Parental Knowledge Toward Meningococcal Disease and Vaccination in Makkah Region, Saudi Arabia: A Cross-Sectional Study.

Background Invasive meningococcal disease (IMD) is a bacterial infection caused by Neisseria meningitidis, which primarily affects the meninges, with a high incidence in young children. The most effective technique for preventing IMD is vaccination, which has been available for over 40 years through meningococcal polysaccharide capsule-containing vaccines. This study aims to assess the parental knowledge of meningococcal disease and vaccination in the Makkah region of Saudi Arabia. Methodology A cross-sectional study was conducted between September and December 2023 among 597 parents in the Makkah region using a validated online survey. The collected data were analyzed using the Statistical Package for the Social Sciences (SPSS). Results The study sample included 597 parents, of which 339 (56.8%) were female and 258 (43.2%) were male. Our research demonstrated that 388 (65%) participants had an insufficient understanding of IMD, while 209 (35%) had a sufficient understanding. There was a significant correlation between the knowledge score and the completion of the routine vaccination and whether vaccinating a child is essential for the protection of other members of society. Conclusions Based on our study, only around one-third of the participants demonstrated a sufficient level of knowledge regarding IMD and its vaccination. To provide a more accurate assessment of the Saudi population, additional research should be conducted in various regions and cities.

Supply-side factors influencing demand for facility-based delivery in Tanzania: a multilevel analysis.

BACKGROUND: Improving access to facility-based delivery care has the potential to reduce maternal and newborn deaths across settings. Yet, the access to a health facility for childbirth remains low especially in low-income settings. To inform evidence-based interventions, more evidence is needed especially accounting for demand- and supply-side factors influencing access to facility-based delivery care. We aimed to fill this knowledge gap using data from Tanzania. METHODS: We used data from a cross-sectional survey (conducted in January 2012) of 150 health facilities, 1494 patients and 2846 households with women who had given births in the last 12 months before the survey across 11 districts in three regions in Tanzania. The main outcome was the place of delivery (giving birth in a health facility or otherwise), while explanatory variables were measured at the individual woman and facility level. Given the hierarchical structure of the data and variance in demand across facilities, we used a multilevel mixed-effect logistic regression to explore the determinants of facility-based delivery care. RESULTS: Eighty-six percent of 2846 women gave birth in a health facility. Demand for facility-based delivery care was influenced more by demand-side factors (76%) than supply-side factors (24%). On demand-side factors, facility births were more common among women who were educated, Muslim, wealthier, with their first childbirth, and those who had at least four antenatal care visits. On supply-side factors, facility births were more common in facilities offering outreach services, longer consultation times and higher interpersonal quality. In contrast, facilities with longer average waiting times, longer travel times and higher chances of charging delivery fees had few facility births. CONCLUSIONS: Policy responses should aim for strategies to improve demand like health education to raise awareness towards care seeking among less educated groups and those with higher parity, reduce financial barriers to access (including time costs to reach and access care), and policy interventions to enhance interpersonal quality in service provision.

A procurement-based classification of pharmaceutical supplies for diabetes disease management.

Background and Aims: Diabetes is among the most prevalent noncommunicable chronic diseases globally and carries a substantial expense in worldwide health care. Pharmaceutical supplies related to diabetes management account for 20%-40% of the disease's management cos, and this percentage continues to increase. This study examines the pharmaceutical expenses associated with one of the most common chronic diseases: diabetes. Specifically, we measure the extent to which patient health and demographic factors drive the annual cost of pharmaceutical supplies for diabetes management. Second, the study applied a procurement-centric classification scheme to pharmaceutical items involved in diabetes treatment. Methods: Data on 98,648 pharmaceutical-dispensing transactions (related to 2828 patients) over 1 year were collected from a specialized diabetes health center. Pharmaceutical prices from the sample were compared internationally to ensure that the findings apply to other countries. The association between the item cost and the number of unique patients prescribed pharmaceutical products was estimated at the category and subcategory levels. Results: Approximately 80% of total pharmaceutical expenditures were attributed to 20% of patients. Two of 20 pharmaceutical categories-anti-diabetes drugs and insulin-accounted for 34% of products dispensed and 57% of total pharmaceutical expenditures. Age, body mass index, and diabetes type were essential factors in predicting supply cost per patient. Conclusion: Applying the portfolio purchasing model also suggested that some clinically similar items, like insulin types, are best procured through divergent procurement strategies or vendors for optimal cost efficiency. A better understanding of the diverse array of diabetes supplies can reveal opportunities for better strategic supply management. This supply classification approach can also be applied in other supply-intensive specialties, such as orthopedics.

Noncommunicable Diseases and Hospital Utilization in Kuwait: A Generalizable Approach Using the World Health Survey.

BACKGROUND: Kuwait and countries in the Arabian Gulf region face an alarming prevalence of noncommunicable diseases (NCDs) that strain their health systems and threaten their economies. To quantify a key dimension of the burden, we estimated the risk of hospital utilization in Kuwait associated with diagnoses of the most prevalent NCDs, excluding cancer, using a generalizable approach suitable for cross-country disease burden comparisons and assessments of prevention effectiveness. METHODS: The study analyzed responses from a nationally representative sample of 2,165 individuals with self-reported hospital admissions over 12 months and NCD diagnoses from the World Health Survey in Kuwait in 2010. Hospital utilization rates were examined for individuals diagnosed with hypertension, diabetes mellitus, asthma, chronic lung condition, heart disease, and stroke rates and adjusted for demographic and socioeconomic factors. Count regressions were used to estimate the association between individual NCDs while adjusting for other covariates. RESULTS: Using negative binomial regressions, we found that hypertension, the most common NCD in Kuwait, was associated with 75% higher hospital utilization. In addition, heart disease was associated with a 495% increase in hospital utilization rates after adjusting for potential confounders. Many other demographic, socioeconomic, and behavioral characteristics confounded the sizable increase in the risk of hospital admissions associated with NCDs. CONCLUSIONS: We estimated the substantial burden on curative services associated with NCDs in Kuwait through a standardized approach to compare hospital utilization rates associated with various NCDs; this approach is generalizable to more than 70 countries that participated in the World Health Survey.

Disparities in expected driving time to opioid treatment and treatment completion: findings from an exploratory study.

BACKGROUND: Commuting time to treatment has been shown to affect healthcare outcomes such as engagement and initiation. The purpose of this study is to extend this line of research to investigate the effects of driving time to opioid programs on treatment outcomes. METHODS: We analyzed discharge survey data from 22,587 outpatient opioid use disorder treatment episodes (mainly methadone) in Los Angeles County and estimated the associated driving time to each episode using Google Maps. We used multivariable logistic regressions to examine the association between estimated driving time and odds of treatment completion after adjusting for possible confounders. RESULTS: Findings show an average driving time of 11.32 min and an average distance of 11.18 km. We observed differences in estimated driving time across age, gender, and socioeconomic status. Young, male, less formally educated, and Medi-Cal-ineligible clients drove longer to treatment. A 10-min drive was associated with a 33% reduction in the completion of methadone treatment plans (p < .01). CONCLUSION: This systemwide analysis provides novel time estimates of driving-based experiences and a strong relationship with completion rates in methadone treatment. Specifically, the result showing reduced treatment completion rates for drive times longer than 10 min may inform policies regarding the ideal geographic placement of methadone-based treatment programs and service expansion initiatives.

Return to driving post stroke; patients' perspectives and challenges in Saudi Arabia.

BACKGROUND: Returning to driving remains one of the most important goals for stroke survivors. In Saudi Arabia, there are no structured processes to address the issue of return to driving in individuals with disabilities. There are increasing rates of strokes in the country and road traffic accidents are the highest in the region. Returning to driving among male stroke survivors in Saudi Arabia is of particular importance due to socio-economic and cultural reasons. AIMS: The study aims to explore the factors involved in return to driving among stroke survivors in Saudi population. METHODS: This cross-sectional study was carried out on 100 male stroke survivors who had completed an inpatient rehabilitation program and had at least one follow-up assessment three months post-discharge. Information was collected regarding demographics, stroke characteristics, and factors related to pre and post-stroke driving. Data were analyzed using SPSS. RESULTS: Majority (60%) of patients were 51 years of age and above. Most commonly reported stroke impairments were weakness and spasticity with majority of participants having right-sided body involvement. Out of 94 stroke survivors who were driving prior to stroke, only 7 resumed driving. None of the stroke survivors who returned to driving reported receiving any formal driving assessment. Only one patient who reported being aware of the need of driving assessment did not resume driving after stroke. CONCLUSIONS: There is a dire need to increase awareness and to develop a structured integrated system in Saudi Arabia to facilitate stroke survivors to return to driving.

Towards value-based healthcare: Establishing baseline pharmacy care costs for diabetes management.

The prevalence of diabetes has increased by three folds over the last 20 years, and the global cost of diabetes mellitus surpassed one trillion US Dollars (USD) or 1.8% of the global GDP in 2015. Generally, prescription medication to treat complications of diabetes makes up nearly 30% of diabetes medical expenditures. To facilitate value-based decision-making at national and organizational levels, we analyzed the cost drivers of pharmacy services in a diabetes care institute by developing a flexible costing model that accounts for pharmaceuticals and labour costs of pharmacy processes. We calculated the direct pharmaceutical costs and the indirect labour costs at the activity level from electronic health records and observational data. On average, the cost of pharmacy services over 1 year was equivalent to 1246 USD per diabetes patient. Approximately 98% of the pharmacy costs were pharmaceutical costs, while 2% were attributable to labour. The flexible costing model and cost estimates are essential for value-based comparisons of interventions and care redesign. The outlined costing framework and findings carry implications nationally and organizationally to accelerate the path towards value-based healthcare delivery and provider reimbursement schemes through agile cost estimation, efficiency improvements, and higher value of care.

The effect of structured diabetes self-management education on type 2 diabetes patients attending a Primary Health Center in Kuwait.

AIM: To evaluate the impact of diabetes self-management education (DSME) on diabetes control measured by glycated hemoglobin (HbA1c) in nationals and expatriates with type 2 diabetes mellitus (T2DM) in Kuwait. METHOD: A total of 291 patients with T2DM (intervention = 150, control = 141) were assessed in a single-center, controlled study to compare the impact of DSME sessions on HbA1c levels as a measure of metabolic control of diabetes mellitus. Measurements of HbA1c were taken at baseline, 6-months, and 12-months. Multiple explorative association tests and regression models were constructed to examine the intervention effects. RESULTS: Patients that received DSME sessions demonstrated better diabetes control with an average reduction of 1.3% (14 mmol/mol) HbA1c over 12-months compared to an average HbA1c increase of 1.1% (12 mmol/mol) in the control group (p < 0.001). Using pairwise comparisons, young, male, and expatriate patients and patients with HbA1c above 7% demonstrated the highest improvements in HbA1c with DSME sessions. In multivariate regressions, DSME intervention was associated with a 1.7% (18 mmol/mol) HbA1c reduction indicating better control of diabetes (p < 0.001). CONCLUSION: DSME sessions were associated with better glycemic control in patients with T2DM over 12 months. This study establishes the effectiveness of DSME sessions for both Kuwaiti nationals and expatriates, which represent a significant portion of the population in Kuwait and the Arabian Gulf region. The favorable impact of DSME suggests a promising cost-effective approach to reduce the risk of complication associationed with diabetes suitable for the unique demographic characteristics in the region.

Stability in a large drug treatment system: Examining the role of program size and performance on service discontinuation.

BACKGROUND: Little is known about the stability of public drug treatment in the United States to deliver services in an era of expansion of public insurance. Guided by organizational theories, we examined the role of program size, and performance (i.e., rates of treatment initiation and engagement) on discontinuing services in one of the largest treatment systems in the United States. METHODS: This study relied on multi-year (2006-2014) administrative data of 249,029 treatment admission episodes from 482 treatment programs in Los Angeles County, CA. We relied on survival regression analysis to identify associations between program size, treatment initiation (wait time) and engagement (retention and completion rates) and discontinuing services in any given year. We examined program differences between discontinued versus sustained services in pre- and post-expansion periods. RESULTS: Sixty-two percent of programs discontinued services at some point between 2006 and 2014. Program size and rates of treatment retention were negatively associated with risk of discontinuing services. Proportion of female clients was also negatively associated with risk of discontinuing services. Compared to residential programs, methadone programs were associated with reduced likelihood of discontinuing services. Two interactions were significant; program size and retention rates, as well as program size and completion rates were negatively associated with risk of discontinuing services. CONCLUSIONS: Program size (large), type (methadone), performance (retention) and client population (women) were associated with stability in this drug treatment system. Because more than 70% of programs in this system are small, it is critical to support their capacity to sustain services to reduce existing disparities in access to care. We discuss the implications of these findings for system evaluation and for responding to public health crises.

Modelling competition in health care markets as a complex adaptive system: an agent-based framework.

Health market reforms necessitate continuous re-evaluation of initiatives, competitive regulations, and antitrust policies. Synergistic implications, evolution, and behaviour changes associated with the market competition are often overlooked due to methodological limitations. To rectify these limitations, parallels between defining features of health care markets (HCM) and complex adaptive systems (CAS) are drawn. The science of CAS develops complex system-level models of dynamic interactions to allow insights for heterogeneous agents and emergent behaviours. Agent-based modelling (ABM) is a computational tool of CAS science suitable for investigating competition in HCM. The proposed agent-based framework conceptualises agents, environment, and interactions, and formalises agent-specific attributes and modules that achieve agent roles to recreate HCM dynamics. The framework conceptualises competition in HCM into an implementable ABM for a CAS assessment, identifies data sources, and develops face-validity procedures. Developments in data, computational power, and decisions theory compel CAS approach to complement studies on pressing HCM issues.

An agent-based simulation model of patient choice of health care providers in accountable care organizations.

Accountable care organizations (ACO) in the United States show promise in controlling health care costs while preserving patients' choice of providers. Understanding the effects of patient choice is critical in novel payment and delivery models like ACO that depend on continuity of care and accountability. The financial, utilization, and behavioral implications associated with a patient's decision to forego local health care providers for more distant ones to access higher quality care remain unknown. To study this question, we used an agent-based simulation model of a health care market composed of providers able to form ACO serving patients and embedded it in a conditional logit decision model to examine patients capable of choosing their care providers. This simulation focuses on Medicare beneficiaries and their congestive heart failure (CHF) outcomes. We place the patient agents in an ACO delivery system model in which provider agents decide if they remain in an ACO and perform a quality improving CHF disease management intervention. Illustrative results show that allowing patients to choose their providers reduces the yearly payment per CHF patient by $320, reduces mortality rates by 0.12 percentage points and hospitalization rates by 0.44 percentage points, and marginally increases provider participation in ACO. This study demonstrates a model capable of quantifying the effects of patient choice in a theoretical ACO system and provides a potential tool for policymakers to understand implications of patient choice and assess potential policy controls.