Understanding the characteristics of Latino individuals with first-time DUI offenses to facilitate effective interventions.

Literature shows that Latinos who drink are more likely to experience alcohol-related consequences and less likely to seek care for alcohol misuse than Whites. We aim to understand characteristics, consumption patterns, and openness to treatment among Latino first-time offenders driving under the influence. Latino participants were significantly younger (29.0 years) than non-Latinos (37.7 years). In adjusted models, Latino participants were significantly more likely than non-Latinos to binge drink, but there were no significant group differences in amount of alcohol consumed in a typical week. There was no significant difference in incidence of alcohol-related consequences, readiness to change drinking, and driving behaviors in this sample.

Appropriate analyses of bimodal substance use frequency outcomes: a mixture model approach.

Background: In addiction research, outcome measures are often characterized by bimodal distributions. One mode can be for individuals with low substance use and the other mode for individuals with high substance use. Applying standard statistical procedures to bimodal data may result in invalid inference. Mixture models are appropriate for bimodal data because they assume that the sampled population is composed of several underlying subpopulations.Objectives: To introduce a novel mixture modeling approach to analyze bimodal substance use frequency data.Methods: We reviewed existing models used to analyze substance use frequency outcomes and developed multiple alternative variants of a finite mixture model. We applied all methods to data from a randomized controlled study in which 30-day alcohol abstinence was the primary outcome. Study data included 73 individuals (38 men and 35 women). Models were implemented in the software packages SAS, Stata, and Stan.Results: Shortcomings of existing approaches include: 1) inability to model outcomes with multiple modes, 2) invalid statistical inferences, including anti-conservative p-values, 3) sensitivity of results to the arbitrary choice to model days of substance use versus days of substance abstention, and 4) generation of predictions outside the range of common substance use frequency outcomes. Our mixture model variants avoided all of these shortcomings.Conclusions: Standard models of substance use frequency outcomes can be problematic, sometimes overstating treatment effectiveness. The mixture models developed improve the analysis of bimodal substance use frequency.

Rates and Impact of Adherence to Recommended Care for Unhealthy Alcohol Use.

BACKGROUND: Unhealthy alcohol use is a major worldwide health problem. Yet few studies have assessed provider adherence to the alcohol-related care recommended in clinical practice guidelines, nor links between adherence to recommended care and outcomes. OBJECTIVES: To describe quality of care for unhealthy alcohol use and its impacts on drinking behavior RESEARCH DESIGN: Prospective observational cohort study of quality of alcohol care for the population of patients screening positive for unhealthy alcohol use in a large Veterans Affairs health system. PARTICIPANTS: A total of 719 patients who screened positive for unhealthy alcohol use at one of 11 primary care practices and who completed baseline and 6-month telephone interviews. MAIN MEASURES: Using administrative encounter and medical record data, we assessed three composite and 21 individual process-based measures of care delivered across primary and specialty care settings. We assessed self-reported daily alcohol use using telephone interviews at baseline and 6-month follow-up. KEY RESULTS: The median proportion of patients who received recommended care across measures was 32.8% (range < 1% for initiating pharmacotherapy to 93% for depression screening). There was negligible change in drinking for the study population between baseline and 6 months. In covariate-adjusted analyses, no composites were significantly associated with changes in heavy drinking days or drinks per week, and just one of nine individual measures tested was significantly associated. In a subsample of patients drinking above recommended weekly limits prior to screening, two of nine individual measures were significantly associated. CONCLUSIONS: This study shows wide variability in receipt of recommended care for unhealthy alcohol use. Receipt of recommended interventions for reducing drinking was frequently not associated with decreased drinking. Results suggest deficits in provision of comprehensive alcohol care and in understanding how to improve population-based drinking outcomes.

Randomized Clinical Trial Examining Cognitive Behavioral Therapy for Individuals With a First-Time DUI Offense.

BACKGROUND: Driving under the influence (DUI) programs are a unique setting to reduce disparities in treatment access to those who may not otherwise access treatment. Providing evidence-based therapy in these programs may help prevent DUI recidivism. METHODS: We conducted a randomized clinical trial of 312 participants enrolled in 1 of 3 DUI programs in California. Participants were 21 and older with a first-time DUI offense who screened positive for at-risk drinking in the past year. Participants were randomly assigned to a 12-session manualized cognitive behavioral therapy (CBT) or usual care (UC) group and then surveyed 4 and 10 months later. We conducted intent-to-treat analyses to test the hypothesis that participants receiving CBT would report reduced impaired driving, alcohol consumption (drinks per week, abstinence, and binge drinking), and alcohol-related negative consequences. We also explored whether race/ethnicity and gender moderated CBT findings. RESULTS: Participants were 72.3% male and 51.7% Hispanic, with an average age of 33.2 (SD = 12.4). Relative to UC, participants receiving CBT had lower odds of driving after drinking at the 4- and 10-month follow-ups compared to participants receiving UC (odds ratio [OR] = 0.37, p = 0.032, and OR = 0.29, p = 0.065, respectively). This intervention effect was more pronounced for females at 10-month follow-up. The remaining 4 outcomes did not significantly differ between UC versus CBT at 4- and 10-month follow-ups. Participants in both UC and CBT reported significant within-group reductions in 2 of 5 outcomes, binge drinking and alcohol-related consequences, at 10-month follow-up (p < 0.001). CONCLUSIONS: In the short-term, individuals receiving CBT reported significantly lower rates of repeated DUI than individuals receiving UC, which may suggest that learning cognitive behavioral strategies to prevent impaired driving may be useful in achieving short-term reductions in impaired driving.

Does Documented Brief Intervention Predict Decreases in Alcohol Use in Primary Care?

BACKGROUND: Brief intervention (BI) is recommended for patients with unhealthy alcohol use, but the effectiveness of BI in usual care settings remains unclear. OBJECTIVE: We evaluated whether BI predicts decreases in drinking 6 months after a positive screen for unhealthy alcohol use. METHOD: We enrolled patients who recently screened positive for unhealthy alcohol use during a routine screen in Veterans Health Administration primary care. We conducted medical record review to assess whether providers documented advice to reduce or abstain, feedback about risks to health, feedback about how patient drinking compares to norms or recommended limits, and discussion of drinking-related goals. BI elements were coded from 7 days before the date of the positive screen to 60 days after. We conducted baseline and 6-month follow-up telephone interviews to assess change in past 30-day drinking. We fit regression models examining each BI element and another model for the total count of instances of any combination of elements. RESULTS: Of the 327 patients included, 86% had at least one documented instance of receiving advice, 86% had risk feedback, 55% had normative feedback, 38% had goal discussion, and 75% had three or more instances of any combination of elements of BI. None of the individual BI elements, nor the total number of instances, were significantly associated with decreased drinking. CONCLUSIONS: Results suggest that provider documentation of elements of BI and increasing numbers of instances of BI elements were not associated with decreased heavy drinking at 6-month follow-up among patients identified with unhealthy alcohol use.

What Role Does Efficiency Play in Understanding the Relationship Between Cost and Quality in Physician Organizations?

BACKGROUND: The belief that there is inefficiency, or the potential to improve patient health at current levels of spending, is driving the push for greater value in health care. Previous studies demonstrate overuse of a narrow set of services, suggesting provider inefficiency, but existing studies neither quantify inefficiency more broadly nor assess its variation across physician organizations (POs). DATA AND METHODS: We used data on quality of care and total cost of care from 129 California POs participating in a statewide value-based pay-for-performance program. We estimated a production function with quality as the output and cost as the input, using a stochastic frontier model, to develop a measure of relative efficiency for each PO. To validate the efficiency measure, we examined correlations of PO efficiency estimates with indicators representing overuse of services. RESULTS: The estimated production function showed that PO quality was positively associated with costs, although there were diminishing marginal returns to spending. A certain minimum level of spending was associated with high quality even among efficient POs. Most strikingly, however, POs had substantial variation in efficiency, producing widely differing levels of quality for the same cost. CONCLUSIONS: Differences among POs in the efficiency with which they produce quality suggest opportunities for improvements in care delivery that increase quality without increasing spending.

Bayesian restricted spatial regression for examining session features and patient outcomes in open-enrollment group therapy studies.

Group-based interventions have been developed for treating patients across a range of health conditions. Enrollment into such groups often occurs on an open (or rolling) basis. Conditional autoregression modeling of random session effects has been proposed to account for the expected correlation in session effects associated with the overlap in patient participation session to session. However, when the analytic objective is to examine the relationship between a fixed-effect session feature and a patient outcome using conditional autoregression, confounding might arise if the fixed session feature of interest and the random session effects vary across sessions in similar ways, resulting in bias and inflated standard errors of a fixed-effect session feature of interest. Motivated by the goal of examining the relationships between outcomes and the session features of leader and session module theme, we applied restricted spatial regression to the analysis of patient outcomes collected from 132 participants in an open-enrollment group for treating depression among patients of a residential alcohol and other drug treatment program, adapting the approach to the multilevel data structure of open-enrollment group data. As compared with standard conditional autoregression, the restricted regression approach resulted in more precise estimates of regression coefficients of the module theme and leader predictor variables. The restricted regression approach provides an important analytic tool for group therapy researchers who are investigating the relationship between key components of open-enrollment group therapy interventions and patient outcomes.

Bayesian Semi- and Non-parametric Models for Longitudinal Data with Multiple Membership Effects in R.

We introduce growcurves for R that performs analysis of repeated measures multiple membership (MM) data. This data structure arises in studies under which an intervention is delivered to each subject through the subject's participation in a set of multiple elements that characterize the intervention. In our motivating study design under which subjects receive a group cognitive behavioral therapy (CBT) treatment, an element is a group CBT session and each subject attends multiple sessions that, together, comprise the treatment. The sets of elements, or group CBT sessions, attended by subjects will partly overlap with some of those from other subjects to induce a dependence in their responses. The growcurves package offers two alternative sets of hierarchical models: 1. Separate terms are specified for multivariate subject and MM element random effects, where the subject effects are modeled under a Dirichlet process prior to produce a semi-parametric construction; 2. A single term is employed to model joint subject-by-MM effects. A fully non-parametric dependent Dirichlet process formulation allows exploration of differences in subject responses across different MM elements. This model allows for borrowing information among subjects who express similar longitudinal trajectories for flexible estimation. growcurves deploys "estimation" functions to perform posterior sampling under a suite of prior options. An accompanying set of "plot" functions allow the user to readily extract by-subject growth curves. The design approach intends to anticipate inferential goals with tools that fully extract information from repeated measures data. Computational efficiency is achieved by performing the sampling for estimation functions using compiled C++.

Evaluating the impact of getting to outcomes-underage drinking on prevention capacity and alcohol merchant attitudes and selling behaviors.

Underage drinking is a significant problem facing US communities. Several environmental alcohol prevention (EAP) strategies (laws, regulations, responsible beverage service training and practices) successfully address underage drinking. Communities, however, face challenges carrying out these EAP strategies effectively. This small-scale, 3-year, randomized controlled trial assessed whether providing prevention coalitions with Getting To Outcomes-Underage Drinking (GTO-UD), a tool kit and implementation support intervention, helped improve implementation of two common EAP strategies, responsible beverage service training (RBS) and compliance checks. Three coalitions in South Carolina and their RBS and compliance check programs received the 16-month GTO-UD intervention, including the GTO-UD manual, training, and onsite technical assistance, while another three in South Carolina maintained routine operations. The measures, collected at baseline and after the intervention, were a structured interview assessing how well coalitions carried out their work and a survey of merchant attitudes and practices in the six counties served by the participating coalitions. Over time, the quality of some RBS and compliance check activities improved more in GTO-UD coalitions than in the control sites. No changes in merchant practices or attitudes significantly differed between the GTO-UD and control groups, although merchants in the GTO-UD counties did significantly improve on refusing sales to minors while control merchants did not.

The quality of mental health care for veterans of Operation Enduring Freedom/Operation Iraqi Freedom.

BACKGROUND: Some Operation Enduring Freedom/Operation Iraqi Freedom (OEF/OIF) veterans experience serious mental health (MH) problems. As OEF/OIF soldiers leave active military duty, their growing numbers pose a challenge to the Department of Veterans Affairs (VA) in delivering high-quality mental health/substance-use disorder (MH/SUD) care. OBJECTIVE: To determine whether the quality of MH/SUD care provided by the VA differs by OEF/OIF veteran status. METHODS: Veterans with selected MH/SUDs were identified from administrative records using diagnostic codes. OEF/OIF service was determined based on Defense Manpower Data Center separation files. Eleven processes of care and 7 utilization performance indicators were examined. Regression analyses were adjusted for veteran demographic and clinical characteristics to test for differences in care by OEF/OIF status. RESULTS: Of the 836,699 veterans with selected diagnoses who received MH/SUD treatment in FY2007, 52,870 (6.3%) were OEF/OIF veterans. In unadjusted analyses, OEF/OIF veterans were more likely to receive evidence-based care processes captured by 6 of the 11 dichotomous performance indicators examined; however, among those receiving psychotherapy encounters, OEF/OIF veterans received significantly fewer visits (6.9 vs. 9.7, P<0.0001). In adjusted analyses, only postdischarge follow-up remained meaningfully higher for OEF/OIF veterans. CONCLUSIONS: Efforts to maintain and/or increase OEF/OIF veteran participation in VA MH/SUD services should be informed by their characteristics, such as younger age and better physical health relative to other veterans.

Intervening with practitioners to improve the quality of prevention: one-year findings from a randomized trial of assets-getting to outcomes.

There continues to be a gap in prevention outcomes achieved in research trials versus those achieved in "real-world" practice. This article reports interim findings from a randomized controlled trial evaluating Assets-Getting To Outcomes (AGTO), a two-year intervention designed to build prevention practitioners' capacity to implement positive youth development-oriented practices in 12 community coalitions in Maine. A survey of coalition members was used to assess change on individual practitioners' prevention capacity between baseline and one year later. Structured interviews with 32 program directors (16 in the intervention group and 16 in the control group) were used to assess changes in programs' prevention practices during the same time period. Change in prevention capacity over time did not differ significantly between the intervention and control groups. However, in secondary analyses of only those assigned to the AGTO intervention, users showed greater improvement in their self-efficacy to conduct Assets-based programming and increases in the frequency with which they engaged in AGTO behaviors, whereas among non-users, self-efficacy to conduct Assets-based programming declined. Interview ratings showed improvement in several key areas of performance among intervention programs. Improvement was associated with the number of technical assistance hours received. These results suggest that, after one year, AGTO is beginning to improve the capacity of community practitioners who make use of it.

Establishing and evaluating the key functions of an interactive systems framework using an assets-getting to outcomes intervention.

Community practitioners can face difficulty in achieving outcomes demonstrated by prevention science. Building a community practitioner's prevention capacity-the knowledge and skills needed to conduct critical prevention practices-could improve the quality of prevention and its outcomes. The purpose of this article is to: (1) describe how an intervention called Assets-Getting To Outcomes (AGTO) was used to establish the key functions of the ISF and present early lessons learned from that intervention's first 6 months and (2) examine whether there is an empirical relationship between practitioner capacity at the individual level and the performance of prevention at the program level-a relationship predicted by the ISF but untested. The article describes an operationalization of the ISF in the context of a five-year randomized controlled efficacy trial that combines two complementary models designed to build capacity: Getting To Outcomes (GTO) and Developmental Assets. The trial compares programs and individual practitioners from six community-based coalitions using AGTO with programs and practitioners from six similar coalitions that are not. In this article, we primarily focus on what the ISF calls innovation specific capacity and discuss how the combined AGTO innovation structures and uses feedback about its capacity-building activities, which can serve as a model for implementing the ISF. Focus group discussions used to gather lessons learned from the first 6 months of the AGTO intervention suggest that while the ISF may have been conceptualized as three distinct systems, in practice they are less distinct. Findings from the baseline wave of data collection of individual capacity and program performance suggest that practitioner capacity predicts, in part, performance of prevention programs. Empirically linking practitioner capacity and performance of prevention provides empirical support for both the ISF and AGTO.

Causal inference under interference with prognostic scores for dynamic group therapy studies.

Group therapy is a common treatment modality for behavioral health conditions. Patients often enter and exit groups on an ongoing basis, leading to dynamic therapy groups. Examining the effect of high versus low session attendance on patient outcomes is a research question of interest. However, there are several challenges to identifying causal effects in this setting, including the lack of randomization, interference among patients, and the interrelatedness of patient participation. Dynamic therapy groups motivate a unique causal inference scenario, as the treatment statuses are completely defined by the patient attendance record for the therapy session, which is also the structure inducing interference. We adopt the Rubin causal model framework to define the causal effect of high versus low session attendance of group therapy at both the individual patient and peer levels. We propose a strategy to identify individual, peer, and total effects of high attendance versus low attendance on patient outcomes by the prognostic score stratification. We examine performance of our approach via simulation and apply it to data from a group cognitive behavioral therapy trial for treating depression among patients in a substance use disorders treatment setting.

Standardized assessment of medication reconciliation in post-acute care.

BACKGROUND: Medication reconciliation (MR) facilitates safety during transitions of care, which occur frequently across post-acute care (PAC) settings. Under the intent of the IMPACT Act of 2014, the Centers for Medicare & Medicaid Services contracted with the RAND Corporation to develop and test standardized assessment data elements (SADEs) that assess the MR process. METHODS: We employed an iterative process that incorporated stakeholder input and three rounds of testing to identify, refine, and evaluate MR SADEs. Testing took place in 186 PAC sites (57 home health agencies, 28 inpatient rehabilitation facilities, 28 long-term care hospitals, and 73 skilled nursing facilities). There were 2951 patients in the final test. Novel MR SADEs, based on the Joint Commission's framework, were refined. The final SADEs assessed whether: patient was taking high-risk medications; an indication was noted for each medication class; discrepancies were identified; patient or family/caregiver was involved in addressing discrepancies; discrepancies were communicated to physician (or designee) within 24 h; recommended physician actions regarding discrepancies were implemented within 24 h after physician response; and the reconciled list was communicated to patient, prescriber, and/or pharmacy. Two assessors per facility collected data for each patient. Analyses described completion time, data missingness, and interrater reliability, as well as feedback on assessor burden. RESULTS: Time to complete the MR SADEs was 3.2 min. Missing data were <5%. Interrater reliability was moderate to high (κ: 0.42 [whether a reconciled list was communicated to prescribers] to 0.89 [identifying patients taking hypoglycemics]). For identifying high-risk medication classes, interrater reliability was high (κ: 0.72-0.89). There were minimal differences by setting. CONCLUSIONS: This is the first set of MR SADEs that have been assessed across the PAC settings. Results demonstrate feasibility, based on missing data and completion time, and moderate to strong reliability, based on interrater comparisons, of assessing MR.

Who receives post-acute care? Characteristics of national population and field test sample.

BACKGROUND: Each year millions of Medicare beneficiaries in the United States receive post-acute care (PAC) in skilled nursing facilities (SNFs), inpatient rehabilitation facilities (IRFs), long-term care hospitals (LTCHs), and home health agencies (HHA). We describe, overall and by PAC setting, the national population of facilities and patients, evaluate the representativeness of a national field test sample, and describe patient characteristics in the national field test sample. METHODS: We analyzed the 2016 Provider of Service file, 2016 patient assessment data reported by PAC providers to Centers for Medicare & Medicaid, and data collected from PAC providers participating in a national field test. National data included 27,234 PAC settings and 5,033,820 beneficiaries receiving PAC. The national field test sample consisted of 143 facilities across 14 markets with 25-30 patients sampled from each facility (n = 3669). We describe PAC facility and patient characteristics for both the national and field test sample. RESULTS: Nationally, PAC facilities were more likely for-profit versus not for-profit, have an average nurse-to-bed ratio between 1:10 to 1:1 (lowest in SNFs) and be in metropolitan versus other areas. PAC patients were more likely to be white, female, and 75-89 years of age; heart failure as a primary medical condition tended to be more common than stroke or sepsis. There was limited variability across setting types. In the national field test, patients in LTCHs demonstrated a greater likelihood of cognitive impairment, positive depression screening, bowel and bladder appliance use, higher rates of medication drug classes taken, and use of therapeutic diets and IV medications. CONCLUSION: The national field test facility and patient samples were fairly representative of the national population overall and across settings with a few exceptions. Moreover, differences according to PAC setting on patient characteristics in the national field test aligned with general differences in patient populations.

Development and testing of a standardized pain interview assessment for use in post-acute care.

OBJECTIVES: Pain is highly prevalent among patients in post-acute care (PAC) settings and can affect quality of life, treatment outcomes, and transitions in care. Routine, accurate assessment of pain across settings is important for pain management and care planning; however, existing PAC assessment instruments do not assess patient pain in a standardized manner. METHODS: We developed and tested a set of pain interview data elements for use across PAC settings (skilled nursing facilities, inpatient rehabilitation facilities, long term care hospitals, home health agencies) as part of a larger effort undertaken by the Centers for Medicare & Medicaid Services to develop standardized assessment data elements to meet the requirements of the IMPACT Act of 2014. The interview assessed six pain constructs: presence; frequency; interference with sleep; interference with rehabilitation therapies [if applicable]; interference with daily activities; worst pain; and pain relief from treatments/medications). A total of 3031 PAC patients at 143 PAC settings (across 14 U.S. geographic/metropolitan areas in 10 states) participated in a national field test of standardized data elements from November 2017 to August 2018. We assessed item response distributions, time to complete interviews, inter-assessor agreement, and, for a subset of patients, change in responses between admission and discharge assessments. We also conducted focus groups with nurse assessors about their experiences administering the items. RESULTS: For patients reporting any pain, average time to complete the pain interview was 3.1 min (SD = 1.3), and interrater reliability was excellent for all data elements (kappa range: 0.95-0.99). Findings were similar across types of PAC settings. Qualitative data from nurses emphasized ease of administration and high perceived clinical utility. CONCLUSION: Findings provide support for feasibility of implementing a standardized pain interview assessment in PAC settings. This tool can support tracking of patient needs across settings and interoperability of data in electronic medical records.

Standardized assessment of cognitive function of post-acute care patients.

BACKGROUND: The assessment of cognitive function in post-acute care (PAC) settings is important for understanding an individual's condition and care needs, developing better person-directed care plans, predicting resource needs and understanding case mix. Therefore, we tested the feasibility and reliability of cognitive function assessments, including the Brief Interview for Mental Status (BIMS), Confusion Assessment Method (CAM©), Expression and Understanding, and Behavioral Signs and Symptoms for patients in PAC under the intent of the IMPACT Act of 2014. METHODS: We conducted a national test of assessments of four standardized cognitive function data elements among patients in PAC. One hundred and forty-three PAC settings (57 home health agencies, 28 inpatient rehabilitation facilities, 28 long-term care hospitals, and 73 Skilled Nursing Facilities) across 14 U.S. markets from November 2017 to August 2018. At least one of four cognitive function data elements were assessed in 3026 patients. We assessed descriptive statistics, percent of missing data, time to complete, and interrater reliability between paired research nurse and facility staff assessors, and assessor feedback. RESULTS: The BIMS, CAM©, Expression and Understanding, and Behavioral Signs and Symptoms demonstrated low rates of missing data (less than 2%), high percent agreement, and substantial support from assessors. The prevalence of Behavioral Signs and Symptoms was low in our sample of PAC settings. CONCLUSION: Findings provide support for feasibility of implementing standardized assessment of all our cognitive function data elements for patients in PAC settings. The BIMS and CAM© were adopted into federal Quality Reporting Programs in the fiscal year/calendar year 2020 final rules. Future work could consider implementing additional cognitive items that assess areas not covered by the BIMS and CAM©.

Standardized assessment of cognitive function, mood, and pain among patients who are unable to communicate.

BACKGROUND: Assessments of patients have sought to increase the patient voice through direct patient interviews and performance-based testing. However, some patients in post-acute care (PAC) are unable to communicate and cannot participate in interviews or structured cognitive tests. Therefore, we tested the feasibility and reliability of observational assessments of cognitive function, mood, and pain for patients who are unable to communicate in PAC settings. METHODS: We conducted a national test of observational assessments of cognitive function, mood, and pain in 143 PAC facilities (57 home health agencies, 28 Inpatient Rehabilitation Facilities, 28 Long-Term Care Hospitals, and 73 Skilled Nursing Facilities) across 14 U.S. markets from November 2017 to August 2018. For the 548 patients identified as unable to make themselves understood, we assessed descriptive statistics, percent of missing data, time to complete, and inter-rater reliability (IRR) between paired research nurse and facility staff assessors. RESULTS: Most sampled non-communicative patients were administered all three observational assessments. Among assessed patients, overall missing data was high for some items within the Staff Assessment for Mental Status (2.9% to 33.5%) and Staff Assessment of Patient Mood (12.4% to 44.3%), but not the Observational Assessment of Pain or Distress (0.0% to 4.4%). Average time to complete the data elements ranged from 2.4 to 3.5 min and IRR was good to excellent for all items (kappa range: 0.74-0.98). CONCLUSION: The three observational data elements had acceptable reliability. Although results revealed varying feasibility, there was support for feasibility overall in terms of implementing a standardized observational assessment of pain for patients in PAC settings. Additional work is needed for the Staff Assessment for Mental Status and the Staff Assessment of Patient Mood to improve the observable nature of these data elements and enhance instructions and training for standardizing the assessments.

Developing standardized patient assessment data elements for Medicare post-acute care assessments.

BACKGROUND: To support interoperability and care planning across provider types, the Improving Medicare Post-Acute Care Transformation Act of 2014 (IMPACT Act) requires the submission of standardized patient assessment data using the assessment instruments provided by the Centers for Medicare & Medicaid Services (CMS). CMS was tasked with developing standardized assessment data elements (SADEs) within clinical categories named in the IMPACT Act. METHOD: We used environmental scans, subject matter expert, and stakeholder input to identify candidate SADEs; tested candidate data elements in alpha testing; revised SADEs and training protocols based on alpha analyses and stakeholder feedback; tested SADEs across post-acute care (PAC) settings in a national field test that included 3121 patients across 143 home health agencies, inpatient rehabilitation facilities, long-term care hospitals, and skilled nursing facilities in 14 markets across the United States; and analyzed data and stakeholder input from national testing. Field testing measured the time required for assessment, percent completion, and inter-rater reliability. We analyzed qualitative feedback from stakeholder focus groups and technical expert panels. We also obtained survey and focus group feedback from data collectors. RESULTS: We developed a mixed-method, multi-stakeholder procedure to identify and gather input on SADE for cross-setting use. This process yielded feasible and reliable SADEs for PAC settings that assess pain, cognitive status, mood, and medication reconciliation. The success of this work depended on working iteratively with diverse stakeholders and providing qualitative as well as quantitative evidence. CONCLUSIONS: The procedures applied in this project for developing and adopting SADEs for PAC, as well as the challenges and strategies to overcome challenges, should be considered in future item and quality measure development.

Standardized assessment of depression symptoms in post-acute care: A screening threshold approach.

BACKGROUND: Depression symptoms have impacts on quality of life, rehabilitation and treatment adherence, and resource utilization among patients in post-acute care (PAC) settings. The PHQ-2 and PHQ-9 are instruments for the assessment of depression, previously used in PAC settings, that have tradeoffs in terms of measurement depth versus respondent/assessor burden. Therefore, the present study tested a gateway version of the protocol (PHQ-2 to 9). METHODS: In 143 PAC settings in 14 U.S. markets across 10 states from November 2017 to August 2018, facility and research nurses administered the PHQ-2 to communicative patients (n = 3010). Nurses administered the full PHQ-9 if the patient screened positive for either of the two cardinal symptoms assessed by the PHQ-2 (depressed mood and anhedonia). We assessed the prevalence and frequency of depression symptoms using the PHQ-2 to 9, associations between depression screening results and patient characteristics and clinical conditions, and feasibility indicators. RESULTS: More than 1 in 4 patients (28%) screened positive on the PHQ-2. Only 6% of those completing the full PHQ-9 had a score indicating "minimal" severity. The average score (M = 11.9) met the threshold for moderate depression. Positive PHQ-2 screening was associated with age, female gender, disposition at discharge, septicemia/severe sepsis, and dependence for ADLs of toileting and lying to sitting mobility. Age was also associated with full PHQ-9 scores; patients ages 45-64 had the highest mean score. Length of stay was not associated with PHQ-2 screening results or full PHQ-2 to 9 scores. Missing data were minimal (<2.4%). The average time to complete was 2.3 min. Interrater reliability and percent agreement were excellent. CONCLUSIONS: These findings suggest the feasibility of a gateway scoring approach to standardized assessment of depression symptoms among PAC patients, and that depression symptoms are relatively common among this inpatient population.