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Background: The assessment of antidepressant and anxiolytic consumption and expenditures represents a reliable barometer of the burden of such mental health disorders and the effectiveness of relative healthcare services.

Objectives: The current analysis aims to evaluate trajectories of consumption and expenditures of antidepressant and anxiolytic drugs to define patterns of usage and spending across 14 European countries between 2012 and 2021.

Methods: A retrospective longitudinal study was performed based on pooled time series secondary data analysis over 2012/2021. Defined Daily Doses (DDD) per 1000 inhabitants and health expenditure per capita were analysed. Linear and quadratic trends were computed to determine relationships between the variables of interest.

Results: Only 2 patterns of consumption/expenditure of antidepressants can be identified: consumption and expenditure both grow; consumption grows, and spending decreases. Consumption and expenditures registered 2 main patterns, decreasing in most European countries and increasing only in 2 cases.

Conclusion: Prevailing patterns of consumption and spending show an increase in antidepressants and a decrease in anxiolytics. The variation in consumption of such drugs during this timeframe is attributable to several reasons, such as the epidemiological characteristics of mental disease, for instance, the prevalence and incidence of disorders, the accessibility of drugs and alternative treatments, like psychotherapy, different clinical practices and national guidelines. However, such analyses deserve attention for targeted policies and strategies for promoting mental health.

Background: Despite the known benefits of cardiac rehabilitation (CR), the rate of participation is low following coronary artery bypass graft (CABG). The reasons for this lack of participation are unclear and there have been few studies investigating this, particularly in Asian countries. The present study aimed to address this lack of information and identify reasons for non-participation in phase-2 CR among patients who underwent CABG.

Methods: We enrolled 42 patients who underwent CABG or CABG combined with valvular heart surgery in a university hospital between October 2016 to September 2018. Patients who participated in phase-1 but not phase-2 CR were interviewed by phone following an 11-item questionnaire.

Results: The rate of participation in phase-2 CR was only 12.5%. The most frequently reported reason for non-participation was "Did not know that there was phase-2 CR" (61.9%), followed by "Transportation problems" (31%). "Unable to take leave due to work schedule" was fairly frequently reported (19%) as was "Did not participate due to chronic diseases and complications" (14.3%).

Conclusion: Our study revealed low participation in phase-2 CR, despite its well-known benefits. The primary reason identified was a lack of awareness and understanding among patients regarding phase-2 CR. This highlights the need for targeted interventions aimed at increasing knowledge and awareness of the benefits and availability of CR. Additionally, it is crucial to establish an efficient referral system that ensures seamless transitions from the initial cardiac treatment to the rehabilitation phase. Implementing these strategies is expected to boost CR participation, leading to improved patient outcomes and overall cardiac health.

Background: The Ghanaian elderly population is increasing at the fastest rate and this has become a burden as the rate is not proportional to the investment in health to meet their deteriorating health needs. This creates discrepancies and inequalities in healthcare access and coupled with poor healthcare provider services, the inequalities widen. Poor care services are related to poor knowledge and bad attitudes of care providers hence this study seeks to explore the health practitioners' level of knowledge, attitude, and practice (KAP) toward geriatric care.

Methods: The study used a cross-sectional survey design with a simple stratified random technique to select study participants. Out of 257 participants who were sampled for the study, 215 responses were received, representing 83.6% response rate. However, 200 questionnaires were complete (93%) and valid for analysis, which consisted of 166 nurses, representing 83% valid responses, and 34 medical officers, physician assistants, and other allied health care providers, representing 17% valid responses from these professionals. A structured questionnaire was used to assess KAP using the knowledge about Older Patients Quiz (KOP-Q) and Kogan's Attitudes toward Old People Scale (KAOP). Using a mean score of 80%, knowledge, attitude, and practice were dichotomized into good or bad. The Kruskal-Wallis H test was used to compare mean rank across health professionals' knowledge, attitude, and practice of geriatric care.

Results: It shows that the majority (94%) of participants have low levels of knowledge in geriatric care. The majority (84%) of participants do not practice good geriatric care. Differences in knowledge exist among health providers and were statistically significant (P = .045). Doctors had the lowest mean knowledge score (78.61). Nurses (100.27) and physician assistants (106.15) had moderate mean knowledge score ranks. Although not statistically significant, the rank order for practice scores from highest to lowest was: physician assistants (112.95), nurses (99.19), and doctors (79.21). There were however no statistically significant differences between professions in practice scores (P = .067), or attitude scores (P = .097).

Conclusion: Health care providers have low knowledge and, bad attitude toward aged care and this may be related to their service delivery which may affect the aged patronage of healthcare services. This is a wake-up call for authorities to organize continuous professional development to enable care providers to improve their service delivery.

Introduction: Cloud-based telemedicine holds promise for improving healthcare accessibility and delivery, particularly in rural areas of developing countries like Tanzania. However, little is known about its determinants and benefits in such contexts. This study investigates the factors influencing the usage of telemedicine in Mvomero district, Morogoro region, Tanzania, focusing on both supply and demand sides.

Method: Using structured interviews and key informant interviews, the study examines various cloud-based telemedicine platforms, including remote monitoring, electronic health records, cloud-based storage, and machine learning algorithms. The study used descriptive statistics to analyze quantitative data, while thematic analysis was used to analyze qualitative data.

Results: Results reveal several factors influencing telemedicine usage. On the demand side, perceived benefits (53.96%), technology cost (62.79%), legal practices (62.79%), and resource availability and affordability (49.77%) are crucial. On the supply side, technological innovation (35%) and access to financial resources (43%) play pivotal roles. Environmental and institutional factors such as political willingness (38%) and regulatory support (34%) also impact telemedicine usage. Moreover, results reveal that cloud-based telemedicine platforms in rural healthcare facilities have several benefits including improved access (32.74% to 57.44%), cost efficiency (37.88% to 54.82%), timely consultations (56.83% to 65.21%), health monitoring, and prescription management (43.89% to 75.90%). Private facilities particularly emphasize health monitoring.

Conclusion: Adopting telemedicine technologies can revolutionize rural healthcare by providing customized and easily accessible services. Policymakers can use these findings to develop targeted strategies, including subsidized infrastructure, innovative financing models, and clear regulatory frameworks. Clear guidelines on data transfer and privacy are essential to ensure legal compliance and equitable access to telemedicine benefits. Simplifying registration requirements and implementing explicit consent mechanisms are recommended to address data privacy concerns. These measures aim to promote operational efficiency, data safety, and enhanced health outcomes in resource-limited settings.

Background: Ambulatory blood pressure monitoring (ABPM) is considered the gold standard for proper diagnosis of hypertension. Yet, access to ABPM in the U.S. is limited, and the extent of coverage by commercial health plans remains uncertain, potentially limiting access to ABPM among commercially insured patients.

Objective: This study aims to assess the net cost impact of using ABPM in comparison to clinical blood pressure monitoring (CBPM) in the U.S. over a 5-year time period.

Design methods: Using a Markov Model, we estimate the 5-year cumulative cost impact of using ABPM to confirm a prior diagnosis of primary hypertension using CBPM to avoid treatment for white-coat hypertension (WCH) in a hypothetical cohort of 1000 patients from a U.S. healthcare system perspective. The probability and cost inputs for the model were derived from available literature. Base-case model parameters were varied to account for different scenarios.

Results: Base-case results indicate using ABPM instead of CBPM over 5 years saves a total of $348,028, reflecting an average per-person-per-year (PPPY) cost saving of $70. In sensitivity analyses, almost all cases reveal ABPM as a cost-saving approach compared to CBPM, with cost savings reaching up to $228 PPPY in the highest hypertension treatment cost model. Regression results reveal that ABPM was cost-saving compared to CBPM if ABPM annual payment rates are $100 or less and annual hypertension treatment costs are ⩾$300.

Conclusion: The potential cost-savings of using ABPM instead of CBPM found in our simulation model underscores the need for confirmatory research using real-world data to support increased use of ABPM as the standard diagnostic approach for hypertension.

Aim of the study: Short stay processes are incentives to unburden chronically stressed healthcare systems. The aim of this study is to analyze financial implications of day admission (DAS) and outpatient strategies for colon resections in a prospective payment system (PPS) using Diagnosis Related Group (DRG) coding.

Methods: Consecutive patients undergoing left and right colonic resections between January 1, 2019 and December 31, 2020 were included. Medico-economic evaluations of the virtual outpatient and day admission surgery groups based on predefined criteria were compared to the identical group of patients who underwent surgery in the actual traditional inpatient setting. In a second step, postoperative complications of the virtual outpatient group were assessed. Cost-revenue analysis was performed using a micro-costing approach including direct medical costs.

Results: Overall (N = 257), 97 (37.7%) colectomies would have been potentially eligible for an outpatient strategy. The global costs of the actual inpatient strategy totaled USD 3 634 392 with a global revenue of USD 3 571 069, corresponding to a cost coverage rate of 98%. The result of the virtual DAS strategy would have been a net loss of USD 15 800 (coverage rate of 99%) due to 4 low length of stay outliers triggering a reimbursement reduction and preventing a positive net result of USD 16 208. The pilot reference outpatient case's revenue and cost amounted to respectively USD 7479 and USD 6911 (cost coverage of 108%).

Conclusion: From both any given hospital and healthcare system point of view, elective outpatient colectomy for selected patients is the most cost-saving option. However, in a prospective payment system implemented to avoid bad incentives, the latter can unintentionally disadvantage best performing hospitals and impede widespread adoption of high-value strategies.

Maternal health is a major public health concern in India. MMR of India has declined significantly but maternal health status has not much improved. The prevalence of anemia and low Body Mass Index (BMI) is more severe among the women belonging to the Scheduled Caste (SC) and Scheduled Tribe (ST) categories. In this paper, attempts have been made to examine the maternal health status and to identify the factors responsible for poor health status among SC and ST women. The study is purely based on secondary data taken from latest 3 rounds of NFHS (2005-6, 2015-16 & 2019-21). Multivariate analysis have been carried out using panel regression model to understand the impact of determinants on maternal healthcare. The study found that the SC and ST women are more prone to anemia than others (GENERAL category women). Maternal health status is mostly controlled by per capita health expenditure and health infrastructure variables like no. of hospitals and nurses, irrespective of social class. Thus poor maternal health status in India, especially among socially disadvantaged groups of society, have been major concern. The government should be more focused on existing policies related to maternal healthcare.

Objective: To identify and analyze antibiotics' prescription patterns and associated factors among terminally ill patients at a hospital in southern Peru.

Methodology: A cross-sectional analytical study was conducted on adult patients who died in Hospital III Daniel Alcides Carrion in Tacna, Peru, 2023. Data were collected from electronic medical records, focusing on antibiotic use during the last hospitalization. Univariate, bivariate, and multivariate analyses were performed using Poisson regression to adjust for potential confounders.

Results: The study included 239 patients with an average age of 76. Antibiotics were administered to 93.72% of patients, with 42.46% lacking an identified infectious focus. Ceftriaxone, Meropenem, and Vancomycin were the most used antibiotics. A lower use of antibiotics within 72 hours prior to death was associated with hospitalizations longer than 18 days and having 2 or more comorbidities.

Conclusion: The high prevalence of antibiotic use at the end of life, often without an infectious focus, suggests a need for better guidelines and education on palliative care to avoid inappropriate antibiotic prescribing. Improved communication between healthcare providers, patients, and families is essential for optimizing end-of-life care.

Introduction: Telemedicine is a growing segment of the healthcare industry. As telemedicine gains prominence in Japan, the importance of telemedicine patient satisfaction research will also grow. This study examines whether Japanese patients are equally impacted by the same latent dimensions discovered in the multi-dimensional service satisfaction model used by a United States (U.S.) study.

Methods: The subjects (n = 110) were patients who received telemedicine service between January and December 2023 at Juntendo University Hospital, Tokyo, Japan. Patient satisfaction perceptions were collected using a questionnaire composed of Likert scale items. Overall patient satisfaction served as the dependent variable, and patient perceptions of various aspects of the service were the independent variables. LASSO regression analysis was used to test the impact of the independent variables on overall patient satisfaction along with cluster analysis to examine the satisfaction ratings based upon patient characteristics.

Results: Japanese patient perceptions of telemedicine health benefits were the most impactful driver of overall satisfaction. Cluster analysis indicated that males were generally more satisfied than females. The least satisfied patients were predominately female and those experiencing telemedicine for the first time. Patients receiving service from a specialist physician were least satisfied with the telemedicine financial costs.

Discussion: Patient satisfaction levels were found to be highly impacted by perceptions of the health benefits received and the non-financial costs of service. These benefits could be highlighted by Japanese telemedicine providers to increase utilization of telemedicine services. Patient satisfaction was also found to be influenced by patient-centered care (ie, the "soft skills" of providers) to a lesser degree. Therefore, Japanese telemedicine providers may benefit from developing patient-centered communication skills.

Conclusion: The model used provides nuanced understandings of telemedicine patient satisfaction, which highlights where targeted improvements in Japanese telemedicine patient satisfaction are likely to be most impactful.

The cost of healthcare is an issue of concern for both consumers and funders of healthcare in South Africa. The country spends approximately 8% of GDP on health care. Health care is financed through the public sector which covers 86% of the population and the private sector which covers 14% of the population. Medical schemes are the main source of healthcare financing in the private sector. Services covered by medical schemes include chronic diseases, emergencies, diagnosis, and treatment of a selected number of diseases. Primary health care services such as screening are limited. The aim of this study was to assess factors associated with members of medical schemes' willingness to pay for a primary health care package in the private sector. A cross-sectional survey was conducted amongst principal members of medical schemes between July and September 2020. All principal members with access to an online questionnaire were eligible to participate in this study. Logistic regression was used to identify factors associated with willingness to pay for primary health care services. A total of 6512 members of medical schemes participated in the study. Thirty-five percent of the participants were willing to pay for the primary health care package. Factors influencing willingness to pay included marital status, employment status, income and household size. The study highlights the need for policymakers to consider socioeconomic factors when designing health care policies.