The Impact of Gender Affirming Medical Care During Adolescence on Adult Health Outcomes Among Transgender and Gender Diverse Individuals in the United States: The Role of State-Level Policy Stigma.

Purpose: Gender affirming medical care (GAMC) aims to alleviate gender dysphoria by helping people align their physical body more closely with their gender identity. Bills seeking to limit or prohibit GAMC for trans children and adolescents have become a controversial topic. This study aimed to examine whether exposures to GAMC during adolescence are associated with adult psychological and general health outcomes, and to demonstrate the mechanism through which state-level legislation may work to moderate the association. Methods: We conducted analyses using data from the 2015 U.S. Transgender Survey, which surveyed 27,715 transgender and gender diverse (TGD) adults between August and September of 2015. The study compared the health outcomes of those who had GAMC exposures during adolescence with those who did not. Moderation analysis with propensity score matching was used to adjust for potential confounding factors. The general and psychological health outcomes measured were past-month severe psychological distress, past-year suicidal ideation, participant's general health, and past-year health care avoidance due to possible mistreatment. Results: GAMC during adolescence was negatively associated with severe psychological distress in adulthood. When examining past-year health care avoidance due to possible mistreatment, the effect sizes differed significantly between those in a trans-supportive state and those in a trans-unsupportive state. Conclusion: Our work highlights the importance of state-level policy stigma in understanding the association between GAMC and health outcomes. Findings point to the importance of enacting long-term legislative safeguards against TGD discrimination and removing barriers to access the full spectrum of care for adolescents who identify as TGD.

The pneumonia severity index: Assessment and comparison to popular machine learning classifiers.

INTRODUCTION: Pneumonia is the top communicable cause of death worldwide. Accurate prognostication of patient severity with Community Acquired Pneumonia (CAP) allows better patient care and hospital management. The Pneumonia Severity Index (PSI) was developed in 1997 as a tool to guide clinical practice by stratifying the severity of patients with CAP. While the PSI has been evaluated against other clinical stratification tools, it has not been evaluated against multiple classic machine learning classifiers in various metrics over large sample size. METHODS: In this paper, we evaluated and compared the prediction performance of nine classic machine learning classifiers with PSI over 34,720 adult (age 18+) patient records collected from 749 hospitals from 2009 to 2018 in the United States on Receiver Operating Characteristic (ROC) Area Under the Curve (AUC) and Average Precision (Precision-Recall AUC). RESULTS: Machine learning classifiers, such as Random Forest, provided a statistically highly(p < 0.001) significant improvement (∼33% in PR AUC and ∼6% in ROC AUC) compared to PSI and required only 7 input values (compared to 20 parameters used in PSI). DISCUSSION: Because of its ease of use, PSI remains a very strong clinical decision tool, but machine learning classifiers can provide better prediction accuracy performance. Comparing prediction performance across multiple metrics such as PR AUC, instead of ROC AUC alone can provide additional insight.

Health Care Disparities and Access to Video Visits Before and After the COVID-19 Pandemic: Findings from a Patient Survey in Primary Care.

Background:In 2020, the Centers for Medicare & Medicaid Services reimbursement structure was relaxed to aid in the rapid adoption nationally of telemedicine during the COVID-19 pandemic. Due to limited access to internet service, cellular phone data, and appropriate devices, many patients may be excluded from telemedicine services.Methods:In this study, we present the findings of a survey of patients at an urban primary care clinic regarding their access to the tools needed for telemedicine before and after the COVID-19 pandemic. Patients provided information about their access to internet services, phone and data plans, and their perceived access to and interest in telemedicine. The survey was conducted in 2019 and then again in September of 2020 after expansion of telemedicine services.Results:In 2019, 168 patients were surveyed; and in 2020, 99 patients participated. In both surveys, 30% of respondents had limited phone data, no data, or no phone at all. In 2019, the patient responses showed a statistically significant difference in phone plan types between patients with different insurance plans (p < 0.10), with a higher proportion (39%) of patients with Medicaid or Medicaid waiver having a prepaid phone or no phone at all compared with patients with commercial insurance (26%). The overall awareness rate increased from 17% to 43% in the 2020 survey.Conclusions:This survey illustrated that not all patients had access to devices, cellular data, and internet service, which are all needed to conduct telemedicine. In this survey, patients with Medicaid or Medicaid waiver insurance were less likely to have these tools than those with a commercial payor. Finally, patients' access to these telemedicine tools correlated with their interest in using telemedicine visits. Providing equitable telemedicine care requires attention to and mitigation strategies for these gaps in access.

Computer-tailored intervention increases colorectal cancer screening among low-income African Americans in primary care: Results of a randomized trial.

INTRODUCTION: Although African Americans have the highest colorectal cancer (CRC) incidence and mortality rates of any racial group, their screening rates remain low. STUDY DESIGN/PURPOSE: This randomized controlled trial compared efficacy of two clinic-based interventions for increasing CRC screening among African American primary care patients. METHODS: African American patients from 11 clinics who were not current with CRC screening were randomized to receive a computer-tailored intervention (n = 335) or a non-tailored brochure (n = 358) designed to promote adherence to CRC screening. Interventions were delivered in clinic immediately prior to a provider visit. Univariate and multivariable logistic regression models analyzed predictors of screening test completion. Moderators and mediators were determined using multivariable linear and logistic regression analyses. RESULTS: Significant effects of the computer-tailored intervention were observed for completion of a stool blood test (SBT) and completion of any CRC screening test (SBT or colonoscopy). The colonoscopy screening rate was higher among those receiving the computer-tailored intervention group compared to the nontailored brochure but the difference was not significant. Predictors of SBT completion were: receipt of the computer-tailored intervention; being seen at a Veterans Affairs Medical Center clinic; baseline stage of adoption; and reason for visit. Mediators of intervention effects were changes in perceived SBT barriers, changes in perceived colonoscopy benefits, changes in CRC knowledge, and patient-provider discussion. Moderators of intervention effects were age, employment, and family/friend recommendation of screening. CONCLUSION: This one-time computer-tailored intervention significantly improved CRC screening rates among low-income African American patients. This finding was largely driven by increasing SBT but the impact of the intervention on colonoscopy screening was strong. Implementation of a CRC screening quality improvement program in the VA site that included provision of stool blood test kits and follow-up likely contributed to the strong intervention effect observed at that site. The trial is registered at ClinicalTrials.gov as NCT00672828.

Patterns of transaminase elevation in rhabdomyolysis versus acetaminophen toxicity.

BACKGROUND: Transaminase elevations can occur from liver injury or in the setting of rhabdomyolysis. The goal of this study is to evaluate indices that could differentiate acetaminophen toxicity from muscle injury in the setting of transaminase elevations. METHODS: A retrospective chart review of consecutive cases reported to our regional poison center. Patients with transaminase (AST and ALT) elevation were grouped as those with acetaminophen exposure (AT) and those with elevated creatine phosphokinase (CPK) without evidence of acetaminophen exposure (RHB). RESULTS: Of the 345 patients included in the study, elevated AST/ALT levels were attributed to rhabdomyolysis in 168 patients and attributed to acetaminophen toxicity in 177 patients. The median AST: ALT values also differed between groups, with patients in the RHB group had higher median ratios (p < 0.001). Using an AST: ALT value of 2.02 as a diagnostic cutoff produced a specificity of 0.52 (95% CI: 0.37, 0.64) and sensitivity of 0.84 (95% CI: 0.73, 0.94) for acetaminophen detection in the test dataset (N = 104). CONCLUSIONS: Elevated transaminases due to liver injury from acetaminophen ingestion had a different pattern than elevated transaminases due to rhabdomyolysis. Lower AST:ALT ratios were found in acetaminophen cases, however, the specificity using a ratio threshold of ≤1 would be 83%.

Specific Learning Disabilities: The Family Physician's Role.

Academic underachievement, such as failing a class and the threat of being held back because of academic issues, is common. Family physicians can provide support and guidance for families as they approach their child's unique academic challenges. Specific learning disabilities are a group of learning disorders (e.g., dyscalculia, dysgraphia, dyslexia) that impede a child's ability to learn. Understanding standard educational terms; looking for medical, family, and social risk factors associated with academic underachievement; and investigating the medical differential for academic underachievement can help direct the family to appropriate care. The physician can provide medical documentation to support an individualized education program evaluation and address risk factors that schools may not be aware of or cannot assess. The family physician can support children and families by understanding the connection between risk factors, medical and educational evaluations, and educational resources.

Satisfaction, Motivation, and Retention in Academic Faculty Incentive Compensation Systems: A CERA Survey.

BACKGROUND AND OBJECTIVES: The use of incentive compensation in academic family medicine has been a topic of interest for many years, yet little is known about the impact of these systems on individual faculty members. Better understanding is needed about the relationship of incentive compensation systems (ICSs) to ICS satisfaction, motivation, and retention among academic family medicine faculty. METHODS: The Council of Academic Family Medicine (CAFM) Educational Research Alliance (CERA) conducted a nationwide survey of its members in 2013. This study reports the results of the incentive compensation question subset of the larger omnibus survey. RESULTS: The overall response rate was 53%. The majority (70% [360/511]) of academic faculty reported that they are eligible for some type of incentive compensation. The faculty reported moderate satisfaction, with only 38% being satisfied or highly satisfied with their ICS. Overall mean motivation and intent to remain in their current position were similar. The percentage of total income available as an incentive explained less than 10% of the variance of those outcomes. Faculty perceptions of appropriateness of the measures, understanding of the measurement and reward systems, and perception of due process are all related to satisfaction with the ICS, motivation, and retention. CONCLUSIONS: ICSs are common in academic family medicine, yet most faculty do not find them to motivate their choice of activities or promote staying in their current position. Design and implementation are both important in promoting faculty satisfaction with the ICS, motivation, and retention.

Practice-based learning and improvement in family medicine student clerkships: a CERA study.

BACKGROUND: Practice-based learning and improvement (PBLI) has been promoted as a key component of competency-based training in medical student education, but little is known about its implementation. METHODS: This project is part of a larger CERA omnibus survey of family medicine medical student clerkship directors carried out from July to September 2012. Analyses were conducted to assess clerkship infrastructure, learner assessment and feedback, and clerkship director perceptions of PBLI curricula. RESULTS: The majority (69.0%, 58/82) of family medicine clerkship directors reported that PBLI is not included in their clerkship. Significant predictors of PBLI in the curriculum include: regularly scheduled centralized teaching (weekly or more versus less than weekly, OR=1.14, 95% CI=1.01--1.29) and clerkship director belief that students should achieve PBLI competency (agree in competency versus disagree in competency, OR=1.19, 95% CI=1.08--1.30). Few (20.5%, 16/78) family medicine clerkship directors reported that the amount of PBLI in their curriculum is likely to increase in the next 12 months. The duration of the clerkship was a significant predictor of reported likelihood of increasing PBLI over the next 12 months (3 weeks versus 8 weeks, OR=1.23, 95% CI=1.00--1.51). CONCLUSIONS: Despite increased emphasis on quality improvement activities in practice, most family medicine clerkships do not currently offer PBLI curricula. Additionally, less than one in four family medicine clerkships plan on increasing the amount of PBLI curricula in the next 12 months. Continued research in this area is needed to identify successful models for PBLI curricular offerings.

No-shows to primary care appointments: subsequent acute care utilization among diabetic patients.

BACKGROUND: Patients who no-show to primary care appointments interrupt clinicians' efforts to provide continuity of care. Prior literature reveals no-shows among diabetic patients are common. The purpose of this study is to assess whether no-shows to primary care appointments are associated with increased risk of future emergency department (ED) visits or hospital admissions among diabetics. METHODS: A prospective cohort study was conducted using data from 8,787 adult diabetic patients attending outpatient clinics associated with a medical center in Indiana. The outcomes examined were hospital admissions or ED visits in the 6 months (182 days) following the patient's last scheduled primary care appointment. The Andersen-Gill extension of the Cox proportional hazard model was used to assess risk separately for hospital admissions and ED visits. Adjustment was made for variables associated with no-show status and acute care utilization such as gender, age, race, insurance and co-morbid status. The interaction between utilization of the acute care service in the six months prior to the appointment and no-show was computed for each model. RESULTS: The six-month rate of hospital admissions following the last scheduled primary care appointment was 0.22 (s.d. = 0.83) for no-shows and 0.14 (s.d. = 0.63) for those who attended (p < 0.0001). No-show was associated with greater risk for hospitalization only among diabetics with a hospital admission in the prior six months. Among diabetic patients with a prior hospital admission, those who no-showed were at 60% greater risk for subsequent hospital admission (HR = 1.60, CI = 1.17-2.18) than those who attended their appointment. The six-month rate of ED visits following the last scheduled primary care appointment was 0.56 (s.d. = 1.48) for no-shows and 0.38 (s.d. = 1.05) for those who attended (p < 0.0001); after adjustment for covariates, no-show status was not significantly related to subsequent ED utilization. CONCLUSIONS: No-show to a primary care appointment is associated with increased risk for hospital admission among diabetics recently hospitalized.

Computer-delivered tailored intervention improves colon cancer screening knowledge and health beliefs of African-Americans.

We conducted a randomized controlled trial among African-American patients attending a primary-care provider visit to compare efficacy of a computer-delivered tailored intervention to increase colorectal cancer (CRC) screening (n = 273) with non-tailored print material-an American Cancer Society brochure on CRC screening (n = 283). Health Belief Model constructs were used to develop tailored messages and examined as outcomes. Analysis of covariance models were used to compare changes between CRC knowledge and health belief scores at baseline and 1 week post-intervention. At 1 week, patients who received the computer-delivered tailored intervention had greater changes in CRC knowledge scores (P < 0.001), perceived CRC risk scores (P = 0.005), FOBT barriers scores (P = 0.034) and colonoscopy benefit scores (P < 0.001). Findings show that computer-delivered tailored interventions are an effective adjunct to the clinical encounter that can improve knowledge and health beliefs about CRC screening, necessary precursors to behavior change.

Implementing dementia care models in primary care settings: The Aging Brain Care Medical Home.

OBJECTIVES: The purpose of this article is to describe our experience in implementing a primary care-based dementia and depression care program focused on providing collaborative care for dementia and late-life depression. METHODS: Capitalizing on the substantial interest in the US on the patient-centered medical home concept, the Aging Brain Care Medical Home targets older adults with dementia and/or late-life depression in the primary care setting. We describe a structured set of activities that laid the foundation for a new partnership with the primary care practice and the lessons learned in implementing this new care model. We also provide a description of the core components of this innovative memory care program. RESULTS: Findings from three recent randomized clinical trials provided the rationale and basic components for implementing the new memory care program. We used the reflective adaptive process as a relationship building framework that recognizes primary care practices as complex adaptive systems. This framework allows for local adaptation of the protocols and procedures developed in the clinical trials. Tailored care for individual patients is facilitated through a care manager working in collaboration with a primary care physician and supported by specialists in a memory care clinic as well as by information technology resources. CONCLUSIONS: We have successfully overcome many system-level barriers in implementing a collaborative care program for dementia and depression in primary care. Spontaneous adoption of new models of care is unlikely without specific attention to the complexities and resource constraints of health care systems.

Screening, referral, and participation in a weight management program implemented in five CHCs.

Community health centers have the potential to lessen obesity. We conducted a retrospective evaluation of a quality improvement program that included electronic body mass index (BMI) screening with provider referral to an in-clinic lifestyle behavior change counselor with weekly nutrition and exercise classes. There were 26,661 adult patients seen across five community health centers operating the weight management program. There were 23,593 (88%) adult patients screened, and 12,487 (53%) of these patients were overweight or obese (BMI >or=25). Forty percent received a provider referral, 15.6% had program contact, and 2.1% had more than 10 program contacts. A mean weight loss of seven pounds was observed among those patients with more than 10 program contacts. No significant weight change was observed in patients with less contact. Achieving public health impact from guideline recommended approaches to CHC-based weight management will require considerable improvement in patient and provider participation.

Using no-show modeling to improve clinic performance.

'No-shows' or missed appointments result in under-utilized clinic capacity. We develop a logistic regression model using electronic medical records to estimate patients' no-show probabilities and illustrate the use of the estimates in creating clinic schedules that maximize clinic capacity utilization while maintaining small patient waiting times and clinic overtime costs. This study used information on scheduled outpatient appointments collected over a three-year period at a Veterans Affairs medical center. The call-in process for 400 clinic days was simulated and for each day two schedules were created: the traditional method that assigned one patient per appointment slot, and the proposed method that scheduled patients according to their no-show probability to balance patient waiting, overtime and revenue. Combining patient no-show models with advanced scheduling methods would allow more patients to be seen a day while improving clinic efficiency. Clinics should consider the benefits of implementing scheduling software that includes these methods relative to the cost of no-shows.

Improving patient flow at an outpatient clinic: study of sources of variability and improvement factors.

This paper focuses on analyzing and improving patient flow at an outpatient clinic of the Indiana University Medical Group. A structured process analysis and improvement approach was used to identify sources of variability and improvement factors. A process map, that matched the flow process at the clinic, was developed and validated. Key sources of variability that had potential to contribute to congestion in flow were identified. Data on task times were collected by observing the process with stopwatch or from historical records. A simulation model corresponding to the process map was developed, and the output was validated. Several ideas to modify clinic operations were tested on the validated simulation model. The overall result was an improvement in both the mean and the standard deviation of patient wait time, as well as higher utilization of physicians' time. The clinic has implemented several of our recommendations and experienced significant improvements.

Effect of advanced access scheduling on processes and intermediate outcomes of diabetes care and utilization.

BACKGROUND: The impact of open access (OA) scheduling on chronic disease care and outcomes has not been studied. OBJECTIVE: To assess the effect of OA implementation at 1 year on: (1) diabetes care processes (testing for A1c, LDL, and urine microalbumin), (2) intermediate outcomes of diabetes care (SBP, A1c, and LDL level), and (3) health-care utilization (ED visits, hospitalization, and outpatient visits). METHODS: We used a retrospective cohort study design to compare process and outcomes for 4,060 continuously enrolled adult patients with diabetes from six OA clinics and six control clinics. Using a generalized linear model framework, data were modeled with linear regression for continuous, logistic regression for dichotomous, and Poisson regression for utilization outcomes. RESULTS: Patients in the OA clinics were older, with a higher percentage being African American (51% vs 34%) and on insulin. In multivariate analyses, for A1c testing, the odds ratio for African-American patients in OA clinics was 0.47 (CI: 0.29-0.77), compared to non-African Americans [OR 0.27 (CI: 0.21-0.36)]. For urine microablumin, the odds ratio for non-African Americans in OA clinics was 0.37 (CI: 0.17-0.81). At 1 year, in adjusted analyses, patients in OA clinics had significantly higher SBP (mean 6.4 mmHg, 95% CI 5.4 - 7.5). There were no differences by clinic type in any of the three health-care utilization outcomes. CONCLUSION: OA scheduling was associated with worse processes of care and SBP at 1 year. OA clinic scheduling should be examined more critically in larger systems of care, multiple health-care settings, and/or in a randomized controlled trial.

Structural and process factors affecting the implementation of antimicrobial resistance prevention and control strategies in U.S. hospitals.

BACKGROUND: To address increases in the incidence of infection with antimicrobial-resistant pathogens, the National Foundation for Infectious Diseases and Centers for Disease Control and Prevention proposed two sets of strategies to (a) optimize antibiotic use and (b) prevent the spread of antimicrobial resistance and control transmission. However, little is known about the implementation of these strategies. PURPOSE: Our objective is to explore organizational structural and process factors that facilitate the implementation of National Foundation for Infectious Diseases/Centers for Disease Control and Prevention strategies in U.S. hospitals. METHODS: We surveyed 448 infection control professionals from a national sample of hospitals. Clinically anchored in the Donabedian model that defines quality in terms of structural and process factors, with the structural domain further informed by a contingency approach, we modeled the degree to which National Foundation for Infectious Diseases and Centers for Disease Control and Prevention strategies were implemented as a function of formalization and standardization of protocols, centralization of decision-making hierarchy, information technology capabilities, culture, communication mechanisms, and interdepartmental coordination, controlling for hospital characteristics. FINDINGS: Formalization, standardization, centralization, institutional culture, provider-management communication, and information technology use were associated with optimal antibiotic use and enhanced implementation of strategies that prevent and control antimicrobial resistance spread (all p < .001). However, interdepartmental coordination for patient care was inversely related with antibiotic use in contrast to antimicrobial resistance spread prevention and control (p < .0001). IMPLICATIONS: Formalization and standardization may eliminate staff role conflict, whereas centralized authority may minimize ambiguity. Culture and communication likely promote internal trust, whereas information technology use helps integrate and support these organizational processes. These findings suggest concrete strategies for evaluating current capabilities to implement effective practices and foster and sustain a culture of patient safety.

Design and reach of a primary care weight management program.

PURPOSE: To report the reach of Take Charge Lite (TCL), a lifestyle weight management program. METHODS: Eight months of data were used to determine prescription reach (number of patients receiving a TCL prescription divided by total eligible), visit reach (number of patients with a TCL visit divided by total receiving a prescription), and total reach (number of patients with a TCL visit divided by total eligible). RESULTS: TCL prescription reach was 42.3% (1,071 prescriptions/2,528 eligible). There were 411 TCL first visits for an average visit reach of 38% (411/1,071). Total reach for the full period was 16% (411/2,528). Total reach was highest among female, middle-aged, and Black patients. CONCLUSION: There is potential for public health impact from such efforts but issues of reach require further planning and evaluation.