Improving Access to Yoga for Chronic Pain in a Spanish-Speaking Community: A Quality Improvement Initiative.

BACKGROUND: The recent increase in opioid misuse and overdose among the Hispanic population signifies the need for an initiative to increase efforts in pain management in the Hispanic population. Yoga is an evidence-based therapeutic intervention that is effective for several pain-associated disorders. However, in the United States, it is primarily taught in English and not always accessible. This quality improvement (QI) project aimed to assess the outcome of implementing a yoga program on pain and quality of life in the Hispanic population. METHODS: Twenty Spanish-speaking community center members participated in a linguistically-tailored yoga program over the course of 10 weeks that included educational, demonstration, and practice videos. Outcome measures of the QI program included changes in pain interference, physical function, opioid medication use, the overall impression of change in pain, satisfaction with the program, and the likelihood of continuation of yoga practice. RESULTS: Data collected from participants (n = 16) after the 10-week period indicated that nearly 60% experienced an improvement in their overall impression of change in pain; their reported likelihood of continuation of yoga practice at home or another location were 6.8 and 7.4, respectively, on a 10-point scale. While pain interference was unaffected, there was an improvement in markers of physical function, including a two-fold improvement in general activity without limitations. The mean average intensity of pain decreased by 33%. CONCLUSION: The use of a linguistically-tailored yoga program improved self-reported overall pain, physical function, average intensity of pain, and initiated an interest in participants in utilizing yoga practice for self-management of pain. This QI project provides results that can be used for further implementation initiatives at other sites and consideration of use in diverse populations.

COVID-19 vaccine uptake among non-US-born populations in the United States, 2020-2022.

BACKGROUND: In the United States (US), COVID-19 vaccination rates among non-US-born individuals (i.e., refugees, immigrants, and migrants [RIM]) are variable. Understanding baseline COVID-19 vaccine coverage among these populations and determining if disparities exist is essential for quality improvement initiatives and public health interventions. METHODS: Baseline COVID-19 vaccination rates for both primary series and booster doses were calculated at four health systems located in Minnesota, Colorado, and Pennsylvania participating in the Minnesota Department of Health's Center of Excellence in Newcomer Health. Patients aged ≥5 years as of 1/1/22, seen for ≥1 primary care visit during 7/1/2019-6/30/22 were included. Descriptive statistics were calculated for three measures of COVID-19 vaccine coverage during 12/14/2020-6/30/2022: 1) initiation of primary series; 2) completion of primary series; 3) completion of first booster. We calculated vaccine coverage rates for the entire population and stratified by subgroup including country of origin, refugee status, and primary language preference. RESULTS: We included 1,624,573 patients eligible for COVID-19 primary series vaccine and 907,749 eligible for COVID-19 booster vaccination. The percent of eligible patients who completed a COVID-19 primary series (63.4 %) and booster dose (66.2 %) were similar. Completion of the primary series was higher for non-US-born persons (72.7 %) compared with US born persons (65.4 %), similar among refugees (63.5 %) and non-refugees (63.4 %), and lower in patients with language preference other than English (62.7 %) compared with English preferring patients (63.6 %). Booster completion was lower for non-US-born persons (61.8 %), refugees (46.7 %), and patients with language preference other than English (55.3 %) compared with US-born (70 %), non-refugees (66.3 %), and English preferring patients (67.3 %) respectively. CONCLUSIONS: This evaluation identified disparities in COVID-19 vaccination rates among non-US-born persons and persons with a language preference other than English living in the US. Targeted outreach efforts may be beneficial in reaching these populations.

Identifying Racial and Ethnic Disparities in Acute Inpatient Rehabilitation.

OBJECTIVE: To investigate whether racial, ethnic, and linguistic disparities exist at discharge from an acute inpatient rehabilitation facility (IRF) by examining change in Functional Independence Measure (FIM) scores and discharge destination. DESIGN: This is a retrospective study using our IRF's data from the Uniform Data System for Medical Rehabilitation from 2013-2019. FIM scores and discharge destination were compared between race, language, and ethnic groups, with adjustment for patient characteristics. SETTING: An urban hospital with a level 1 trauma center, comprehensive stroke center, and IRF with Commission on Accreditation of Rehabilitation Facilities (CARF) certification. PARTICIPANTS: 2518 patients admitted to the IRF from 2013-2019 (N=2518). INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Change in FIM score and discharge destination. RESULTS: After adjusting for covariates, non-White patients and patients with limited English proficiency had significantly lower functional recovery, as measured by smaller changes in FIM scores from IRF admission to discharge. Additionally, both groups were more likely to be discharged home with home health care than to a skilled nursing facility, compared with White and English-speaking patients. Disparities in discharge destination persisted within patients with noncommercial insurance (Medicaid or Medicare) and a stroke diagnosis but not within those who had commercial insurance or a nonstroke diagnosis. CONCLUSIONS: Racial and linguistic disparities were identified within our CARF certified IRF; however, the organization is committed to reducing health care disparities. Next steps will include investigating interventions to reduce disparities.

Use of Sequential Hot-Deck Imputation for Missing Health Care Systems Data for Population Health Research.

Electronic medical record (EMR) data present many opportunities for population health research. The use of EMR data for population risk models can be impeded by the high proportion of missingness in key patient variables. Common approaches like complete case analysis and multiple imputation may not be appropriate for some population health initiatives that require a single, complete analytic data set. In this study, we demonstrate a sequential hot-deck imputation (HDI) procedure to address missingness in a set of cardiometabolic measures in an EMR data set. We assessed the performance of sequential HDI within the individual variables and a commonly used composite risk score. A data set of cardiometabolic measures based on EMR data from 2 large urban hospitals was used to create a benchmark data set with simulated missingness. Sequential HDI was applied, and the resulting data were used to calculate atherosclerotic cardiovascular disease risk scores. The performance of the imputation approach was assessed using a set of metrics to evaluate the distribution and validity of the imputed data. Of the 567,841 patients, 65% had at least 1 missing cardiometabolic measure. Sequential HDI resulted in the distribution of variables and risk scores that reflected those in the simulated data while retaining correlation. When stratified by age and sex, risk scores were plausible and captured patterns expected in the general population. The use of sequential HDI was shown to be a suitable approach to multivariate missingness in EMR data. Sequential HDI could benefit population health research by providing a straightforward, computationally nonintensive approach to missing EMR data that results in a single analytic data set.

An Electronic Teen Questionnaire, the eTeenQ, for Risk Behavior Screening During Adolescent Well Visits in an Integrated Health System: Development and Pilot Implementation.

Background: Screening for risk behaviors is a routine and essential component of adolescent preventive health visits. Early identification of risks can inform targeted counseling and care. If stored in discrete fields in the electronic health record (EHR), adolescent screening data can also be used to understand risk behaviors across a clinic or health system or to support quality improvement projects. Objective: Goals of this pilot study were to adapt and implement an existing paper adolescent risk behavior screening tool for use as an electronic data capture tool (the eTeenQ), to evaluate acceptance of the eTeenQ, and to describe the prevalence of the selected risk behaviors reported through the eTeenQ. Methods: The multidisciplinary project team applied an iterative process to develop the 29-item eTeenQ. Two unique data entry forms were created with attention to (1) user interface and user experience, (2) the need to maintain patient privacy, and (3) the potential to transmit and store data for future use in clinical care and research. Three primary care clinics within a large health system piloted the eTeenQ from August 17, 2020, to August 27, 2021. During preventive health visits for adolescents aged 12 to 18 years, the eTeenQ was completed on tablets and responses were converted to a provider display for teens and providers to review together. Responses to the eTeenQ were stored in a REDCap (Research Electronic Data Capture; Vanderbilt University) database, and for patients who agreed, responses were transferred to an EHR flowsheet. Responses to selected eTeenQ questions are reported for those consenting to research. At the conclusion of the pilot, the study team conducted semistructured interviews with providers and staff regarding their experience using the eTeenQ. Results: Among 2816 adolescents with well visits, 2098 (74.5%) completed the eTeenQ. Of these, 1811 (86.3%) agreed to store responses in the EHR. Of 1632 adolescents (77.8% of those completing the eTeenQ) who consented for research and remained eligible, 1472 (90.2%) reported having an adult they can really talk to and 1510 (92.5%) reported feeling safe in their community, yet 401 (24.6%) reported someone they lived with had a gun and 172 (10.5%) reported having had a stressful or scary event that still bothered them. In addition, 157 (9.6%) adolescents reported they were or wondered if they were gay, lesbian, bisexual, pansexual, asexual, or other, and 43 (2.6%) reported they were or wondered if they were transgender or gender diverse. Of 11 staff and 7 providers completing interviews, all felt that the eTeenQ improved confidentiality and willingness among adolescents to answer sensitive questions. All 7 providers preferred the eTeenQ over the paper screening tool. Conclusions: Electronic capture of adolescent risk behaviors is feasible in a busy clinic setting and well accepted among staff and clinicians. Most adolescents agreed for their responses to risk behavior screening to be stored in the EHR.

The Impact of Stimulant Medications on Blood Pressure and Body Mass Index in Children with Attention Deficit Hyperactivity Disorder.

OBJECTIVE: To describe changes in blood pressure (BP) and body mass index (BMI) associated with stimulant medication fills in children. METHODS: Observational, retrospective matched cohort study of children 6-17.9 years initiating stimulant medication between 7/1/2010-6/30/2017 matched 1:3 by age, race, ethnicity, and sex to children with no stimulant use during this period. All BPs and BMIs recorded during ambulatory visits were identified. Generalized linear models were used to estimate differences in change in systolic BP (SBP), diastolic BP (DBP), and BMI over time. RESULTS: The 686 children with stimulant prescription fills and 2048 matched controls did not differ by baseline SBP or BMI. The matched control group (30.5% female, mean age 11.2 ± 3.4 years 79.7% white) was more likely to be publicly insured (35% vs. 21%, P < .01). After adjusting for baseline values, over a mean follow-up of 144 days change in SBP or DBP did not differ significantly between patients with stimulant medication fills and matched controls. Stimulant use was associated with a 4.7 percentile decrease in BMI percentile compared to matched controls (95% CI: 3.69, 5.71; P < .01). CONCLUSIONS: In a pediatric primary care cohort, stimulant prescription fills were associated with marked decreases in BMI but no significant changes in BP over time.

Diffusion Restriction in the Splenium: A Comparative Study of Cytotoxic Lesions of the Corpus Callosum (CLOCCs) versus Lesions of Vascular Etiology.

Cytotoxic lesions of the corpus callosum (CLOCCs) have broad differential diagnoses. Differentiating these lesions from lesions of vascular etiology is of high clinical significance. We compared the clinical and radiological characteristics and outcomes between vascular splenial lesions and CLOCCs in a retrospective cohort study. We examined the clinical and radiologic characteristics and outcomes in 155 patients with diffusion restriction in the splenium of the corpus callosum. Patients with lesions attributed to a vascular etiology (N = 124) were older (64.1 vs. 34.6 years old, p < 0.001) and had >1 vascular risk factor (91.1% vs. 45.2%, p < 0.001), higher LDL and A1c levels, and echocardiographic abnormalities (all p ≤ 0.05). CLOCCs (N = 31) more commonly had midline splenial involvement (p < 0.001) with only splenial diffusion restriction (p < 0.001), whereas vascular etiology lesions were more likely to have multifocal areas of diffusion restriction (p = 0.002). The rate of in-hospital mortality was significantly higher in patients with vascular etiology lesions (p = 0.04). Across vascular etiology lesions, cardio-embolism was the most frequent stroke mechanism (29.8%). Our study shows that corpus callosum diffusion restricted lesions of vascular etiology and CLOCCs are associated with different baseline, clinical, and radiological characteristics and outcomes. Accurately differentiating these lesions is important for appropriate treatment and secondary prevention.

Diffusion-Restricted Lesions of the Splenium: Clinical Presentation, Radiographic Patterns, and Patient Outcomes.

Background and Objectives: Diffusion-restricted (DR) lesions of the splenium are encountered in a wide variety of pathologies, and their significance is often unclear. We sought to report the spectrum of clinical presentations, neuroimaging patterns, and the predictors of radiographic and clinical outcomes from DR splenial lesions. Methods: This was a single-center, retrospective cohort study from January 1, 2009, to August 1, 2020. A consecutive sample of 3,490 individuals who underwent brain MRI with reported corpus callosum lesions during the study period were evaluated for DR lesions in the corpus callosum. DR lesions were defined as increased signal intensity on diffusion-weighted imaging sequences with decreased signal intensity on apparent diffusion coefficient. Patients with prior neurosurgical procedures, hemorrhage-associated DR, anoxic brain injury, and chronic or previously known or characterized disease processes in the corpus callosum were excluded. Clinical and radiologic outcomes were ascertained, including readmissions within 1 year, in-hospital mortality rates, and resolution of DR at first follow-up imaging. Outcomes were defined a priori. Results: Two hundred patients met criteria for inclusion. The average age was 57 years (standard deviation 19 years). Near half of the patients were women (47%). Encephalopathy (55%), focal weakness (46.5%), and cortical signs (44%) were the most common presenting clinical features. Thirty-five cases (17.5%) had features consistent with cytotoxic lesions of the corpus callosum (CLOCCs). Vascular causes were most frequent (61%), followed by malignancy-related (15%) and trauma (8%). In-hospital mortality occurred in 8.5% of cases, 46.5% were readmitted to the hospital within 1 year, and 49.1% of patients had resolution of the splenial DR at the next scan. Backward stepwise regression models showed that mass effect was negatively associated with splenial DR resolution (odds ratio [OR]: 0.12, confidence interval [CI] 0.03-0.46, p = 0.002). Encephalopathy was significantly associated with in-hospital mortality (OR: 4.50, CI 1.48-17.95, p = 0.007). Patients with a CLOCC had less frequent readmissions at 1-year compared with patients without a CLOCC, p = 0.015. Discussion: Vascular DR lesions of the splenium were more common than CLOCCs and other etiologies in this cohort. While splenial DR lesions can present a clinical challenge, their associated clinical and radiographic characteristics may predict outcome and guide prognosis.

Care coordination in primary care: mapping the territory.

OBJECTIVE: To document the current approaches to care coordination among different types of care systems in Minnesota. STUDY DESIGN: Observational survey of leaders of most of the care systems in Minnesota that have implemented care coordination. METHODS: Survey questions about organizational structure, size, and approach to care coordination were sent to the leaders of 42 care systems with a total of 327 primary care clinics. RESULTS: Surveys were completed by leaders at every care system participating in this study (100% response rate); 16 small care systems (each with 1-2 clinics) had a total of 26 primary care clinics, 15 medium care systems (3-9 clinics) had 57 clinics, and 11 large care systems (> 9 clinics) had 244 clinics. The large care systems had larger clinics (clinicians per clinic, 8.6 in large vs 4.3 in small and 5.2 in medium; P = .03) and more clinicians per care coordinator (5.7 vs 3.3 and 4.0; P = .04). They also more frequently included a social worker in their care coordination team: 82% vs 25% of small and 40% of medium care systems (P = .01). However, the services provided and complexity tools used were similar. Nearly all reported addressing both medical and social needs for their complex patients with multiple chronic conditions. CONCLUSIONS: Although there are large differences in resources and capabilities between large and small care systems, they were not associated with much difference in the approach taken to care coordination. This map of the care coordination territory in Minnesota has the potential to be valuable to researchers and care system leaders for understanding current implementation trends and directing further evaluations.

Describing Racial Disparity in Hypertension Control in a Large Minnesota Outpatient Practice.

Introduction: This analysis is a part of ongoing quality improvement efforts aiming at improving hypertension control among various racial minority groups seen in a large outpatient practice with a special focus on two war refugee populations, the Hmong and the Somali populations. Method: Deidentified medical records were reviewed for adult hypertensive patients who had an outpatient encounter with a hypertension diagnosis during the years 2015 through 2019. The study outcome was the rate of uncontrolled hypertension, defined as systolic blood pressure ≥140 mm Hg or diastolic blood pressure ≥90 mm Hg, and stratified by race, age, and gender. Results: There were 752,504 patient records representing 259,824 unique patients (mean age 61 ± 13 years) with 49.1% women, 82.1% white 8.3% African American, 4% Asian, 1.6% Hispanic, Somali 0.6%, and 0.2% Hmong. Hmong men had the highest rate of uncontrolled HTN (33.6%) followed by African American (31.3%) then Somali (29.2%). Among women, African Americans had the highest rate (28.6%) followed by Hmong (28.5%) then Somali (25.7%). In all races except Somali, the rate of uncontrolled hypertension was highest in the 18-29 age group, decreased progressively over the next several decades, then increased again in the ≥70 age group. Conclusion: Hmong, African American, and Somali groups have the highest rates of uncontrolled hypertension. Efforts to address hypertension management need to be tailored to the specific characteristics of each racial group and to target young adults.

Potentially Preventable Readmissions After Acute Inpatient Rehabilitation.

OBJECTIVE: The aim of the study is to identify causes and risk factors for potentially preventable readmissions of patients discharged from an inpatient rehabilitation facility. DESIGN: Our hospital billing database was used to identify patients discharged from our inpatient rehabilitation facility between 2013 and 2018 and experienced a potentially preventable readmission within 90 days ( n = 75). Retrospective chart review was completed to obtain clinical data. Of the patients discharged from the inpatient rehabilitation facility who did not experience a potentially preventable readmission, a group of age- and sex-matched controls ( n = 75) was randomly selected. The two study groups were compared using univariate and multivariate analyses. RESULTS: Our study found that individuals who discharged from acute inpatient rehabilitation were more likely to be readmitted with a potentially preventable readmission if they have a greater number of comorbidities, were admitted initially with a spinal cord injury, or have lower admission or discharge Functional Independence Measure motor scores. The most common potentially preventable readmission diagnoses were sepsis, renal failure, respiratory problems, and urinary tract infection. CONCLUSIONS: Identifying patients with the common causes for potentially preventable readmissions, in addition to the noted risk factors, is an important consideration for inpatient rehabilitation discharge planning.

Factor Analysis in Distinguishing Coronavirus Disease 2019 From Other Influenza-like Illness Using a Validated Patient-Reported Outcome Instrument FLU-PRO Plus: A Prospective Real-world Cohort Study.

BACKGROUND/OBJECTIVE: InFLUenza Patient-reported Outcome (FLU-PRO Plus) is a 34-item patient-reported outcome instrument designed to capture the intensity and frequency of viral respiratory symptoms. This study evaluates whether FLU-PRO Plus responses could discriminate between symptoms of coronavirus disease 2019 (COVID-19) and influenza-like illness (ILI) with no COVID diagnosis, as well as forecast disease progression. METHODS: FLU-PRO Plus was administered daily for 14 days. Exploratory factor analysis was used to reduce the FLU-PRO Plus responses on the first day to 3 factors interpreted as "symptom clusters." The 3 clusters were used to predict COVID-19 versus ILI diagnosis in logistic regression. Correlation between the clusters and quality of life (QoL) measures was used to assess concurrent validity. The timing of self-reported return to usual health in the 14-day period was estimated as a function of the clusters within COVID-19 and ILI groups. RESULTS: Three hundred fourteen patients completed day 1 FLU-PRO Plus, of which 65% had a COVID-19 diagnosis. Exploratory factor analysis identified 3 symptom clusters: (1)general Body, (2) tracheal/bronchial, and (3) nasopharyngeal. Higher nasopharyngeal scores were associated with higher odds of COVID-19 compared with ILI diagnosis [adjusted odds ratio = 1.61 (1.21, 2.12)]. Higher tracheal/bronchial scores were associated with lower odds of COVID-19 [0.58 (0.44, 0.77)]. The 3 symptom clusters were correlated with multiple QoL measures ( r = 0.14-0.56). Higher scores on the general body and tracheal/bronchial symptom clusters were associated with prolonged time to return to usual health [adjusted hazard ratios: 0.76 (0.64, 0.91), 0.80 (0.67, 0.96)]. CONCLUSION: Three symptom clusters identified from FLU-PRO Plus responses successfully discriminated patients with COVID-19 from non-COVID ILI and were associated with QoL and predicted symptom duration.

Systematic surveillance of patient-reported symptoms of viral respiratory tract infectious Syndromes in diverse populations.

BACKGROUND: Patient reported outcome measures (PROM) can improve patient care and be crucial for symptom tracking especially during disease outbreaks. FLU-PRO Plus is a validated PROM used to track viral respiratory symptoms. Our study aimed to evaluate the feasibility of using FLU-PRO© Plus, to track symptoms across three healthcare systems. METHODS: The prospective, longitudinal study recruited adults between February-May 2021 from HealthPartners Institute (HP), Kaiser Permanente Georgia (KPGA), and Kaiser Permanente Mid-Atlantic States (KPMAS). Adult members were eligible if they had a positive lab or diagnosis for either COVID-19 or influenza-like illness (ILI) or exhibited 2 + viral respiratory symptoms. Descriptive statistics were calculated to describe the patient characteristics for participants that were eligible for FLU-PRO Plus, successfully contacted, attempted to log in to the FLU-PRO Plus website, and participants who completed FLU-PRO Plus Day 1. Bivariable and multivariable logistic regression using PROC GLIMMIXX investigated the patient characteristics associated with (1) successful contact and (2) FLU-PRO Plus Day 1 completion. RESULTS: We identified a total of 15,650 eligible participants during the enrollment period: 9,582 from HP, 1,740 from KPGA, and 4,328 from KPMAS. Among the total of 409 eligible adults who attempted to participate in FLU-PRO Plus, 317 completed FLU-PRO Plus Day 1. Among the 317 individuals that completed FLU-PRO Plus Day 1, 205 (67.5%) were diagnosed with COVID-19; 112 adults diagnosed with COVID-19 completed FLU-PRO Plus Day 14. Among adults successfully contacted, adults aged 35-64 (OR = 1.40, 95% CI 1.05, 1.87), females (OR = 1.77, 95% CI 1.38, 2.27), and adults diagnosed with COVID-19 (OR = 1.66, 95% CI 1.27, 2.17) had higher odds of completing FLU-PRO Plus Day 1; Asian adults (OR = 0.38, 95% CI 0.19, 0.76) and Black and African American adults (OR = 0.33, 95% CI 0.19, 0.76) had lower odds compared to White adults. CONCLUSION: Our study reports on the feasibility of patients across three integrated healthcare systems utilizing FLU-PRO Plus to monitor their respiratory symptoms. Patient reported outcome measures (PROM) can improve patient care, quality of life, and reduce the strain of limited resources on healthcare systems. Future FLU-PRO Plus studies should develop an implementation strategy to fully integrate FLU-PRO Plus within clinical care and patient management.

Is the Promise of PROMs Being Realized? Implementation Experience in a Large Orthopedic Practice.

Patient-reported outcome measures (PROMs), increasingly used for research and quality measurement, are lauded for their potential to improve patient-centered care, both through aggregate reporting and when integrated into clinical practice. However, there are few published studies of the resultant use of PROMs in clinical practice. This case study describes the implementation and use of PROMS in a Midwestern multispecialty medical group orthopedic practice among patients undergoing total knee and hip surgery. Specifically, rates of PROMs use by care teams are tracked over time once made available in the electronic health record. During this time, the orthopedics department achieved a patient PROMS survey response rate of 68% at baseline, 58% 3 months post-surgery, and 55% 12 months post-surgery. However, these data were only accessed by the care teams for fewer than 1% of associated clinical encounters. This suggests that making PROMs available for care team review in the electronic health record, even when coupled with relatively high response rates from patients and departmental leadership support is not enough to encourage integration of PROMs into clinical care for patients. Additional effort is required to identify barriers to PROMs use in clinical care and to test methods to enhance use.

Improving Care for Patients with Chronic Hepatitis B via Establishment of a Disease Registry.

In the United States, there is poor clinician adherence to the American Association for the Study of Liver Disease and other guidelines for chronic hepatitis B virus (CHB) management. This prospective cohort study evaluated whether a CHB registry improves CHB management. We included patients with CHB aged ≥ 18 years and who had a clinical encounter during September 1, 2016-August 31, 2019. We divided patients into three groups based on care received before September 1, 2019: 1) CIH: primary care clinician at HealthPartners Center for International Health, 2) GI: not CIH and seen by gastroenterology within previous 18 months, and 3) primary care (PC): not CIH and not seen by gastroenterology within previous 18 months. We created and implemented a CHB registry at CIH that allowed staff to identify and perform outreach to patients overdue for CHB management. Patients with laboratory testing (i.e., alanine transaminase and hepatitis B virus DNA) and hepatocellular carcinoma screening in the previous 12 months were considered up to date (UTD). We compared UTD rates between groups at baseline (September 1, 2019) and pilot CHB registry end (February 28, 2020). We evaluated 4,872 patients, 52% of whom were female: 213 CIH, 656 GI, and 4,003 PC. At baseline, GI patients were most UTD (69%) followed by CIH (51%) and PC (11%). At pilot end the percent of UTD patients at CIH increased by 11%, GI decreased by 10%, and PC was unchanged. CHB registry use standardized care and increased the percent of CHB patients with recent laboratory testing and HCC screening.

Rate and Predictors of Acute Care Encounters in the First Month After Stroke.

OBJECTIVES: The purpose of this quality improvement project is to understand the burden of acute care, including inpatient readmission and emergency department (ED) visits, in the month following hospital discharge after stroke. MATERIALS AND METHODS: We identified patients discharged from our hospitals between 2015 and 2018 with any stroke diagnosis who had an unplanned readmission or ED visit within the first month after discharge, and those who had primary care (PC) visits before or after their stroke. Patients were compared regarding demographics, clinical characteristics, and PC visits. Independent predictors of acute care encounters were examined using logistic regression. RESULTS: A total of 166 patients (19%) had an acute care encounter one month after discharge. Eighty-eight (10%) patients were readmitted and 78 (9%) patients had an ED visit. Encounter diagnoses were different between the two groups; inpatient readmission had more frequent acute stroke/TIA and pneumonia/pulmonary indications, while ED visits had more non-specific neurologic symptoms and more frequent cardiovascular complaints. Independent predictors of any acute care encounter and inpatient readmission were younger age, longer length of stay (LOS), and lack of PC visit after discharge. Predictors of ED visits were the same except for LOS. CONCLUSIONS: 30-day acute care encounters after stroke hospitalization are common, affecting 19% of patients and usually occurring in the first week after discharge. Post discharge PC visit was associated with a decreased need for acute care. Efforts should be made to facilitate a PC visit within a week after discharge, especially in high risk patients.

Readmission to an Acute Care Hospital During Inpatient Rehabilitation After Stroke.

OBJECTIVE: The aim of the study was to identify causes for readmission to acute care of patients admitted to inpatient rehabilitation facility after stroke. DESIGN: The institutional Uniform Data System for Medical Rehabilitation database was used to identify stroke patients who experienced readmission to acute care and an equal number of age-/sex-matched group of patients who successfully completed their inpatient rehabilitation facility stay during 2005-2018. Retrospective chart review was used to extract clinical data. The two study groups were compared using univariate and multivariate analyses. RESULTS: The rate of readmission to acute care was 4.7% (n = 89; age = 65 ± 14 yrs; 37% female; 65% White; 73% ischemic stroke). The most common indications for transfer were neurological (31%) and cardiovascular (28%). Compared with control group, the readmission to acute care group had statistically higher rates of comorbid conditions, lower median (interquartile range) Functional Independence Measure score on inpatient rehabilitation facility admission (55 [37-65] vs. 64 [51-78], P < 0.001), and a higher rate of sedative/hypnotic prescription (82% vs. 23%, P < 0.001). CONCLUSIONS: Readmission to acute care is not common in our cohort. Patients who experienced readmission to acute care had higher medical complexity and were prescribed more sedative/hypnotic medications than the control group. Practitioners should be vigilant in patients who meet these criteria.

Human Papillomavirus vaccination clinical decision support for young adults in an upper midwestern healthcare system: a clinic cluster-randomized control trial.

INTRODUCTION: Human papillomavirus (HPV) vaccination rates are low in young adults. Clinical decision support (CDS) in primary care may increase HPV vaccination. We tested the treatment effect of algorithm-driven, web-based, and electronic health record-linked CDS with or without shared decision-making tools (SDMT) on HPV vaccination rates compared to usual care (UC). METHODS: In a clinic cluster-randomized control trial conducted in a healthcare system serving a largely rural population, we randomized 34 primary care clinic clusters (with three clinics sharing clinicians randomized together) to: CDS; CDS+SDMT; UC. The sample included young adults aged 18-26 due for HPV vaccination with a study index visit from 08/01/2018-03/15/2019 in a study clinic. Generalized linear mixed models tested differences in HPV vaccination status 12 months after index visits by study arm. RESULTS: Among 10,253 patients, 6,876 (65.2%) were due for HPV vaccination, and 5,054 met study eligibility criteria. In adjusted analyses, the HPV vaccination series was completed by 12 months in 2.3% (95% CI: 1.6%-3.2%) of CDS, 1.6% (95% CI: 1.1%-2.3%) of CDS+SDMT, and 2.2% (95% CI: 1.6%-3.0%) of UC patients, and at least one HPV vaccine was received by 12 months in 13.1% (95% CI: 10.6%-16.1%) of CDS, 9.2% (95% CI: 7.3%-11.6%) of CDS+SDMT, and 11.2% (95% CI: 9.1%-13.7%) of UC patients. Differences were not significant between arms. Females, those with prior HPV vaccinations, and those seen at urban clinics had significantly higher odds of HPV vaccination in adjusted models. DISCUSSION: CDS may require optimization for young adults to significantly impact HPV vaccination. TRIAL REGISTRATION: clinicaltrials.gov NCT02986230, 12/6/2016.

Clinical Decision Support with or without Shared Decision Making to Improve Preventive Cancer Care: A Cluster-Randomized Trial.

BACKGROUND: Innovative interventions are needed to address gaps in preventive cancer care, especially in rural areas. This study evaluated the impact of clinical decision support (CDS) with and without shared decision making (SDM) on cancer-screening completion. METHODS: In this 3-arm, parallel-group, cluster-randomized trial conducted at a predominantly rural medical group, 34 primary care clinics were randomized to clinical decision support (CDS), CDS plus shared decision making (CDS+SDM), or usual care (UC). The CDS applied web-based clinical algorithms identifying patients overdue for United States Preventive Services Task Force-recommended preventive cancer care and presented evidence-based recommendations to patients and providers on printouts and on the electronic health record interface. Patients in the CDS+SDM clinic also received shared decision-making tools (SDMTs). The primary outcome was a composite indicator of the proportion of patients overdue for breast, cervical, or colorectal cancer screening at index who were up to date on these 1 y later. RESULTS: From August 1, 2018, to March 15, 2019, 69,405 patients aged 21 to 74 y had visits at study clinics and 25,198 were overdue for 1 or more cancer screening tests at an index visit. At 12-mo follow-up, 9,543 of these (37.9%) were up to date on the composite endpoint. The adjusted, model-derived percentage of patients up to date was 36.5% (95% confidence interval [CI]: 34.0-39.1) in the UC group, 38.1% (95% CI: 35.5-40.9) in the CDS group, and 34.4% (95% CI: 31.8-37.2) in the CDS+SDM group. For all comparisons, the screening rates were higher than UC in the CDS group and lower than UC in the CDS+SDM group, although these differences did not reach statistical significance. CONCLUSION: The CDS did not significantly increase cancer-screening rates. Exploratory analyses suggest a deeper understanding of how SDM and CDS interact to affect cancer prevention decisions is needed. Trial registration: ClinicalTrials.gov ID: NCT02986230, December 6, 2016.