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Health Care Science Dec 2023This study aimed to determine the catastrophic healthcare expenditure (CHE) among people living with HIV (PLHIV) in Lagos and to identify factors associated with CHE...
BACKGROUND
This study aimed to determine the catastrophic healthcare expenditure (CHE) among people living with HIV (PLHIV) in Lagos and to identify factors associated with CHE among them.
METHODS
The study was a descriptive cross-sectional survey conducted between January and March 2021 among 578 PLHIVs drawn from various healthcare facilities in Lagos where HIV care and treatment services should be provided free of charge. Data were collected through pretested questionnaires and analyzed using Stata SE 12.
RESULTS
The mean monthly expenditure on food was N29,282 ($53.2), while expenditure on healthcare averaged N8364 ($15.2). Nearly 60% of respondents experienced CHE, while around 30% had to borrow money to pay for some aspect of their medical treatment. Almost all (96%) had no health insurance plan. Respondents' group, personal income, perception of current health status, and the number of people in their households were significantly associated with catastrophic health expenditure < 0.05. PLHIV in the racial/ethnic minority/migrants' group and those who earned less than ₦30,000 ($55) were statistically significantly associated with CHE at < 0.001 with OR of 28.7 and 3.15, respectively.
CONCLUSIONS
The study, therefore, highlights the widespread financial hardship faced by PLHIV in accessing healthcare, and the need for policies to increase financial risk protection.
PubMed: 38938626
DOI: 10.1002/hcs2.77 -
Frontiers in Medicine 2024Current estimates indicate that up to 50-75% of dementia cases are undiagnosed at an early stage when treatments are most effective. Conducting robust accurate cognitive...
INTRODUCTION
Current estimates indicate that up to 50-75% of dementia cases are undiagnosed at an early stage when treatments are most effective. Conducting robust accurate cognitive assessments can be time-consuming for providers and difficult to incorporate into a time-limited Primary Care Provider (PCP) visit. We wanted to compare PCP visits with and without using the self-administered SAGE to determine differences in identification rates of new cognitive disorders.
METHODS
Three hundred patients aged 65-89 without diagnosed cognitive disorders completing a non-acute office visit were enrolled (ClinicalTrials.gov identifier: NCT04063371). Two PCP offices conducted routine visits for 100 consecutive eligible patients each. One office used the SAGE in an additional 100 subjects and asked available informants about cognitive changes over the previous year. Chart reviews were conducted 60 days later. One-way analysis of variance and Fisher exact tests were used to compare the groups and outcomes.
RESULTS
When SAGE was utilized, the PCP documented the detection of new cognitive conditions/concerns six times (9% versus 1.5%) as often ( = 0.003). The detection rate was nearly 4-fold for those with cognitively impaired SAGE scores ( = 0.034). Patients having impaired SAGE score and informant concerns were 15-fold as likely to have new cognitive conditions/concerns documented ( = 0.0007). Among providers using SAGE, 86% would recommend SAGE to colleagues.
DISCUSSION
SAGE was easily incorporated into PCP visits and significantly increased identification of new cognitive conditions/concerns leading to new diagnoses, treatment, or management changes. The detection rate increased 15-fold for those with impaired SAGE scores combined with informant reports.
PubMed: 38938387
DOI: 10.3389/fmed.2024.1353104 -
Health Affairs Scholar Jun 2024Since January 2020, Medicare has covered opioid use disorder (OUD) treatment services at opioid treatment programs (OTPs), the only outpatient settings allowed to...
Since January 2020, Medicare has covered opioid use disorder (OUD) treatment services at opioid treatment programs (OTPs), the only outpatient settings allowed to dispense methadone for treating OUD. This study examined policy-associated changes in Medicare acceptance and the availability of four OUD treatment services (ongoing buprenorphine, HIV/AIDS education, employment services, and comprehensive mental health assessment), by for-profit status, and county-level changes in Medicare-accepting-OTPs access, by sociodemographic characteristics (racial composition, poverty rate, and rurality). Using data from the 2019-2022 National Directory of Drug and Alcohol Abuse Treatment Facilities, we found Medicare acceptance increased from 21.31% in 2018 to 80.76% in 2021. The availability of the four treatment services increased, but no increases were significantly associated with Medicare coverage. While county-level OTP access significantly improved, counties with higher rates of non-White residents experienced an additional average increase of 0.86 Medicare-accepting-OTPs (95% CI, 0.05-1.67) compared to those without higher rates of non-White populations. Overall, Medicare coverage was associated with improved OTP access, not ancillary services.
PubMed: 38938273
DOI: 10.1093/haschl/qxae076 -
Revue Medicale Suisse Jun 2024In recent years, the relationship between patients and healthcare professionals, and more broadly between public health actors and citizens, has shifted from a...
In recent years, the relationship between patients and healthcare professionals, and more broadly between public health actors and citizens, has shifted from a paternalistic, top-down approach to one of increased patient involvement in decision-making. Primary and secondary cancer prevention involve both benefits and risks, underscoring the importance of informed decision-making aligned with each patient and citizen's unique values and preferences. Shared decision-making, supported by decision aids, offers patients and citizens clear and comprehensible information about their options, enabling informed choices. This article aims to compile and define the characteristics of tools developed or translated into French for this purpose.
Topics: Humans; Neoplasms; Patient Participation; Decision Support Techniques; France; Decision Making; Decision Making, Shared; Language
PubMed: 38938137
DOI: 10.53738/REVMED.2024.20.880.1264 -
Global Public Health Jan 2024Transgender women (TGW) and men who have sex with other men (MSM) often encounter disparities in accessing HIV testing, leading to delayed diagnoses and worse prognoses.... (Review)
Review
Transgender women (TGW) and men who have sex with other men (MSM) often encounter disparities in accessing HIV testing, leading to delayed diagnoses and worse prognoses. We analysed barriers and facilitators for accessing HIV rapid testing by TGW and MSM in Brazil, 2004-2023. Citations were included whether the study population consisted of individuals aged ≥18y old, and studies addressed HIV testing and have been conducted in Brazil. The study protocol was based on Joanna Briggs' recommendations for scoping reviews. We included 11 studies on TGW and 17 on MSM. The belief that one is not at risk of contracting HIV infection, fear expressed in different ways (e.g. lack of confidentiality) and younger age were the main barriers. Feeling at risk for HIV infection, curiosity, and favourable characteristics of the setting where the testing takes place were cited as the main facilitators. Barriers and facilitators specifically for HIV self-testing included, respectively, concerns about conducting the test alone vs. autonomy/flexibility. Brazil is unlikely to achieve the UN' 95-95-95 goal without minimising testing disparities. Combating prejudice against TGW and MSM in testing settings, along with educational campaigns and transparent protocols to ensure confidentiality, can help increase HIV testing among these populations.
Topics: Humans; Male; Brazil; HIV Infections; Female; Transgender Persons; Homosexuality, Male; HIV Testing; Health Services Accessibility; Sexual and Gender Minorities; Adult
PubMed: 38937916
DOI: 10.1080/17441692.2024.2360982 -
Harm Reduction Journal Jun 2024Good Samaritan Laws are a harm reduction policy intended to facilitate a reduction in fatal opioid overdoses by enabling bystanders, first responders, and health care...
Using qualitative system dynamics modeling to understand overdose bystander behavior in the context of Connecticut's Good Samaritan Laws and identify effective policy options.
BACKGROUND
Good Samaritan Laws are a harm reduction policy intended to facilitate a reduction in fatal opioid overdoses by enabling bystanders, first responders, and health care providers to assist individuals experiencing an overdose without facing civil or criminal liability. However, Good Samaritan Laws may not be reaching their full impact in many communities due to a lack of knowledge of protections under these laws, distrust in law enforcement, and fear of legal consequences among potential bystanders. The purpose of this study was to develop a systems-level understanding of the factors influencing bystander responses to opioid overdose in the context of Connecticut's Good Samaritan Laws and identify high-leverage policies for improving opioid-related outcomes and implementation of these laws in Connecticut (CT).
METHODS
We conducted six group model building (GMB) workshops that engaged a diverse set of participants with medical and community expertise and lived bystander experience. Through an iterative, stakeholder-engaged process, we developed, refined, and validated a qualitative system dynamics (SD) model in the form of a causal loop diagram (CLD).
RESULTS
Our resulting qualitative SD model captures our GMB participants' collective understanding of the dynamics driving bystander behavior and other factors influencing the effectiveness of Good Samaritan Laws in the state of CT. In this model, we identified seven balancing (B) and eight reinforcing (R) feedback loops within four narrative domains: Narrative 1 - Overdose, Calling 911, and First Responder Burnout; Narrative 2 - Naloxone Use, Acceptability, and Linking Patients to Services; Narrative 3 - Drug Arrests, Belief in Good Samaritan Laws, and Community Trust in Police; and Narrative 4 - Bystander Naloxone Use, Community Participation in Harm Reduction, and Cultural Change Towards Carrying Naloxone.
CONCLUSIONS
Our qualitative SD model brings a nuanced systems perspective to the literature on bystander behavior in the context of Good Samaritan Laws. Our model, grounded in local knowledge and experience, shows how the hypothesized non-linear interdependencies of the social, structural, and policy determinants of bystander behavior collectively form endogenous feedback loops that can be leveraged to design policies to advance and sustain systems change.
Topics: Humans; Harm Reduction; Connecticut; Opiate Overdose; Narcotic Antagonists; Naloxone; Drug Overdose; Health Policy; Law Enforcement
PubMed: 38937759
DOI: 10.1186/s12954-024-00990-3 -
BMC Public Health Jun 2024Primary healthcare facilities are central to the implementation of voluntary medical male circumcision (VMMC) as points of access to integrated health services in line... (Randomized Controlled Trial)
Randomized Controlled Trial
Primary healthcare facilities are central to the implementation of voluntary medical male circumcision (VMMC) as points of access to integrated health services in line with the Kenya AIDS Strategic Framework II (2020/21-2024/25). Knowledge of factors that explain men's uptake of VMMC and sexual health services at these facilities and preferences of where to get the services remain poorly understood. Using qualitative methodologies, we examined factors that determined facility choice for VMMC services and reasons for preferring the facility among men aged 25-39 years who previously underwent VMMC. The current study draws from focus group discussion interviews with circumcised men and their partners conducted as part of a randomized controlled trial to assess impact of two demand creation interventions in western Kenya. This involved 12 focus group discussions (FGD) with 6-10 participants each. Six FGDs were conducted with circumcised men, and 6 with their sex partners. Thematic issues relevant to a predetermined framework were identified. The themes were organized as follows: service availability, accessibility, affordability, appropriateness and, acceptability. Facility location, physical layout, organization of patient flow, infrastructure, and service provider skills were the outstanding factors affecting the choice of VMMC service outlets by men aged 25-39 years. Additionally, preferences were influenced by individual's disposition, attitudes, knowledge of VMMC services and tacit balance between their own recognized health needs versus desire to conform to social-cultural norms. Facility choice and individual preference are intricate issues, simultaneously involving multiple but largely intra-personal and facility-level factors. The intrapersonal dimensions elicited may also reflect differential responses to strategic communications and demand creation messages with promotion and prevention frames.
Topics: Humans; Male; Circumcision, Male; Kenya; Adult; Focus Groups; Qualitative Research; Patient Preference; Patient Acceptance of Health Care; Health Services Accessibility
PubMed: 38937707
DOI: 10.1186/s12889-024-19234-x -
BMC Psychiatry Jun 2024The inclusion of biomarkers could improve diagnostic accuracy of attention-deficit/hyperactivity disorder (ADHD). One potential biomarker is the ADHD polygenic score...
BACKGROUND
The inclusion of biomarkers could improve diagnostic accuracy of attention-deficit/hyperactivity disorder (ADHD). One potential biomarker is the ADHD polygenic score (PGS), a measure of genetic liability for ADHD. This study aimed to investigate if the ADHD PGS can provide additional information alongside ADHD rating scales and examination of family history of ADHD to distinguish between ADHD cases and controls.
METHODS
Polygenic scores were calculated for 576 adults with ADHD and 530 ethnically matched controls. ADHD PGS was used alongside scores from the Wender-Utah Rating Scale (WURS) and the Adult ADHD Self-Report Scale (ASRS) as predictors of ADHD diagnosis in a set of nested logistic regression models. These models were compared by likelihood ratio (LR) tests, Akaike information criterion corrected for small samples (AICc), and Lee R². These analyses were repeated with family history of ADHD as a covariate in all models.
RESULTS
The ADHD PGS increased the variance explained of the ASRS by 0.58% points (pp) (R = 61.11%, R=61.69%), the WURS by 0.61pp (R = 77.33%, R= 77.94%), of ASRS and WURS together by 0.57pp (R=80.84%, R=81.40%), and of self-reported family history by 1.40pp (R = 28.06%, R=29.46%). These increases were statistically significant, as measured by LR tests and AICc.
CONCLUSION
We found that the ADHD PGS contributed additional information to common diagnostic aids. However, the increase in variance explained was small, suggesting that the ADHD PGS is currently not a clinically useful diagnostic aid. Future studies should examine the utility of ADHD PGS in ADHD prediction alongside non-genetic risk factors, and the diagnostic utility of the ADHD PGS should be evaluated as more genetic data is accumulated and computational tools are further refined.
Topics: Humans; Attention Deficit Disorder with Hyperactivity; Male; Female; Multifactorial Inheritance; Adult; Psychiatric Status Rating Scales; Case-Control Studies; Genetic Predisposition to Disease; Self Report; Middle Aged
PubMed: 38937684
DOI: 10.1186/s12888-024-05925-7 -
Scientific Reports Jun 2024This systematic review and meta-analysis aimed to investigate the prevalence of self-reported sleep disturbances in people living with HIV considering the effects of... (Meta-Analysis)
Meta-Analysis
This systematic review and meta-analysis aimed to investigate the prevalence of self-reported sleep disturbances in people living with HIV considering the effects of age, depression, anxiety, CD4 cell counts, time since HIV diagnosis, study region, and the instruments used to measure sleep disturbances. We searched PubMed, PsycINFO, and EMBASE to include eligible articles. In this meta-analysis of 43 studies, the pooled prevalence of self-reported sleep disturbances was 52.29% (95% confidence interval 47.69-56.87). The subgroup analyses revealed that variations in the sleep measurements and study region significantly contributed to the observed heterogeneity. In the meta-regression analyses, higher proportions of participants with depression or anxiety and longer times since HIV diagnosis were significantly associated with a higher prevalence of self-reported sleep disturbances after adjusting for mean age. Our findings emphasise the substantial burden of sleep disturbances in people living with HIV and identified comorbid depression and anxiety and the time since HIV diagnosis as significant moderators. These results underscore the importance of considering these factors when designing tailored screening programmes for high-risk patients and implementing early interventions to prevent and mitigate sleep disturbances in people living with HIV.
Topics: Humans; HIV Infections; Sleep Wake Disorders; Prevalence; Depression; Anxiety; Male; Female; CD4 Lymphocyte Count
PubMed: 38937605
DOI: 10.1038/s41598-024-65713-x -
Scientific Reports Jun 2024Timely, accurate, and reliable information is essential for decision-makers, emergency managers, and infrastructure operators during flood events. This study...
Timely, accurate, and reliable information is essential for decision-makers, emergency managers, and infrastructure operators during flood events. This study demonstrates that a proposed machine learning model, MaxFloodCast, trained on physics-based hydrodynamic simulations in Harris County, offers efficient and interpretable flood inundation depth predictions. Achieving an average of 0.949 and a Root Mean Square Error of 0.61 ft (0.19 m) on unseen data, it proves reliable in forecasting peak flood inundation depths. Validated against Hurricane Harvey and Tropical Storm Imelda, MaxFloodCast shows the potential in supporting near-time floodplain management and emergency operations. The model's interpretability aids decision-makers in offering critical information to inform flood mitigation strategies, to prioritize areas with critical facilities and to examine how rainfall in other watersheds influences flood exposure in one area. The MaxFloodCast model enables accurate and interpretable inundation depth predictions while significantly reducing computational time, thereby supporting emergency response efforts and flood risk management more effectively.
PubMed: 38937603
DOI: 10.1038/s41598-024-65570-8