Higher Moments for Optimal Balance Weighting in Causal Estimation.

We expand upon a simulation study that compared three promising methods for estimating weights for assessing the average treatment effect on the treated for binary treatments: generalized boosted models, covariate-balancing propensity scores, and entropy balance. The original study showed that generalized boosted models can outperform covariate-balancing propensity scores, and entropy balance when there are likely to be nonlinear associations in both the treatment assignment and outcome models and when the other two models are fine-tuned to obtain balance only on first-order moments. We explore the potential benefit of using higher-order moments in the balancing conditions for covariate-balancing propensity scores and entropy balance. Our findings showcase that these two models should, by default, include higher-order moments and focusing only on first moments can result in substantial bias in estimated treatment effect estimates from both models that could be avoided using higher moments.

Longer-Term Impact of the Flavored Tobacco Restriction in Two Massachusetts Communities: A Mixed-Methods Study.

INTRODUCTION: In response to high rates of youth tobacco use, many states and localities are considering regulations on flavored tobacco products. The purpose of this study was to assess whether flavored tobacco restrictions (FTRs) in Massachusetts curb youth tobacco use over time and whether a dose-response effect of length of policy implementation on tobacco-related outcomes exists. AIMS AND METHODS: Using a quasiexperimental design, two municipalities with a FTR (adopting municipalities) were matched to a comparison municipality without a FTR. Surveys were administered before (December 2015) and after (January and February 2018) policy implementation to high school students in these municipalities (more than 2000 surveys completed at both timepoints). At follow-up, adopting municipalities had a policy in place for 1 and 2 years, respectively. In 2019, focus groups were conducted with high school students in each municipality. RESULTS: Increases seen in current tobacco use from baseline to follow-up were significantly smaller in adopting municipalities compared to the comparison (-9.4% [-14.2%, -4.6%] and -6.3% [-10.8%, -1.8%], respectively). However, policy impact was greater in one adopting municipality despite shorter length of implementation. Focus groups indicated reasons for differential impact, including proximity to localities without FTRs. CONCLUSIONS: Restrictions implemented in adopting municipalities had positive impacts on youth tobacco awareness and use 1-2 years postimplementation. Policy impact varies depending on remaining points of access to flavored tobacco, as such policy effectiveness may increase as more localities restrict these products. IMPLICATIONS: In response to high rates of youth flavored tobacco use (including flavored vape products), federal, state, and localities have passed FTRs that reduce availability of flavored tobacco in youth-accessible stores. Previous research has found that FTRs may curb youth tobacco use in the short-term; however, the long-term effectiveness remains unknown.This is the first study to show FTRs can curb youth tobacco use and reduce youth awareness of tobacco prices and brands even 2 years after policy passage. Municipality-specific factors, including proximity to localities without FTRs, may attenuate policy impact, highlighting the importance of widespread policy adoption.

Implementation of Medical Homes in Federally Qualified Health Centers.

BACKGROUND: From 2011 through 2014, the Federally Qualified Health Center Advanced Primary Care Practice Demonstration provided care management fees and technical assistance to a nationwide sample of 503 federally qualified health centers to help them achieve the highest (level 3) medical-home recognition by the National Committee for Quality Assurance, a designation that requires the implementation of processes to improve access, continuity, and coordination. METHODS: We examined the achievement of medical-home recognition and used Medicare claims and beneficiary surveys to measure utilization of services, quality of care, patients' experiences, and Medicare expenditures in demonstration sites versus comparison sites. Using difference-in-differences analyses, we compared changes in outcomes in the two groups of sites during a 3-year period. RESULTS: Level 3 medical-home recognition was awarded to 70% of demonstration sites and to 11% of comparison sites. Although the number of visits to federally qualified health centers decreased in the two groups, smaller reductions among demonstration sites than among comparison sites led to a relative increase of 83 visits per 1000 beneficiaries per year at demonstration sites (P<0.001). Similar trends explained the higher performance of demonstration sites with respect to annual eye examinations and nephropathy tests (P<0.001 for both comparisons); there were no significant differences with respect to three other process measures. Demonstration sites had larger increases than comparison sites in emergency department visits (30.3 more per 1000 beneficiaries per year, P<0.001), inpatient admissions (5.7 more per 1000 beneficiaries per year, P=0.02), and Medicare Part B expenditures ($37 more per beneficiary per year, P=0.02). Demonstration-site participation was not associated with relative improvements in most measures of patients' experiences. CONCLUSIONS: Demonstration sites had higher rates of medical-home recognition and smaller decreases in the number of patients' visits to federally qualified health centers than did comparison sites, findings that may reflect better access to primary care relative to comparison sites. Demonstration sites had larger increases in emergency department visits, inpatient admissions, and Medicare Part B expenditures. (Funded by the Centers for Medicare and Medicaid Services.).

Evaluating tobacco retailer experience and compliance with a flavoured tobacco product restriction in Boston, Massachusetts: impact on product availability, advertisement and consumer demand.

BACKGROUND: Flavoured tobacco products are widely available in youth-accessible retailers and are associated with increased youth initiation and use. The city of Boston, Massachusetts restricted the sale of flavoured tobacco products, including cigars, smokeless tobacco and e-cigarettes, to adult-only retailers. This paper describes the impact of the restriction on product availability, advertisement and consumer demand. METHODS: Between January and December 2016, data were collected in 488 retailers in Boston at baseline and 469 retailers at 8-month follow-up, measuring the type, brand and flavour of tobacco products being sold. Process measures detailing the educational enforcement process, and retailer experience were also captured. McNemar tests and t-tests were used to assess the impact of the restriction on product availability. RESULTS: After policy implementation, only 14.4% of youth-accessible retailers sold flavoured products compared with 100% of retailers at baseline (p<0.001). Flavoured tobacco product advertisements decreased from being present at 58.9% of retailers to 28.0% at follow-up (p<0.001). Postimplementation, retailers sold fewer total flavoured products, with remaining products often considered as concept flavours (eg, jazz, blue). At follow-up, 64.0% of retailers reported that customers only asked for flavoured products a few times a week or did not ask at all. Retailers reported that educational visits and the flavoured product guidance list aided with compliance. CONCLUSION: Tobacco retailers across Boston were largely in compliance with the regulation. Availability of flavoured tobacco products in youth-accessible retailers declined city-wide after policy implementation. Strong educational and enforcement infrastructure may greatly enhance retailer compliance.

Association of Primary and Specialty Care Integration on Physician Communication and Cancer Screening in Safety-Net Clinics.

INTRODUCTION: Primary care providers who lack reliable referral relationships with specialists may be less likely than those who do have such relationships to conduct cancer screenings. Community health centers (CHCs), which provide primary care to disadvantaged populations, have historically reported difficulty accessing specialty care for their patients. This study aimed to describe strategies CHCs use to integrate care with specialists and examine whether more strongly integrated CHCs have higher rates of screening for colorectal and cervical cancers and report better communication with specialists. METHODS: Using a 2017 survey of CHCs in 12 states and the District of Columbia and administrative data, we estimated the association between a composite measure of CHC/specialist integration and 1) colorectal and cervical cancer screening rates, and 2) 4 measures of CHC/specialist communication using multivariate regression models. RESULTS: Integration strategies commonly reported by CHCs included having specialists deliver care on-site (80%) and establishing referral agreements with specialists (70%). CHCs that were most integrated with specialists had 5.6 and 6.8 percentage-point higher colorectal and cervical cancer screening rates, respectively, than the least integrated CHCs (P < .05). They also had significantly higher rates of knowing that specialist visits happened (67% vs 42%), knowing visit outcomes (65% vs 42%), receiving information after visits (47% vs 21%), and timely receipt of information (44% vs 27%). CONCLUSION: CHCs use various strategies to integrate primary and specialty care. Efforts to promote CHC/specialist integration may help increase rates of cancer screening.

Differences in Consumer Assessment of Healthcare Providers and Systems Clinician and Group Survey Scores by Recency of the Last Visit: Implications for Comparability of Periodic and Continuous Sampling.

BACKGROUND: Patient experience data can be collected by sampling patients periodically (eg, patients with any visits over a 1-year period) or sampling visits continuously (eg, sampling any visit in a monthly interval). Continuous sampling likely yields a sample with more frequent and more recent visits, possibly affecting the comparability of data collected under the 2 approaches. OBJECTIVE: To explore differences in Consumer Assessment of Healthcare Providers and Systems Clinician and Group survey (CG-CAHPS) scores using periodic and continuous sampling. RESEARCH DESIGN: We use observational data to estimate case-mix-adjusted differences in patient experience scores under 12-month periodic sampling and simulated continuous sampling. SUBJECTS: A total of 29,254 adult patients responding to the CG-CAHPS survey regarding visits in the past 12 months to any of 480 physicians, 2007-2009. MEASURES: Overall doctor rating and 4 CG-CAHPS composite measures of patient experience: doctor communication, access to care, care coordination, and office staff. RESULTS: Compared with 12-month periodic sampling, simulated continuous sampling yielded patients with more recent visits (by definition), more frequent visits (92% of patients with 2+ visits, compared with 76%), and more positive case-mix-adjusted CAHPS scores (2-3 percentage points higher). CONCLUSIONS: Patients with more frequent visits reported markedly higher CG-CAHPS scores, but this causes only small to moderate changes in adjusted physician-level scores between 12-month periodic and continuous sampling schemes. Caution should be exercised in trending or comparing scores collected through different schemes.

Primary Care Visit Regularity and Patient Outcomes: an Observational Study.

BACKGROUND: Regular primary care visits may allow an opportunity to deliver high-value, proactive care. However, no previous study has examined whether more temporally regular primary care visits predict better outcomes. OBJECTIVE: To examine the relationship between the temporal regularity of primary care (PC) visits and outcomes. DESIGN: Retrospective cohort study. PARTICIPANTS: We used Medicare claims for 378,862 fee-for-service Medicare beneficiaries, who received PC at 1328 federally qualified health centers from 2010 to 2014. MAIN MEASURES: We created five beneficiary groups based upon their annual number of PC visits. We further subdivided those groups according to whether PC visits occurred with more or less regularity than the median value. We compared these 10 subgroups on three outcomes, adjusting for beneficiary characteristics: emergency department (ED) visits, hospitalizations, and total Medicare expenditures. We also aggregated to the clinic level and divided clinics into tertiles of more, less, and similarly regular to predicted. We compared these three groups of clinics on the same three outcomes of care. KEY RESULTS: Within each visit frequency group, beneficiaries in the subgroup with fewer regular visits had more ED visits, more hospitalizations, and higher costs. Among beneficiaries with the most frequent PC visits, the less regular subgroup had more ED visits (1.70 vs. 1.31 per person-year), more hospitalizations (0.69 vs. 0.57), and greater Medicare expenditures ($20,731 vs. $17,430, p < 0.001 for all comparisons). Clinics whose PC visits were more regular than predicted also had better outcomes than other clinics, although the effect sizes were smaller. CONCLUSIONS: Temporal patterns of PC visits are correlated with outcomes, even among beneficiaries who appear otherwise similar. Measuring the temporal regularity of PC visits may be useful for identifying beneficiaries at risk for adverse events, and as a barometer for and an impetus to clinic-level quality improvement.

Exposure to the Tobacco Power Wall Increases Adolescents' Willingness to Use E-cigarettes in the Future.

INTRODUCTION: Adolescents' e-cigarette use is now more prevalent than their combustible cigarette use. Youth are exposed to e-cigarette advertising at retail point-of-sale (POS) locations via the tobacco power wall (TPW), but no studies have assessed whether exposure to the TPW influences susceptibility to future e-cigarette use. METHODS: The study was conducted in the RAND Store Lab (RSL), a life-sized replica of a convenience store developed to experimentally evaluate how POS advertising influences tobacco use risk under simulated shopping conditions. In a between-subjects experiment, 160 adolescents (M age = 13.82; 53% female, 56% white) were randomized to shop in the RSL under one of two conditions: (1) TPW located behind the cashier (n = 80); or (2) TPW hidden behind an opaque wall (n = 80). Youths rated willingness to use e-cigarettes ("If one of your best friends were to offer you an e-cigarette, would you try it?"; 1 = definitely not, 10 = definitely yes) before and after exposure. Linear regression assessed differences in pre-post changes in willingness to use across conditions. RESULTS: Ever-use of e-cigarettes was 5%; use of cigarettes was 8%; use of both e-cigarettes and cigarettes was 4%. There were no differences between TPW conditions on these or other baseline variables (eg, age, gender). Compared to the hidden condition, TPW exposure was associated with greater increases in willingness to use e-cigarettes in the future (B = 1.15, standard error [SE] = 0.50, p = .02). CONCLUSIONS: Efforts to regulate visibility of the TPW at POS may help to reduce youths' susceptibility to initiating e-cigarettes as well as conventional tobacco products like cigarettes. IMPLICATIONS: Past work suggests that exposure to the TPW in common retail settings, like convenience stores, may increase adolescents' susceptibility to smoking cigarettes. This experimental study builds upon prior research to show that exposure to the TPW at retail POS similarly increases adolescents' willingness to use e-cigarettes in the future. Efforts to regulate the visibility of the TPW in retail settings may help to reduce youths' susceptibility to initiating nicotine and tobacco products, including e-cigarettes.

Placing Antismoking Graphic Warning Posters at Retail Point-of-Sale Locations Increases Some Adolescents' Susceptibility to Future Smoking.

Objectives: This experiment tested whether introducing graphic antitobacco posters at point-of-sale (POS) had any effect on adolescents' susceptibility to future cigarette smoking and whether these effects were moderated by adolescents' baseline risk of cigarette smoking. Methods: The study was conducted in the RAND StoreLab, a life-sized replica of a convenience store that was developed to experimentally evaluate how changing aspects of tobacco advertising displays in retail POS environments influence tobacco use risk and behavior during simulated shopping experiences. In this study, 441 adolescents were randomized to one of the four conditions in a 2 (graphic antismoking poster placed near the tobacco power wall: no, yes) × 2 (graphic antismoking poster placed near the cash register: no, yes) experimental design. The outcome of interest was susceptibility to future cigarette smoking. Results: The addition of antismoking posters at POS led to a significant increase in future smoking susceptibility among those adolescents who already were at high risk for smoking in the future (p < .045). The introduction of graphic antismoking posters had no impact on committed never smokers, regardless of poster location; never smokers' susceptibility to future smoking was uniformly low across experimental conditions. Conclusions: Introducing graphic antismoking posters at POS may have the unintended effect of further increasing cigarette smoking susceptibility among adolescents already at risk.

Differential item functioning of the CAHPS® In-Center Hemodialysis Survey.

PURPOSE: End-stage renal disease patients' experience of care is an integral part of the assessment of the quality of the care provided at hemodialysis centers and is needed to promote patient choice, quality improvement, and accountability. The purpose of this study is to evaluate the In-Center Hemodialysis Consumer Assessment of Healthcare Providers and Systems (ICH-CAHPS®) survey and its equivalence in different age, gender, race, and education subgroups. METHODS: The ICH-CAHPS survey was administered to 1454 patients from 32 dialysis facilities. For the characteristics compared, the sample had 756 participants younger than 65 years old, 739 men, 516 Black, 567 White, and 970 with less than high school diploma. Three different patient experience constructs were studied including nephrologist's communication and caring, quality of care and operations, and providing information to patients. We used item response theory analysis to examine the possibility of differential item functioning (DIF) by patient age, gender, race, and education separately after controlling for the other DIF characteristics and additional confounding variables including survey mode, mental, and general health status as well as duration on dialysis. RESULTS: The three constructs studied were unidimensional and no major DIF was observed on the composites. Some non-equivalences were observed when confounders were not controlled for, suggesting that such covariates can be important factors in understanding the possibility of disparity in patients' experience. CONCLUSIONS: The ICH-CAHPS is a promising survey to elicit hemodialysis patients' experience that has good psychometric properties and provides a standardized tool for assessing age, gender, race, or education disparity.

Do graphic health warning labels on cigarette packages deter purchases at point-of-sale? An experiment with adult smokers.

This experiment tested whether the presence of graphic health warning labels on cigarette packages deterred adult smokers from purchasing cigarettes at retail point-of-sale (POS), and whether individual difference variables moderated this relationship. The study was conducted in the RAND StoreLab (RSL), a life-sized replica of a convenience store that was developed to evaluate how changing POS tobacco advertising influences tobacco use outcomes during simulated shopping experiences. Adult smokers (n = 294; 65% female; 59% African-American; 35% White) were assigned randomly to shop in the RSL under one of two experimental conditions: graphic health warning labels present on cigarette packages versus absent on cigarette packages. Cigarette packages in both conditions were displayed on a tobacco power wall, which was located behind the RSL cashier counter. Results revealed that the presence of graphic health warning labels did not influence participants' purchase of cigarettes as a main effect. However, nicotine dependence acted as a significant moderator of experimental condition. Graphic health warning labels reduced the chances of cigarette purchases for smokers lower in nicotine dependence but had no effect on smokers higher in dependence.

Utilization of health care services among Medicare beneficiaries who visit federally qualified health centers.

BACKGROUND: Previous studies have disagreed on whether patients who receive primary care from federally qualified health centers (FQHCs) have different utilization patterns than patients who receive care elsewhere. Our objective was to compare patterns of healthcare utilization between Medicare beneficiaries who received primary care from FQHCs and Medicare beneficiaries who received primary care from another source. METHODS: We compared characteristics and ambulatory, emergency department (ED), and inpatient utilization during 2013 between 130,637 Medicare beneficiaries who visited an FQHC for the majority of their primary care in 2013 (FQHC users) and a random sample of 1,000,000 Medicare fee-for-service (FFS) beneficiaries who did not visit an FQHC (FQHC non-users). We then created a propensity-matched sample of 130,569 FQHC users and 130,569 FQHC non-users to account for differences in observable patient characteristics between the two groups and repeated all comparisons. RESULTS: Before matching, the two samples differed in terms of age (42% below age 65 for FQHC users vs. 16% among FQHC non-users, p < 0.001 for all comparisons), disability (52% vs. 24%), eligibility for Medicaid (56% vs. 21%), severe mental health disorders (17% vs. 10%), and substance abuse disorders (6% vs. 3%). FQHC users had fewer ambulatory visits to primary care or specialist providers (10.0 vs. 12.0 per year), more ED visits (1.2 vs. 0.8), and fewer hospitalizations (0.3 vs. 0.4). In the matched sample, FQHC users still had slightly lower utilization of ambulatory visits to primary care or specialist providers (10.0 vs. 11.2) and slightly higher utilization of ED visits (1.2 vs. 1.0), compared to FQHC users. Hospitalization rates between the two groups were similar (0.3 vs. 0.3). CONCLUSIONS: In this population of Medicare FFS beneficiaries, FQHC users had slightly lower utilization of ambulatory visits and slightly higher utilization of ED visits, compared to FQHC non-users, after accounting for differences in case mix. This study suggests that FQHC care and non-FQHC care are associated with broadly similar levels of healthcare utilization among Medicare FFS beneficiaries.

Using the Early Childhood Environment Rating Scale-Revised in High Stakes Contexts: Does Evidence Warrant the Practice?

Increasingly, states establish different thresholds on the Early Childhood Environment Rating Scale-Revised (ECERS-R), and use these thresholds to inform high-stakes decisions. However, the validity of the ECERS-R for these purposes is not well established. The objective of this study is to identify thresholds on the ECERS-R that are associated with preschool-aged children's social and cognitive development. Applying non-parametric modeling to the nationally-representative Early Childhood Longitudinal Study Birth Cohort (ECLS-B) dataset, we found that once classrooms achieved a score of 3.4 on the overall ECERS-R composite score, there was a leveling-off effect, such that no additional improvements to children's social, cognitive, or language outcomes were observed. Additional analyses found that ECERS-R subscales that focused on teaching and caregiving processes, as opposed to the physical environment, did not show leveling-off effects. The findings suggest that the usefulness of the ECERS-R for discerning associations with children's outcome may be limited to certain score ranges or subscales.

The Right Tool for the Job: Choosing Between Covariate-balancing and Generalized Boosted Model Propensity Scores.

Estimating the causal effect of an exposure (vs. some control) on an outcome using observational data often requires addressing the fact that exposed and control groups differ on pre-exposure characteristics that may be related to the outcome (confounders). Propensity score methods have long been used as a tool for adjusting for observed confounders in order to produce more valid causal effect estimates under the strong ignorability assumption. In this article, we compare two promising propensity score estimation methods (for time-invariant binary exposures) when assessing the average treatment effect on the treated: the generalized boosted models and covariate-balancing propensity scores, with the main objective to provide analysts with some rules-of-thumb when choosing between these two methods. We compare the methods across different dimensions including the presence of extraneous variables, the complexity of the relationship between exposure or outcome and covariates, and the residual variance in outcome and exposure. We found that when noncomplex relationships exist between outcome or exposure and covariates, the covariate-balancing method outperformed the boosted method, but under complex relationships, the boosted method performed better. We lay out criteria for when one method should be expected to outperform the other with no blanket statement on whether one method is always better than the other.

Association Between Patient-Centered Medical Home Capabilities and Outcomes for Medicare Beneficiaries Seeking Care from Federally Qualified Health Centers.

BACKGROUND: Patient-centered medical home (PCMH) models of primary care have the potential to expand access, improve population health, and lower costs. Federally qualified health centers (FQHCs) were early adopters of PCMH models. OBJECTIVE: We measured PCMH capabilities in a diverse nationwide sample of FQHCs and assessed the relationship between PCMH capabilities and Medicare beneficiary outcomes. DESIGN: Cross-sectional, propensity score-weighted, multivariable regression analysis. PARTICIPANTS: A convenience sample of 804 FQHC sites that applied to a nationwide FQHC PCMH initiative and 231,163 Medicare fee-for-service beneficiaries who received a plurality of their primary care services from these sites. MAIN MEASURES: PCMH capabilities were self-reported using the National Committee for Quality Assurance's (NCQA's) 2011 application for PCMH recognition. Measures of utilization, continuity of care, quality, and Medicare expenditures were derived from Medicare claims covering a 1-year period ending October 2011. KEY RESULTS: Nearly 88% of sites were classified as having PCMH capabilities equivalent to NCQA Level 1, 2, or 3 PCMH recognition. These more advanced sites were associated with 228 additional FQHC visits per 1000 Medicare beneficiaries (95% CI: 176, 278), compared with less advanced sites; 0.02 points higher practice-level continuity of care (95% CI: 0.01, 0.03); and a greater likelihood of administering two of four recommended diabetes tests. However, more advanced sites were also associated with 181 additional visits to specialists per 1000 beneficiaries (95% CI: 124, 232) and 64 additional visits to emergency departments (95% CI: 35, 89)-but with no differences in inpatient utilization. More advanced sites had higher Part B expenditures ($111 per beneficiary [95% CI: $61, $158]) and total Medicare expenditures of $353 [95% CI: $65, $614]). CONCLUSIONS: Implementation of PCMH models in FQHCs may be associated with improved primary care for Medicare beneficiaries. Expanded access to care, in combination with slower development of key PCMH capabilities, may explain higher Medicare expenditures and other types of utilization.

Assessing and improving organizational readiness to implement substance use disorder treatment in primary care: findings from the SUMMIT study.

BACKGROUND: Millions of people with substance use disorders (SUDs) need, but do not receive, treatment. Delivering SUD treatment in primary care settings could increase access to treatment because most people visit their primary care doctors at least once a year, but evidence-based SUD treatments are underutilized in primary care settings. We used an organizational readiness intervention comprised of a cluster of implementation strategies to prepare a federally qualified health center to deliver SUD screening and evidence-based treatments (extended-release injectable naltrexone (XR-NTX) for alcohol use disorders, buprenorphine/naloxone (BUP/NX) for opioid use disorders and a brief motivational interviewing/cognitive behavioral -based psychotherapy for both disorders). This article reports the effects of the intervention on key implementation outcomes. METHODS: To assess changes in organizational readiness we conducted pre- and post-intervention surveys with prescribing medical providers, behavioral health providers and general clinic staff (N = 69). We report on changes in implementation outcomes: acceptability, perceptions of appropriateness and feasibility, and intention to adopt the evidence-based treatments. We used Wilcoxon signed rank tests to analyze pre- to post-intervention changes. RESULTS: After 18 months, prescribing medical providers agreed more that XR-NTX was easier to use for patients with alcohol use disorders than before the intervention, but their opinions about the effectiveness and ease of use of BUP/NX for patients with opioid use disorders did not improve. Prescribing medical providers also felt more strongly after the intervention that XR-NTX for alcohol use disorders was compatible with current practices. Opinions of general clinic staff about the appropriateness of SUD treatment in primary care improved significantly. CONCLUSIONS: Consistent with implementation theory, we found that an organizational readiness implementation intervention enhanced perceptions in some domains of practice acceptability and appropriateness. Further research will assess whether these factors, which focus on individual staff readiness, change over time and ultimately predict adoption of SUD treatments in primary care.

What Drives Variation in Antibiotic Prescribing for Acute Respiratory Infections?

BACKGROUND: Acute respiratory infections are the most common symptomatic reason for seeking care among patients in the US, and account for the majority of all antibiotic prescribing, yet a large fraction of antibiotic prescriptions are inappropriate. OBJECTIVE: We sought to identify the underlying factors driving variation in antibiotic prescribing across clinicians and settings. DESIGN, PARTICIPANTS: Using electronic health data for adult ambulatory visits for acute respiratory infections to a retail clinic chain and primary care practices from an integrated healthcare system, we identified a random sample of clinicians for survey. MAIN MEASURES: We evaluated independent predictors of overall prescribing and imperfect antibiotic prescribing, controlling for clinician and site of care. We defined imperfect antibiotic prescribing as prescribing for non-antibiotic-appropriate diagnoses, failure to prescribe for an antibiotic-appropriate diagnosis, or prescribing a non-guideline-concordant antibiotic. KEY RESULTS: Response rates were 34 % for retail clinics and 24 % for physicians' offices (N = 187). Clinicians in physicians' offices prescribed antibiotics less often than those in retail clinics (53 % versus 67 %; p < 0.01), but had a higher imperfect antibiotic prescribing rate (65 % versus 31 %; p < 0.01). Feeling rushed was associated with higher antibiotic prescribing (OR 1.34; 95 % CI 1.03, 1.75). Antibiotic prescribing was also associated with clinician disagreement that antibiotics are overused (OR 1.60, 95 % CI, 1.16, 2.20). Imperfect antibiotic prescribing was associated with receiving antibiotic prescribing feedback (OR 1.35, 95 % CI 1.04, 1.75) and disagreement that patient demand was a problem (OR 1.66, 95 % CI 1.00, 2.73). Imperfect antibiotic prescribing was less common with clinicians who perceived that they prescribed antibiotics less often than their peers (OR 0.63, 95 % CI 0.46, 0.87). CONCLUSIONS: Poor-quality antibiotic prescribing was associated with feeling rushed, believing less strongly that antibiotics were overused, and believing that patient demand was not an issue, factors that can be assessed and addressed in future interventions.

Evaluating Differential Item Functioning in the English General Practice Patient Survey: Comparison of South Asian and White British Subgroups.

OBJECTIVE: To evaluate two 5-item patient experience scales from the English General Practice (GP) Patient Survey for evidence of differential item functioning (DIF) given prior evidence of substantially worse reported health care experiences for South Asian compared with white British respondents. SETTING: A national survey of English patients' primary care experiences. METHOD: We used classic test and item response theory analysis to examine the possibility of DIF by patient ethnicity (South Asian, white British) after controlling for age, sex, health status, and quality of life in the English GP Patient Survey conducted in 2011/2012. RESULTS: Data were available for 873,051 respondents (818,219 white British/54,832 South Asian from 7795 English practices) who answered items relating to experiences of GP or nurses' care. Internal consistency reliability was high and similar for South Asian and white British patients. White British patients reported better average experiences than South Asians, but there was no evidence of DIF or different item response curves for white British and South Asian respondents, even in sensitivity analyses using matched samples. CONCLUSIONS: All communication items in the English GP Patient Survey showed similar South Asian versus white British differences, with no evidence of DIF. In contrast, differences due to scale use or expectations are typically variable rather than constant across scales. While other possibilities remain, these findings increase the likelihood that the observed negative responses of South Asian patients to this national survey reflect true differences in their experiences of care.

Hiding the tobacco power wall reduces cigarette smoking risk in adolescents: using an experimental convenience store to assess tobacco regulatory options at retail point-of-sale.

OBJECTIVES: This experiment tested whether changing the location or visibility of the tobacco power wall in a life sized replica of a convenience store had any effect on adolescents' susceptibility to future cigarette smoking. METHODS: The study was conducted in the RAND StoreLab (RSL), a life sized replica of a convenience store that was developed to experimentally evaluate how changing aspects of tobacco advertising displays in retail point-of-sale environments influences tobacco use risk and behaviour. A randomised, between-subjects experimental design with three conditions that varied the location or visibility of the tobacco power wall within the RSL was used. The conditions were: cashier (the tobacco power wall was located in its typical position behind the cash register counter); sidewall (the tobacco power wall was located on a sidewall away from the cash register); or hidden (the tobacco power wall was located behind the cashier but was hidden behind an opaque wall). The sample included 241 adolescents. RESULTS: Hiding the tobacco power wall significantly reduced adolescents' susceptibility to future cigarette smoking compared to leaving it exposed (ie, the cashier condition; p=0.02). Locating the tobacco power wall on a sidewall away from the cashier had no effect on future cigarette smoking susceptibility compared to the cashier condition (p=0.80). CONCLUSIONS: Hiding the tobacco power wall at retail point-of-sale locations is a strong regulatory option for reducing the impact of the retail environment on cigarette smoking risk in adolescents.

Variation in treatment associated with life expectancy in a population-based cohort of men with early-stage prostate cancer.

BACKGROUND: Men with major comorbidities are at risk for overtreatment of prostate cancer due to uncertainty regarding their life expectancy. We sought to characterize life expectancy and treatment in a population-based cohort of men with differing ages and comorbidity burdens at diagnosis. METHODS: We sampled 96,032 men aged ≥66 years with early-stage prostate cancer who had Gleason scores ≤7 and were diagnosed during 1991 to 2007 from the Surveillance, Epidemiology, and End Results-Medicare database. We calculated cumulative incidence of other-cause mortality and determined treatment patterns among subgroups defined by age and Charlson comorbidity index scores. RESULTS: Overall, life expectancy was <10 years (10-year other-cause mortality rate, >50%) for 50,049 of 96,032 men (52%). Life expectancy differed by age and comorbidity score and was <10 years for men ages 66 to 69 years with Charlson scores ≥2, for men ages 70 to 74 years with Charlson scores ≥1, and for all men ages 75 to 79 years and ≥80 years. Among those who had a life expectancy <10 years, treatment was aggressive (surgery, radiation, or brachytherapy) for 68% of men aged 66 to 69 years, 69% of men aged 70 to 74 years, 57% of men aged 75 to 79 years, and 24% of men aged ≥80 years. Among these men, aggressive treatment was predominantly radiation therapy (50%, 53%, 63%, and 69%, respectively) and less frequently was surgery (30%, 25%, 13%, and 9%, respectively). Multivariate models revealed little variation in the probability of aggressive treatment by comorbidity status within age subgroups despite substantial differences in mortality. CONCLUSIONS: Men aged <80 years at diagnosis who have life expectancies <10 years often receive aggressive treatment for low-risk and intermediate-risk prostate cancer, mostly with radiation therapy.