Areas Of Health Care Services Research Articles

Performance of health care service area definitions for capturing variation in inpatient care and social determinants of health.

To quantify the degree to which health care service area (HCSA) definitions captured hospitalizations and heterogeneity in social determinants of health (SDOH). Geospatial data from the Centers for Medicare and Medicaid Services, the Census Bureau, and the Dartmouth Institute. Drive-time isochrones from MapBox. Area Deprivation Index (ADI) data. 2017 inpatient discharge data from Arizona, Florida, Iowa, Maryland, Nebraska, New Jersey, New York, and Wisconsin, State Emergency Department Databases and State Inpatient Databases, Healthcare Cost and Utilization Project, Agency for Healthcare Research and Quality; and Fee-For-Service Medicare data in 48 states. Cross-sectional, descriptive analysis. The capture rate was the percentage of inpatient discharges occurring in the same HCSA as the hospital. We compared capture rates for each HCSA definition for different populations and by hospital type. We measured SDOH heterogeneity using the coefficient of variation of the ADI among ZIP codes within each HCSA. HCSA definitions captured a wide range of inpatient discharges, ranging from 20% to 50% for Public Use Microdata Areas (PUMAs) to 93%-97% for Metropolitan Statistical Areas (MSAs). Three-quarters of inpatient discharges were from facilities within the same county as the patient's residential ZIP code, while nearly two-thirds were within the same Hospital Service Area. From the hospital perspective, 74.7% of inpatient discharges originated from within a 30-min drive and 90.1% within a 60-min drive. Capture rates were the lowest for teaching hospitals. PUMAs and drive-time-based HCSAs encompassed more homogenous populations while MSAs, Commuting Zones, and Hospital Referral Regions captured the most variation. The proportion of hospital discharges captured by each HCSA varied, with MSAs capturing the highest proportion of discharges and PUMAs capturing the lowest. Additionally, researchers face a trade-off between capture rate and population homogeneity when deciding which HCSA to use.

Patients’ Perceptions of Sound and Noise Dimensions in the Dental Clinic Soundscape

In the area of dental healthcare services, where patients and professionals deal with multiple auditory stimuli, this cross-sectional study reports on the various dynamics of sound preferences, noise obstacles, and the profound impact of music on anxiety reduction within dental office settings. The sample comprises 134 dental patients, primarily females (56.7%), with varying age groups, education levels, and therapy durations in the university clinics of the Department of Dentistry, National and Kapodistrian University of Athens, and four private dental offices at the metropolitan area of Athens, Greece. Notably, 92.5% of the participants reported no hearing loss, and 56.7% exhibited some level of noise sensitivity. This study reveals a moderate to good perceived health status (M = 3.84, SD = 0.95) among participants, with low perceived noise disturbance in university dental clinics. Preferences for instrumental music, foreign pop, and classical music are prominent during waiting times. Potential irritations include impersonal treatment (44%) and staff behavior (41.8%). Correlations and predictors indicate associations between age, gender, educational status, music preferences, and noise disturbances. Findings aim to optimize eco-soundscapes in dental offices, contributing to enhanced patient well-being. The research underscores the potential of music interventions to alleviate dental anxiety and improve the overall dental experience and quality care.

Delphi method to determine a list of questionnaire-assessed parameters in the follow-up of patients with inflammatory bowel disease

BACKGROUND: Patients with inflammatory bowel disease often require lifelong follow-up by a clinician. Telemedicine monitoring is a promising area of such healthcare services, often based on the evaluation of patients’ remote questionnaire results by a medical practitioner. AIM: To define, using the Delphi method, a list of questionnaire-assessed parameters for monitoring and treating patients with IBD. MATERIALS AND METHODS: The study was conducted in three stages. An electronic survey form was created to collect information, ensuring that the respondent’s experience was included when completing the survey. In the first stage, respondents answered an open-ended question about what parameters assessed by questionnaires should be monitored in patients with IBD. In the second stage, participants answered the same question but selected any number of items from a list. In the third stage, the responses were analyzed. The primary endpoint was a consensus on each parameter, defined as 75% respondent agreement. RESULTS: The study had 15 participants, 13.3% of whom were male. Of all respondents, 46% worked in an outpatient setting, whereas 54% worked in an inpatient setting. Their ages ranged from 25 to 53 years, with 53% of the participants having 1–4 years of experience and 47% having 17–29 years of experience. None of the parameters reached a 75% agreement level based on the results of the first stage. In the second stage, respondents reached a consensus on 72% of the parameters. No relationship was found between respondents’ age, sex, years of experience, or job settings and responses in the first and second stages. CONCLUSIONS: The final list of parameters recommended for evaluation during the monitoring and treatment of patients with IBD included abdominal pain, frequency of defecation and stool quality, presence of pathological stool impurities, body temperature, joint/muscle pain, sleep quality, anxiety, depression, work capacity for employed/ability to attend lessons for students, energy and quantity of vigor, fixation on the disease, patients’ general evaluation of their quality of life, and treatment adherence.

Retrospective Evaluation of Poisoning Cases Followed Up in Pediatric Intensive Care Unit-A 12-Year Experience in a Single Center.

Poisonings constitute an important part of preventable morbidity and mortality in pediatric intensive care units (PICUs) and hospitalizations. However, information on poisoning requiring intensive care is limited. This study aimed epidemiological evaluation of poisoning cases treated in the PICU in a single center. The records of 504 patients admitted to the PICU due to acute poisoning between 2010 and 2022 were retrospectively reviewed. Data were evaluated using descriptive methods and the χ2 test, and statistical differences with P value <0.05 were considered significant. The age range of the patients ranged from 1 month to 216 months (18 years), and the rate of girls was 53.2% (n = 268), whereas the rate of boys was 46.8% (n = 236). The mean age was 4.4 ± 4.3 years for boys, 6.7 ± 5.8 years for girls, and 5.6 ± 5.3 years for all patients. It was determined that 79.6% of the cases were poisoned by accident and 20.4% by suicide. A total of 76.7% of the patients who were poisoned for suicide were girls and 23.3% were boys. The mean age of these patients was 14.3 ± 3.0 years. On the other hand, 47.1% of the children who were accidentally poisoned were girls and 52.9% were boys, and the mean age of these children was 3.4 ± 2.9 years. Although 79.9% of poisonings occurred at home, the causative agent was oral poisoning in 97.4% of the cases. Approximately two thirds (69.2%) of the cases were drug-related, whereas 30.8% were related to nondrug substances. In drug-related poisonings, central nervous system drugs (35.8%) were the most common agent, followed by analgesic/antipyretic (20.9%) agents, whereas among the nonpharmaceutical factors, insecticides (agricultural pesticides, rat poison, pesticides, etc) were the most common, followed by poisonous herbs (beetleweed, widow's weed, cannabis, etc). The mean admission time of the patients to the hospital was 6.3 ± 8.4 hours, and the mean length of stay in the intensive care unit was 1.6 ± 1.3 days. In the 12 years of our study, only 3 patients died due to poisoning, and our mortality rate was 0.5%. Four patients (0.7%) were referred to the Alcohol and Drug Addicts Treatment and Research Center. In this study, in which we retrospectively analyzed the profiles of poisoning cases hospitalized in the PICU for 12 years, we determined that poisonous weeds were the major factor in accidental poisonings, and suicidal poisonings were above the expected rates even at the young age group such as 8-12 years old. These results show the importance of determining the poisoning profile of the health care service area.

Disability and Social Inclusion: Lessons From the Pandemic

The coronavirus pandemic necessitated rapid, radical changes to global systems, structures, and organisations across all areas of life, including education, healthcare, and social services. These changes were something of a double‐edged sword. On the one hand, widespread adoption of the kinds of remote‐working technologies long advocated for by disabled people opened up possibilities for inclusion. On the other, some people’s inability to access such technologies, together with increased social isolation, exacerbated forms of exclusion. This thematic issue considers what lessons can be learned from the pandemic in striving to design a future which is more inclusive for all. In this editorial, we provide a brief overview of some of the major challenges the pandemic created for disabled people, who were disproportionately negatively affected by it. We also suggest that a disability rights lens is a useful way of highlighting both the contingency of disability and the need for more responsive and humane healthcare systems. The editorial goes on to outline the opportunities to challenge entrenched ableism and create a “new normal” the pandemic afforded. It concludes by offering a thematic overview of the articles in this thematic issue, which together reveal a complex pattern of inclusions and exclusions, interdependence, and intersectionality.

COVID-19 Impact on Teaching Substance Use Disorders: A Nursing Curricular Thread.

Vulnerable populations such as those with substance use disorders (SUDs) are at a higher risk for early morbidities and mortalities yet are less likely to receive primary care and other necessary psychosocial services essential for comprehensive care of these clients. This need has been magnified by the COVID-19 pandemic. Evidence supports an increase in alcohol sales in 2020, and overdoses from illicit drugs have been reported to have more than doubled by May 2020 from the 2018 and 2019 baseline rates, and one reason for these increases is because of COVID-19. The healthcare system is overwhelmed with the cost of treating and addressing the impact of SUDs. Individuals with SUDs often meet providers who are not sufficiently prepared to address their complex issues that include co-occurring mental and physical health disorders. In addition to changes in practice, nursing education must change their curricular approach to meet the challenges in health services across the life span, and nursing education should include lessons being learned during the COVID-19 pandemic. Nurses must be prepared to recognize and screen individuals for SUDs at the undergraduate level as well as assess and treat individuals with SUDs at the advanced practice level in all areas of healthcare services. SUDs should not continue to be siloed and separated into the psychiatric-mental health nursing course within the nursing curriculum but should be addressed in multiple specialties across the curricula and include health responses in regard to the impact that the COVID-19 pandemic is having on SUDs.

A systematic literature review of artificial intelligence in the healthcare sector: Benefits, challenges, methodologies, and functionalities

Administrative and medical processes of the healthcare organizations are rapidly changing because of the use of artificial intelligence (AI) systems. This change demonstrates the critical impact of AI at multiple activities, particularly in medical processes related to early detection and diagnosis. Previous studies suggest that AI can raise the quality of services in the healthcare industry. AI-based technologies have reported to improve human life quality, making life easier, safer and more productive. This study presents a systematic review of academic articles on the application of AI in the healthcare sector. The review initially considered 1,988 academic articles from major scholarly databases. After a careful review, the list was filtered down to 180 articles for full analysis to present a classification framework based on four dimensions: AI-enabled healthcare benefits, challenges, methodologies, and functionalities. It was identified that AI continues to significantly outperform humans in terms of accuracy, efficiency and timely execution of medical and related administrative processes. Benefits for patients’ map directly to the relevant AI functionalities in the categories of diagnosis, treatment, consultation and health monitoring for self-management of chronic conditions. Implications for future research directions are identified in the areas of value-added healthcare services for medical decision-making, security and privacy for patient data, health monitoring features, and creative IT service delivery models using AI.

Prediction of health monitoring with deep learning using edge computing

Today's modern computing environment provides a smart healthcare monitoring system for early prediction of fall detection. The Internet of Things-based health model plays a significant role in the health care service area and helps to improve the processing of data and its prediction. Transferring reports or data from one place to another takes too much time and energy, and it will cause high latency and energy issues. To handle these kinds of hazards, edge computing provides solutions. In this paper w presents smart healthcare system issues, services, and applications. Furthermore, propose a CNN-based prediction model with the use of edge computing and IoT paradigms. Edge computing is a distributed environment framework that enables rapid resource availability and response time through local edge servers computed at the end of IoT devices. The CNN model is used to analyse the health data collected by IoT devices. Furthermore, the role of edge devices is to provide doctors and patients with timely health-prediction reports via edge servers. The proposed mechanism can be analysed using accuracy and error rate performance parameters. In the proposed mechanism, the accuracy is 99.23% in comparison with other techniques.

The geography of social vulnerability and nursing home facility factors related to infectious disease transmission

Background: The impacts of health inequities on healthcare access, utilization, and outcomes have been highlighted by the COVID-19 pandemic, but these issues have been ongoing, yet understudied, in infectious disease epidemiology. Health inequities affect access to care, quality of care, and health outcomes in all healthcare settings. One healthcare setting that has yet to be fully studied in the context of health inequities is nursing homes. Nursing homes have a host of facility and population-specific issues that differ from other healthcare settings, making the impacts of health inequities likely unique and imperative to understand. The impacts of health inequities on nursing homes are unclear, and they likely have downstream effects on trends in morbidity, mortality, and transmission of multidrug-resistant organisms (MDROs) and other pathogens. Method: Here, we present a descriptive analysis, integrating multiple datasets relating to nursing home facility factors (data from the CMS Provider of Services and the CDC NHSN), nursing-home staffing trends (data from the CMS Payroll-Based Journal data), and social vulnerability (data from the CDC Social Vulnerability Index). We conducted a spatial analysis of nursing-home locations and the social vulnerability of the area. Results: Investigations of facilities and health inequities are best conducted in small spatial geographies. Analyses with less detailed spatial geographies miss high levels of heterogeneity in social vulnerability. Figure 1 provides an example, showing that analyzing nursing homes at a smaller spatial scale (ie, healthcare service area or HSA) shows heterogeneity in poverty levels that might be overlooked at a rough spatial scale, like Hospital Referral Regions (HRR). The poverty level associated with a nursing home will differ greatly depending on the geography of the analysis. Conclusions: These findings highlight that health inequities affect the quality and quantity of care of in nursing homes and that research conducted at larger geographical scales may overlook important mechanistic factors. This work will inform epidemiological models for disease transmission in nursing homes, accounting for the impacts of health inequities on transmission. Abating health inequities in all healthcare settings is a necessity to improve public health for the entire United States.Funding: NoneDisclosures: None

Use of hospital care services by chronic patients according to their characteristics and risk levels by adjusted morbidity groups.

In-hospital care of chronic patients is based on their characteristics and risk levels. Adjusted morbidity groups (AMG) is a population stratification tool which is currently being used in Primary Care but not in Hospitals. The objectives of this study were to describe the use of hospital services by chronic patients according to their risk levels assigned by AMG and to analyze influencing variables. In this cross-sectional study, patients aged ≥18 years from a healthcare service area classified as chronically ill by the AMG classification system who used their referral hospital services from June 2015 to June 2016 were included. Predisposing and needs factors were collected. Univariate, bivariate and multiple linear regressions were performed. Of the 9,443 chronic patients identified (52.1% of the population in the selected area), 4,143 (43.9%) used hospital care services. Their mean age was 62.1 years (standard deviation (SD) = 18.4); 61.8% were female; 9% were high risk; 30% were medium risk, and 61% were low risk. The mean number of hospital service contacts was 5.0 (SD = 6.2), with 3.8 (SD = 4.3) visits to outpatient clinic, 0.7 (SD = 1.2) visits to emergency departments, 0.3 (SD = 2.8) visits to day hospital, and 0.2 (SD = 0.5) hospitalizations. The factors associated with greater service use were predisposing factors such as age (coefficient B (CB) = 0.03; 95% confidence interval (CI) = 0.01-0.05) and Spanish origin (CB = 3.9; 95% CI = 3.2-4.6). Among the needs factors were palliative care (CB = 4.8; 95% CI = 2.8-6.7), primary caregiver status (CB = 2.3; 95% CI = 0.7-3.9), a high risk level (CB = 2.9; 95% CI = 2.1-3.6), multimorbidity (CB = 0.8, 95% CI = 0.4-1.3), chronic obstructive pulmonary disease (COPD) (CB = 1.5, 95% CI = 0.8-2.3), depression (CB = 0.8, 95% CI = 0.3-1.3), active cancer (CB = 4.4, 95% CI = 3.7-5.1), and polymedication (CB = 1.1, 95% CI = 0.5-1.7). The use of hospital services by chronic patients was high and increased with the risk level assigned by the AMG. The most frequent type of contact was outpatient consultation. Use was increased with predisposing factors such as age and geographic origin and by needs factors such as multimorbidity, risk level and severe diseases requiring follow-up, home care, and palliative care.

A rapid evidence assessment exploring whether antimicrobial resistance complicates non-infectious health conditions and healthcare services, 2010-20.

Antimicrobial resistance (AMR) is one of the greatest public health threats at this time. While there is a good understanding of the impacts of AMR on infectious diseases, an area of less focus is the effects AMR may be having on non-communicable health conditions (such as cancer) and healthcare services (such as surgery). Therefore, this study aimed to explore what impact AMR is currently having on non-communicable health conditions, or areas of health services, where AMR could be a complicating factor impacting on the ability to treat the condition and/or health outcomes. To do this, a rapid evidence assessment of the literature was conducted, involving a systematic approach to searching and reviewing the evidence. In total, 101 studies were reviewed covering surgery, organ transplants, cancer, ICUs, diabetes, paediatric patients, immunodeficiency conditions, liver and kidney disease, and physical trauma. The results showed limited research in this area and studies often use a selective population, making the results difficult to generalize. However, the evidence showed that for all health conditions and healthcare service areas reviewed, at least one study demonstrated a higher risk of death for patients with resistant infections, compared with no or drug-susceptible infections. Poor health outcomes were also associated with resistant infections in some instances, such as severe sepsis and failure of treatments, as well as a greater need for invasive medical support. While there are gaps in the evidence base requiring further research, efforts are also needed within policy and practice to better understand and overcome these challenges.

Service design in the healthcare space with a special focus on non-clinical service departments: A synthesis and future directions.

Although there has been a tremendous change in the way diseases are diagnosed and treated, the ways in which health care delivery has been managed has seen very little change.Several academic studies have arisen in the area of service design, but an amalgamation of this research, especially in the area of healthcare services is not available. The aim of this systematic review is to evaluate the published research on service design in healthcare and accordingly identify the gaps and scope of future research. After analyzing the articles and reviewing the Service design in healthcare literature, the following are our main contributions: (i) clarification of the service design concept and the developments that appears in the literature review of service design in the healthcare sector; (ii) classification of the service design tools and techniques that are most commonly used in the healthcare sector; (iii) demonstration of the service design as the preponderant construct that is used as a tool and technique to improve quality and efficiency in the healthcare service.The resultant systematic review reveals a change in the type of research carried out, the service design tools used and a shift towards service design from using the co-design tool to other methods. The paper highlights the gaps in the very limited amount of empirical work in the non-clinical healthcare space and accordingly a model is recommended.

Chronic diseases in the geriatric population: morbidity and use of primary care services according to risk level

BackgroundGeriatric patients have significant morbidity and greater needs for care and assistance. The objective of this study was to describe the characteristics, morbidity, and use of services in primary care (PC) of patients with chronic diseases older than 65 years according to their risk level assigned by the adjusted morbidity groups (AMG) and to analyse the factors associated with the use of PC services.MethodsThis was a cross-sectional descriptive observational study. Patients older than 65 years from a healthcare service area, classified as chronically ill by the AMG classification system of the PC electronic medical record of the Community of Madrid, were included. Sociodemographic, clinical-care, and PC service utilization variables were collected. Univariate, bivariate and multivariate analyses were done.ResultsA total of 3292 chronic patients older than 65 years were identified, of whom 1628 (49.5%) were low risk, 1293 (39.3%) were medium risk and 371 (11.3%) were high risk. Their mean age was 78.1 (SD = 8.1) years and 2167 (65.8%) were women. Their mean number of chronic diseases was 3.8 (SD = 2), 89.4% had multimorbidity and 1550 (47.1%) were polymedicated. The mean number of contacts/year with PC was 19.5 (SD = 18.2) [men: 19.4 (SD = 19.8); women: 19.5 (SD = 17.4)]. The mean number of contacts/year in people over 85 years was 25.2 (SD = 19.6); in people 76–85 years old, it was 22.1 (SD = 20.3); and in people 66–75 years old, it was 14.5 (SD = 13.9). The factors associated with greater use of services were age (B coefficient [BC] = 0.3; 95%CI = 0.2–0.4), high risk level (BC = 1.9; 95%CI =0.4–3.2), weight of complexity (BC = 0.7; 95%CI = 0.5–0.8), and ≥ 4 chronic diseases (BC = 0.7; 95%CI = 0.3–1.1).ConclusionsIn the geriatric population, we found a high number of patients with chronic diseases and there were three levels of risk by AMG with differences in characteristics, morbidity, and use of PC services. The greatest use of services was by patients with older age, high risk level, greater weight of complexity and ≥ 4 chronic diseases. Further research is needed to develop an intervention model more adapted to the reality of the geriatric population based on risk levels by AMG.

Reusable, Low-Cost Alternative for Standard Personal Protective Equipment for Use in Non-COVID-19 Healthcare Service Areas

Reusable, Low-Cost Alternative for Standard Personal Protective Equipment for Use in Non-COVID-19 Healthcare Service Areas

Network Optimization Approach to Delineating Health Care Service Areas: Spatially Constrained Louvain and Leiden Algorithms.

Constructing service areas is an important task for evaluating geographic variation of health care markets. This study uses cancer care as an example to illustrate the methodology, with the nine-state Northeast Region of the U.S. as the study area. Two recent algorithms of network community detection are implemented to account for additional constraints such as spatial connectivity and threshold region size. The refined methods are termed "spatially-constrained Louvain (ScLouvain)" and "spatially-constrained Leiden (ScLeiden)" algorithms, corresponding to their predecessors Louvain and Leiden algorithms, respectively. Both are network optimization methods that maximize flows within delineated communities while minimizing inter-community flows. The service areas derived by the methods, termed "Cancer Service Areas (CSAs)", are more favorable than the commonly used comparable unit, Hospital Referral Regions (HRRs) for evaluating cancer-specific variation in care. Between the two, the ScLeiden performs better than ScLouvain in modularity, localization index and computational efficiency, and thus is recommended as an effective and efficient approach for defining functional regions.

Geographic-Level Association of Contemporary Changes in Localized and Metastatic Prostate Cancer Incidence in the Era of Decreasing PSA Screening.

Decreased prostate-specific antigen screening since 2008 has generated much concern, including report of recent increase in metastatic prostate cancer incidence among older men. Although increased metastatic disease was temporally proceeded by decreased screening and decreased localized prostate cancer at diagnosis, it is unclear whether the 2 trends are geographically connected. We therefore used the National Cancer Institute Surveillance, Epidemiology, and End Results (SEER) database to assess geographic-specific associations between changes in localized (2008-2011) and later changes in metastatic prostate cancer incidence (2012-2015). We examined trends from 200 health-care service areas (HSAs) within SEER 18 registries. While on average for each HSA, localized incidence decreased by 27.4 and metastatic incidence increased by 2.3 per 100 000 men per year, individual HSA-level changes in localized incidence did not correlate with later changes in metastatic disease. Decreased detection of localized disease may not fully explain the recent increase in metastatic disease at diagnosis.

Study of safety culture in healthcare institutions: case of an Algerian hospital

PurposeFor many years, the concept of safety culture has attracted researchers from all over the world, and more particularly in the area of healthcare services. The purpose of this paper is to measure safety culture dimensions in order to improve and promote healthcare in Algeria.Design/methodology/approachThe used approach consists of getting a better understanding of healthcare safety culture (HSC) by measuring the perception of healthcare professionals in order to guide promotion actions. For this, the Hospital Survey on Patient Safety Culture questionnaire was used in a pilot hospital setting where it was distributed on a number of 114 health professionals chosen by stratified random sampling.FindingsThe results showed that the identified priority areas for HSC improvement help in establishing a trust culture and a non-punitive environment based on the system and not on the individual.Originality/valueSafety is recognized as a key aspect of service quality, thus measuring the HSC can help establish an improvement plan. In Algerian health facilities, this study is considered the first to examine perceptions in this particular area. The current results provide a baseline of strengths and opportunities for healthcare safety improvement, allowing the managers of this type of facilities to take steps that are more effective.

Health Care Service Utilization and Cost Among Adults with Autism Spectrum Disorders in a U.S. Integrated Health Care System.

To compare health care utilization patterns and cost among insured adults with autism spectrum disorder (ASD), adults with attention-deficit and hyperactivity disorder (ADHD), and adults with neither condition (general population [GP] controls). We conducted a case-control study among adults (≥18 years) who were members of Kaiser Permanente Northern California (KPNC) for at least 9 months each year from 2008 to 2012. Cases (N = 1507) were adults with an ASD diagnosis (ICD-9-CM 299.0-299.8) recorded in the electronic medical record on at least two separate occasions by December 31, 2012. Two control groups, adults with ADHD (N = 9042) defined by ICD-9-CM code 314 and GP (N = 15,070), were randomly selected and frequency matched to cases on gender and age. Health care utilization and cost data were obtained from KPNC databases for the year 2012. Compared with adults with ADHD, adults with ASD had significantly higher utilization of outpatient visits for primary care (74.2% vs. 66.6%), mental health (43.3% vs. 33.2%), and laboratory services (60.9% vs. 54.4%). Hospitalizations for ambulatory care sensitive diagnoses (5.4% vs. 2.3%) were less frequent overall but more common among adults with ASD than with ADHD. Group differences were larger comparing adults with ASD with GP controls. Gynecology visits and screening for cervical cancer were significantly less common among women with ASD than among women with ADHD (35% vs. 50%) or GP (35% vs. 49%). Total annual mean healthcare costs for adults with ASD were 20% higher than costs for adults with ADHD and double costs for GP. Adults with ASD had significantly higher rates of utilization across most health care service areas compared with adults with ADHD or GP; however, women with ASD were significantly less likely to have gynecology visits and have screening for cervical cancer. We conducted a study among adults (≥18 years) who were members of Kaiser Permanente Northern California (KPNC) from 2008 to 2012. We compared how often people attended different types of health care and costs of health care among adults with autism spectrum disorder (ASD), adults with attention-deficit and hyperactivity disorder (ADHD), and adults with neither condition (general population [GP] controls). The study included 1507 adults with ASD, 9042 with ADHD but not ASD, and 15,070 GP controls with no ASD or ADHD. Health care and cost data were obtained from KPNC databases for the year 2012. The study found that adults with ASD used more outpatient visits for primary care, mental health, and laboratory services than adults with ADHD. Gynecology visits and screening for cervical cancer were less common among women with ASD than among women with ADHD or GP. Health care costs for adults with ASD were higher than costs for adults with ADHD and costs for GP. In conclusion, adults with ASD had higher rates of use of most health care service areas than adults with ADHD or GP; however, women with ASD were less likely to have gynecology visits and have screening for cervical cancer.

A neo-institutional analysis of the hidden interaction between the Israeli Supreme Court and the Ministry of Finance: the right to healthcare services

BackgroundUnder structural conditions of non-governability, most players in the policy arena in Israel turn to two main channels that have proven effective in promoting the policies they seek: the submission of petitions to the High Court of Justice and making legislative amendments through the Economic Arrangements Law initiated by the Ministry of Finance. Nevertheless, an analysis of the principal trends emerging from the High Court of Justice rulings and legislative amendments through the Economic Arrangements Law indicates that these channels are open to influence, primarily by forces that are essentially neo-liberal. Little is known about the effects of these trends on the right to healthcare services, which in Israel has not been legislated as an independent constitutional law in Basic Laws.MethodsWe use four major legal cases decided by the Supreme Court of Israel in the past 10 years where the Court reviewed new legislative initiatives proposed by the Economic Arrangements Law in the area of healthcare. We utilize an institutional approach in our analysis.ResultsA neo-institutional analysis of the legal cases demonstrates that petitions against the Economic Arrangements Law in the area of healthcare services have been denied, even though the Court uses strong rhetoric against that law and the government more generally in addressing issues that concern access to healthcare services and reforms in the healthcare system. This move strengthens the trend toward a neo-liberal public policy and significantly weakens the legal protection of the right to healthcare services.ConclusionIn deciding petitions against the Economic Arrangements Law in the area of healthcare, the Supreme Court allows the Ministry of Finance to be a dominant player in the formation of public policy. In doing so, it may be promoting a goal of strengthening its position as a political institution that aspires to increase the public’s trust in the judiciary and especially in the Supreme Court itself, in addition to exercising judicial restraint and allowing more leeway to the executive and legislative branches more generally.

Financial cost of elective day of surgery cancellations

Operative care is one of the major areas of healthcare services as over 310 million surgeries are conducted yearly. Surgery cancellations is a widely used indicator when evaluating the quality of preoperative care. Cancellations cause financial lost for organizations, however there is only limited research about the costs. The aim of this study was to evaluate the cost of elective day of surgery (DOS) cancellations in 13 operative specialties at a university hospital in Finland between September 1, 2015 and May 31, 2016 after a structured preoperative protocol was implemented to practice and a cancellation rate of 4.7% was recognized. Procedure prices conducted the data for the research and were collected from the hospital’s invoicing system. Financial loss and savings of cancellations were calculated from the total cost of procedures. As a result the total cost of DOS cancellations during the nine-month time period was 953,374.27 euros and mean loss of a single cancelled operation was 2,459.91 euros. The total of material savings for the hospital were 106,917.33 euros. As a conclusion, DOS cancellations cause unnecessary wastage, and financial aspects should be followed and evaluated systematically by setting goals and providing continuing developments.