Relationship between Diagnostic Method and Pathogen Detection, Healthcare Resource Use, and Cost in U.S. Adult Outpatients Treated for Acute Infectious Gastroenteritis.

A retrospective observational study was performed to assess the relationship between diagnostic method (traditional work-up [TW], multiplex PCR panel with < 12 target pathogens [PCR < 12], or multiplex PCR panel with ≥ 12 target pathogens [PCR12]), and diagnostic yield, health care resource use (HRU), and cost in adult outpatients visiting U.S. hospitals for acute infectious gastroenteritis (AGE). Using data from PINC AI Healthcare Database during January 1, 2016-June 30, 2021, we analyzed adult patients with an AGE diagnosis and stool testing performed during an outpatient visit. Detection rates for different pathogens were analyzed for those with microbiology data available. Among 36,787 patients, TW was most often performed (57.0%). PCR12 testing was more frequent in patients from large, urban, and teaching hospitals, compared to TW (all P < 0.01). PCR12 was associated with a higher mean index visit cost (by $97) but lower mean 30-day AGE-related follow-up cost (by $117) than TW. Patients with PCR12 had a lower 30-day AGE-related hospitalization risk than TW (1.7% versus 2.7% P < 0.01). Among the 8,451 patients with microbiology data, PCR12 was associated with fewer stool tests per patient (mean 1.61 versus 1.26), faster turnaround time (mean 6.3 versus 25.7 h) and lower likelihood of receiving in-hospital antibiotics (39.4% versus 47.1%, all P < 0.01) than TW. A higher percentage of patients with PCR12 had a target pathogen detected (73.1%) compared to PCR < 12 (63.6%) or TW (45.4%, P < 0.01). Thus, we found that large multiplex PCR panels were associated with lower 30-day AGE-related follow-up cost and risk of AGE-related hospitalization, and increased diagnostic yield compared to TW.

COVID-19 severity scale for claims data research.

OBJECTIVE: To create and validate a methodology to assign a severity level to an episode of COVID-19 for retrospective analysis in claims data. DATA SOURCE: Secondary data obtained by license agreement from Optum provided claims records nationally for 19,761,754 persons, of which, 692,094 persons had COVID-19 in 2020. STUDY DESIGN: The World Health Organization (WHO) COVID-19 Progression Scale was used as a model to identify endpoints as measures of episode severity within claims data. Endpoints used included symptoms, respiratory status, progression to levels of treatment and mortality. DATA COLLECTION/EXTRACTION METHODS: The strategy for identification of cases relied upon the February 2020 guidance from the Centers for Disease Control and Prevention (CDC). PRINCIPAL FINDINGS: A total of 709,846 persons (3.6%) met the criteria for one of the nine severity levels based on diagnosis codes with 692,094 having confirmatory diagnoses. The rates for each level varied considerably by age groups, with the older age groups reaching higher severity levels at a higher rate. Mean and median costs increased as severity level increased. Statistical validation of the severity scales revealed that the rates for each level varied considerably by age group, with the older ages reaching higher severity levels (p < 0.001). Other demographic factors such as race and ethnicity, geographic region, and comorbidity count had statistically significant associations with severity level of COVID-19. CONCLUSION: A standardized severity scale for use with claims data will allow researchers to evaluate episodes so that analyses can be conducted on the processes of intervention, effectiveness, efficiencies, costs and outcomes related to COVID-19.

Effect of the COVID-19 on Perceptions of Health, Anticipated Need for Health Services, and Cost of Health Care.

OBJECTIVE: This article investigates how perceived vulnerability to the coronavirus disease 2019 (COVID-19) pandemic at its early stages is associated with people's perception of their health, the need for health-care services, and expenses related to addressing the COVID-19 impact on their health. METHODS: The results are based on the analysis of surveys that were distributed among members of 26 random Facebook groups in April-May, 2020. Perceived COVID-19 pandemic related stress and health concerns were examined by using the analysis of variance (ANOVA) test. RESULTS: Among 315 respondents, 64% have experienced COVID-19 related stress and identified anxiety, headache, insomnia, and weight gain as their primary health concerns. The ANOVA test revealed that females are more impacted by the COVID-19 stress than males. Around 40% of respondents believed that the COVID-19 would lead to an increase in the cost of health services, and 20% of respondents anticipated that the COVID-19 pandemic would increase their need for health services. CONCLUSIONS: Learning about how people perceive the COVID-19 pandemic impact on their health, particularly in the pandemic's early stages can allow health professionals to develop targeted interventions that can influence pandemic preventative behaviors among different population groups. This study can help understand use patterns and mitigate financial barriers that could interfere with patients' care-seeking behavior.

Impact of the COVID-19 pandemic on treatment for mental health needs: a perspective on service use patterns and expenditures from commercial medical claims data.

OBJECTIVE: To examine changes in use patterns, cost of healthcare services before and after the outbreak of the COVID-19 pandemic, and their impacts on expenditures for patients receiving treatment for depression, anxiety, eating disorders, and substance use. METHODS: This cross-sectional study employed statistical tests to analyze claims in MarketScan® Commercial Database in March 2020-February 2021 and quarterly from March 2020 to August 2021, compared to respective pre-pandemic periods. The analysis is based on medical episodes created by the Merative™ Medical Episode Grouper (MEG). MEG is a methodology that groups medical and prescription drug claims to create clinically relevant episodes of care. RESULTS: Comparing year-over-year changes, proportion of patients receiving anxiety treatment among all individuals obtaining healthcare services grew 13.7% in the first year of the pandemic (3/2020-2/2021) versus 10.0% in the year before the pandemic (3/2019-2/2020). This, along with a higher growth in price per episode (5.5% versus 4.3%) resulted in a greater increase in per claimant expenditure ($0.61 versus $0.41 per month). In the same periods, proportion of patients receiving treatment for depression grew 3.7% versus 6.9%, but per claimant expenditure grew by same amount due to an increase in price per episode (4.8%). Proportion of patients receiving treatment for anorexia started to increase 21.1% or more in the fall of 2020. Patient proportion of alcohol use in age group 18-34 decreased 17.9% during the pandemic but price per episode increased 26.3%. Patient proportion of opioid use increased 11.5% in March-May 2020 but decreased or had no significant changes in subsequent periods. CONCLUSIONS: We investigated the changes in use patterns and expenditures of mental health patients before and after the outbreak of the COVID-19 pandemic using claims data in MarketScan®. We found that the changes and their financial impacts vary across mental health conditions, age groups, and periods of the pandemic. Some changes are unexpected from previously reported prevalence increases among the general population and could underlie unmet treatment needs. Therefore, mental health providers should anticipate the use pattern changes in services with similar COVID-19 pandemic disruptions and payers should anticipate cost increases due, in part, to increased price and/or service use.

The Relationship Between Exercise Habits and Stress Among Individuals With Access to Internet-Connected Home Fitness Equipment: Single-Group Prospective Analysis.

BACKGROUND: Physical activity (PA) confers numerous benefits to health and health care costs, yet most adults are not meeting recommended PA guidelines. Stress may be a factor that influences PA behavior. Research investigating the impact of stress on PA has yielded inconsistent findings. Most studies find that stress negatively impacts PA, but there is some evidence that habitual exercising buffers this association. OBJECTIVE: This study aims to examine the relationship between stress and exercise habits among habitual exercisers with internet-connected home fitness equipment (Peloton Bike) during the COVID-19 lockdown. METHODS: Participants were recruited through Facebook (N=146) and asked to complete an internet-based survey that assessed COVID-19-related stressors, perceived stress associated with those stressors, and general perceived stress. Self-reported exercise was assessed on the survey using the Godin Leisure-time Exercise Questionnaire (GLTEQ). Participants were also asked for consent to access their Peloton usage data through the Peloton platform. From their usage data, the frequency and duration of cycling classes was calculated for 4 weeks prior to and 12 weeks following the survey. Hierarchical regression equations tested the association between stress reported on the survey and subsequent exercise participation. Exercise participation was quantified both as the frequency and duration of Peloton cycling over the 12 weeks following the survey and as self-reported moderate to vigorous activity on a second survey completed by a subset of participants 12 weeks after the initial survey. RESULTS: There were 146 participants in our Peloton analysis sample and 66 in the self-reported exercise analysis. Peloton user data showed that study participants cycled frequently (mean 5.9 times per week) in the month prior to the initial survey, and that presurvey Peloton use was a strong predictor of exercise frequency (R2=0.57; F2,143=95.27; P<.001) and duration (R2=0.58; F2,143=102.58; P<.001) for the 12 subsequent weeks. Self-reported overall exercise likewise showed that this sample was very active, with an average of more than 8 times per week of moderate to vigorous exercise at the initial survey. Self-reported exercise on the initial survey was a strong predictor of self-reported exercise 12 weeks later (R2=0.31; F1,64=29.03; P<.001). Perceived stress did not impact Peloton cycling duration or frequency (P=.81 and .76, respectively) or self-reported exercise (P=.28). CONCLUSIONS: The results suggest that stress did not negatively impact exercise participation among habitually active adults with access to internet-connected home fitness equipment. Habitual exercise may buffer the impact of stress on participation in regular moderate to vigorous activity. Future research should examine the role that the availability of home-based internet-connected exercise equipment may play in this buffering.

Modelling the potential health and economic benefits of reducing population sitting time in Australia.

BACKGROUND: Strong evidence indicates that excessive time spent sitting (sedentary behaviour) is detrimentally associated with multiple chronic diseases. Sedentary behaviour is prevalent among adults in Australia and has increased during the COVID-19 pandemic. Estimating the potential health benefits and healthcare cost saving associated with reductions in population sitting time could be useful for the development of public health initiatives. METHODS: A sedentary behaviour model was developed and incorporated into an existing proportional, multi-state, life table Markov model (ACE-Obesity Policy model). This model simulates the 2019 Australian population (age 18 years and above) and estimates the incidence, prevalence and mortality of five diseases associated with sedentary behaviour (type 2 diabetes, stroke, endometrial, breast and colorectal cancer). Key model inputs included population sitting time estimates from the Australian National Health Survey 2014-2015, healthcare cost data from the Australian Institute of Health and Welfare (2015) and relative risk estimates assessed by conducting literature reviews and meta-analyses. Scenario analyses estimated the potential change in disease incidence as a result of changes in population sitting time. This, in turn, resulted in estimated improvements in long term health outcomes (Health-adjusted life years (HALYs)) and healthcare cost-savings. RESULTS: According to the model, if all Australian adults sat no more than 4 h per day, the total HALYs gained would be approximately 17,211 with health care cost savings of approximately A$185 million over one year. Under a more feasible scenario, where sitting time was reduced in adults who sit 4 or more hours per day by approximately 36 min per person per day (based on the results of the Stand Up Victoria randomised controlled trial), potential HALYs gained were estimated to be 3,670 and healthcare cost saving could reach A$39 million over one year. CONCLUSIONS: Excessive sedentary time results in considerable population health burden in Australia. This paper describes the development of the first Australian sedentary behaviour model that can be used to predict the long term consequences of interventions targeted at reducing sedentary behaviour through reductions in sitting time. These estimates may be used by decision makers when prioritising healthcare resources and investing in preventative public health initiatives.

Cost comparison between spinal versus general anesthesia for hip and knee arthroplasty: an incremental cost study.

PURPOSE: Wait list times for total joint arthroplasties have been growing, particularly in the aftermath of the COVID-19 pandemic. Increasing operating room (OR) efficiency by reducing OR time and associated costs while maintaining quality allows the greatest number of patients to receive care. METHODS: We used propensity score matching to compare parallel processing with spinal anesthesia in a block room vs general anesthesia in a retrospective cohort of adult patients undergoing primary total hip arthroplasty (THA) and total knee arthroplasty (TKA). We compared perioperative costs, hospital costs, OR time intervals, and complications between the groups with nonparametric tests using an intention-to-treat approach. RESULTS: After matching, we included 636 patients (315 TKA; 321 THA). Median [interquartile range (IQR)] perioperative costs were CAD 7,417 [6,521-8,109], and hospital costs were CAD 10,293 [9,344-11,304]. Perioperative costs were not significantly different between groups (pseudo-median difference [MD], CAD -47 (95% confidence interval [CI], -214 to -130; P = 0.60); nor were total hospital costs (MD, CAD -78; 95% CI, -340 to 178; P = 0.57). Anesthesia-controlled time and total intraoperative time were significantly shorter for spinal anesthesia (MD, 14.6 min; 95% CI, 13.4 to 15.9; P < 0.001; MD, 15.9; 95% CI, 11.0 to 20.9; P < 0.001, respectively). There were no significant differences in complications. CONCLUSION: Spinal anesthesia in the context of a dedicated block room reduced both anesthesia-controlled time and total OR time. This did not translate into a reduction in incremental cost in the spinal anesthesia group.

RéSUMé: OBJECTIF: Les temps d'attente pour les arthroplasties articulaires totales ont augmenté, en particulier à la suite de la pandémie de COVID-19. Une augmentation de l'efficacité de la salle d'opération (SOP) fondée sur une réduction du temps en salle d'opération et des coûts associés, tout en maintenant la qualité, permettrait à un plus grand nombre de patients de recevoir des soins. MéTHODE: Nous avons utilisé l'appariement par score de propension pour comparer en parallèle des traitements par rachianesthésie dans une salle de bloc vs par anesthésie générale dans une cohorte rétrospective de patients adultes bénéficiant d'une arthroplastie totale de la hanche (ATH) et d'une arthroplastie totale du genou (ATG) primaires. Nous avons comparé les coûts périopératoires, les coûts hospitaliers, les intervalles de temps en SOP et les complications entre les groupes avec des tests non paramétriques en utilisant une approche d'intention de traiter. RéSULTATS: Après appariement, nous avons inclus 636 patients (315 ATG; 321 ATH). Les coûts périopératoires médians [écart interquartile (ÉIQ)] étaient de 7417 $ CA [6521 ­ 8109] et les coûts hospitaliers de 10 293 $ CA [9344 ­ 11 304]. Les coûts périopératoires n'étaient pas significativement différents entre les groupes (différence pseudomédiane [DM], −47 $ CA (intervalle de confiance à 95 % [IC], −214 à −130; P = 0,60), pas plus que les coûts hospitaliers totaux (DM, −78 $ CA; IC 95 %, −340 à 178; P = 0,57). Le temps sous anesthésie et le temps peropératoire total étaient significativement plus courts pour la rachianesthésie (DM, 14,6 min; IC 95 %, 13,4 à 15,9; P < 0,001; DM, 15,9; IC 95 %, 11,0 à 20,9; P < 0,001, respectivement). Aucune différence significative n'a été observée dans les complications. CONCLUSION: La rachianesthésie dans un contexte de salle de bloc dédiée a réduit à la fois le temps sous anesthésie et le temps total de SOP. Cela ne s'est pas traduit par une réduction du coût différentiel dans le groupe recevant une rachianesthésie.

Role of Breast-Conserving Surgery on the National Health System Economy From and to SARS-COVID-19 Era.

Day surgery breast-conserving surgery (DS-BCS) is a surgical approach applied in many specialized breast surgery departments. This study demonstrates the benefits of this approach from the perspectives of patients and of the Hospital/National Health System compared to ordinary breast-conserving surgery (ORD-BCS) under general anesthetic. A comparison of costs and diagnosis-related group (DRG) reimbursement demonstrated improved cost-effectiveness in DS-BCS compared to ORD-BCS.

Tsunami of economic turmoil to hit the healthcare in 2021-2022: COVID-19 pandemic is just an earthquake.

The COVID-19 pandemic caused the United States to hit record numbers of COVID-19 cases: peak unemployment of 14.7%, an increase in $4 trillion in national debt, and an estimated 3.4% GDP decline. The current socio-economic environment the pandemic created is just an earthquake that can create a tsunami that is bound to hit the healthcare system and can be felt around the globe. This tsunami is composed of a post-pandemic increase in healthcare facilities admission of indigent patients, decrease in medical reimbursement, and high operating costs to maintain healthcare workers, which can cause a synergistic effect that can lead to healthcare facilities experiencing significant negative total revenue. Time is of the essence, and it is imperative to make a collective effort from all healthcare professionals and legislatures to shift the nation's attention to the issue at hand that can threaten the closure of many healthcare facilities post-pandemic.