Movement Disorder Specialists Survey Regarding Use of Telemedicine During the COVID-19 Pandemic.

Aim: To assess the overall satisfaction level of movement disorder specialists using a virtual platform during the COVID-19 pandemic. Methods: This was a multicenter cross-sectional survey for a 6-month period during the beginning of the COVID-19 pandemic. Movement disorder specialists, who utilized telehealth visits from March 2020 to August 2020, were included. The study surveys, including provider's satisfaction with the care that they were able to provide and visit quality, were completed by the provider after each visit. Results: A total of 206 visits, provided by movement disorder specialists, were analyzed. Zoom was the most popular platform used for remote visits (70, 34%). A backup platform was not needed in the majority of movement disorder visits (171, 83%). The majority of physicians were very satisfied or satisfied with the care provided (72.9%) and visit quality (61%). Conclusions: The satisfaction level of specialists using telemedicine during COVID-19 was high despite having encounters with elderly patients with cognitive impairment or lacking advanced skills with technology.

Combination targeting of subthalamic nucleus and ventral intermediate thalamic nucleus with a single trajectory in deep brain stimulation for tremor-dominant Parkinson's disease.

Deep brain stimulation (DBS) has traditionally been used to target the subthalamic nucleus (STN) or globus pallidus internus (GPi) to treat Parkinson's disease (PD) and the ventral intermediate thalamic nucleus (VIM) to treat essential tremor (ET). Recent case reports have described targeting both the STN and VIM with a single trajectory and electrode to treat patients with tremor-dominant PD, yet outcome data for this procedure remains sparse. Our objective is to determine the safety and efficacy of combination STN-VIM DBS. We conducted a single-center retrospective case series of all patients who underwent combined STN-VIM DBS. Demographic, perioperative, and outcome data, including Unified Parkinson Disease Rating Scale-III (UPDRS) and tremor scores (OFF-medication), and levodopa equivalent daily dose (LEDD), were collected and analyzed. Nineteen patients underwent this procedure. Patients were 89% male and 11% female, with a mean age of 63.6 years. Mean preoperative UPDRS was 24.1, and LEDD was 811.8. At a mean follow-up of 33.8 months, UPDRS and LEDD decreased by an average of 9.2 (38.2%) and 326.3 (40.2%), respectively. Tremor scores decreased by 4.9 (59.0%), and 58% were able to decrease total medication burden. One patient developed transient left-sided weakness, yielding a complication rate of 5.3%. Combined targeting of STN and VIM thalamus via a single frontal trajectory for tremor-dominant Parkinson's Disease results in similar UPDRS outcomes to STN DBS and improved control of tremor symptoms. Larger multicenter studies are necessary to validate this as the optimal DBS target for tremor-dominant PD.

Leapfrog Hospital Safety Score, Magnet Designation, and Healthcare-Associated Infections in United States Hospitals.

OBJECTIVE: Healthcare-associated infections (HAIs) pose a challenge to patient safety. Although studies have explored individual level, few have focused on organizational factors such as a hospital's safety infrastructure (indicated by Leapfrog Hospital Safety Score) or workplace quality (Magnet recognition). The aim of the study was to determine whether Magnet and hospitals with better Leapfrog Hospital Safety Scores have fewer HAIs. METHODS: Ordered probit regression analyses tested associations between Safety Score, Magnet status, and standardized infection ratios, depicting whether a hospital had a Clostridium difficile infection (CDI) and methicillin-resistant Staphylococcus aureus (MRSA) bloodstream infection standardized infection ratio that was "better," "no different," or "worse" than a National Benchmark as per Centers for Disease Control and Prevention's National Healthcare Safety Network definitions. RESULTS: Accounting for confounders, relative to "A" hospitals, "B" and "C" hospitals had significant and negative relationships with CDI (-0.16, P < 0.01, and -0.14, P < 0.05, respectively) but not MRSA bacteremia. Magnet hospitals had a significant and positive relationship with MRSA bloodstream infections (0.74, P < 0.001) but a significant negative relationship with CDI (-0.21, P < 0.01) compared with non-Magnet. CONCLUSIONS: A hospitals performed better on CDI but not MRSA bloodstream infections. In contrast, Magnet designation was associated with fewer than expected MRSA infections but more than expected CDIs. These mixed results indicate that hospital global assessments of safety and workplace quality differentially and imperfectly predict its level of HAIs, suggesting the need for more precise organizational measures of safety and more nuanced approaches to infection prevention and reduction.

CO2 utilization: Turning greenhouse gas into fuels and valuable products.

This study critically reviews the recent developments and future opportunities pertinent to the conversion of CO2 as a potent greenhouse gas (GHG) to fuels and valuable products. CO2 emissions have reached an alarming level of around 410 ppm and have become the primary driver of global warming and climate change leading to devastating events such as droughts, hurricanes, torrential rains, floods, tornados and wildfires across the world. These events are responsible for thousands of deaths and have adversely affected the economic development of many countries, loss of billions of dollars, across the globe. One of the promising choices to tackle this issue is carbon sequestration by pre- and post-combustion processes and oxyfuel combustion. The captured CO2 can be converted into fuels and valuable products, including methanol, dimethyl ether (DME), and methane (CH4). The efficient use of the sequestered CO2 for the desalinization might be critical in overcoming water scarcity and energy issues in developing countries. Using the sequestered CO2 to produce algae in combination with wastewater, and producing biofuels is among the promising strategies. Many methods, like direct combustion, fermentation, transesterification, pyrolysis, anaerobic digestion (AD), and gasification, can be used for the conversion of algae into biofuel. Direct air capturing (DAC) is another productive technique for absorbing CO2 from the atmosphere and converting it into various useful energy resources like CH4. These methods can effectively tackle the issues of climate change, water security, and energy crises. However, future research is required to make these conversion methods cost-effective and commercially applicable.

Improving the performance of surgery-based clinical pathways: a simulation-optimization approach.

This paper aims to improve the performance of clinical processes using clinical pathways (CPs). The specific goal of this research is to develop a decision support tool, based on a simulation-optimization approach, which identify the proper adjustment and alignment of resources to achieve better performance for both the patients and the health-care facility. When multiple perspectives are present in a decision problem, critical issues arise and often require the balancing of goals. In our approach, meeting patients' clinical needs in a timely manner, and to avoid worsening of clinical conditions, we assess the level of appropriate resources. The simulation-optimization model seeks and evaluates alternative resource configurations aimed at balancing the two main objectives-meeting patient needs and optimal utilization of beds and operating rooms.Using primary data collected at a Department of Surgery of a public hospital located in Genoa, Italy. The simulation-optimization modelling approach in this study has been applied to evaluate the thyroid surgical treatment together with the other surgery-based CPs. The low rate of bed utilization and the long elective waiting lists of the specialty under study indicates that the wards were oversized while the operating room capacity was the bottleneck of the system. The model enables hospital managers determine which objective has to be given priority, as well as the corresponding opportunity costs.

The Efficiency of Ophthalmic Ambulatory Surgery Centers.

Ambulatory surgery centers (ASCs) are important providers of ambulatory surgeries. However, little research exists examining the efficiency of ASCs in providing ambulatory surgical services. This study examined the technical efficiency of ASCs that concentrated on performing cataract surgeries, which are among the surgeries most commonly performed in the outpatient setting. This study, based on data from all active ASCs that provided the two most common cataract surgeries in California, found that a large proportion of ophthalmic ASCs were operating at low technical efficiency levels. The amount of slacks in input and output variables was estimated for each ASC, and the mean slacks were reported. The numbers of cataract surgery patients and operating rooms were found to significantly affect the efficiency of ophthalmic ASCs.

Estimation of human heat loss in five Mediterranean regions.

This study investigates the effects of seasonal weather differences on the human body's heat losses in the Mediterranean region of Turkey. The provinces of Adana, Antakya, Osmaniye, Mersin and Antalya were chosen for the research, and monthly atmospheric temperatures, relative humidity, wind speed and atmospheric pressure data from 2007 were used. In all these provinces, radiative, convective and evaporative heat losses from the human body based on skin surface and respiration were analyzed from meteorological data by using the heat balance equation. According to the results, the rate of radiative, convective and evaporative heat losses from the human body varies considerably from season to season. In all the provinces, 90% of heat loss was caused by heat transfer from the skin, with the remaining 10% taking place through respiration. Furthermore, radiative and convective heat loss through the skin reached the highest values in the winter months at approximately between 110 and 140W/m(2), with the lowest values coming in the summer months at roughly 30-50W/m(2).

An examination of competition and efficiency for hospital industry in Turkey.

The two particular reforms that have been undertaken under the Health Transformation Program in Turkey are enhancing efficiency and increasing competition. However, there is a lack of information about the relationship between competition and hospital efficiency. The purpose of this paper is to analyze the effect of competition on technical efficiency for the hospital industry in Turkey. The target population included all public and private general hospitals that were open in 2010 in Turkey (n = 1,224). From these, 1,103 hospitals met the selection criteria and were included in the study. Data were obtained from the Turkish Statistical Institute, the Ministry of Health, and through a field survey. Technical efficiency of hospitals was estimated using Data Envelopment Analysis with five outputs and five inputs. The intensity of competition among hospitals was measured by objective and subjective measures. Objective competition was measured using the Hirschman-Herfindahl Index, and subjective competition was measured based on the perceptions of top level hospital managers. Multivariate Tobit regression was used to investigate the relationship between competition and efficiency while controlling the effects of demand and supply characteristics of the market and the hospital traits. Efficiency results showed that 17% of hospitals were technically efficient. Regression analyses portrayed that the degree of competition among general hospitals did not have a statistically significant relationship with hospitals' technical efficiency. To conclude, hospital efficiency in Turkey does not seem to be affected by the intensity of competition among hospitals.

Medical training for communication of bad news: A literature review.

In recent years, medical guidelines for communicating bad news to patients have been published. Training for this task was included in the curricula of undergraduate medical courses, specialization, and continuing medical education. The objective of this review is to evaluate the existing evidence in the literature on the effectiveness of such training. Only seven controlled trials were found, four of which were randomized, and these four indicate an improvement in the trainees. These findings suggest that training undergraduate and postgraduate doctors in skills for communicating bad news may be beneficial but there are important limitations to reach a definitive conclusion. These limitations are discussed in this article.

Effect of dentin desensitizing procedures on methyl methacrylate diffusion through dentin.

BACKGROUND: Acrylic and bisacryl resins are widely used both during the temporization phase as well as for provisional restorations and the effect of external agents on dentin sensitivity can be reduced by the obliteration of the tubules. OBJECTIVE: The purpose of this study was to evaluate diffusion of methyl methacrylate monomer through dentin by high performance liquid chromatography (HPLC) after three different desensitizing procedures during the fabrication of two different provisional crown materials. MATERIALS AND METHODS: Forty extracted restoration and caries free human premolar teeth were used in this study. Thermoplastic vacuum formed material was used as a matrix to fabricate provisional restorations for each tooth before crown preparation. Teeth were prepared for a metal supported ceramic crown with 1 mm shoulder margins and then crown parts were separated from cementoenamel junction with a carborundum disk perpendicular to the long axis of the teeth. To the cementoenamel junction of each tooth a polypropylene chamber was attached that contains 1.5 cm 3 of deionized distilled water. Prepared teeth were divided into four groups ( n = 10) including control, desensitizing agent (DA) application, neodymium-doped yttrium aluminum garnet (Nd: YAG) laser irradiation (LI), and LI after DA application groups. After application of DA (except control) each group were divided into two subgroups for fabrication of provisional restorations ( n = 5). Two autopolymerizing provisional materials (Imident (Imicryl) and Systemp C and B (Ivoclar, vivadent)) were used to fabricate provisional restorations using the strips. Water elutes were analyzed by HPLC at 10 min and 24 h. RESULTS: The monomer diffusion values varied statistically according to desensitizing procedures, provisional resin systems, and the time periods. Monomer diffusion through dentin surfaces desensitized with Nd: YAG LI after DA application was the lowest. CONCLUSIONS: Nd: YAG LI in association with DA application is an effective combination to eliminate monomer diffusion through dentin to pulpal chamber.

Use of data envelopment analysis to quantify opportunities for antibacterial targets for reduction of health care-associated Clostridium difficile infection.

Clostridium difficile infection (CDI) is an important health care-associated infection that leads to increased morbidity and mortality. Antibacterial medications used in hospitals serve as targets for antibacterial stewardship programs to reduce C difficile. The objective was to create a benchmark strategy targeting high-risk antibacterials for C difficile. This was a retrospective cross-sectional study using claims data from 58 hospitals. The Data Envelopment Analysis Technique was used to identify best-practice hospitals in terms of less use of 5 classes of antibacterials and fewer CDIs. Of 58 hospitals, 17 (29%) were identified as best-practice hospitals. Antibacterial classes requiring the greatest percentage reduction in use in non-best-practice hospitals versus best-practice hospitals were clindamycin (31%), ß-lactam/ß-lactamase combinations (30%), and carbapenems (29%). This study suggests that there are areas of improvement in high-risk antibacterial use that could lead to decreased CDIs.

Benchmarking urban acute care hospitals: efficiency and quality perspectives.

BACKGROUND: Over the last couple of decades, hospitals in the United States are facing pressures to maximize performance in terms of production efficiency and quality. An increasing emphasis on value-based purchasing on the part of third-party payers as well as the prevalence of pay for performance initiatives create an imperative for more accurate assessments of health care provider performance. PURPOSES: The objectives of this study were to measure hospital performance in terms of both technical efficiency and quality using data envelopment analysis (DEA) models in urban acute care hospitals. METHODOLOGY/APPROACH: In this observational cross-sectional study of a nationally representative sample of 371 urban acute care hospitals, hospital performance was assessed using slack-based additive DEA models. The technical inputs included in the DEA models were total number of beds setup and staffed, nonphysician full-time equivalent staffing, and nonpayroll operating expenses. The technical outputs were adjusted patient days, total number of outpatient visits, and training full-time equivalent, obtained from the American Hospital Association 2008 database. The quality measures used for the quality of care dimension of performance were survival rates for acute myocardial infarction, congestive heart failure, and pneumonia obtained from the Nationwide Inpatient Sample 2008 data. FINDINGS: Less than 20% of the sample hospitals were optimally performing for both quality and efficiency. Tobit regression analysis of the DEA scores found that public, small, teaching hospitals had higher DEA efficiency and quality scores. PRACTICE IMPLICATIONS: DEA is a promising tool for benchmarking both aspects of performance: efficiency and quality of hospitals. Because quality is a multidimensional construct, the choice of an appropriate composite quality measure has to be addressed in future research. However, incorporating quality into the DEA models would be a better reflection of the hospital product.

Freestanding inpatient rehabilitation facility performance following the 60 percent rule: a matter of fit.

The 60 percent rule has served as a controversial policy change within the postacute care sector since its revision in 2004, requiring inpatient rehabilitation facilities (IRFs) to admit no less than 60% of patients according to 1 of 13 specific conditions or else risk the loss of IRF designation according to Medicare's prospective payment system. Using a contingency theory framework, this study proposes that the 60 percent rule introduced considerable uncertainty into freestanding IRFs' operational environment, and as a result, IRFs' operational performance varied according to their "fit" between certain structural characteristics and the pervasive environmental uncertainty. The results suggest that operational performance, as measured by facility Malmquist Index scores, decreased on average for freestanding IRFs following the 60 percent rule's enforcement in 2005. In contrast, organizations possessing structural characteristics that better "fit" the heightened environmental uncertainty exhibited improved performance on average during the study's 6-year time period.

Quality outcomes among efficient and inefficient nursing homes: a national study.

BACKGROUND: With an anticipated increased use of nursing homes to serve an aging population in the United States, questions regarding the quality and cost of nursing home services come to the fore. Such questions are the concern of nursing home residents, their families, private and public payers, policy makers, regulators, and nursing home operators. PURPOSES: The purpose of this study was to examine the relationship between quality of care and efficiency of nursing homes to determine the characteristics of facilities that achieve high quality and high efficiency. The study sought also to determine the extent to which nursing homes can provide high-quality services and do so with a high level of efficiency. METHODOLOGY/APPROACH: This was a cross-sectional study of a 10% random sample of U.S. nursing homes, excluding those in hospitals and also those with fewer than 20 beds or more than 360 beds. Data sources were the Online Survey Certification and Reporting, the Area Resource File database, the U.S. Bureau of Labor Statistics, and the U.S. Bureau of Economic Analysis. Data envelopment analysis was employed in the analysis of data. FINDINGS: The average efficiency of nursing homes was 0.869 (SD = 0.1362), with a statistically significant higher average efficiency for nursing homes in urban areas; in counties with a higher level of competition, higher average income, or higher number of home health agencies; and in not-for-profit and governmental facilities. Quality measures were compared between efficient and inefficient nursing homes, showing mostly favorable quality outcomes for efficient nursing homes. PRACTICE IMPLICATIONS: Families and residents evaluating or in search of nursing homes can be confident that high-quality, efficient nursing homes exist. Legislators, policy makers, regulators, payers, and administrators can be confident that the setting of standards that encourage striving for both quality and efficiency simultaneously is indeed realistic.

Assessment of physician performance for diabetes: a bias-corrected data envelopment analysis model.

BACKGROUND: In most national health systems, especially when universal coverage is provided, family physicians act as gatekeepers, because most healthcare services are only delivered if there is a formal prescription provided by a primary care physician. Although the consumption of healthcare resources is initiated by prescriptions coming from family physicians, studies that evaluate their performance, especially those using a consolidated methodology (e.g.quality and efficiency) are limited in the literature. The specific aim of this paper is to propose a method for assessing primary care performance. METHODS: The novelty of the proposed model is twofold. First, physician performance is assessed following a clinical pathway that focuses on homogeneous groups of patients, in this case, diabetes patients. Second, we argue that performance should not be limited to efficiency, but should encompass clinical effectiveness. Performance assessment is not based on the physician practice as a whole, but on a single disease, in this paper, diabetes. Data were collected from a sample of family physician practices in Italy, and Data Envelopment Analysis (DEA) is used to evaluate their efficiency performance. RESULTS: We found that 35 of 96 practices were efficient based on the standard DEA model. The number of efficient practices decreased based on three restricted models that explored various behavioural preferences of physicians in relation to patient visits, medication administration and referrals to hospitals. CONCLUSION: The efficiency assessment is completed by a post-hoc evaluation of effectiveness, which in this study is defined as patient care adherence to the prescribed guideline. This study identified best practices both in terms of efficiency and effectiveness. The methods used in this paper are generalisable and could be applied to many other chronic conditions, which may constitute the prevalent activities within the primary care.

Clinical challenges: Myeloma and concomitant type 2 diabetes.

Multiple myeloma is a malignant plasma cell disorder that accounts for approximately 10% of all hematological cancers. It is characterized by accumulation of clonal plasma cells, predominantly in the bone marrow. The prevalence of type 2 diabetes is increasing; therefore, it is expected that there will be an increase in the diagnosis of multiple myeloma with concomitant diabetes mellitus. The treatment of multiple myeloma and diabetes mellitus is multifaceted. The coexistence of the two conditions in a patient forms a major challenge for physicians.

Water-borne diseases, cost of illness and willingness to pay for diseases interventions in rural communities of developing countries.

BACKGROUND: Almost one third of the global population is living in developing South Asia where disease occurrence is high especially in rural areas and people are unaware of water-borne diseases and cost of illness. METHODS: The quantitative approach involved questionnaire based study (n=50 households). The community awareness, the occurrence of water-borne diseases with related cost of illness and community participation for the introduction of health interventions for water-borne diseases were evaluated through cross-tabulations, correlations, and ANOVA. RESULTS: Majority (40%) of the community had no knowledge of water-borne diseases except some had little knowledge of diarrhea and typhoid. Diarrhea followed by stomach diseases was widespread in the community. Population below poverty level was bearing the cost of illness around US$ 0.6-1.2 (Rs 50-100) per day followed by low and average income level with direct cost of US$ 2.3 (Rs 200) per day. The indirect cost of illness had showed increasing trend between US$ 2.3-4.7 (Rs 200-400) per day with increase in income levels. Maximum willingness to pay (WTP) for water supply and sewerage system was US$ 3.6 (Rs 300) and US$ 1.2 (Rs 100) per month respectively. Income and water supply demand was strongly correlated with acceptability to pay for the facilities (r = 0.319, 0.307; P< 0.05). Income had a strong influence on WTP for water and sewerage system (r = 0.805, 0.797; P< 0.05). CONCLUSION: To maintain rural health, water-borne diseases can be reduced by introducing health interventions like proper water and sanitation facilities.

Hospital electronic medical record enterprise application strategies: do they matter?

BACKGROUND: Successful implementations and the ability to reap the benefits of electronic medical record (EMR) systems may be correlated with the type of enterprise application strategy that an administrator chooses when acquiring an EMR system. Moreover, identifying the most optimal enterprise application strategy is a task that may have important linkages with hospital performance. PURPOSE: This study explored whether hospitals that have adopted differential EMR enterprise application strategies concomitantly differ in their overall efficiency. Specifically, the study examined whether hospitals with a single-vendor strategy had a higher likelihood of being efficient than those with a best-of-breed strategy and whether hospitals with a best-of-suite strategy had a higher probability of being efficient than those with best-of-breed or single-vendor strategies. A conceptual framework was used to formulate testable hypotheses. METHODOLOGY: A retrospective cross-sectional approach using data envelopment analysis was used to obtain efficiency scores of hospitals by EMR enterprise application strategy. A Tobit regression analysis was then used to determine the probability of a hospital being inefficient as related to its EMR enterprise application strategy, while moderating for the hospital's EMR "implementation status" and controlling for hospital and market characteristics. FINDINGS: The data envelopment analysis of hospitals suggested that only 32 hospitals were efficient in the study's sample of 2,171 hospitals. The results from the post hoc analysis showed partial support for the hypothesis that hospitals with a best-of-suite strategy were more likely to be efficient than those with a single-vendor strategy. PRACTICE IMPLICATIONS: This study underscores the importance of understanding the differences between the three strategies discussed in this article. On the basis of the findings, hospital administrators should consider the efficiency associations that a specific strategy may have compared with another prior to moving toward an enterprise application strategy.

Health care delivery restructuring and productivity change: assessing the Veterans Integrated Service Networks (VISNs) using the Malmquist approach.

This study evaluates the productivity changes for the Veterans Integrated Service Networks (VISNs) that the Veterans Health Administration (VHA) created, comparing performance in 1994 with that in 2004. This represents periods before and after the VHA in 1995 reconfigured provider units into 21 regionalized delivery systems and engaged in other important system innovations. Productivity is measured using the Malmquist Index approach (a longitudinal version of the data envelopment analysis [DEA]). Results indicate that the VISN restructuring generally produced improvements in overall productivity (Malmquist scores) and in VISN adaptations to structural/technological change. They also show that the VISNs overall did not produce "changes in efficiency," reflecting challenges they may have faced in making "technical change" through management adaptations. The findings are consistent with what would be expected, given the major changes that did occur within the VHA in recent years as well as the before and after design used in this study.

An examination of technical efficiency, quality, and patient safety in acute care nursing units.

Using an innovative statistical approach-data envelopment analysis-the authors examined the technical efficiency of 226 medical, surgical, and medical-surgical nursing units in 118 randomly selected acute care hospitals. The authors used the inputs of registered nurse, licensed practical nurse, and unlicensed hours of care; operating expenses; and number of beds on the unit. Outputs included case mix adjusted discharges, patient satisfaction (as a quality measure), and the rates of medication errors and patient falls (as measures of patient safety). This study found that 60% of units were operating at less than full efficiency. Key areas for improvement included slight reductions in labor hours and large reductions in medication errors and falls. The study findings indicate the importance of improving patient safety as a mechanism to simultaneously improve nursing unit efficiency.