Assessing the productivity of PAs and NPs.

ABSTRACT: The improvement of healthcare efficiency and productivity is of international interest. Following an expansion phase of physician associate/assistant (PA) and NPs employment, the Department of Veterans Affairs (VA) assessed how and where they were being used. Using data from 134 VA medical centers, annual productivity was examined across 30 medical and surgical specialties spanning primary care, mental health, and surgery. PA productivity differences averaged 82 relative value units per full-time employee per year more than NPs, a difference of 4%. In general, PAs were found in higher productivity ranges than NP counterparts. PAs and NPs have statistically similar productivity levels in primary care and mental health. In specialty medicine and surgery, PAs average higher annual productivity than NPs. This analysis provides some utility for managers regarding workforce composition, given the relative productivity of two types of clinicians.

The Effect of Telehealth Services on Provider Productivity.

BACKGROUND: Telehealth services historically have played a small role in the provision of health care in the United States. However during the coronavirus disease 2019 (COVID-19) pandemic, public and private insurers rapidly expanded access to telehealth in order to reduce exposure and avoid transmission. It is unknown whether telehealth will become a more regular substitute for in-person care beyond the pandemic. OBJECTIVE: Our objective was to provide evidence on the value of telehealth by comparing the productivity of physicians and other specialized clinicians who provide telehealth with the productivity of those who do not. RESEARCH DESIGN: We conducted a retrospective data analysis of 17,705 unique providers in the areas of internal medicine, cardiology, dermatology, psychiatry, psychology, and optometry practicing in the US veterans affairs health care system during the period 2015 to 2018. For each year, we measured individual providers productivity by the total number of relative value units (RVUs) per full-time equivalent (FTE). We estimated the impact of providing telehealth on RVUs/FTE using fixed effects regression models estimated on a panel dataset of 58,873 provider-year observations and controlling for provider and patient characteristics. RESULTS: Overall provider productivity increased in veterans affairs over the period, particularly in cardiology and dermatology. Providers of telehealth had above average productivity by 124 RVUs/FTE, or ∼4% of average total provider productivity. For the highest quartile of telehealth providers, average productivity was 188 RVUs/FTE higher than productivity of other providers. CONCLUSION: Strategies that encourage long-term integration of telehealth into provider practices may contribute to overall health care value.

Relational Climate and Health Care Costs: Evidence From Diabetes Care.

Quality of care worries and rising costs have resulted in a widespread interest in enhancing the efficiency of health care delivery. One area of increasing interest is in promoting teamwork as a way of coordinating efforts to reduce costs and improve quality, and identifying the characteristics of the work environment that support teamwork. Relational climate is a measure of the work environment that captures shared employee perceptions of teamwork, conflict resolution, and diversity acceptance. Previous research has found a positive association between relational climate and quality of care, yet its relationship with costs remains unexplored. We examined the influence of primary care relational climate on health care costs incurred by diabetic patients at the U.S. Department of Veterans Affairs between 2008 and 2012. We found that better relational climate is significantly related to lower costs. Clinics with the strongest relational climate saved $334 in outpatient costs per patient compared with facilities with the weakest score in 2010. The total outpatient cost saving if all clinics achieved the top 5% relational climate score was $20 million. Relational climate may contribute to lower costs by enhancing diabetic treatment work processes, especially in outpatient settings.

Alpha tocopherol transfer protein (αTTP) is expressed in endometrial carcinoma and is correlated with FIGO stage and 5-year survival.

BACKGROUND: Increased oxidative stress plays an important role in cancer development. Vitamin E is considered a potent anti-oxidant and its transfer protein αTTP facilitates its cellular delivery. We hypothesize that αTTP could be present in and have an impact on endometrial cancer. MATERIALS AND METHODS: Ishikawa endometrial cancer cells were treated with BSO and AAPH to mimick oxidative stress conditions. αTTP was detected by immunocytochemistry and western blot. αΤΤP expression was then assessed in 191 endometrioid endometrial carcinomas. Immunopositivity was correlated with grade, FIGO stage, and 5-year survival. Immuno-reactivity was assessed with a semi-quantitative score. RESULTS: AAPH- and BSO-induced αTTP expression in Ishikawa cells. Immunohistochemical assessment of the 191 endometrial cancer cases showed that αTTP expression correlated with FIGO stage (p = 0.014) but not with grade. Five-year survival was significantly better in cases of lower αTTP expression compared to cases with higher expression (p = 0.041). CONCLUSIONS: The current results show that αTTP plays a role in endometrial carcinoma. Possibly endometrial cancer cells attempt to protect themselves from increasing oxidative stress by up-regulating αTTP. Selective molecular interventions targeting oxidative stress escape strategies, e.g., by overexpression of αTTP, could, therefore, allow oxidative stress to damage cancer cell membranes and thus restrict cancer progression.

Risk Adjustment Tools for Learning Health Systems: A Comparison of DxCG and CMS-HCC V21.

OBJECTIVE: To compare risk scores computed by DxCG (Verisk) and Centers for Medicare and Medicaid Services (CMS) V21. RESEARCH DESIGN: Analysis of administrative data from the Department of Veterans Affairs (VA) for fiscal years 2010 and 2011. STUDY DESIGN: We regressed total annual VA costs on predicted risk scores. Model fit was judged by R-squared, root mean squared error, mean absolute error, and Hosmer-Lemeshow goodness-of-fit tests. Recalibrated models were tested using split samples with pharmacy data. DATA COLLECTION: We created six analytical files: a random sample (n = 2 million), high cost users (n = 261,487), users over age 75 (n = 644,524), mental health and substance use users (n = 830,832), multimorbid users (n = 817,951), and low-risk users (n = 78,032). PRINCIPAL FINDINGS: The DxCG Medicaid with pharmacy risk score yielded substantial gains in fit over the V21 model. Recalibrating the V21 model using VA pharmacy data-generated risk scores with similar fit statistics to the DxCG risk scores. CONCLUSIONS: Although the CMS V21 and DxCG prospective risk scores were similar, the DxCG model with pharmacy data offered improved fit over V21. However, health care systems, such as the VA, can recalibrate the V21 model with additional variables to develop a tailored risk score that compares favorably to the DxCG models.

The cost of hospital readmissions: evidence from the VA.

This paper is an examination of hospital 30-day readmission costs using data from 119 acute care hospitals operated by the U.S. Veterans Administration (VA) in fiscal year 2011. We applied a two-part model that linked readmission probability to readmission cost to obtain patient level estimates of expected readmission cost for VA patients overall, and for patients discharged for three prevalent conditions with relatively high readmission rates. Our focus was on the variable component of direct patient cost. Overall, managers could expect to save $2140 for the average 30-day readmission avoided. For heart attack, heart failure, and pneumonia patients, expected readmission cost estimates were $3432, $2488 and $2278. Patient risk of illness was the dominant driver of readmission cost in all cases. The VA experience has implications for private sector hospitals that treat a high proportion of chronically ill and/or low income patients, or that are contemplating adopting bundled payment mechanisms.

Hysteroscopy in women with abnormal uterine bleeding: a meta-analysis on four major endometrial pathologies.

PURPOSE: To determine the accuracy of hysteroscopy in diagnosing endometrial cancer, hyperplasia, polyps and submucous myomas. METHODS: Relevant articles were retrieved from the MEDLINE and the Cochrane Library (1986-2011). Studies were selected blindly. Results for diagnostic accuracy were extracted to form separate 2 × 2 tables (for endometrial cancer, hyperplasia, polyps and submucous myomas). A summary sensitivity and specificity point reflected the average accuracy observed. Summary ROCs (SROCs) were also calculated according to the HSROC model. RESULTS: For endometrial cancer, the estimated sensitivity was 82.6% (95% CR 66.9-91.8%) and the specificity was 99.7% (95% CR 98.1-99.9%). For endometrial hyperplasia, sensitivity was 75.2% (95% CR 55.4-88.1 %), while specificity was 91.5% (95% CR 85.7-95.0%). For endometrial polyps, sensitivity was 95.4% (95% CR 87.4-98.4%) and specificity was 96.4% (95% CR 93.7-98.0%). Finally, for submucous myomas, sensitivity was estimated to 97.0% (95% CR 89.8-99.2%) and specificity to 98.9% (95% CR 93.3-99.8%). CONCLUSIONS: Diagnostic accuracy for hysteroscopy is high for endometrial cancer, polyps and submucous myomas, but only moderate for endometrial hyperplasia.

Hypoxia-induced factor-1α in endometrial carcinoma: a mini-review of current evidence.

Despite the well-established role of hypoxia in cancer biology, the literature on its effects on endometrial cancer is scarce; it mainly refers to experimental settings rather than patient-derived results. Herein, an overview of the hypoxia inducible factor 1α (HIF-1α) biology, focusing on endometrial cancer, is presented. The molecular mechanisms possibly involved in endometrial cancer progression are presented, followed by a systematic approach to the current literature on immunohistochemistry evaluation of HIF-1α expression in endometrial carcinoma. Since no consensus has been made regarding HIF-1α evaluation, the evidence of possible involvement of HIF-1α in endometrial carcinoma prognosis is weak. After a consensus has been made, properly powered studies may be able to clarify whether HIF-1α can act as a prognosticator in endometrial carcinoma.

Dynamics of the mental health workforce: investigating the composition of physicians and other health providers.

We evaluate how changes to mental health workforce levels, composition, and degree of labor substitution, may impact typical practice output. Using a generalized Leontief production function and data from 134 U.S. Department of Veterans Affairs (VA) mental health practices, we estimate the q-complementarity/q-substitutability of mental health workers. We look at the entire spectrum of mental health services rather than just outpatient or physician office services. We also examine more labor types, including residents, than previous studies. The marginal patient care output contribution is estimated for each labor type as well as the degree to which physicians and other mental health workers may be substitutes or complements. Results indicate that numerous channels exist through which input substitution can improve productivity. Seven of eight labor and capital inputs have positive estimated marginal products. Most factor inputs exhibit diminishing marginal productivity. Of 28 unique labor-capital pairs, 17 are q-complements and 11 are q-substitutes. Complementarity among several labor types provides evidence of a team approach to mental health service provision. Our approach may serve to better inform healthcare providers regarding more productive mental health workforce composition both in and outside of VA.

Determining population based mortality risk in the Department of Veterans Affairs.

We develop a patient level hierarchical regression model using administrative claims data to assess mortality outcomes for a national VA population. This model, which complements more traditional process driven performance measures, includes demographic variables and disease specific measures of risk classified by Diagnostic Cost Groups (DCGs). Results indicate some ability to discriminate survivors and non-survivors with an area under the Receiver Operating Characteristic Curve (C-statistic) of .86. Observed to expected mortality ranges from .86 to 1.12 across predicted mortality deciles while Risk Standardized Mortality Rates (RSMRs) range from .76 to 1.29 across 145 VA hospitals. Further research is necessary to understand mortality variation which persists even after adjusting for case mix differences. Future work is also necessary to examine the role of personal behaviors on patient outcomes and the potential impact on population survival rates from changes in treatment policy and infrastructure investment.

Excess costs attributable to postoperative complications.

This article estimates excess costs associated with postoperative complications among inpatients treated in Veterans Health Administration (VA) hospitals. The authors conducted an observational study on 43,822 hospitalizations involving inpatient surgery in one of 104 VA hospitals during fiscal year 2007. Hospitalization-level cost regression analyses were performed to estimate the excess cost of each of 18 unique postoperative complications. The authors used generalized linear modeling techniques to account for the heavily skewed cost distribution. Costs were measured using an activity-based cost accounting system and complications were assessed based on medical chart review conducted by the VA 'National Surgical Quality Improvement Program. The authors found excess costs associated with postoperative complications ranging from $8,338 for "superficial surgical site infection" to $29,595 for "failure to wean within 24 hours in the presence of respiratory complications." The results obtained suggest that quality improvement efforts aimed at reducing postoperative complications can contribute significantly to lowering of hospital costs.

The effect of physician panel size on health care outcomes.

An inadequate supply of primary care providers is leading to a crisis in access. Pressures are being placed on primary care practices to increase panel sizes. The impact of these pressures on clinical processes, patient satisfaction and waiting times is largely unknown, although evidence from recent literature shows that longer waiting time results in higher mortality rates and other adverse outcomes. FY2004, Department of Veterans Affairs primary care patient data are used. GLIMMIX and other generalized linear model models illustrate how expanded panel sizes are correlated with clinical process indicators, patient satisfaction and waiting times, controlling for practice, provider and patient characteristics. We generally find that larger panel sizes are related to statistically significant increases in waiting time. However, larger panel sizes appear to have generally small effects on patient process indicators and satisfaction. Panels with more support staff have lower waiting times and small, improved outcomes. We find panels with older and clinically riskier patients have, on average, slightly lower waiting times and increased likelihoods of positive outcomes than panels with younger, healthier veterans. Female veterans appear to have reduced likelihoods of positive outcomes. Higher priority and female veterans also have lower satisfaction. Further study is needed to analyse the impact of potential panel size endogeneity in this system.

Controlling for quality in the hospital cost function.

This paper explores the relationship between the cost and quality of hospital care from the perspective of applied microeconomics. It addresses both theoretical and practical complexities entailed in incorporating hospital quality into the estimation of hospital cost functions. That literature is extended with an empirical analysis that examines the use of 15 Patient Safety Indicators (PSIs) as measures of hospital quality. A total operating cost function is estimated on 2,848 observations from five states drawn from the period 2001 to 2007. In general, findings indicate that the PSIs are successful in capturing variation in hospital cost due to adverse patient safety events. Measures that rely on the aggregate number of adverse events summed over PSIs are found to be superior to risk-adjusted rates for individual PSIs. The marginal cost of an adverse event is estimated to be $22,413. The results contribute to a growing business case for inpatient safety in hospital services.

Measuring the cost of hospital adverse patient safety events.

This paper estimates the excess cost of hospital inpatient care due to adverse safety events in the U.S. Department of Veterans Affairs (VA) hospitals during fiscal year 2007. We measured adverse events according to the Patient Safety Indicator (PSI) algorithms of the Agency for Healthcare Research and Quality. Patient level cost regression analyses were performed using generalized linear modeling techniques. Accounting for the heavily skewed distribution of costs among patients having adverse safety events, results suggested that the excess cost of nine different PSIs for VA patients are much higher than previously estimated. We tested sensitivity of results to whether costs were measured by VA's Decision Support System (DSS) that uses local costs of specific inputs, or by the average costing system developed by VA's Health Economics Resource Center. DSS costing appeared to better characterize the high cost patients.

Non-invasive first-trimester detection of paternal beta-globin gene mutations and polymorphisms as predictors of thalassemia risk at chorionic villous sampling.

OBJECTIVE: The objective was to evaluate the beta-globin gene mutations and polymorphisms in cell-free fetal DNA in the early first trimester (7-9th weeks' gestation) for the prediction of thalassemia risk at chorionic villous sampling (CVS). STUDY DESIGN: Beta-globin gene mutations and polymorphisms were analyzed in 97 carrier families and 100 control couples. Using conventional PCR-DGGE we carried out cell-free fetal DNA analysis in 37 couples in whom only the father was an IVSI-110 carrier. RESULTS: Beta-globin gene mutations have 80% information content in contrast to 39% of polymorphisms. By non-invasive early first-trimester identification of the paternally transmitted IVSI-110 mutation, we reached a sensitivity and specificity of 96 and 100%, respectively. Although the detection rate of the Y chromosome in male fetuses was as high as 100%, beta-thalassemia allele drop-out cannot be excluded. CONCLUSIONS: Even though there is high sensitivity in non-invasive paternally transmitted beta-thalassemia mutation detection, intense effort must be made to avoid misdiagnoses before the clinical application of this approach.