Unmet medical needs and influencing factors among Korean police officers: a cross-sectional survey.

OBJECTIVES: South Korea grapples with a disproportionately high incidence of unmet medical needs, a concern that is particularly acute among police officers, who are exposed to significant occupational risks. Given the pivotal role of police officers in upholding democratic values and public safety, their well-being holds critical societal implications. This study aims to determine the incidence of unmet medical needs among police officers and identify the influencing factors. DESIGN: This is a retrospective and cross-sectional study. Applying the Andersen behavioural model and multiple logistic regression analysis, we explored factors impacting unmet medical needs. SETTING: The study took place in South Korea and involved its total force of police officers. PARTICIPANTS: Our analysis encompassed data from 6591 participants, representing 5.2% of South Korea's total police officers. OUTCOME MEASURES: Unmet medical needs. RESULTS: Our findings revealed several influencing factors. First, predisposing factors included sex, with women experiencing a higher incidence of unmet medical needs. Second, enabling factors highlighted the significance of job positions and reduced annual leave guarantees in influencing unmet medical needs. Finally, need factors demonstrated the substantial impact of chronic diseases, heightened levels of depression, reduced subjective health assessments, increased stress levels and exposure to rough physical activity on driving unmet medical needs. CONCLUSIONS: To mitigate and pre-empt the long-term health repercussions associated with unmet medical needs, intervention strategies should prioritise these identified factors. An integrated healthcare programme emerges as a critical necessity for addressing the healthcare challenges faced by police officers.

Palliative care needs and utilisation of specialist services for people diagnosed with motor neuron disease: a national population-based study.

INTRODUCTION: There is a growing emphasis on the importance of the availability of specialist palliative care for people with motor neuron disease (MND). However, the palliative care needs of this population and the utilisation of different specialist services remain poorly defined. OBJECTIVES: To (1) describe clinical characteristics, symptom burden and functional levels of patients dying with MND on their admission to palliative care services; (2) determine factors associated with receiving inpatient or community palliative care services. DESIGN: An observational study based on point-of-care assessment data from the Australian Palliative Care Outcomes Collaboration. PARTICIPANTS: A total of 1308 patients who received palliative care principally because of MND between 1 January 2013 and 31 December 2020. MEASURES: Five validated clinical instruments were used to assess each individual's function, distress from symptoms, symptom severity and urgency and acuity of their condition. RESULTS: Most patients with MND had no or mild symptom distress, but experienced a high degree of functional impairment. Patients who required 'two assistants for full care' relative to those who were 'independent' (OR=11.53, 95% CI: 4.87 to 27.26) and those in 'unstable' relative to 'stable' palliative care phases (OR=16.74, 95% CI: 7.73 to 36.24) were more likely to use inpatient versus community-based palliative care. Associations between the use of different palliative care services and levels of symptom distress were not observed in this study. CONCLUSIONS: Patients with MND were more likely to need assistance for decreased function and activities of daily living, rather than symptom management. This population could have potentially been cared for in the palliative phase in a community setting if greater access to supportive services were available in this context.

Socioeconomic inequality as a predictor of unmet health needs in the older adult population of Serbia.

Objectives: The aim of this paper is to assess the relationship between demographic and socioeconomic predictors and the unmet health needs of the older adult population in Serbia. Materials and methods: The study is part of the Population Health Survey of Serbia, which was conducted in the period from October to December 2019 by the Institute for Public Health of Serbia "Dr. Milan Jovanovic Batut" and the Ministry of Health of the Republic of Serbia. The research was conducted on a representative sample of Serbian residents in the form of a cross-sectional study. For the purposes of this research study, data on senior citizens, aged 65 and older, were used. Results: Multivariate regression analysis of demographic characteristics that showed statistical significance in the univariate model as a whole explains between 4.2% (Cox & Snell R Square) and 5.9% (Nagelkerke R Square) of the variance of unmet health needs and correctly classifies 66.3% cases. Statistically significant demographic predictors were the region where the respondents live, level of education, and material condition. The results of the research show that the most dominant predictors of the unmet health needs of the older adult population are related to socioeconomic inequalities, financial reasons, and predictors related to the inaccessibility of health care. Conclusion: The results suggest that individual socioeconomic predictors have a great influence on the emergence of unmet health needs of the older adult population in Serbia. Every third older adult resident did not receive the necessary health care, most often due to financial constraints.

Changes in unmet need for family planning among married women of reproductive age in Nigeria: A multilevel analysis of a ten-year DHS wave.

INTRODUCTION: Unmet need for family planning [UNFP] remains a serious public health concern in Nigeria. Evidence suggests that UNFP remains high over the last fifteen years despite numerous policies and programmes aimed at generating demand for family planning. This study used three Demographic and Health Survey (DHS) conducted over a ten-year period (2008-2018) to assess the changes in unmet need for family planning and associated contextual determinants. Understanding changes in unmet need for family planning among women and its associated contextual factors is crucial for designing appropriate interventions. METHODS: We analysed datasets the Nigeria Demographic and Health Surveys of 2008, 2013 and 2018 to assess changes and contextual determinants of unmet need for family planning. Data were analysed using frequency distribution, chi-square statistical test and multilevel binary logistic regression models. Due to the hierarchical structure of the data in which individuals are nested within households, multilevel mixed-effect logistic regression models were constructed. We used a multilevel binary logistic regression model after adjusting for variables not significant at the bivariate level. An adjusted odds ratio with 95% confidence interval was reported, with a p-value less than 0.05 declared to be significant predictors of unmet need for family planning. RESULTS: Unmet need for family planning decreased from 20.21% to 16.10% between 2008 and 2013 but subsequently rose later from 16.10% to 18.89% between 2013 and 2018. The pattern of changes in unmet need for either limiting or spacing was consistently high over the 10-year period, with the highest rate of each of the indicators of unmet need for family planning occurring in 2018 while the lowest rate was in 2008, thus indicating an increase in the proportion of respondents having unmet need for family planning over the referenced period. Age of respondents, educational level, wealth status, religious affiliation, parity, sex of head of household, partner educational level, region of residence, and community socioeconomic status were significant factors associated with the unmet need for family planning across the different data waves in Nigeria (p < 0.05). An intraclass correlation (ICC) of 4.9% showed that the individual and household level factors had a greater influence on the variation in the unmet need for family planning than did community factors in Nigeria. CONCLUSION: The overall prevalence of unmet need for family planning was consistently high over the ten-year period and community-level factors had lowest influence on the variation in unmet need for family planning compared to household and individual-level factors in Nigeria. Policies and interventions should focus on improving women's socio-economic and demographic characteristics at individual, household, and community levels to improve unmet need for family planning.

Variations in Unmet Health Care Needs by Perceptions of Social Media Health Mis- and Disinformation, Frequency of Social Media Use, Medical Trust, and Medical Care Discrimination: Cross-Sectional Study.

Background: Unmet need for health care is defined as choosing to postpone or completely avoid necessary medical treatment despite having a need for it, which can worsen current conditions or contribute to new health problems. The emerging infodemic can be a barrier that prevents people from accessing quality health information, contributing to lower levels of seeking medical care when needed. Objective: We evaluated the association between perceptions of health mis- and disinformation on social media and unmet need for health care. In addition, we evaluated mechanisms for this relationship, including frequency of social media use, medical trust, and medical care discrimination. Methods: Data from 3964 active adult social media users responding to the 2022 Health Information National Trends Survey 6 (HINTS 6), a nationally representative survey, were analyzed. The outcome was unmet need for medical care, defined as delaying or not getting the necessary medical care. The predictor variables were perception of social media health mis- and disinformation, frequency of social media use, level of trust in the health care system, and perceived racial and ethnic discrimination when receiving health care. Results: Multivariable logistic regression models indicated that perception of substantial social media health mis- and disinformation (odds ratio [OR] 1.40, 95% CI 1.07-1.82), daily use of social media (OR 1.34, 95% CI 1.01-1.79), low medical trust (OR 1.46, 95% CI 1.06-2.01), and perceived discrimination (OR 2.24, 95% CI 1.44-3.50) were significantly associated with a higher likelihood of unmet need for medical care. Unmet need among adults who did not use social media daily and who did not perceive substantial mis- and disinformation (24%; 95% CI 19%-30%) was lower compared to daily social media users who perceived substantial mis- and disinformation (38%; 95% CI 32%-43%). Adults who perceived substantial mis- and disinformation and had low trust in health care had the highest probability of reporting unmet need (43%; 95% CI 38%-49%) compared to the other three groups. Adults who perceived substantial mis- and disinformation and experienced medical care discrimination had a statistically significant higher probability of reporting unmet need (51%; 95% CI 40%-62%) compared to adults who did not experience medical care discrimination and did not perceive substantial mis- and disinformation (29%; 95% CI 26%-32%). Conclusions: Unmet need for medical care was higher among individuals who perceived a substantial degree of social media mis- and disinformation, especially among those who used social media daily, did not trust the health care system, and experienced racial or ethnic discrimination when receiving health care. To counter the negative effects of social media mis- and disinformation on unmet need for health care, public health messaging must focus on daily social media users as well as improving trust and reducing structural racism in the health care system.

Coupling coordination degree of healthcare resource supply, demand and elderly population change in China.

OBJECT: To analyze the trend of the coupling and coordination of the supply and demand of healthcare resources between the elderly population and healthcare resources in China during the period of 2012-2022, to reveal the impact of the growth of the elderly population on the relationship between the supply and demand of healthcare resources, and to put forward suggestions to improve the coupling and coordination between the supply and demand of healthcare resources and the elderly population, in order to cope with the challenges of an aging society. METHODS: By obtaining relevant data from authoritative data sources such as China Statistical Yearbook, Health and Health Statistics Yearbook, and the Chinese government website from 2012 to 2022, we constructed a comprehensive measurement index for the three systems of elderly population, healthcare resource supply, and healthcare resource demand; Using the entropy value method to assign weights to the indicators, combined with the coupling coordination degree model, to reveal the changes of the elderly population change and the supply and demand of medical and health resources; using ArcGIS technology, to study the spatial characteristics of the elderly population change and the supply and demand of medical and health resources. RESULTS: From 2012 to 2022, the supply and demand of healthcare resources and the variation of the elderly population in China show a continuous growth trend, and the comprehensive development level of the system gradually climbs from a low level to a high level. The fluctuation of coupling degree and coordination degree rises, although the coordination degree has always been lower than the coupling degree, but the distance between the coordination degree and the coupling degree gradually narrows with the passage of time. The coordination degree between population aging and medical and health resources development shows spatial heterogeneity in China, with the eastern region significantly higher than the western region/. CONCLUSIONS: The coupling degree between population aging and healthcare resource supply and demand in China from 2012 to 2022 shows a general upward trend from low coupling to medium-high coupling, but it is worth noting that even though the degree of coupling increases, the degree of coordination is still relatively lagging behind, suggesting that the government and relevant departments need to pay more attention to coordinated allocation and management of healthcare resources. At the same time, the spatial differences in the degree of coordination among provinces suggest that future policymakers should take regional differences into full consideration in policymaking and sustainable development.

Impact of musculoskeletal disability limitations on the economic unmet dental needs in South Korea.

BACKGROUND: Musculoskeletal disability (MSD) has been identified as having a negative impact on oral health. Patients with MSD have a greater burden of medical expenses and are expected to have an Economic unmet dental need (UDN). This study aimed to conduct a multifactorial analysis based on the Andersen model to determine the extent to which MSD contributes to inequitable dental care use. METHODS: This study used data from the Korea National Health and Nutrition Survey VIII. The study population was 17,903 adults aged 19 years and older. All data were analyzed using IBM SPSS Statistics for Windows version 26 and the level of statistical significance was set at 0.05. RESULTS: The people with MSD activity limitations were rare as only 3% in this study population. There were significant differences in sex and education as predisposing factors, income, and marital status as enabling factors, and current smoking, daily brushing, and MSD activity limitation as need factors for experiencing economic UDN. MSD activity limitation was associated with 1.5-fold increased odds of Economic UDN with a fully adjusted Anderson's Behavior Model. CONCLUSIONS: This finding suggests poorer access to dental care among adults with MSDs owing to financial difficulties. It is necessary to explore various ways to address oral health inequalities among adults with MSD activity limitations.

An analysis of NHS 111 demand for primary care services: A retrospective cohort study.

The NHS 111 service triages over 16,650,745 calls per year and approximately 48% of callers are triaged to a primary care disposition, such as a telephone appointment with a general practitioner (GP). However, there has been little assessment of the ability of primary care services to meet this demand. If a timely service cannot be provided to patients, it could result in patients calling 999 or attending emergency departments (ED) instead. This study aimed to explore the patient journey for callers who were triaged to a primary care disposition, and the ability of primary care services to meet this demand. We obtained routine, retrospective data from the Connected Yorkshire research database, and identified all 111 calls between the 1st January 2021 and 31st December 2021 for callers registered with a GP in the Bradford or Airedale region of West Yorkshire, who were triaged to a primary care disposition. Subsequent healthcare system access (111, 999, primary and secondary care) in the 72 hours following the index 111 call was identified, and a descriptive analysis of the healthcare trajectory of patients was undertaken. There were 56,102 index 111 calls, and a primary care service was the first interaction in 26,690/56,102 (47.6%) of cases, with 15,470/26,690 (58%) commenced within the specified triage time frame. Calls to 999 were higher in the cohort who had no prior contact with primary care (58% vs 42%) as were ED attendances (58.2% vs 41.8), although the proportion of avoidable ED attendances was similar (10.5% vs 11.8%). Less than half of 111 callers triaged to a primary care disposition make contact with a primary care service, and even when they do, call triage time frames are frequently not met, suggesting that current primary care provision cannot meet the demand from 111.

Estimated prospects of demand and supply of urologists in Korea over the next 10 years.

PURPOSE: This study aimed to provide the basic data needed to estimate future urologist supply and demand by applying various statistical models related to healthcare utilization. MATERIALS AND METHODS: Data from multiple sources, including the Yearbook of Health and Welfare Statistics, Korean Hospital Association, Korean Medical Association, and the Korean Urological Association, were used for supply estimation. Demand estimation incorporated data on both clinical and non-clinical urologists, along with future population estimates. In-and-out moves and demographic methods were employed for supply estimation, while the Bureau of Health Professions model was utilized for demand estimation. Supply estimation assumptions included fixed resident quotas, age-specific death rates, migration rates, and retirement age considerations. Demand estimation assumptions included combining clinical and nonclinical urologist demands, adjusting population size for age-related healthcare usage variations. Urologist productivity was determined by adjusting productivity levels to 100%, 90%, and 80% of the base year based on actual clinical practice volumes. RESULTS: Estimations of both demand and supply consistently indicate an oversupply of urologists until 2025, followed by an expected shortage by 2035 owing to increased deaths and retirements attributed to the aging urologist population. This shortage becomes more pronounced when employing more reliable models, such as logit or ARIMA (autoregressive integrated moving average), underscoring the growing need for urologists in the future. CONCLUSIONS: All estimation models estimated an oversupply of urologists until 2025, transitioning to a deficit due to reduced supply thereafter. However, considering potential unaccounted factors, greater effort is needed for accurate predictions and corresponding measures.

Towards reliable forecasting of healthcare capacity needs: A scoping review and evidence mapping.

BACKGROUND: The COVID-19 pandemic has highlighted the critical importance of robust healthcare capacity planning and preparedness for emerging crises. However, healthcare systems must also adapt to more gradual temporal changes in disease prevalence and demographic composition over time. To support proactive healthcare planning, statistical capacity forecasting models can provide valuable information to healthcare planners. This systematic literature review and evidence mapping aims to identify and describe studies that have used statistical forecasting models to estimate healthcare capacity needs within hospital settings. METHOD: Studies were identified in the databases MEDLINE and Embase and screened for relevance before items were defined and extracted within the following categories: forecast methodology, measure of capacity, forecast horizon, healthcare setting, target diagnosis, validation methods, and implementation. RESULTS: 84 studies were selected, all focusing on various capacity outcomes, including number of hospital beds/ patients, staffing, and length of stay. The selected studies employed different analytical models grouped in six items; discrete event simulation (N = 13, 15 %), generalized linear models (N = 21, 25 %), rate multiplication (N = 15, 18 %), compartmental models (N = 14, 17 %), time series analysis (N = 22, 26 %), and machine learning not otherwise categorizable (N = 12, 14 %). The review further provides insights into disease areas with infectious diseases (N = 24, 29 %) and cancer (N = 12, 14 %) being predominant, though several studies forecasted healthcare capacity needs in general (N = 24, 29 %). Only about half of the models were validated using either temporal validation (N = 39, 46 %), cross-validation (N = 2, 2 %) or/and geographical validation (N = 4, 5 %). CONCLUSION: The forecasting models' applicability can serve as a resource for healthcare stakeholders involved in designing future healthcare capacity estimation. The lack of routine performance validation of the used algorithms is concerning. There is very little information on implementation and follow-up validation of capacity planning models.

Posttraumatic stress disorder in people who use drugs: syringe services program utilization, treatment need, and preferences for onsite mental health care.

BACKGROUND: Syringe services programs (SSPs) are critical healthcare access points for people with opioid use disorder (OUD) who face treatment utilization barriers. Co-locating care for common psychiatric comorbidities, like posttraumatic stress disorder (PTSD), at SSPs may reduce harms and enhance the health of individuals with OUD. To guide the development of onsite psychiatric care at SSPs, we collected quantitative survey data on the prevalence of PTSD, drug use patterns, treatment experiences associated with a probable PTSD diagnosis, and attitudes regarding onsite PTSD care in a convenience sample of registered SSP clients in New York City. METHODS: Study participants were administered the PTSD Checklist for the DSM-5 (PCL-5) and asked about sociodemographic characteristics, current drug use, OUD and PTSD treatment histories, and desire for future SSP services using a structured interview. Probable PTSD diagnosis was defined as a PCL-5 score ≥ 31. RESULTS: Of the 139 participants surveyed, 138 experienced at least one potentially traumatic event and were included in the present analysis. The sample was primarily male (n = 108, 78.3%), of Hispanic or Latinx ethnicity (n = 76, 55.1%), and middle-aged (M = 45.0 years, SD = 10.6). The mean PCL-5 score was 35.2 (SD = 21.0) and 79 participants (57.2%) had a probable PTSD diagnosis. We documented frequent SSP utilization, significant unmet PTSD treatment need, and high interest in onsite PTSD treatment. CONCLUSIONS: Study findings point to the ubiquity of PTSD in people with OUD who visit SSPs, large gaps in PTSD care, and the potential for harm reduction settings like SSPs to reach people underserved by the healthcare system who have co-occurring OUD and PTSD.

Describing the Medical Needs of Hawai'i's Houseless Population During COVID at Free Student Run Outpatient Clinics (Hawai'i HOME Project).

Hawai'i experiences some of the highest rates of houselessness per capita in the country. COVID-19 has exacerbated these disparities and made it difficult for these individuals to seek medical care. Hawai'i's Houseless Outreach in Medical Education (HOME) clinic is the largest student run free clinic in the state, which provides medical services to this patient population. This article reports the demographics, medical needs, and services provided to patients of Hawai'i's HOME clinic during the era of COVID-19. From September 2020 to 2021, the HOME clinic saw 1198 unique visits with 526 distinct patients. The most common chief complaints included wound care (42.4%), pain (26.9%), and skin complaints (15.7%). A large portion of the population suffered from comorbidities including elevated blood pressure (66%), a formal reported history of hypertension (30.6%), diabetes (11.6%), and psychiatric concerns including schizophrenia (5.2%) and generalized anxiety (5.1%). Additionally, a large portion of patients (57.2%) were substance users including 17.8% of patients endorsing use of alcohol, 48.5% tobacco and 12.5% marijuana. The most common services provided were dispensation of medication (58.7%), wound cleaning/dressing changes (30.7%), and alcohol or other drug cessation counseling (25.2%). This study emphasizes that the houseless are a diverse population with complex, evolving medical needs and a high prevalence of chronic diseases and comorbidities.

How ready is the health care system in Northeast India for surgical delivery? a mixed-methods study on surgical capacity and need.

BACKGROUND: Surgical services are scarce with persisting inequalities in access across populations and regions globally. As the world's most populous county, India's surgical need is high and delivery rates estimated to be sub-par to meet need. There is a dearth of evidence, particularly sub-regional data, on surgical provisioning which is needed to aid planning. AIM AND METHOD: This mixed-methods study examines the state of surgical care in Northeast India, specifically health care system capacity and barriers to surgical delivery. It involved a facility-based census and semi-structured interviews with surgeons and patients across four states in the region. RESULTS: Abdominal conditions constituted a large portion of the overall surgeries across public and private facilities in the region. Workloads varied among surgical providers across facilities. Task-shifting occurred, involving non-specialist nursing staff assisting doctors with surgical procedures or surgeons taking on anaesthetic tasks. Structural factors dis-incentivised facility-level investment in suitable infrastructure. Facility functionality was on average higher in private providers compared to public providers and private facilities offer a wider range of surgical procedures. Facilities in general had adequate laboratory testing capability, infrastructure and equipment. Public facilities often do not have surgeon available around the clock while both public and private facilities frequently lack adequate blood banking. Patients' care pathways were shaped by facility-level shortages as well as personal preferences influenced by cost and distance to facilities. DISCUSSION AND CONCLUSION: Skewed workloads across facilities and regions indicate uneven surgical delivery, with potentially variable care quality and provider efficiency. The need for a more system-wide and inter-linked approach to referral coordination and human resource management is evident in the results. Existing task-shifting practices, along with incapacities induced by structural factors, signal the directions for possible policy action.

Analysis of demand and influencing factors for smart senior care among older adults in underdeveloped regions of western China: a case study of Lanzhou.

Introduction: With the rapid development of artificial intelligence and Internet-of-Things technology, internal support systems among families are gradually weakening, which can no longer satisfy the current demands of older adults. In this context, smart senior care has become a new development direction. However, existing studies on the demand for smart senior care are primarily concentrated in economically developed provinces and mega-cities in eastern China; their research results or conclusions may not apply to underdeveloped areas in the Western region. Therefore, our study selects Lanzhou as a representative city in an underdeveloped western region to investigate the demand of older adults for smart senior care and analyze the influencing factors. Methods: This cross-sectional study included 4,815 older adults from Lanzhou, China. A structured questionnaire was designed to investigate the demands of the older adults for smart senior care and analyze thie influencing factors. The Chi-square test was used for single factor analysis of each variable. The logistic regression model included the statistically significant variables to analyze factors influencing older adults' demand for smart senior care. A significance level of p < 0.05 was considered statistically significant. Results: Among the surveyed older adults, 1,625 (33.75%) expressed a demand for smart senior care. The finding indicated that participants' age, level of education, marital status, monthly income, number of children, type of endowment insurance, and knowledge of smart senior care were significantly associated with their demands for smart senior care (p < 0.05). Notably, medical care emerged as the smart senior care service with the highest demand rate (79.45%). Conclusion: In Lanzhou, older adults show a low level of knowledge but a high demand for smart senior care. Their demand is influenced by personal, family, health conditions, senior care security, and other factors. To advance smart senior care, government departments should accelerate the improvement of the laws and regulations on smart senior care while vigorously enhancing the service's publicity to raise knowledge about it. Additionally, the service contents for smart senior care should be expanded to meet the diversified demands of older adults.

Using Respondent-Driven Sampling (RDS) to Identify the Healthcare Needs among Women of Reproductive Age Who Migrated from Venezuela to Brazil, 2018-2021.

In 2021, an RDS survey was conducted among Venezuelan migrant women of reproductive age who migrated to two Brazilian cities (Manaus and Boa Vista) from 2018 to 2021. To start the RDS recruitment, we chose seeds non-randomly in both cities. The study variables were age, educational level, self-rated health, pregnancy, migratory status and use of health services. We estimated the prevalence, confidence intervals and homophily effects by variable category. We used a multivariate logistic regression model to identify the main factors associated with healthcare use. A total of 761 women were recruited in Manaus and 1268 in Boa Vista. Manaus showed more irregular migrants than Boa Vista. The main reasons for using health services were as follows: illness, disease prevention and prenatal care. The logistic regression model showed the use of health services was associated with educational level and healthcare needs but not with migratory status. The social inclusion of Venezuelan migrants is extremely relevant, although many challenges must be overcome. The strategy of the Brazilian Federal Government for providing humanitarian assistance to Venezuelan migrants should be expanded to include and facilitate their integration into labor markets, access to healthcare and education, benefiting both migrants and the Brazilian people by reducing social inequality.

Unmet needs and harm reduction preferences of syringe services program participants: differences by co-use of illicit opioids and methamphetamine.

BACKGROUND: The current fourth wave of the United States opioid overdose epidemic is characterized by the co-use of opioids and stimulants, including illicit opioids and methamphetamine. The co-use of these two drugs, known as "goofballing," is associated with higher risk for several adverse outcomes, including more frequent injections, greater health risks, and higher morbidity. Considering these differences, this unique subpopulation of people who inject drugs (PWID) may also have unique unmet needs and harm reduction preferences. METHODS: We collected self-reported data from participants (N = 50) of a syringe services program (SSP), including basic needs and harm reduction preferences. Using bivariate analyses, we examined differences between SSP participants who do and do not co-use illicit opioids and methamphetamine. Co-use was defined as reporting the use of both drugs, which may or may not have been used simultaneously. RESULTS: In the overall sample, the mean level of need was highest for bus passes or other transportation, a person who can help you get the services you need, medication for opioid use disorder, and a job or job training. Additionally, all participants reported being either interested or very interested in fentanyl test strips, safe consumption sites, delivery of syringe service supplies, and delivery of naloxone. Those who endorsed co-use had a greater need for food, healthcare, substance use disorder treatment, a support person to help them access needed services, and bus passes or transportation. CONCLUSIONS: Unmet needs were prevalent, and the desire for more harm reduction services was high among these PWID. Results also suggest people who co-use illicit opioids and methamphetamine may have the greatest unmet needs and desire for additional harm reduction services.

HIV status and substance use disorder treatment need and utilization among adults in the United States, 2015-2019: Implications for healthcare service provision and integration.

INTRODUCTION: Substance use disorders (SUD) are associated with HIV acquisition and care disruptions. Most research focuses on clinical samples; however, we used a nationally representative, community-based sample to estimate SUD treatment need and utilization by HIV status. METHODS: We included participants from the 2015-2019 National Survey on Drug Use and Health aged 18 and older who met past-year DSM-IV SUD criteria (n = 22,166). Participants self-reported whether a healthcare professional ever told them they had HIV or AIDS [i.e., people with HIV (PWH), non-PWH, HIV status unknown]. Outcomes included past-year: 1) any SUD treatment use; 2) any specialty SUD treatment use; and 3) perceived SUD treatment need. Survey weighted multivariable logistic regression models estimated the likelihood of each outcome by HIV status, adjusting for age, sex, race/ethnicity, education, survey year, health insurance status, and household income. RESULTS: Overall, 0.5 % were PWH and 0.8 % had an HIV unknown status. Any past-year SUD treatment utilization was low across all groups (10.3 % non-PWH, 24.2 % PWH, and 17.3 % HIV status unknown respondents). Specialty SUD treatment utilization was reported by 7.2 % of non-PWH, 17.8 % PWH, and 10.9 % HIV status unknown respondents. Perceived treatment need was reported by 4.9 % of non-PWH, 12.4 % of PWH, and 3.7 % of HIV status unknown respondents. In adjusted models, PWH were more likely than non-PWH to report any past-year SUD treatment utilization (aOR = 2.06; 95 % CI = 1.08-3.94) or past-year specialty SUD treatment utilization (aOR = 2.07; 95 % CI = 1.07-4.01). Among those with a drug use disorder other than cannabis, respondents with HIV-unknown status were less likely than HIV-negative individuals to report past-year perceived treatment need (aOR = 0.39; 95 % CI = 0.20-0.77). CONCLUSIONS: Despite high SUD treatment need among PWH, more than three quarters of PWH with SUD reported no past-year treatment. Compared to non-PWH, PWH had higher treatment utilization and higher specialty treatment utilization, but SUD treatment was low across all groups. As SUD is associated with adverse HIV outcomes, our findings highlight the need for the integration of SUD treatment with HIV testing and care. Increasing access to SUD treatment could help reduce negative SUD-related outcomes along the HIV care continuum.

Unmet healthcare needs, access to services and experiences with health providers among persons with spinal cord injury in Australia.

STUDY DESIGN: Cross-sectional survey. OBJECTIVES: Appropriate and timely lifelong access to healthcare following a spinal cord injury (SCI) is critical, yet unmet healthcare needs in this population are common. Poor experiences with healthcare providers can be a barrier to health-seeking behaviour, and we hypothesised that there would be an association between unmet healthcare needs and care experiences. This study aimed to: (1) describe healthcare provider utilisation in the past year, unmet care needs and satisfaction with healthcare services; (2) explore the association between experiences with healthcare providers and unmet healthcare needs; and (3) explore the association between healthcare provider utilisation and participant characteristics, including unmet healthcare needs. SETTING: Community. METHODS: Analysis of data for 1579 Australians aged ≥ 18, who were ≥ 1-year post-SCI and living in the community. Bayesian penalised regression was used to model six binary outcomes: unmet healthcare needs; the use of general practitioners (GPs), allied health practitioners, rehabilitation specialists; medical specialists; and hospitalisations in the past 12-months. RESULTS: Unmet needs were reported by 17% of participants, with service cost the common deterrent. There was evidence of an effect for provider experiences on unmet healthcare needs, but no evidence that unmet healthcare needs was associated with the use of GPs, allied health practitioners, and rehabilitation or medical specialists. CONCLUSIONS: Unmet healthcare needs were reported in the context of high healthcare use and large proportions of secondary conditions in a cohort with long-term SCI. Improved health access for people with SCI include better primary-secondary care collaboration is needed.

Unmet need for family planning and associated factors among currently married women in Nepal: A further analysis of Nepal Demographic and Health Survey-2022.

INTRODUCTION: Family planning (FP) is crucial for improving maternal and newborn health outcomes, promoting gender equality, and reducing poverty. Unmet FP needs persist globally, especially in South Asia and Sub-Saharan Africa leading to unintended pregnancies, unsafe abortions, and maternal fatalities. This study aims to identify the determinants of unmet needs for FP from a nationally representative survey. METHODS: We analyzed the data of 11,180 currently married women from nationally representative Nepal Health Demographic Survey 2022. We conducted weighted analysis in R statistical software to account complex survey design and non-response rate. We conducted univariate and multivariable binary and multinomial logistic regression to assess association of unmet need for FP with independent variables including place of residence, province, ecological belt, ethnicity, religion, current age, participant's and husband's education, occupation, wealth quintile, parity, desire for child, and media exposure. RESULTS: The total unmet FP need was 20.8% (95%CI: 19.7, 21.9) accounting 13.4% (95%CI: 12.5, 14.4) for unmet need for limiting and 7.4% (95%CI: 6.8, 8.0) for unmet for spacing. Lower odds of total unmet need for FP were present in 20-34 years and 35-49 years compared to <20 years, women belonging to Madhesi ethnic group (AOR: 0.78; 95%CI: 0.64, 0.95) compared to Brahmin/Chhetri, women from richest (AOR: 0.69; 95%CI: 0.56, 0.84), richer (AOR: 0.82; 95%CI: 0.68, 0.97) and middle wealth quintile (AOR: 0.82; 95%CI:0.70, 0.98) groups compared poorest wealth quintile group and women belonging to rural area (AOR: 0.89; 95%CI: 0.80, 0.99) compared to urban area. Higher odds of unmet need for FP were present among women with basic (AOR: 1.34; 95%CI: 1.17, 1.54), and secondary level (AOR: 1.32; 95%CI: 1.12, 1.56) education compared to women without education, among women from Madhesh (AOR: 1.56; 95%CI: 1.22, 1.98), Gandaki (AOR: 2.11; 95%CI: 1.66, 2.68), Lumbini (AOR: 1.97; 95%CI: 1.61, 2.42) and Sudurpashchim province (AOR: 1.64; 95%CI: 1.27, 2.10) compared to Koshi province and among women whose husband education was basic level (AOR:1.37; 95%CI: 1.15, 1.63), or secondary level (AOR: 1.32; 95%CI: 1.09, 1.60) education. CONCLUSION: Nepal faces relatively high unmet FP needs across various socio-demographic strata. Addressing these needs requires targeted interventions focusing on age, ethnicity, religion, education, and socio-economic factors to ensure universal access to FP services.

Discussions of Cancer Survivorship Care Needs: Are There Rural Versus Urban Inequities?

BACKGROUND: Rural cancer survivors may face greater challenges receiving survivorship care than urban cancer survivors. PURPOSE: To test for rural versus urban inequities and identify other correlates of discussions about cancer survivorship care with healthcare professionals. METHODS: Data are from the 2017 Medical Expenditure Panel Survey (MEPS), which included a cancer survivorship supplement. Adult survivors were asked if they discussed with a healthcare professional 5 components of survivorship care: need for follow-up services, lifestyle/health recommendations, emotional/social needs, long-term side effects, and a summary of treatments received. The Behavioral Model of Health Services guided the inclusion of predisposing, enabling, and need factors in ordered logit regression models of each survivorship care variable. RESULTS: A significantly lower proportion of rural than urban survivors (42% rural, 52% urban) discussed in detail the treatments they received, but this difference did not persist in the multivariable model. Although 69% of rural and 70% of urban ssurvivors discussed in detail their follow-up care needs, less than 50% of both rural and urban survivors discussed in detail other dimensions of survivorship care. Non-Hispanic Black race/ethnicity and time since treatment were associated with lower odds of discussing 3 or more dimensions of survivorship care. CONCLUSIONS: This study found only a single rural/urban difference in discussions about survivorship care. With the exception of discussions about the need for follow-up care, rates of discussing in detail other dimensions of survivorship care were low among rural and urban survivors alike.