses used an intent-to-treat approach. Compared with baseline, patient activation increased 4.6 points at 3 months (versus +0.13 in control group, 95% CI: 0.48, 7.34; P = 0.03). These improvements in the intervention group were sustained, with +7 from baseline at 6 months and +5.77 at 9 months, and remained statistically significant from the control group. Communication self-efficacy increased significantly relative to the control group from baseline to 3 months. Pain intensity and interference improved at 3 months, but differences were not significant after adjusting for multiple comparisons. Most other secondary outcomes improved, but group differences were not statistically significant after controlling for multiple comparisons. Results suggest that increasing patient activation is a potentially fruitful path toward improving pain management and achieving health equity.
County-Level Factors Associated With Influenza and COVID-19 Vaccination in Indiana, 2020‒2022
(American Public Health Association, 2024) Kasting, Monica L.; Laily, Alfu; Burney, Heather N.; Head, Katharine J.; Daggy, Joanne K.; Zimet, Gregory D.; Schwab-Reese, Laura M.; Biostatistics and Health Data Science, Richard M. Fairbanks School of Public Health
Objectives: To assess COVID-19 and influenza vaccination rates across Indiana’s 92 counties and identify county-level factors associated with vaccination. Methods: We analyzed county-level data on adult COVID-19 vaccination from the Indiana vaccine registry and 2021 adult influenza vaccination from the Centers for Disease Control and Prevention. We used multiple linear regression (MLR) to determine county-level predictors of vaccinations. Results: COVID-19 vaccination ranged from 31.2% to 87.6% (mean = 58.0%); influenza vaccination ranged from 33.7% to 53.1% (mean = 42.9%). In MLR, COVID-19 vaccination was significantly associated with primary care providers per capita (b = 0.04; 95% confidence interval [CI] = 0.02, 0.05), median household income (b = 0.23; 95% CI = 0.12, 0.34), percentage Medicare enrollees with a mammogram (b = 0.29; 95% CI = 0.08, 0.51), percentage uninsured (b = −1.22; 95% CI = −1.57, −0.87), percentage African American (b = 0.31; 95% CI = 0.19, 0.42), percentage female (b = −0.97; 95% CI = −1.79, ‒0.15), and percentage who smoke (b = −0.75; 95% CI = −1.26, −0.23). Influenza vaccination was significantly associated with percentage uninsured (b = 0.71; 95% CI = 0.22, 1.21), percentage African American (b = −0.07; 95% CI = −0.13, −0.01), percentage Hispanic (b = −0.28; 95% CI = −0.40, −0.17), percentage who smoke (b = −0.85; 95% CI = −1.06, −0.64), and percentage who completed high school (b = 0.54; 95% CI = 0.21, 0.87). The MLR models explained 86.7% (COVID-19) and 70.2% (influenza) of the variance. Conclusions: Factors associated with COVID-19 and influenza vaccinations varied. Variables reflecting access to care (e.g., insurance) and higher risk of severe disease (e.g., smoking) are notable. Programs to improve access and target high-risk populations may improve vaccination rates.
Dicamba and 2,4-D in the Urine of Pregnant Women in the Midwest: Comparison of Two Cohorts (2010–2012 vs. 2020–2022)
(MDPI, 2024-02) Daggy, Joanne K.; Haas, David M.; Yu, Yunpeng; Monahan, Patrick O.; Guise, David; Gaudreau, Éric; Larose, Jessica; Benbrook, Charles M.; Biostatistics and Health Data Science, Richard M. Fairbanks School of Public Health
Currently, there are no known human biomonitoring studies that concurrently examine biomarkers of dicamba and 2,4-D. We sought to compare biomarkers of exposure to herbicides in pregnant women residing in the US Midwest before and after the adoption of dicamba-tolerant soybean technology using urine specimens obtained in 2010–2012 from the Nulliparous Pregnancy Outcomes Study: Monitoring Mothers-to-be (N = 61) and in 2020–2022 from the Heartland Study (N = 91). Specific gravity-standardized concentration levels for each analyte were compared between the cohorts, assuming data are lognormal and specifying values below the LOD as left-censored. The proportion of pregnant individuals with dicamba detected above the LOD significantly increased from 28% (95% CI: 16%, 40%) in 2010–2012 to 70% (95% CI: 60%, 79%) in 2020–2022, and dicamba concentrations also significantly increased from 0.066 μg/L (95% CI: 0.042, 0.104) to 0.271 μg/L (95% CI: 0.205, 0.358). All pregnant individuals from both cohorts had 2,4-D detected. Though 2,4-D concentration levels increased, the difference was not significant (p-value = 0.226). Reliance on herbicides has drastically increased in the last ten years in the United States, and the results obtained in this study highlight the need to track exposure and impacts on adverse maternal and neonatal outcomes.
Duration of double balloon catheter for patients with prior cesarean: a before and after study
(Elsevier, 2024-07-09) Tang, Rachel J.; Bode, Leah M.; Baugh, Kyle M.; Mosesso, Kelly M.; Daggy, Joanne K.; Guise, David M.; Teal, Evgenia; Christman, Megan A.; Tuskan, Britney N.; Haas, David M.; Obstetrics and Gynecology, School of Medicine
Background: Previous studies that suggest a shorter time from cervical ripening balloon placement to delivery with shorter total balloon placement time have excluded patients with prior cesarean deliveries. Objective: To evaluate, in patients with a prior history of cesarean delivery undergoing cervical ripening with a double-balloon catheter, whether planned removal of device after 6 vs 12 hours would result in shorter time to vaginal delivery. Study design: A before-and-after study was performed after a practice change occurred November 2020, shortening the planned time of double-balloon catheter placement for cervical ripening from 12 to 6 hours. Data were collected via retrospective electronic chart review. Primary outcome was time from balloon placement to vaginal delivery. Secondary outcomes included rates of cesarean delivery, maternal intraamniotic infection, and uterine rupture. Kaplan-Meier curves compared median times to delivery between the groups. A Cox proportional-hazards model was used to adjust for time of balloon placement, number of previous vaginal deliveries, and co-medications used. Results: From November 2018 to November 2022, 189 analyzable patients with a prior history of cesarean delivery received a double-balloon catheter for cervical ripening during their trial of labor. Patients were separated into pre- and postpolicy change groups (n=91 and 98, respectively). The median time to vaginal delivery for the pregroup was 28 hours (95% CI: 26, 35) and 25 hours (95% CI: 23, 29) for those in the postgroup (P value .052). After adjusting for dilation at time of balloon placement, number of previous vaginal deliveries, and co-medication, the estimated hazard ratio for successful vaginal delivery postpolicy change was 1.89 (95% CI: 1.27, 2.81). There were no differences in rates of secondary outcomes. Conclusion: In patients with prior cesarean delivery undergoing mechanical cervical ripening with a double-balloon catheter, planned removal at 6 hours compared to 12 hours may result in higher chances of successful vaginal delivery and possibly a shorter time to delivery, without increasing rates of cesarean delivery and intraamniotic infection.

Browsing by Author "Daggy, Joanne K."

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