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1.
JMIR Public Health Surveill ; 10: e45837, 2024 May 07.
Article En | MEDLINE | ID: mdl-38713494

BACKGROUND: Health literacy involves individuals' knowledge, personal skills, and confidence to take action to evaluate and appraise health-related information and improve their health or that of their community. OBJECTIVE: This study aimed to analyze the association between health literacy and attitude toward vaccines, adjusted with other factors. METHODS: We used the SLAVACO Wave 3, a survey conducted in December 2021 among a sample of 2022 individuals, representative of the French adult population. We investigated factors associated with the attitude toward vaccines using respondents' different sociodemographic data, health literacy levels, and the health care system confidence levels using a multinomial logistic regression analysis. RESULTS: Among the participants, 440.4 (21.8%) were classified as "distrustful of vaccines in general," 729.2 (36.1%) were "selectively hesitant," and 852.4 (42.2%) were "nonhesitant." In our model, the level of health literacy was not statistically different between the "distrustful of vaccines in general" and the "selectively hesitant" (P=.48), but it was associated with being a "nonhesitant" (adjusted odds ratio [aOR] 1.86, 95% CI 1.25-2.76). The confidence in the health care system was a strong predictor for a "nonhesitant" attitude toward vaccines (aOR 12.4, 95% CI 7.97-19.2). We found a positive correlation of 0.34 (P<.001) between health literacy and confidence in the health care system, but the interaction term between health literacy and health care system confidence was not significant in our model. CONCLUSIONS: Health literacy was associated with a "nonhesitant" attitude toward vaccines. The findings demonstrated that health literacy and confidence in the health care system are modestly correlated. Therefore, to tackle the subject of vaccine hesitancy, the main focus should be on increasing the population's confidence and on increasing their health literacy levels or providing vaccine information addressing the needs of less literate citizens.


Health Literacy , Humans , Health Literacy/statistics & numerical data , Female , Cross-Sectional Studies , Male , Adult , France , Middle Aged , Surveys and Questionnaires , Adolescent , Young Adult , Aged , Health Knowledge, Attitudes, Practice , Delivery of Health Care/statistics & numerical data , Vaccines/administration & dosage
2.
HIV Res Clin Pract ; 25(1): 2355763, 2024 May 14.
Article En | MEDLINE | ID: mdl-38767993

The COVID-19 pandemic has significantly impacted HIV treatment worldwide, but its effects on South and Southeast Asia, particularly in India, Indonesia, and Thailand, have been less evident. Our aim was to study the perceptions of providers and policymakers to understand how interventions were implemented as part of pandemic responses and how their effectiveness was viewed. We conducted a qualitative study with semi-structured interviews focusing on the shifts in HIV care in response to the pandemic. Between June and July 2021, 40 individuals were invited for interviews; 33 (83%) agreed. Participants included 25 (76%) providers and 8 (24%) policymakers, who were from India (10; 30%), Indonesia (10; 30%), and Thailand (10; 30%), along with 3 (9.1%) regional policymakers. Sixteen (48%) were female. Our findings revealed four major themes: (1) limitations in accessing HIV care due to movement restrictions and shutdowns, such as transportation issues; (2) diversion of healthcare resources away from HIV care to COVID-19 responses, leading to reallocation of providers and hospital space; (3) setbacks in HIV-related policy implementation as COVID-19 emergency responses took priority; (4) the expansion of HIV differentiated service delivery interventions, allowing longer gaps between visits and larger-volume prescription refills to delay returns to healthcare facilities. These changes have raised concerns about the long-term consequences on HIV epidemic control and future pandemic responses. However, they have also presented opportunities for innovative care delivery, which should be sustained to address these challenges effectively.


COVID-19 , Delivery of Health Care , HIV Infections , Qualitative Research , SARS-CoV-2 , Humans , HIV Infections/drug therapy , HIV Infections/epidemiology , COVID-19/epidemiology , Female , Male , Delivery of Health Care/statistics & numerical data , Asia, Southeastern/epidemiology , Health Services Accessibility/statistics & numerical data , Thailand/epidemiology , Adult , India/epidemiology , Indonesia/epidemiology
3.
Front Public Health ; 12: 1271028, 2024.
Article En | MEDLINE | ID: mdl-38645448

Background: The war that started on November 4, 2020, in the Tigray region of Northern Ethiopia severely affected the health sector. However, there is no available evidence to suggest the economic damage caused to the public health system because of war-related looting or vandalism. This study was aimed at estimating the cost of war-related looting or vandalism in Tigray's public health system in Northern Ethiopia in 2021. Methods: A provider perspective, a mixed costing method, a retrospective cross-sectional approach, a 50% inflation rate, and a 50 Ethiopian birr equivalent to one United States dollar ($) for the money value were used. The data were analyzed using Microsoft Excel, taking into consideration the Sendai framework indicators. Results: The total economic cost of the war-related looting or vandalism in monetary terms was more than $3.78 billion, and the damage to the economic value in monetary terms was more than $2.31 billion. Meanwhile, the direct economic loss to the health system in monetary terms was more than $511 million. According to this assessment, 514 (80.6%) health posts, 153 (73.6%) health centers, 16 (80%) primary hospitals, 10 (83.3%) general hospitals, and 2 (100%) specialized hospitals were damaged and/or vandalized either fully or partially due to the war. Conclusion: This war seriously affected the public health sector in the Tigray region. The Federal Government of Ethiopia, the Ministry of Health of Ethiopia, the Tigrayan Government, the Tigray Regional Health Bureau, and the international community must make efforts to find resources for the revitalization of the damaged, plundered, and vandalized healthcare system.


Armed Conflicts , Health Services , Health Services/economics , Health Services/statistics & numerical data , Armed Conflicts/statistics & numerical data , Delivery of Health Care/economics , Delivery of Health Care/statistics & numerical data , Costs and Cost Analysis
4.
Front Public Health ; 12: 1326272, 2024.
Article En | MEDLINE | ID: mdl-38680927

Introduction: The hierarchical healthcare delivery system is an important measure to improve the allocation of medical resources and promote equitable distribution of basic medical and health services. It is one of the key factors in the success or failure of China's medical reform. This study aims to analyze the factors influencing patients' healthcare-seeking behaviors, including socioeconomic and clinical outcomes, under China's hierarchical healthcare delivery system, and to provide potential solutions. Methods: Patients receiving outpatient treatment in the past 14 days and inpatient care in the past 1 year were investigated. The multivariate logistic regression was used to analyze the influencing factors of patient's medical treatment behavior selection, and to compare whether the clinical outcomes of primary medical institutions and grade A hospitals are the same. Results: Nine thousand and ninety-eight person-times were included in the study. Of these, 4,538 patients were outpatients, 68.27% of patients were treated in primary medical institutions; 4,560 patients were hospitalized, 58.53% chose to be hospitalized in grade A hospitals. Provinces and cities, urban and rural areas, occupation, education level, medical insurance type, income, whether there are comorbid diseases, and doctors' medical behavior are the factors affecting the choice of medical treatment behavior. Patients who choose primary medical institutions and grade A hospitals have different control levels and control rate for the blood pressure, blood lipids, blood glucose. Conclusion: Under the hierarchical diagnosis and treatment system, the patients' choice of hospital is mainly affected by their level of education, medical insurance types, and the inpatients are also affected by whether there are comorbid conditions. Clinical outcomes of choosing different levels of hospitals were different.


Delivery of Health Care , Patient Acceptance of Health Care , Humans , China , Female , Male , Middle Aged , Patient Acceptance of Health Care/statistics & numerical data , Adult , Delivery of Health Care/statistics & numerical data , Aged , Socioeconomic Factors , Adolescent , Young Adult , Logistic Models
5.
JAMA ; 331(16): 1387-1396, 2024 04 23.
Article En | MEDLINE | ID: mdl-38536161

Importance: Medicare's Hospital Value-Based Purchasing (HVBP) program will provide a health equity adjustment (HEA) to hospitals that have greater proportions of patients dually eligible for Medicare and Medicaid and that offer high-quality care beginning in fiscal year 2026. However, which hospitals will benefit most from this policy change and to what extent are unknown. Objective: To estimate potential changes in hospital performance after HEA and examine hospital patient mix, structural, and geographic characteristics associated with receipt of increased payments. Design, Setting, and Participants: This cross-sectional study analyzed all 2676 hospitals participating in the HVBP program in fiscal year 2021. Publicly available data on program performance and hospital characteristics were linked to Medicare claims data on all inpatient stays for dual-eligible beneficiaries at each hospital to calculate HEA points and HVBP payment adjustments. Exposures: Hospital Value-Based Purchasing program HEA. Main Outcomes and Measures: Reclassification of HVBP bonus or penalty status and changes in payment adjustments across hospital characteristics. Results: Of 2676 hospitals participating in the HVBP program in fiscal year 2021, 1470 (54.9%) received bonuses and 1206 (45.1%) received penalties. After HEA, 102 hospitals (6.9%) were reclassified from bonus to penalty status, whereas 119 (9.9%) were reclassified from penalty to bonus status. At the hospital level, mean (SD) HVBP payment adjustments decreased by $4534 ($90 033) after HEA, ranging from a maximum reduction of $1 014 276 to a maximum increase of $1 523 765. At the aggregate level, net-positive changes in payment adjustments were largest among safety net hospitals ($28 971 708) and those caring for a higher proportion of Black patients ($15 468 445). The likelihood of experiencing increases in payment adjustments was significantly higher among safety net compared with non-safety net hospitals (574 of 683 [84.0%] vs 709 of 1993 [35.6%]; adjusted rate ratio [ARR], 2.04 [95% CI, 1.89-2.20]) and high-proportion Black hospitals compared with non-high-proportion Black hospitals (396 of 523 [75.7%] vs 887 of 2153 [41.2%]; ARR, 1.40 [95% CI, 1.29-1.51]). Rural hospitals (374 of 612 [61.1%] vs 909 of 2064 [44.0%]; ARR, 1.44 [95% CI, 1.30-1.58]), as well as those located in the South (598 of 1040 [57.5%] vs 192 of 439 [43.7%]; ARR, 1.25 [95% CI, 1.10-1.42]) and in Medicaid expansion states (801 of 1651 [48.5%] vs 482 of 1025 [47.0%]; ARR, 1.16 [95% CI, 1.06-1.28]), were also more likely to experience increased payment adjustments after HEA compared with their urban, Northeastern, and Medicaid nonexpansion state counterparts, respectively. Conclusions and Relevance: Medicare's implementation of HEA in the HVBP program will significantly reclassify hospital performance and redistribute program payments, with safety net and high-proportion Black hospitals benefiting most from this policy change. These findings suggest that HEA is an important strategy to ensure that value-based payment programs are more equitable.


Delivery of Health Care , Economics, Hospital , Health Equity , Medicare , Value-Based Purchasing , Humans , Cross-Sectional Studies , Diagnosis-Related Groups/economics , Diagnosis-Related Groups/statistics & numerical data , Dual MEDICAID MEDICARE Eligibility , Economics, Hospital/statistics & numerical data , Health Equity/economics , Health Equity/statistics & numerical data , Hospitals/statistics & numerical data , Medicare/economics , Medicare/statistics & numerical data , Quality of Health Care/economics , Quality of Health Care/statistics & numerical data , United States/epidemiology , Value-Based Purchasing/economics , Value-Based Purchasing/statistics & numerical data , Black or African American/statistics & numerical data , Safety-net Providers/economics , Safety-net Providers/ethnology , Safety-net Providers/statistics & numerical data , Rural Population , Delivery of Health Care/economics , Delivery of Health Care/ethnology , Delivery of Health Care/statistics & numerical data
7.
Prim Care Diabetes ; 18(1): 104-107, 2024 02.
Article En | MEDLINE | ID: mdl-37951724

The epidemic of type-2 diabetes in First Nations communities is tragic. Culturally-appropriate approaches addressing multiple components, focusing beyond glycemic control, are urgently needed. Using an intention-to-treat framework, 13 processes of care indicators were assessed to compare proportions of patients who received care at baseline relative to 2-year follow-up. Clinical improvements were demonstrated across major process of care indicators (e.g. screening, education, and vaccination activities). We found RADAR improved reporting for most diabetes processes of care across seven FN communities and was effective in supporting diabetes care for FN communities, in Alberta Canada.


Delivery of Health Care , Diabetes Mellitus, Type 2 , Indigenous Canadians , Humans , Alberta/epidemiology , Canada/epidemiology , Diabetes Mellitus, Type 2/diagnosis , Diabetes Mellitus, Type 2/epidemiology , Diabetes Mellitus, Type 2/therapy , Indians, North American , Indigenous Canadians/statistics & numerical data , Delivery of Health Care/ethnology , Delivery of Health Care/standards , Delivery of Health Care/statistics & numerical data
8.
BMJ Open ; 13(11): e075480, 2023 11 27.
Article En | MEDLINE | ID: mdl-38011969

PURPOSE: Patient-reported outcome measures (PROMs) are useful for trauma registries interested in monitoring patient outcomes and trauma care quality. PROMs had not previously been collected by the New Zealand Trauma Registry (NZTR). More than 2500 New Zealanders are admitted to hospital for major trauma annually. The Trauma Outcomes Project (TOP) collected PROMs postinjury from three of New Zealand's (NZ's) major trauma regions. This cohort profile paper aims to provide a thorough description of preinjury and 6 month postinjury characteristics of the TOP cohort, including specifically for Maori (Indigenous population in Aotearoa me Te Waipounamu/NZ). PARTICIPANTS: Between July 2019 and June 2020, 2533 NZ trauma patients were admitted to one of 22 hospitals nationwide for major trauma and included on the NZTR. TOP invited trauma patients (aged ≥16 years) to be interviewed from three regions; one region (Midlands) declined to participate. Interviews included questions about health-related quality of life, disability, injury recovery, healthcare access and household income adequacy. FINDINGS TO DATE: TOP recruited 870 participants, including 119 Maori. At 6 months postinjury, most (85%) reported that the injury still affected them, 88% reported problems with≥1 of five EQ-5D-5L dimensions (eg, 75% reported problems with pain or discomfort, 71% reported problems with usual activities and 52% reported problems with mobility). Considerable disability (World Health Organization Disability Assessment Schedule, WHODAS II, score ≥10) was reported by 45% of participants. The prevalence of disability among Maori participants was 53%; for non-Maori it was 44%. Over a quarter of participants (28%) reported trouble accessing healthcare services for their injury. Participation in paid work decreased from 63% preinjury to 45% 6 months postinjury. FUTURE PLANS: The 12 and 24 month postinjury data collection has recently been completed; analyses of 12 month outcomes are underway. There is potential for longer-term follow-up interviews with the existing cohort in future. TOP findings are intended to inform the National Trauma Network's quality improvement processes. TOP will identify key aspects that aid in improving postinjury outcomes for people experiencing serious injury, including importantly for Maori.


Delivery of Health Care , Maori People , Quality of Life , Wounds and Injuries , Humans , Hospitalization/statistics & numerical data , Maori People/statistics & numerical data , New Zealand/epidemiology , Prospective Studies , Wounds and Injuries/epidemiology , Wounds and Injuries/ethnology , Wounds and Injuries/therapy , Patient Reported Outcome Measures , Adolescent , Adult , Young Adult , Delivery of Health Care/economics , Delivery of Health Care/ethnology , Delivery of Health Care/statistics & numerical data
12.
JAMA Intern Med ; 183(11): 1229-1237, 2023 11 01.
Article En | MEDLINE | ID: mdl-37747721

Importance: Recent studies have demonstrated that people of color are more likely to be restrained in emergency department (ED) settings compared with other patients, but many of these studies are based at a single site or health care system, limiting their generalizability. Objective: To synthesize existing literature on risk of physical restraint use in adult EDs, specifically in reference to patients of different racial and ethnic backgrounds. Data Sources: A systematic search of PubMed, Embase, Web of Science, and CINAHL was performed from database inception to February 8, 2022. Study Selection: Included peer-reviewed studies met 3 criteria: (1) published in English, (2) original human participants research performed in an adult ED, and (3) reported an outcome of physical restraint use by patient race or ethnicity. Studies were excluded if they were conducted outside of the US, or if full text was unavailable. Data Extraction and Synthesis: Four independent reviewers (V.E., M.M., D.D., and A.H.) abstracted data from selected articles following Meta-Analysis of Observational Studies in Epidemiology guidelines. A modified Newcastle-Ottawa scale was used to assess quality. A meta-analysis of restraint outcomes among minoritized racial and ethnic groups was performed using a random-effects model in 2022. Main Outcome(s) and Measure(s): Risk of physical restraint use in adult ED patients by racial and ethnic background. Results: The search yielded 1597 articles, of which 10 met inclusion criteria (0.63%). These studies represented 2 557 983 patient encounters and 24 030 events of physical restraint (0.94%). In the meta-analysis, Black patients were more likely to be restrained compared with White patients (RR, 1.31; 95% CI, 1.19-1.43) and to all non-Black patients (RR, 1.27; 95% CI, 1.23-1.31). With respect to ethnicity, Hispanic patients were less likely to be restrained compared with non-Hispanic patients (RR, 0.85; 95% CI, 0.81-0.89). Conclusions and Relevance: Physical restraint was uncommon, occurring in less than 1% of encounters, but adult Black patients experienced a significantly higher risk of physical restraint in ED settings compared with other racial groups. Hispanic patients were less likely to be restrained compared with non-Hispanic patients, though this observation may have occurred if Black patients, with a higher risk of restraint, were included in the non-Hispanic group. Further work, including qualitative studies, to explore and address mechanisms of racism at the interpersonal, institutional, and structural levels are needed.


Delivery of Health Care , Emergency Service, Hospital , Healthcare Disparities , Restraint, Physical , Adult , Humans , Black or African American/statistics & numerical data , Delivery of Health Care/ethnology , Delivery of Health Care/statistics & numerical data , Emergency Service, Hospital/statistics & numerical data , Ethnicity/statistics & numerical data , Hispanic or Latino/statistics & numerical data , Restraint, Physical/statistics & numerical data , White/statistics & numerical data , Healthcare Disparities/ethnology
13.
BMC Med Inform Decis Mak ; 23(1): 191, 2023 09 25.
Article En | MEDLINE | ID: mdl-37749542

BACKGROUND: For optimal health, the maternal, newborn, and child healthcare (MNCH) continuum necessitates that the mother/child receive the full package of antenatal, intrapartum, and postnatal care. In sub-Saharan Africa, dropping out from the MNCH continuum remains a challenge. Using machine learning, the study sought to forecast the MNCH continuum drop out and determine important predictors in three East African Community (EAC) countries. METHODS: The study utilised Demographic Health Surveys data from the Democratic Republic of Congo (DRC) (2013/14), Kenya (2014) and Tanzania (2015/16). STATA 17 was used to perform the multivariate logistic regression. Python 3.0 was used to build five machine learning classification models namely the Logistic Regression, Random Forest, Decision Tree, Support Vector Machine and Artificial Neural Network. Performance of the models was assessed using Accuracy, Precision, Recall, Specificity, F1 score and area under the Receiver Operating Characteristics (AUROC). RESULTS: The prevalence of the drop out from the MNCH continuum was 91.0% in the DRC, 72.4% in Kenya and 93.6% in Tanzania. Living in the rural areas significantly increased the odds of dropping out from the MNCH continuum in the DRC (AOR:1.76;95%CI:1.30-2.38), Kenya (AOR:1.23;95%CI:1.03-1.47) and Tanzania (AOR:1.41;95%CI:1.01-1.97). Lower maternal education also conferred a significant increase in the DRC (AOR:2.16;95%CI:1.67-2.79), Kenya (AOR:1.56;95%CI:1.30-1.84) and Tanzania (AOR:1.70;95%CI:1.24-2.34). Non exposure to mass media also conferred a significant positive influence in the DRC (AOR:1.49;95%CI:1.15-1.95), Kenya (AOR:1.46;95%CI:1.19-1.80) and Tanzania (AOR:1.65;95%CI:1.13-2.40). The Random Forest exhibited superior predictive accuracy (Accuracy = 75.7%, Precision = 79.1%, Recall = 92.1%, Specificity = 51.6%, F1 score = 85.1%, AUROC = 70%). The top four predictors with the greatest influence were household wealth, place of residence, maternal education and exposure to mass media. CONCLUSIONS: The MNCH continuum dropout rate is very high in the EAC countries. Maternal education, place of residence, and mass media exposure were common contributing factors to the drop out from MNCH continuum. The Random Forest had the highest predictive accuracy. Household wealth, place of residence, maternal education and exposure to mass media were ranked among the top four features with significant influence. The findings of this study can be used to support evidence-based decisions in MNCH interventions and to develop web-based services to improve continuity of care retention.


Delivery of Health Care , Maternal-Child Health Services , Patient Dropouts , Sub-Saharan African People , Child , Female , Humans , Infant, Newborn , Pregnancy , Delivery of Health Care/ethnology , Delivery of Health Care/statistics & numerical data , Kenya/epidemiology , Machine Learning , Tanzania/epidemiology , Patient Dropouts/ethnology , Patient Dropouts/statistics & numerical data , Rural Population/statistics & numerical data , Social Media/statistics & numerical data , Internet Use/statistics & numerical data , Residence Characteristics/statistics & numerical data , Economic Status/statistics & numerical data , Democratic Republic of the Congo/epidemiology , Sub-Saharan African People/statistics & numerical data , Maternal-Child Health Services/statistics & numerical data , Risk Factors
14.
Prev Chronic Dis ; 20: E69, 2023 08 10.
Article En | MEDLINE | ID: mdl-37562068

INTRODUCTION: Comprehensive cancer control (CCC) plans are state-level blueprints that identify regional cancer priorities and health equity strategies. Coalitions are encouraged to engage with community members, advocacy groups, people representing multiple sectors, and working partners throughout the development process. We describe the community and legislative engagement strategy developed and implemented during 2020-2022 for the 2022-2027 Illinois CCC plan. METHODS: The engagement strategies were grounded in theory and evidence-based tools and resources. It was developed and implemented by coalition members representing the state health department and an academic partner, with feedback from the larger coalition. The strategy included a statewide town hall, 8 focus groups, and raising awareness of the plan among state policy makers. RESULTS: A total of 112 people participated in the town hall and focus groups, including 40 (36%) cancer survivors, 31 (28%) cancer caregivers, and 18 (16%) Latino and 26 (23%) African American residents. Fourteen of 53 (26%) focus group participants identified as rural. Participants identified drivers of cancer disparities (eg, lack of a comprehensive health insurance system, discrimination, transportation access) and funding and policy priorities. Illinois House Resolution 0675, the Illinois Cancer Control Plan, was passed in March 2022. CONCLUSION: The expertise and voices of community members affected by cancer can be documented and reflected in CCC plans. CCC plans can be brought to the attention of policy makers. Other coalitions working on state plans may consider replicating our strategy. Ultimately, CCC plans should reflect health equity principles and prioritize eliminating cancer disparities.


Delivery of Health Care , Health Equity , Neoplasms , Public Health , Humans , Black or African American/statistics & numerical data , Delivery of Health Care/ethnology , Delivery of Health Care/standards , Delivery of Health Care/statistics & numerical data , Illinois/epidemiology , Neoplasms/epidemiology , Neoplasms/ethnology , Neoplasms/prevention & control , Neoplasms/therapy , Hispanic or Latino/statistics & numerical data , Health Inequities , Health Equity/standards , Health Equity/statistics & numerical data
16.
BMJ Open ; 13(6): e066975, 2023 06 30.
Article En | MEDLINE | ID: mdl-37399440

OBJECTIVE: The autonomy of young women in healthcare decision-making has been reported to be lower, particularly in low-income and middle-income countries. This study was conducted to estimate the magnitude and the factors associated with autonomy in healthcare decision-making among youth in East African countries. DESIGN AND SETTING: A population-based, cross-sectional study was conducted with data from the most recent Demographic and Health Surveys conducted in 11 East African countries (Burundi, Ethiopia, Kenya, Comoros, Malawi, Mozambique, Rwanda, Tanzania, Uganda, Zambia, Zimbabwe) conducted from 2011 to 2019. PARTICIPANTS: Weighted sample of 24 135 women aged 15-24 years. PRIMARY OUTCOMES: Healthcare decision-making autonomy. METHODS: A multi-level logistic regression model was used to identify factors associated with women's autonomy in making decisions about their healthcare. Statistical significance was determined using an adjusted OR with 95% CI at a p value less than 0.05. RESULTS: Healthcare decision-making autonomy among youth in East Africa was 68.37% (95% CI 68%, 70%). In a multivariable analysis older aged youths (20-24 years) (adjusted OR (AOR)=1.27; 95% CI 1.19, 1.36), youths having an occupation (AOR=1.34; 95% CI 1.25, 1.53), having employed husband (AOR=1.12 95% CI 1.00, 1.26), exposure to media (AOR=1.18 95% CI 1.08, 1.29), rich wealth index 1.18 (AOR=1.18 95% CI 1.08, 1.29), female household head, youths having secondary and higher education, youths whose husband had secondary and higher education, and country were significant predictors of healthcare decision making autonomy. CONCLUSION: Almost one-third of young women have no autonomy in healthcare decision-making. Older youth, being educated, having an educated husband, having an occupation, having an employed husband, exposure to media, female household head, rich wealth index and country are significant predictors for being autonomous in healthcare decision-making. Public health interventions should target uneducated and unemployed youth, poor families and those without media exposure to increase autonomy in health decisions.


Decision Making , East African People , Neighborhood Characteristics , Personal Autonomy , Social Determinants of Health , Adolescent , Female , Humans , Cross-Sectional Studies , Delivery of Health Care/statistics & numerical data , East African People/statistics & numerical data , Multilevel Analysis , Tanzania , Neighborhood Characteristics/statistics & numerical data , Social Determinants of Health/statistics & numerical data , Africa, Eastern/epidemiology , Young Adult
17.
Afr J Prim Health Care Fam Med ; 15(1): e1-e7, 2023 Jun 29.
Article En | MEDLINE | ID: mdl-37403682

BACKGROUND: The use of herbal medicine (HM) as a self-management practice for treating various diseases has gained popularity worldwide. Consumers co-administer herbal products with conventional medicine without the knowledge of possible herb-drug interaction (HDI). AIM: This study aimed to assess patients' perception and use of HM and their knowledge of HDI. SETTING: Participants attending primary health care (PHC) clinics in three provinces (Gauteng, Mpumalanga and Free State), South Africa, were recruited. METHODS: Focus group discussions comprising a total of thirty (N = 30) participants were conducted using a semi-structured interview guide. Discussions were audio-recorded and then transcribed verbatim. Data were analysed using thematic content analysis. RESULTS: Reasons for using HM, sources of information on HM, co-administration of HM and prescribed medicine, disclosure of the use of HM, PHC nurses' attitudes and not having time to engage were frequently discussed. Respondents' lack of knowledge and perceptions about HDI and their dissatisfaction with prescribed medicine because of experienced side effects were also discussed. CONCLUSION: Because of the lack of discussions and non-disclosure about HM in PHC clinics, patients are at risk of experiencing HDIs. Primary health care providers should regularly enquire about HM use on every patient, to identify and prevent HDIs. The lack of knowledge about HDIs by patients further compromises the safety of HM.Contribution: The results highlighted the lack of knowledge of HDI by patients thus assisting the healthcare stakeholders in South Africa to implement measures to educate patients attending PHC clinics.


Delivery of Health Care , Herb-Drug Interactions , Herbal Medicine , Prescription Drugs , Primary Health Care , Humans , Delivery of Health Care/methods , Delivery of Health Care/statistics & numerical data , Focus Groups , Primary Health Care/methods , Primary Health Care/statistics & numerical data , South Africa/epidemiology , Herbal Medicine/methods , Phytotherapy/methods , Prescription Drugs/pharmacology , Prescription Drugs/therapeutic use , Drug Therapy, Combination
18.
JAMA ; 329(21): 1840-1847, 2023 06 06.
Article En | MEDLINE | ID: mdl-37278813

Importance: US hospitals report data on many health care quality metrics to government and independent health care rating organizations, but the annual cost to acute care hospitals of measuring and reporting quality metric data, independent of resources spent on quality interventions, is not well known. Objective: To evaluate externally reported inpatient quality metrics for adult patients and estimate the cost of data collection and reporting, independent of quality-improvement efforts. Design, Setting, and Participants: Retrospective time-driven activity-based costing study at the Johns Hopkins Hospital (Baltimore, Maryland) with hospital personnel involved in quality metric reporting processes interviewed between January 1, 2019, and June 30, 2019, about quality reporting activities in the 2018 calendar year. Main Outcomes and Measures: Outcomes included the number of metrics, annual person-hours per metric type, and annual personnel cost per metric type. Results: A total of 162 unique metrics were identified, of which 96 (59.3%) were claims-based, 107 (66.0%) were outcome metrics, and 101 (62.3%) were related to patient safety. Preparing and reporting data for these metrics required an estimated 108 478 person-hours, with an estimated personnel cost of $5 038 218.28 (2022 USD) plus an additional $602 730.66 in vendor fees. Claims-based (96 metrics; $37 553.58 per metric per year) and chart-abstracted (26 metrics; $33 871.30 per metric per year) metrics used the most resources per metric, while electronic metrics consumed far less (4 metrics; $1901.58 per metric per year). Conclusions and Relevance: Significant resources are expended exclusively for quality reporting, and some methods of quality assessment are far more expensive than others. Claims-based metrics were unexpectedly found to be the most resource intensive of all metric types. Policy makers should consider reducing the number of metrics and shifting to electronic metrics, when possible, to optimize resources spent in the overall pursuit of higher quality.


Hospitals , Public Reporting of Healthcare Data , Quality Improvement , Quality of Health Care , Humans , Delivery of Health Care/economics , Delivery of Health Care/standards , Delivery of Health Care/statistics & numerical data , Hospitals/standards , Hospitals/statistics & numerical data , Hospitals/supply & distribution , Quality Improvement/economics , Quality Improvement/standards , Quality Improvement/statistics & numerical data , Quality of Health Care/economics , Quality of Health Care/statistics & numerical data , Retrospective Studies , Adult , United States/epidemiology , Insurance Claim Review/economics , Insurance Claim Review/standards , Insurance Claim Review/statistics & numerical data , Patient Safety/economics , Patient Safety/standards , Patient Safety/statistics & numerical data , Economics, Hospital/statistics & numerical data
19.
BMC Health Serv Res ; 23(1): 705, 2023 Jun 29.
Article En | MEDLINE | ID: mdl-37386431

BACKGROUND: In 2017, Liberia became one of the first countries in the African region to develop and implement a national strategy for integrated case management of Neglected Tropical Diseases (CM-NTDs), specifically Buruli ulcer, leprosy, lymphatic filariasis morbidities, and yaws. Implementing this plan moves the NTD program from many countries' fragmented (vertical) disease management. This study explores to what extent an integrated approach offers a cost-effective investment for national health systems. METHODS: This study is a mixed-method economic evaluation that explores the cost-effectiveness of the integrated CM-NTDs approach compared to the fragmented (vertical) disease management. Primary data were collected from two integrated intervention counties and two non-intervention counties to determine the relative cost-effectiveness of the integrated program model vs. fragmented (vertical) care. Data was sourced from the NTDs program annual budgets and financial reports for integrated CM-NTDs and Mass Drug Administration (MDA) to determine cost drivers and effectiveness. RESULTS: The total cost incurred by the integrated CM-NTD approach from 2017 to 2019 was US$ 789,856.30, with the highest percentage of costs for program staffing and motivation (41.8%), followed by operating costs (24.8%). In the two counties implementing fragmented (vertical) disease management, approximately US$ 325,000 was spent on the diagnosis of 84 persons and the treatment of twenty-four persons suffering from NTDs. While 2.5 times as much was spent in integrated counties, 9-10 times more patients were diagnosed and treated. CONCLUSIONS: The cost of a patient being diagnosed under the fragmented (vertical) implementation is five times higher than integrated CM-NTDs, and providing treatment is ten times as costly. Findings indicate that the integrated CM-NTDs strategy has achieved its primary objective of improved access to NTD services. The success of implementing an integrated CM-NTDs approach in Liberia, presented in this paper, demonstrates that NTD integration is a cost-minimizing solution.


Case Management , Delivery of Health Care , Infections , Neglected Diseases , West African People , Humans , Black People/statistics & numerical data , Budgets , Case Management/economics , Case Management/statistics & numerical data , Cost-Benefit Analysis , Liberia/epidemiology , Neglected Diseases/economics , Neglected Diseases/therapy , Cost-Effectiveness Analysis , Infections/economics , Infections/therapy , Delivery of Health Care, Integrated/economics , Delivery of Health Care, Integrated/statistics & numerical data , Tropical Medicine/economics , Tropical Medicine/statistics & numerical data , Health Services Accessibility/economics , Health Services Accessibility/statistics & numerical data , Delivery of Health Care/economics , Delivery of Health Care/statistics & numerical data , West African People/statistics & numerical data
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