Publications

Abstract

Many older adults with diabetes (DM) have co-occurring Alzheimer’s Disease (AD) and AD-Related Dementias (ADRD). Complex treatment plans may impose treatment burden for caregivers responsible for day-to-day self-management. The purpose of this qualitative study was to describe caregiver perceptions of treatment burden for people with DM-AD/ADRD. Caregivers (n = 33) of patients with DM-AD/ADRD participated in semi-structured interviews about their caregiver role and perceptions of treatment burden of DM-AD/ADRD management. Qualitative data were analyzed using content analysis (ATLAS.ti). Caregivers reported high levels of burden related to complex treatment/self-management for patients with DM-AD/ADRD that varied day-to-day with the patient’s cognitive status. Four themes were: (1) trajectory of treatment burden; (2) navigating multiple healthcare providers/systems of care; (3) caregiver role conflict; and (4) emotional burden. Interventions to reduce caregiver treatment burden should include activating supportive services, education, and care coordination especially, if patient treatment increases in complexity over time.

Abstract

Importance: In the US, improving end-of-life care has become increasingly urgent. Some states have enacted legislation intended to facilitate palliative care delivery for seriously ill patients, but it is unknown whether these laws have any measurable consequences for patient outcomes. Objective: To determine whether US state palliative care legislation is associated with place of death from cancer. Design, Setting, and Participants: This cohort study with a difference-in-differences analysis used information about state legislation combined with death certificate data for 50 US states (from January 1, 2005, to December 31, 2017) for all decedents who had any type of cancer listed as the underlying cause of death. Data analysis for this study occurred between September 1, 2021, and August 31, 2022. Exposures: Presence of a nonprescriptive (relating to palliative and end-of-life care without prescribing particular clinician actions) or prescriptive (requiring clinicians to offer patients information about care options) palliative care law in the state-year where death occurred. Main Outcomes and Measures: Multilevel relative risk regression with state modeled as a random effect was used to estimate the likelihood of dying at home or hospice for decedents dying in state-years with a palliative care law compared with decedents dying in state-years without such laws. Results: This study included 7547907 individuals with cancer as the underlying cause of death. Their mean (SD) age was 71 (14) years, and 3609146 were women (47.8%). In terms of race and ethnicity, the majority of decedents were White (85.6%) and non-Hispanic (94.1%). During the study period, 553 state-years (85.1%) had no palliative care law, 60 state-years (9.2%) had a nonprescriptive palliative care law, and 37 state-years (5.7%) had a prescriptive palliative care law. A total of 3780918 individuals (50.1%) died at home or in hospice. Most decedents (70.8%) died in state-years without a palliative care law, while 15.7% died in state-years with a nonprescriptive law and 13.5% died in state-years with a prescriptive law. Compared with state-years without a palliative care law, the likelihood of dying at home or in hospice was 12% higher for decedents in state-years with a nonprescriptive palliative care law (relative risk, 1.12 [95% CI 1.08-1.16]) and 18% higher for decedents in state-years with a prescriptive palliative care law (relative risk, 1.18 [95% CI, 1.11-1.26]). Conclusions and Relevance: In this cohort study of decedents from cancer, state palliative care laws were associated with an increased likelihood of dying at home or in hospice. Passage of state palliative care legislation may be an effective policy intervention to increase the number of seriously ill patients who experience their death in such locations.

Abstract

Objectives: To investigate whether individuals’ poststroke activity engagement is associated with their perceptions of stroke, as well as their perceptions of physical and social environment. Design: Cross-sectional study. Setting: Participants were recruited from eight rehabilitation settings in Beijing, China. Participants: A total of 202 dyads of community dwellers with stroke and their primary caregivers. Main Measures: Activity engagement measured by the Assessment of Life Habits; stroke individuals’ and caregivers’ illness perceptions measured by the Stroke-Specific Illness Perceptions Questionnaire – Revised; and stroke individuals’ perceived social and physical environment measured by the Social Support Survey and abbreviated Neighborhood Environment Walkability Scale. Results: A total of 202 dyads of individuals with stroke and their caregivers participated in the study with mean ages of 61.3 (8.3) and 52.6 (11.6), respectively. On average, stroke individuals scored 7.61 (1.42) on the daily activities subscale, indicating that they completed personal level activities without assistance but with some difficulty. They scored 6.21 (2.21) on the social roles subscale, suggesting that individuals completed societal level activities with assistive devices and with some difficulty. Illness perceptions correlated significantly with personal level activity engagement (change in R-squared = 0.029; p = 0.049), and perceived accessibility and heterogeneity correlated significantly with societal level activity engagement (change in R-squared = 0.025; p = 0.011). Conclusions: Poststroke activity engagement is associated not only with stroke individuals’ performance skills but also with their perceptions of stroke, and how they perceive their physical environment. The findings may assist clinicians’ decision making when developing comprehensive, targeted interventions for improving activity engagement and maximizing recovery after stroke.

Abstract

Posttraumatic stress disorder (PTSD) can have profound physical, psychological, and social consequences. Recently, there has been an increase in research on how lifestyle factors, including exercise, nutrition, stress management (e.g., mindfulness), substance use, sleep, and social connectedness may impact psychological and physical health, as well as social outcomes, in those with PTSD. Although research in some of these areas is still limited, results indicate promise for lifestyle interventions in at least some aspects of PTSD treatment. This chapter will explore the evidence for the relevance of these factors with regard to PTSD and discuss any evidence-based lifestyle interventions indicated for PTSD prevention and management.

Abstract

Objective. This study aimed to examine the impact of COVID-19 on hospice Interdisciplinary team (IDT) members’ self-reported stress and identify possible sources of moral distress. Methods. A cross-sectional survey was conducted using Qualtrics to understand the impact of COVID-19 on quality improvement initiative implementation and hospice IDT members’ general and dementia-specific care provision. Directed qualitative content analysis was used to analyze hospice IDT members’ responses from five open-ended survey questions that were indicative of stress and possible moral distress. Results. The final sample consisted of 101 unique respondents and 175 comments analyzed. Three categories related to sources of moral distress based on hospice IDT member survey responses were identified: (1) impact of telehealth, personal protective equipment (PPE), and visit restrictions on relationships; (2) lack of COVID-19-specific skills; and (3) organizational climate. Sources of moral distress were categorized in 40% of all responses analyzed. Significance of results. This study is one of the first to document and confirm evidence of potential stress and moral distress amongst hospice IDT members during COVID-19. It is imperative given the possible negative impact on patient care and clinician well-being, that future research and interventions incorporate mechanisms to support clinicians’ emotional and ethical attunement and support organizations to actively engage in practices that address clinician moral distress resulting from restrictive environments, such as the one necessitated by COVID-19.

Abstract

Background: Type 2 diabetes (T2D) has an immense disease burden, affecting millions of people worldwide and costing billions of dollars in treatment. As T2D is a multifactorial disease with both genetic and nongenetic influences, accurate risk assessments for patients are difficult to perform. Machine learning has served as a useful tool in T2D risk prediction, as it can analyze and detect patterns in large and complex data sets like that of RNA sequencing. However, before machine learning can be implemented, feature selection is a necessary step to reduce the dimensionality in high-dimensional data and optimize modeling results. Different combinations of feature selection methods and machine learning models have been used in studies reporting disease predictions and classifications with high accuracy. Objective: The purpose of this study was to assess the use of feature selection and classification approaches that integrate different data types to predict weight loss for the prevention of T2D. Methods: The data of 56 participants (ie, demographic and clinical factors, dietary scores, step counts, and transcriptomics) were obtained from a previously completed randomized clinical trial adaptation of the Diabetes Prevention Program study. Feature selection methods were used to select for subsets of transcripts to be used in the selected classification approaches: support vector machine, logistic regression, decision trees, random forest, and extremely randomized decision trees (extra-trees). Data types were included in different classification approaches in an additive manner to assess model performance for the prediction of weight loss. Results: Average waist and hip circumference were found to be different between those who exhibited weight loss and those who did not exhibit weight loss (P=.02 and P=.04, respectively). The incorporation of dietary and step count data did not improve modeling performance compared to classifiers that included only demographic and clinical data. Optimal subsets of transcripts identified through feature selection yielded higher prediction accuracy than when all available transcripts were included. After comparison of different feature selection methods and classifiers, DESeq2 as a feature selection method and an extra-trees classifier with and without ensemble learning provided the most optimal results, as defined by differences in training and testing accuracy, cross-validated area under the curve, and other factors. We identified 5 genes in two or more of the feature selection subsets (ie, CDP-diacylglycerol-inositol 3-phosphatidyltransferase [CDIPT], mannose receptor C type 2 [MRC2], PAT1 homolog 2 [PATL2], regulatory factor X-associated ankyrin containing protein [RFXANK], and small ubiquitin like modifier 3 [SUMO3]). Conclusions: Our results suggest that the inclusion of transcriptomic data in classification approaches for prediction has the potential to improve weight loss prediction models. Identification of which individuals are likely to respond to interventions for weight loss may help to prevent incident T2D. Out of the 5 genes identified as optimal predictors, 3 (ie, CDIPT, MRC2, and SUMO3) have been previously shown to be associated with T2D or obesity.

Abstract

Background: Accurate prediction of risk for chronic diseases like type 2 diabetes (T2D) is challenging due to the complex underlying etiology. Integration of more complex data types from sensors and leveraging technologies for collection of -omics datasets may provide greater insights into the specific risk profile for complex diseases. Methods: We performed a literature review to identify feature selection methods and machine learning models for prediction of weight loss in a previously completed clinical trial (NCT02278939) of a behavioral intervention for weight loss in Filipinos at risk for T2D. Features included demographic and clinical characteristics, dietary factors, physical activity, and transcriptomics. Results: We identified four feature selection methods: Correlation-based Feature Subset Selection (CfsSubsetEval) with BestFirst, Kolmogorov–Smirnov (KS) test with correlation featureselection (CFS), DESeq2, and max-relevance-min-relevance (MRMR) with linear forward search and mutual information (MI) and four machine learning algorithms: support vector machine, decision tree, random forest, and extra trees that are applicable to prediction of weight loss using the specified feature types. Conclusion: More accurate prediction of risk for T2D and other complex conditions may be possible by leveraging complex data types from sensors and -omics datasets. Emerging methods for feature selection and machine learning algorithms make this type of modeling feasible.

Abstract

(1) Background: The COVID-19 pandemic has exacerbated incidents of burnout among academics in various fields and disciplines. Although burnout has been the subject of extensive research, few studies have focused on nursing faculty. This study aimed to investigate the differences in burnout scores among nursing faculty members in Canada. (2) Method: Using a descriptive cross-sectional design, data were collected via an online survey in summer 2021 using the Maslach Burnout Inventory general survey and analyzed using the Kruskal-Wallis test. (3) Result: Faculty members (n = 645) with full-time employment status, worked more than 45 h, and taught 3–4 courses reported high burnout (score ≥ 3) compared to those teaching 1–2 courses. Although education levels, tenure status or rank, being on a graduate committee, or the percentage of hours dedicated to research and services were considered important personal and contextual factors, they were not associated with burnout. (4) Conclusions: Findings suggest that burnout manifests differently among faculty and at varying degrees. As such, targeted approaches based on individual and workload characteristics should be employed to address burnout and build resilience among faculty to improve retention and sustain the workforce.

Abstract

Primary care physicians are well-positioned to integrate lifestyle interventions into the management of patients with unhealthy substance use, who may also have mental and physical chronic health comorbidities. However, the COVID-19 pandemic exacerbated the U.S.’s poor state of health, revealing that its current approach to chronic disease management is neither effective nor sustainable. Today’s full spectrum comprehensive care model requires an expanded toolkit. Lifestyle interventions broaden current treatment approaches and may enhance Addiction Medicine care. Primary care providers have the potential to have the greatest impact on unhealthy substance use care because they are experts in chronic disease management and their frontline accessibility minimizes healthcare barriers. Individuals with unhealthy substance use are at an increased risk of chronic physical conditions. Incorporating lifestyle interventions with unhealthy substance use care at every level of medicine, from medical school through practice, normalizes both as part of the standard care of medicine and will drive evidence-based best practices to support patients through prevention, treatment, and reversal of chronic diseases.

Abstract

Work ability, or the perception of one’s ability to work presently and in the future, may impact quality of life (QOL) among young adult (YA) cancer survivors. Through a convergent mixed methods design, we explored work ability, work-related goals, and QOL among YA hematologic cancer survivors within five years of diagnosis. We described associations at the individual- and microsystem (work)- levels; and compared factors across low and high work ability groups. Participants (N = 40) completed a survey and interview via digital platforms. Qualitative analysis revealed self-assessed declines in work ability led to questioning work-related goals and influenced QOL. Integrated analysis led to the development of four profiles, growing our understanding of work’s influence on QOL for YA cancer survivors, and identifying components YAs considered when contemplating work-related goals after a cancer diagnosis. Larger studies are needed to elucidate these profiles and identify modifiable factors to inform targeted interventions to improve QOL.

Abstract

The prevalence of behavioral health conditions among older adults continues to rise while the number of specialty providers remains low. Nurses caring for aging populations across care settings have opportunities to integrate behavioral healthcare into their practice with adults to promote wellness and avoid negative outcomes. Priority issues for integrated behavioral health among older adults include depression, substance use disorders, and neurocognitive conditions. Connections to professional organizations, timely continuing education, and integration of evidenced-based clinical protocols are vital for nurses to provide effective integrated care.

Abstract

Background: Half of all stroke survivors experience hemiparesis on the contralateral side, resulting in chronic upper extremity (UE) impairment. Remote rehabilitation is a promising approach to optimize the gains made in the clinic to maximize function and promote UE use at home. This paper describes the study protocol for a remote home-based UE self-training program. Design: This was a feasibility study that used a convergent mixed methods approach. Methods: We collected data on 15 community-dwelling individuals with UE hemiparesis after stroke. The study used motivational interviewing (MI) and ecological momentary assessments (EMA) to maximize engagement in a 4-week personalized UE self-training program. The study consisted of three phases: 1) training in MI for the interventionists 2) creating customized treatment plans using shared decision making, and 3) four weeks of UE self-training. Measures and analysis: To evaluate feasibility, we will summarize recruitment and retention rates, intervention delivery, acceptance, adherence, and safety. Quantitative UE outcomes will measure change in UE status after the intervention (Fugl-Meyer Assessment, Motor Activity Log, Canadian Occupational Performance Measure, and bilateral magnitude ratio). Qualitative data (1:1 semi-structured interviews) will capture participants’ perceptions and experience with the intervention. Quantitative and qualitative data will be integrated to gain a deeper understanding of the facilitators and barriers for engagement and adherence to UE self-training. Conclusion: The results of this study will advance the scientific knowledge for use of MI and EMA as methods for enhancing adherence and engagement in UE self-training in stroke rehabilitation. The ultimate impact of this research will be to improve UE recovery for individuals with stroke transitioning back into community. Clinical trials registration: NCT05032638.

Abstract

Patients with chronic obstructive pulmonary disease (COPD) experience a high risk for psychological distress. Understanding what factors contributing to this risk is vital for developing effective interventions to address COPD-related psychological distress. To examine psychological distress and its associated factors in COPD patients in China. This is a cross-sectional study. Using cluster random sampling, 351 COPD patients participated in and completed a questionnaire survey from June 2021 to January 2022. Instruments used in this research included a self-designed social-demographic questionnaire, the Kessler Psychological Distress Scale (K10), the COPD Knowledge Question, the Type D Personality Scale (DS-14), the COPD Assessment Test (CAT), and modified Medical Research Council Dyspnea Score (mMRC). Multivariate linear regressions were used in the final analysis. Among 351 COPD patients, 307 (or 87.5%) had psychological distress. Our univariate analysis indicated that psychological distress scores were significantly associated with monthly household income (F = 2.861, P < 0.05), exercise frequency (F = 4.039, P < 0.01), type D personality (t = 5.843, P < 0.01), years with COPD (rs = 0.156, P < 0.01), frequency of acute exacerbation (rs = 0.114, P < 0.05), mMRC score (rs = 0.301, P < 0.01), and CAT score (rs = 0.415, P < 0.01). Our final multivariate linear regression showed that exercise frequency (coefficient = −1.012, P < 0.01) was an independent protective factor of psychological distress in COPD patients, while type D personality (coefficient = 3.463, P < 0.001), mMRC score (coefficient = 1.034, P < 0.001) and CAT score were independent risk factors (coefficient =.288, P < 0.001). No relationship was observed between psychological distress and knowledge of COPD. Psychological distress is commonly presented among COPD patients in China. Findings from this study suggest promoting and increasing frequency of exercise will be beneficial in reducing psychological distress among COPD patients. This study also highlights the importance of assessing personality type, dyspnea, and impact of COPD on daily living for preventing and managing psychological distress due to COPD. In addition, Given the high rate of psychological distress among COPD patients, policymakers should consider making mental health resources easily available and accessible to this vulnerable population.

Abstract

The occurrence of HIV-related posttraumatic stress disorder (PTSD) compromises the physical and mental health of people living with HIV (PLWH). This study examined the psychological pathways of HIV-related PTSD symptoms considering the influence of rumination in PLWH of China. A cross-sectional survey was conducted in Changsha, China. The data were collected using the PTSD Checklist−Civilian Version, the Ruminative Response Scale, the Multidimensional Scale of Perceived Social Support, and measures of sociodemographic and HIV-related clinic characteristics. A total of 602 PLWH were surveyed. The average score of HIV-related PTSD symptoms was (34.54 ± 13.58). The mediation model showed that perceived social stigma and physical health exhibited direct associations with PTSD symptoms (β = 0.093, −0.145, respectively), while the direct relations of family support, friend support and significant others support to PTSD symptoms were not significant. Rumination mediated the effect of perceived social stigma (β = 0.077), physical health (β = −0.150), family support (β = −0.144) and friend support (β = −0.105) on PTSD symptoms. The study findings underscore the importance of routinely assessing PTSD for PLWH, and developing trauma-focused interventions that alleviate HIV-related PTSD symptoms and reduce rumination while improving social support and physical health and reducing social stigma.

Abstract

Background: In this updated Self-Care of Coronary Heart Disease Inventory (SC-CHDI) v3.0, items were added to better reflect the theory of self-care of chronic illness and revised based on recent research. The expanded SC-CHDI now reflects the theoretical concepts of self-care maintenance, monitoring, and management. Objective: The aim of this study was to evaluate the psychometric properties of the SC-CHDI v3.0. Methods: In a sample of adults with coronary heart disease, we tested the SC-CHDI v3.0 validity with confirmatory factor analysis. Reliability was calculated using Cronbach α, factor score determinacy coefficient, and global reliability index for multidimensional scales, with values > 0.70 considered adequate. Results: The sample (n = 205) was predominantly male (79%) with a mean age of 65.3 ± 11.1 years. The self-care maintenance scale encompassed 2 distinct behaviors, namely, “illness related behaviors” and “health promoting behaviors,” which reflect consulting and autonomous dimensions, respectively. The goodness-of-fit indices were adequate: χ2(25, N = 205) =31.86, P = .16, comparative fit index = 0.97, Tucker-Lewis Index = 0.95, root mean square error of approximation = 0.04 (90% confidence interval, 0.00–0.07), P = .705, and standardized root mean square residual = 0.045. Analysis of the new self-care monitoring scale yielded a single factor; goodness-of-fit indices were excellent: χ2(12, N = 205) =11.56, P = .48, comparative fit index = 1.00, Tucker-Lewis Index = 1.00, root mean square error of approximation < 0.001 (90% confidence interval, 0.000–0.07), P = .86, and standardized root mean square residual = 0.02. The self-care management scale had 2 dimensions of autonomous and consulting behavior with strong goodness-of-fit indices: χ2(7, N = 205) =6.57, P = .47, comparative fit index = 1.00, Tucker-Lewis Index = 1.00, root mean square error of approximation ≤ 0.001 (90% confidence interval, 0.00–0.08), P = .76, and standardized root mean square residual = 0.02. Reliability estimates were ≥0.80 for all scales. Conclusions: Our testing suggests that the SC-CHDI v3.0 is a sound measure of the essential elements of self-care for adults with coronary heart disease.

Abstract

Background: Understanding alcohol use among nurses may inform interventions related to the coping mechanisms nurses use for workplace stress and trauma. Alcohol use can be caused by a variety of factors and has serious implications on a nurse's personal health and professional practice. Understanding psychosocial factors and preventive measures may assist in the development of interventions to improve coping mechanisms and reduce the incidence of alcohol misuse. Purpose: To review the psychosocial factors and preventive measures associated with alcohol use among nurses. Methods: For this integrative review, systematic searches were conducted in CINAHL, PubMed, PsychNet, and ProQuest Central. Included studies were peer-reviewed and addressed alcohol use among nurses in the United States. Articles were appraised using methods-specific tools indicated by the Whittemore and Knafl framework. Data were extracted and themes identified using constant comparison. Results: Of 6,214 nonduplicate articles screened, 78 were selected for full-text review and 13 were included after application of inclusion criteria. Synthesis resulted in four themes: (1) occupational stress and trauma, (2) workplace characteristics, (3) mental health implications, and (4) protective factors. The data show that workplace stress and trauma contribute to alcohol use among nurses. Night shifts, rotating shifts, and shift length are factors related to alcohol use, as are mental health problems such as anxiety, depression, trauma, and suicide. Protective factors that reduce alcohol use among nurses include faith, resilience, and perceived organizational support. Conclusion: Alcohol use among nurses presents challenges for the nursing profession and regulatory bodies with specific and interrelated phenomena related to the role and identity of nurses. A better understanding of these factors through research will facilitate a healthier nursing workforce that is better prepared to take on the rewards and challenges of a nursing career.

Abstract

e18760Background: Rapidly expanding knowledge of molecular drivers of cancer helps facilitate effective, targeted cancer therapy (i.e. precision oncology), but research suggests that precision oncology is underused. We conducted a qualitative study of barriers and facilitators of precision oncology use within the Veterans Health Administration (VHA). Methods: We conducted a pragmatic qualitative study involving semi-structured interviews with both patients and providers at VA medical centers with low, medium, and high guideline concordant molecular testing. The interview guide was constructed by a multidisciplinary team of oncologists, qualitative health researchers and patient representatives using modified grounded theory (MGT) and the Theoretical Domains Framework (TDF). Summative and directed content analyses were conducted. Codes for the directed content analysis came from the framework and others evolved iteratively. Consensus-based approaches finalized the codebook. Results: Thirty-three interviews were conducted (17 patient and 16 provider interviews). A total of 1889 unique phrases were identified and categorized into 255 meaningful statement codes. The codes were mapped to 10 TDF domains. The most frequently cited determinants, representing 59% (1110 of 1889 statements) of all coded data, included the domains environmental context and resources, knowledge, and goals. Both patients and providers shared similar goals of improved outcomes and quality of care, but systems barriers were frequently cited impediments to precision oncology use. An additional 27% of codes (510 of 1889) represented the TDF domains of emotions (predominantly patient “fear of genetics” and confidence in providers), memory/attention (task priority in clinic visits), and interpersonal skills (both patient-provider, and interdisciplinary provider-provider). Additional frequently cited determinants, each comprising 6% of coded statements, included social influences (for both providers and patients) and reinforcement (perceived consequences). Conclusions: We identified determinants of precision oncology use at the patient, provider, and system level. Attempts to improve implementation of precision oncology will need to address systems barriers to care, as well as knowledge and patient-provider interactions, but can build on a foundation of shared goals.

Abstract

Background: Implementation of the Surviving Sepsis Campaign (SSC) guidelines into practice has demonstrated improved outcomes. Local Problem: Compliance with a sepsis protocol, based on the SSC guidelines, in an urban teaching hospital was below the national average. Methods: A pre- and posttest intervention design was used to improve clinician knowledge, confidence, and compliance with the protocol. Interventions: Educational modules were developed on the SSC guidelines and reminder system alerts (RSA) for timely revaluation of patients with sepsis and lactate monitoring were implemented. Results: A total of 33 (48%) clinicians participated. There was an increase in knowledge, documentation of sepsis reassessment, and serum lactate monitoring. There was an improvement in clinician perceptions following the initiative. Conclusions: The results demonstrate that education, combined with RSAs, can improve protocol knowledge and compliance.

Abstract

While home health agencies (HHAs) can seek accreditation to recognize their quality of service, it is unknown whether agencies with accreditation perform better in providing care than those without accreditation. Using 5-year data from national data sources, the aims of this study were: 1) to depict characteristics of HHAs with and without accreditation; and 2) to examine the relationship between accreditation status and HHA performance on quality-of-care metrics. This study analyzed 7,697 agencies in the US and found that 1) agencies that were for-profit, urban, not-hospital-affiliated, single-branch, Medicare enrolled only, and without hospice program were more likely to have accreditation; and 2) overall, accredited agencies performed better on the three commonly used quality indicators, timely initiation of care, hospitalization, and emergency department visit, though not all the observed differences were substantial in absolute value. Our results provide unique empirical information to agencies considering seeking accreditation.