Health Care Use Research Articles

Potential of Large Language Models in Health Care: Delphi Study.

A large language model (LLM) is a machine learning model inferred from text data that captures subtle patterns of language use in context. Modern LLMs are based on neural network architectures that incorporate transformer methods. They allow the model to relate words together through attention to multiple words in a text sequence. LLMs have been shown to be highly effective for a range of tasks in natural language processing (NLP), including classification and information extraction tasks and generative applications. The aim of this adapted Delphi study was to collect researchers' opinions on how LLMs might influence health care and on the strengths, weaknesses, opportunities, and threats of LLM use in health care. We invited researchers in the fields of health informatics, nursing informatics, and medical NLP to share their opinions on LLM use in health care. We started the first round with open questions based on our strengths, weaknesses, opportunities, and threats framework. In the second and third round, the participants scored these items. The first, second, and third rounds had 28, 23, and 21 participants, respectively. Almost all participants (26/28, 93% in round 1 and 20/21, 95% in round 3) were affiliated with academic institutions. Agreement was reached on 103 items related to use cases, benefits, risks, reliability, adoption aspects, and the future of LLMs in health care. Participants offered several use cases, including supporting clinical tasks, documentation tasks, and medical research and education, and agreed that LLM-based systems will act as health assistants for patient education. The agreed-upon benefits included increased efficiency in data handling and extraction, improved automation of processes, improved quality of health care services and overall health outcomes, provision of personalized care, accelerated diagnosis and treatment processes, and improved interaction between patients and health care professionals. In total, 5 risks to health care in general were identified: cybersecurity breaches, the potential for patient misinformation, ethical concerns, the likelihood of biased decision-making, and the risk associated with inaccurate communication. Overconfidence in LLM-based systems was recognized as a risk to the medical profession. The 6 agreed-upon privacy risks included the use of unregulated cloud services that compromise data security, exposure of sensitive patient data, breaches of confidentiality, fraudulent use of information, vulnerabilities in data storage and communication, and inappropriate access or use of patient data. Future research related to LLMs should not only focus on testing their possibilities for NLP-related tasks but also consider the workflows the models could contribute to and the requirements regarding quality, integration, and regulations needed for successful implementation in practice.

Treatment Patterns, Acute Healthcare Resource Use, and Costs of Patients with Treatment-Resistant Depression Completing Induction Phase of Esketamine in the United States.

This study aimed to understand treatment patterns, acute healthcare use, and cost patterns among adults with treatment-resistant depression (TRD) who completed induction treatment with esketamine nasal spray in the United States (US). Per label, induction is defined as administration twice a week for 4 weeks, after which maintenance is started on a weekly basis for 4 weeks, and thereafter, patients are treated weekly or bimonthly. Adults with one or more esketamine claim (index date) on or after March 5, 2019 were selected from Optum's de-identified Clinformatics® Data Mart Database (January 2016-June 2022). Before the index date, patients had evidence of TRD and ≥12 months of continuous insurance eligibility (baseline period). Patients with eight or more esketamine treatment sessions were included in the main cohort. A subgroup included patients with one or more baseline mental health (MH)-related inpatient (IP) admission or emergency department (ED) visit (i.e., prior acute healthcare users). Treatment patterns were described during the follow-up period (index date until earliest of end of insurance eligibility or data); acute healthcare (i.e., IP and ED) resource use and costs (2021 US dollars) were reported during the baseline and follow-up periods. Of the 322 patients in the main cohort, 111 comprised the subgroup of prior acute healthcare users. During the follow-up period, mean time from index date to eighth esketamine session was 73.2days in the main cohort and 78.8days in the subgroup (per label, 28days). Further, 75.2% of the main cohort and 73.9% of the subgroup completed four or more esketamine maintenance sessions following induction. In the main cohort, mean all-cause acute healthcare costs per patient per month (PPPM) decreased from baseline ($837) to follow-up ($770). Similar reductions were observed for mean MH-related acute healthcare costs PPPM (baseline $648, follow-up $577). In the subgroup, mean all-cause acute healthcare costs PPPM also decreased (baseline $2323, follow-up $1423), driven by mean MH-related acute healthcare costs PPPM (baseline $1880, follow-up $1139). Mean all-cause acute healthcare use per ten patients per month remained largely stable from baseline to follow-up in the main cohort (IP days: baseline 2.24, follow-up 2.13; ED visits: baseline 1.33, follow-up 1.45) and decreased in the subgroup (IP days: baseline 6.38, follow-up 4.56; ED visits: baseline 2.58, follow-up 2.41). Trends in mean MH-related acute healthcare use were similar. Patients generally required more time than label recommendation to complete esketamine induction treatment, and most went on to have 12 or more esketamine sessions. Completion of induction treatment correlated with reductions in mean all-cause and MH-related acute healthcare costs. Larger reductions were seen in the subgroup of prior acute healthcare users.

Long-Term Effect of Home Blood Pressure Self-Monitoring Plus Medication Self-Titration for Patients With Hypertension

Patient empowerment through pharmacologic self-management is a common strategy for some chronic diseases such as diabetes, but it is rarely used for controlling blood pressure (BP). Several trials have shown its potential for reducing BP in the short term, but evidence in the longer term is scarce. To evaluate the longer-term effectiveness of BP self-monitoring plus self-titration of antihypertensive medication vs usual care for patients with poorly controlled hypertension, with passive follow-up and primary-care nursing involvement. The ADAMPA (Impact of Self-Monitoring of Blood Pressure and Self-Titration of Medication in the Control of Hypertension) study was a randomized, unblinded clinical trial with 2 parallel arms conducted in Valencia, Spain. Included participants were patients 40 years or older, with systolic BP (SBP) over 145 mm Hg and/or diastolic BP (DBP) over 90 mm Hg, recruited from July 21, 2017, to June 30, 2018 (study completion, August 25, 2020). Statistical analysis was conducted on an intention-to-treat basis from August 2022 to February 2024. Participants were randomized 1:1 to usual care vs an individualized, prearranged plan based on BP self-monitoring plus medication self-titration. The main outome was the adjusted mean difference (AMD) in SBP between groups at 24 months of follow-up. Secondary outcomes were the AMD in DBP between groups at 24 months of follow-up, proportion of patients reaching the BP target (SBP <140 mm Hg and DBP <90 mm Hg), change in behaviors, quality of life, health service use, and adverse events. Among 312 patients included in main trial, data on BP measurements at 24 months were available for 219 patients (111 in the intervention group and 108 in the control group). The mean (SD) age was 64.3 (10.1) years, and 120 patients (54.8%) were female; the mean (SD) SBP was 155.6 (13.1) mm Hg, and the mean (SD) diastolic BP was 90.8 (7.7) mm Hg. The median follow-up was 23.8 months (IQR, 19.8-24.5 months). The AMD in SBP at the end of follow-up was -3.4 mm Hg (95% CI, -4.7 to -2.1 mm Hg; P < .001), and the AMD in DBP was -2.5 mm Hg (95% CI, -3.5 to -1.6 mm Hg; P < .001). Subgroup analysis for the main outcome showed consistent results. Sensitivity analyses confirmed the robustness of the main findings. No differences were observed between groups in behaviors, quality of life, use of health services, or adverse events. In this secondary analysis of a randomized clinical trial, BP self-monitoring plus self-titration of antihypertensive medication based on an individualized prearranged plan used in primary care reduced BP in the longer term with passive follow-up compared with usual care, without increasing health care use or adverse events. These results suggest that simple, inexpensive, and easy-to-implement self-management interventions have the potential to improve the long-term control of hypertension in routine clinical practice. ClinicalTrials.gov Identifier: NCT03242785.

Influencing Factor on School-Age Children’s Holistic Health Care Who Using Online Media by Working-Age Parents in Northeast Thailand

Background. Thailand tends to have more access to online media. In 2020, the northeastern region had the highest usage rate. Especially school-age children have the highest usage rate. If misused for a long time, the consequences can adversely affect health in many aspects. Their parents should closely supervise and monitor them for this health problem. However, parents have limitations in caring because they have to work a lot. The aim was to study factors that influence working-age parents in holistic health care (HHC) of school-age children using online media in northeast Thailand. Materials and Methods. This research was a descriptive study, with a sample of parent amount 222. The questionnaire performed an item-objective congruence (IOC) = 0.60–1.00, the content validity index (CVI) = 0.90, and the Cronbach’s alpha coefficient was 0.93. The data collected then include the characteristics, use of online media, health problems, and health care. Finally, data were analyzed using descriptive statistics, frequency, percentage, standard deviation, and multiple regressions. Result. The results of the study are factors that influenced HHC with statistical significance (p≤.001) including the child’s gender, the child’s age, the child’s class, the type of internet, activities, the device, and the device owner. In addition, it was holistic health problems of school-age children such as physical, emotional, social, and intellectual. Importantly, these could explain the variation for HHC of 21.2% (adjusted R2 = 0.212), and the standard error in the model estimation was 25.06 (SEE = 25.06). Conclusion. Factors that influence school-age children’s health care are beneficial to preventing and solving health problems by using online media. Parents or health care professionals can use it as a guide to develop more effective health care strategies and policies. Ultimately, it will help to promote better health for children in an ever-changing digital world.

Foot and ankle problems in children and young people: a population-based cohort study.

The aim of this research was to describe the epidemiology, presentation and healthcare use in primary care for foot and ankle problems in children and young people (CYP) across England. We undertook a population-based cohort study using data from the Clinical Practice Research Datalink Aurum database, a database of anonymised electronic health records from general practices across England. Data was accessed for allCYP aged 0-18 years presenting to their general practitioner between January 2015 and December 2021 with a foot and/or ankle problem. Consultation rates were calculated and used to estimate numbers of consultations in an average practice. Hierarchical Poisson regression estimated relative rates of consultations across sociodemographic groups and logistic regression evaluated factors associated with repeat consultations. A total of 416,137 patients had 687,753 foot and ankle events, of which the majority were categorised as "musculoskeletal" (34%) and "unspecified pain" (21%). Rates peaked at 601 consultations per 10,000 patient-years among males aged 10-14 years in 2018. An average practice might observe 132 (95% CI 110 to 155) consultations annually. Odds for repeat consultations were higher among those with pre-existing diagnoses including juvenile arthritis (OR 1.73, 95% CI 1.48 to 2.03). Conclusions: Consultations for foot and ankleproblems were high among CYP, particularly males aged 10 to 14 years. These data can inform service provision to ensure CYP access appropriate health professionals for accurate diagnosis and treatment. What is Known: • Foot and ankle problems can have considerable impact on health-related quality of life in children and young people (CYP). • There is limited data describing the nature and frequency of foot and ankle problems in CYP. What is New: • Foot and ankle consultations were higher in English general practice among CYP aged 10 to 14 years compared to other age groups, and higher among males compared to females. • The high proportion of unspecified diagnoses and repeat consultations suggests there is need for greater integration between general practice and allied health professionals in community-based healthcare settings.

Web-based intervention for young adults experiencing anxiety and hazardous alcohol use: Study protocol for an 18-month randomized controlled trial.

Alcohol use and anxiety often co-occur, causing increased severity impairment. This protocol describes a randomized controlled trial (RCT) that aims to test the efficacy and cost-effectiveness of a web-based, self-guided alcohol and anxiety-focused program, compared with a web-based brief alcohol-focused program, for young adults who drink at hazardous levels and experience anxiety. It will also test moderators and mechanisms of change underlying the intervention effects. This RCT will be conducted with a 1:1 parallel group. The study will be a web-based trial in Australia. Individuals aged 17-30 years who drink alcohol at hazardous or greater levels and experience at least mild anxiety (n = 500) will be recruited through social media, media (TV, print) and community networks. Participants will be randomly allocated to receive a web-based, integrated alcohol-anxiety program plus technical and motivational telephone/e-mail support (intervention) or a web-based brief alcohol-feedback program (control). Clinical measures will be assessed at baseline, post-intervention (2months), 6months (primary end-point), 12 months and 18 months. Co-primary outcomes are hazardous alcohol consumption and anxiety symptom severity. Secondary outcomes are binge-drinking frequency; alcohol-related consequences; depression symptoms; clinical diagnoses of alcohol use or anxiety disorder (at 6months post-intervention), health-care service use, educational and employment outcomes; and quality of life. Mediators and moderators will also be assessed. Efficacy will be tested using mixed models for repeated measures within an intention-to-treat framework. The economic evaluation will analyze individual-level health and societal costs and outcomes of participants between each trial arm, while mediation models will test for mechanisms of change. This will be the first trial to test whether a developmentally targeted, web-based, integrated alcohol-anxiety intervention is effective in reducing hazardous alcohol use and anxiety severity among young adults. If successful, the integrated alcohol-anxiety program will provide an accessible intervention that can be widely disseminated to improve wellbeing of young adults, at minimal cost.

Comparing natural language processing representations of coded disease sequences for prediction in electronic health records.

Natural language processing (NLP) algorithms are increasingly being applied to obtain unsupervised representations of electronic health record (EHR) data, but their comparative performance at predicting clinical endpoints remains unclear. Our objective was to compare the performance of unsupervised representations of sequences of disease codes generated by bag-of-words versus sequence-based NLP algorithms at predicting clinically relevant outcomes. This cohort study used primary care EHRs from 6286233 people with Multiple Long-Term Conditions in England. For each patient, an unsupervised vector representation of their time-ordered sequences of diseases was generated using 2 input strategies (212 disease categories versus 9462 diagnostic codes) and different NLP algorithms (Latent Dirichlet Allocation, doc2vec, and 2 transformer models designed for EHRs). We also developed a transformer architecture, named EHR-BERT, incorporating sociodemographic information. We compared the performance of each of these representations (without fine-tuning) as inputs into a logistic classifier to predict 1-year mortality, healthcare use, and new disease diagnosis. Patient representations generated by sequence-based algorithms performed consistently better than bag-of-words methods in predicting clinical endpoints, with the highest performance for EHR-BERT across all tasks, although the absolute improvement was small. Representations generated using disease categories perform similarly to those using diagnostic codes as inputs, suggesting models can equally manage smaller or larger vocabularies for prediction of these outcomes. Patient representations produced by sequence-based NLP algorithms from sequences of disease codes demonstrate improved predictive content for patient outcomes compared with representations generated by co-occurrence-based algorithms. This suggests transformer models may be useful for generating multi-purpose representations, even without fine-tuning.

Smartphone applications are used for self-management, telerehabilitation, evaluation and data collection in low back pain healthcare: a scoping review

Background Smartphone use has grown in providing healthcare for patients with low back pain (LBP), but the literature lacks an analysis of the use of smartphone apps. This scoping review aimed to identify current areas of smartphone apps use for managing LBP. We also aimed to evaluate the current status of the effectiveness or scientific validity of such use and determine perspectives for their potential development. Methods We searched PubMed, PEDro and Embase for articles published in English up to May 3rd, 2021 that investigated smartphone use for LBP healthcare and their purpose. All types of study design were accepted. Studies concerning telemedicine or telerehabilitation but without use of a smartphone were not included. The same search strategy was performed by two researchers independently and a third researcher validated the synthesis of the included studies. Results We included 43 articles: randomised controlled trials (RCTs) (n=12), study protocols (n=6), reliability/validity studies (n=6), systematic reviews (n=7), cohort studies (n=4), qualitative studies (n=6), and case series (n=1). The purposes of the smartphone app were for 1) evaluation, 2) telerehabilitation, 3) self-management, and 4) data collection. Self-management was the most-studied use, showing promising results derived from moderate- to good-quality RCTs for patients with chronic LBP and patients after spinal surgery. Promising results exist regarding evaluation and data collection use and contradictory results regarding measurement use. Conclusions This scoping review revealed a notable interest in the scientific literatures regarding the use of smartphone apps for LBP patients. The identified purposes point to current scientific status and perspectives for further studies including RCTs and systematic reviews targeting specific usage.

Validity of claims-based definition of number of remaining teeth in Japan: Results from the Longevity Improvement and Fair Evidence Study.

Secondary healthcare data use has been increasing in the dental research field. The validity of the number of remaining teeth assessed from Japanese dental claims data has been reported in several studies, but has not been tested in the general population in Japan. To evaluate the validity of the number of remaining teeth assessed from Japanese dental claims data and assess its predictability against subsequent health deterioration. We used the claims data of residents of a municipality that implemented oral health screening programs. Using the number of teeth in the screening records as the reference standard, we assessed the validity of the claims-based number of teeth by calculating the mean differences. In addition, we assessed the association between the claims-based number of teeth and pneumococcal disease (PD) or Alzheimer's disease (AD) in adults aged ≥65 years using Cox proportional hazards analyses. Of the 10,154 participants, the mean number of teeth assessed from the claims data was 20.9, that in the screening records was 20.5, and their mean difference was 0.5. During the 3-year follow-up, PD or AD onset was observed in 10.4% (3,212/30,838) and 5.3% (1,589/30,207) of participants, respectively. Compared with participants with ≥20 teeth, those with 1-9 teeth had a 1.29 (95% confidence interval [CI]: 1.17-1.43) or 1.19 (95% CI: 1.04-1.36) times higher risk of developing PD or AD, respectively. High validity of the claims-based number of teeth was observed. In addition, the claims-based number of teeth was associated with the risk of PD and AD.

Care trajectories around a first dementia diagnosis in patients with serious mental illness.

To develop a typology of care trajectories (CTs) 1 year before and after a first dementia diagnosis in individuals aged ≥65 years, with prevalent schizophrenia or bipolar disorder. This was a longitudinal, retrospective cohort study using health administrative data (1996-2016) from Quebec (Canada). We selected patients aged ≥65 years with an incident diagnosis of dementia between 1 January 2014 and 31 December 2016, and a diagnosis of schizophrenia and/or or bipolar disorder. A CT typology was generated by a multidimensional state sequence analysis based on the "6 W" model of CTs. Three dimensions were considered: the care setting ("where"), the reason for consultation ("why") and the specialty of care providers ("which"). In total, 3868 patients were categorized into seven distinct types of CTs, with varying patterns of healthcare use and comorbidities. Healthcare use differed in terms of intensity, but also in its distribution around the diagnosis. For instance, whereas one group showed low healthcare use, healthcare use abruptly increased or decreased after the diagnosis in other groups, or was equally distributed. Other significant differences between CTs included mortality rates and use of long-term care after the diagnosis. Most patients (67%) received their first dementia diagnosis during hospitalization. Our innovative approach provides a unique insight into the complex healthcare patterns of people living with serious mental illness and dementia, and provides an avenue to support data-driven decision-making by highlighting fragility areas in allocating care resources. Geriatr Gerontol Int 2024; ••: ••-••.

Identifying gaps in healthcare: a qualitative study of Ukrainian refugee experiences in the German system, uncovering differences, information and support needs

BackgroundThe 5.8 million Ukrainian refugees arriving in European countries must navigate varying healthcare systems and different and often unknown languages in their respective host countries. To date, there has been little exploration of the experiences, perceived differences, information and support needs of these refugees regarding the use of healthcare in Germany.MethodsWe conducted ten qualitative interviews with Ukrainian refugees living in Germany from February to May 2023, using Ukrainian, English and German language. The transcribed interviews were analysed using the qualitative content analysis method according to Kuckartz and Rädiker with the MAXQDA software.ResultsIn general, participants consistently had a positive experience of the German healthcare system, particularly regarding the quality of treatments and insurance. Differences have been reported in the structure of the healthcare systems. The Ukrainian healthcare system is divided into private and state sectors, with no mandatory insurance and frequent out-of-pocket payments. Pathways differ and tend to focus more on clinics and private doctors. General practitioners, often working in less well-equipped offices, have only recently gained prominence due to healthcare system reforms. Initiating contact with doctors is often easier, with much shorter waiting times compared to Germany. Interviewees often found the prescription requirements for many medications in Germany to be unusual. However, the mentioned differences in healthcare result in unmet information needs among the refugees, especially related to communication, navigating the healthcare system, health insurance, waiting times and medication access. These needs were often addressed through personal internet research and informal (social media) networks because of lacking official information provided during or after their arrival.ConclusionsDespite the positive experiences of Ukrainian refugees in the German healthcare system, differences in the systems and language barriers led to barriers using healthcare and information needs among refugees. The dissemination of information regarding characteristics of the German health care system is crucial for successful integration but is currently lacking.Trial RegistrationGerman Clinical Trials Register: DRKS00030942, date of registration: 29.12.2022.

When the smoke gets in your lungs: short-term effects of Indonesia’s 2015 forest fires on health care use

BackgroundThe forest fires that ravaged parts of Indonesia in 2015 were the most severely polluting of this century but little is known about their effects on health care utilization of the affected population. We estimate their short-term impact on visit rates to primary and hospital care with particular focus on visits for specific smoke-related conditions (respiratory disease, acute respiratory tract infection (ARTI) and common cold).MethodWe estimate the short-term impact of the 2015 forest fire on visit rates to primary and hospital care by combining satellite data on Aerosol Optical Depth (AOD) with administrative records from Indonesian National Health Insurance Agency (BPJS Kesehatan) from January 2015–April  2016. The 16 months of panel data cover 203 districts in the islands of Sumatra and Kalimantan before, during and after the forest fires. We use the (more efficient) ANCOVA version adaptation of a fixed effects model to compare the trends in healthcare use of affected districts (with AOD value above 0.75) with control districts (AOD value below 0.75). Considering the higher vulnerability of children’s lungs, we do this separately for children under 5 and the rest of the population adults (> 5), and for both urban and rural areas, and for both the period during and after the forest fires.ResultsWe find little effects for adults. For young children we estimate positive effects for care related to respiratory problems in primary health care facilities in urban areas. Hospital care visits in general, on the other hand, are negatively affected in rural areas. We argue that these patterns arise because accessibility of care during fires is more restricted for rural than for urban areas.ConclusionThe severity of the fires and the absence of positive impact on health care utilization for adults and children in rural areas indicate large missed opportunities for receiving necessary care. This is particularly worrisome for children, whose lungs are most vulnerable to the effects. Our findings underscore the need to ensure ongoing access to medical services during forest fires and emphasize the necessity of catching up with essential care for children after the fires, particularly in rural areas.

Healthcare use and out-of-pocket costs for rural family caregivers and care recipients in a randomized controlled trial.

Rural family caregivers (FCGs) in the United States often experience high economic costs. This randomized controlled trial compared a transitional palliative care intervention (TPC) to support FCGs of seriously ill care recipients (CRs) to an attention control condition. We evaluated the TPC's effect on healthcare use and out-of-pocket spending for both FCGs and CRs. TPC FCGs received teaching, guidance, and counseling via video calls for 8 weeks following CR discharge from the hospital. After discharge, a research assistant called all FCGs once a month for up to 6 months or CR death to collect self-reported healthcare utilization (e.g., outpatient, emergency department, and hospital), out-of-pocket healthcare spending (e.g., deductibles and coinsurance), and health-related travel costs (e.g., transportation, lodging, food) for FCGs and CRs. Incidence rate ratios (IRRs) were estimated using negative binomial regressions. The study included 282 FCG-CR dyads across three U.S. states. Follow-up over the 6-month period was shortened by high CR mortality rates across both arms (29%), but was similar across arms. TPC reduced nights in the hospital for CR (IRR = 0.75; 95% confidence interval [CI] = 0.56-0. 99). Total out-of-pocket spending was not significantly different for TPC versus control. Across both groups, mean out-of-pocket spending for dyads was $1401.85, with healthcare payments contributing $1048.58 and transportation expenses contributing $136.79. TPC dyads reported lower lodging costs (IRR = 0.71; 95% CI = 0.56-0.89). This study contributes to evidence that palliative care interventions reduce the number of nights in the hospital for seriously ill patients. Yet, overall rural FCGs and seriously ill CRs experience substantial out-of-pocket economic costs in the 6 months following hospitalization. Transitional care intervention design should consider impacts on patient and caregiver spending. gov # is NCT03339271.

Observing the Clinical Course of Duchenne Muscular Dystrophy in Medicaid Real-World Healthcare Data.

Duchenne muscular dystrophy (DMD) is a rare, severe progressive neuromuscular disease. Health insurance claims allow characterization of population-level real-world outcomes, based on observed healthcare resource use. An analysis of data specific to those with Medicaid insurance is presently unavailable. The objective was to describe the real-world clinical course of DMD based on claims data from Medicaid-insured individuals in the USA. Individuals with DMD were identified from the MarketScan Multi-State Medicaid datasets (2013-2018). Diagnosis and procedure codes from healthcare claims were used to characterize the occurrence of DMD-relevant clinical observations; categories were scoliosis, cardiovascular-related, respiratory and severe respiratory-related, and neurologic/neuropsychiatric. Age-restricted analyses were conducted to focus on the ages at which DMD-relevant clinical observations were more likely to be captured, and to better understand the impact of both age and follow-up time. Of 2007 patients with DMD identified, median (interquartile range) age at index was 14 (9-20) years, and median follow-up was 3.1 (1.6-4.7) years. Neurologic and neuropsychiatric observations were most frequently identified, among 49.3% of the cohort; followed by cardiovascular (48.5%), respiratory (38.1%), scoliosis (36.3%), and severe respiratory (25.0%). Prevalence estimates for each category were higher when analyzed within age-restricted subgroups; and increased as follow-up time increased. This study is the first to use diagnosis and procedure codes from real-world Medicaid claims to document the clinical course in DMD. Findings were consistent with previously published estimates from commercially insured populations and clinical registries; and contribute to the expanding body of real-world evidence around clinical progression of patients with DMD.

Health Service Use and Costs During Pregnancy Among Privately Insured Individuals With Congenital Heart Disease.

Individuals with congenital heart disease (CHD) are increasingly reaching childbearing age, are more prone to adverse pregnancy events, and uncommonly undergo recommended cardiac evaluations. Data to better understand resource allocation and financial planning are lacking. To examine health care use and costs for patients with CHD during pregnancy. This retrospective cohort study was performed from January 1, 2010, to December 31, 2016, using Merative MarketScan commercial insurance data. Participants included patients with CHD and those without CHD matched 1:1 by age, sex, and insurance enrollment year. Pregnancy claims were identified for all participants. Data were analyzed from September 2022 to March 2024. Baseline characteristics (age, US region, delivery year, insurance type) and pregnancy-related events (obstetric, cardiac, and noncardiac conditions; birth outcomes; and cesarean delivery). Health service use (outpatient physician, nonphysician, emergency department, prescription drugs, and admissions) and costs (total and out-of-pocket costs adjusted for inflation to represent 2024 US dollars). A total of 11 703 pregnancies (mean [SD] maternal age, 31.5 [5.4] years) were studied, with 2267 pregnancies in 1785 patients with CHD (492 pregnancies in patients with severe CHD and 1775 in patients with nonsevere CHD) and 9436 pregnancies in 7720 patients without CHD. Compared with patients without CHD, pregnancies in patients with CHD were associated with significantly higher health care use (standardized mean difference [SMD] range, 0.16-1.46) and cost (SMD range, 0.14-0.55) except for out-of-pocket inpatient and ED costs. After adjustment for covariates, having CHD was independently associated with higher total (adjusted cost ratio, 1.70; 95% CI, 1.57-1.84) and out-of-pocket (adjusted cost ratio, 1.40; 95% CI, 1.22-1.58) costs. The adjusted mean total costs per pregnancy were $15 971 (95% CI, $15 480-$16 461) for patients without CHD, $24 290 (95% CI, $22 773-$25 806) for patients with any CHD, $26 308 (95% CI, $22 788-$29 828) for patients with severe CHD, and $23 750 (95% CI, $22 110-$25 390) for patients with nonsevere CHD. Patients with vs without CHD incurred $8319 and $700 higher total and out-of-pocket costs per pregnancy, respectively. This study provides novel, clinically relevant estimates for the cardio-obstetric team, patients with CHD, payers, and policymakers regarding health care and financial planning. These estimates can be used to carefully plan for and advocate for the comprehensive resources needed to care for patients with CHD.

Association of Medicare Home Health Ratings With Older Adult Fall Injuries: An Instrumental Variables Analysis

ObjectivesTo understand the role of high-quality home health care for fall prevention. DesignA 100% sample of national Medicare claims and home health survey data (2015-2017) were used to assess fall injuries and receipt of a fall risk assessment among recently hospitalized Medicare fee-for-service home health users aged ≥66 years. Subanalyses examined patients by prior fall history status and hospital admission diagnosis type (eg, neurologic, respiratory, cardiovascular, infection, and orthopedic diagnoses). An instrumental variables design addressed potential endogeneity in home health care use by patient fall risk. Setting and ParticipantsHome health agencies and Medicare fee-for-service beneficiaries. MethodsMultivariate regression and instrumental variables. ResultsAmong 962,610 patients with hospital discharges to home health, being treated by home health agencies with the highest star ratings in a person's zip code was associated with a 1.8–percentage point (ppt) (95% CI: 0.1, 3.5; P = .03) higher likelihood of receipt of fall risk assessment. There was no overall change in 30-day (−0.6 ppt, 95% CI: −1.3, 0.1; P = .09), 15-day (−0.3 ppt, 95% CI: −0.0.8, 0.2; P = .35), or 7-day fall injury risk (−0.2 ppt, 95% CI: −0.5, 0.1; P = .22), but a 1.9-ppt (95% CI: −3.9, −0.02; P = .048) lower 30-day fall injury risk for individuals with a history of falls. Effects were directionally similar by diagnosis type. Conclusions and ImplicationsFall injury risk is reduced at higher-rated home health agencies. Star ratings may be adequate indicators of quality for key outcomes not explicitly measured in the ratings.

Hospital at home for elderly acute patients: a study protocol for a randomised controlled trial

IntroductionThe increasing elderly population has led to a growing demand for healthcare services. A hospital at home treatment model offers an alternative to standard hospital admission, with the potential to...

SOCIOECONOMIC DEPRIVATION, HEALTH AND ACCESS TO HEALTHCARE AMONG MILLENNIALS

This study estimates and decomposes components of different measures of inequality in health and healthcare use among millennial adolescents, a sizeable cohort of individuals at a critical stage of life. Administrative data from the UK Hospital Episode Statistics are linked to Next Steps, a survey collecting information about millennials born between 1989 and 1990, providing a uniquely comprehensive source of health and socioeconomic variables. Socioeconomic inequalities in psychological distress, long-term illness and the use of emergency and outpatient hospital care are measured using a corrected concentration index. Shapley-Shorrocks decomposition techniques are employed to measure the relative contributions of childhood socioeconomic circumstances to adolescents’ health and healthcare inequality of opportunity. Results show that income-related deprivation contributes to significant inequalities in mental and physical health among adolescents aged between 15 and 17 years old. There are also pro-rich inequalities in the use of specific outpatient hospital services (e.g., orthodontic and mental healthcare), while pro-poor disparities are found in the use of emergency care services. Regional and parental circumstances are leading factors in influencing inequality of opportunity in the use of hospital care among adolescents. These findings shed light on the main drivers of health inequalities during an important stage of human development and have potentially important implications on human capital formation across the life-cycle.

A machine learning personalized treatment rule to optimize assignment to psychotherapies for grief among veterans

BackgroundComplex grief patterns are associated with significant suffering, functional impairments, health and mental health problems, and increased healthcare use. This burden may be even more pronounced among veterans. Behavioral Activation and Therapeutic Exposure (BATE-G) and Cognitive Therapy for Grief (CT-G) are two evidence-based interventions for grief. The goal of this study was to use a precision medicine approach to develop a personalized treatment rule to optimize assignment among these psychotherapies. MethodsWe analyzed data (N = 155) from a randomized clinical trial comparing BATE-G and CT-G. Outcome weighted learning was used to estimate an optimal personalized treatment rule. Baseline characteristics including demographics, social support, variables related to the death, and psychopathology dimensions were used as prescriptive factors of treatment assignment. ResultsThe estimated rule assigned 72 veterans to CT-G and 56 to BATE-G. Assigning participants according to this rule was estimated to lead to markedly lower mean grief level following 6 months from treatment compared to assigning everyone to either BATE-G (Vdopt – VBATE-G = −18.57 [95 % CI: (−29.41, −7.72)]) or CT-G (Vdopt – VBATE-G = −20.89 [95 % CI: (−30.7, −11.07)]) regardless of their characteristics. LimitationsParticipants were primarily male veterans, and identified with Black or White race. The estimated rule was not externally validated. ConclusionThe estimated rule used relatively simple, easily accessible, client characteristics to personalize assignment to treatment using a precision medicine approach based on machine learning and causal inference. Upon further validation, such a rule can be easily implemented in clinical practice to prescriptively maximize treatment benefits.

Awareness, willingness to use pre-exposure prophylaxis, and use of post-exposure prophylaxis for HIV prevention among men who have sex with men in Mexico.

Little is known about awareness and willingness to use or purchase HIV pre-exposure prophylaxis (PrEP) among men who have sex with men (MSM) in Mexico. MSM in Mexico were recruited via advertisements on online social venues to participate in Encuesta de Sexo Entre Hombres, an online behavioral survey. Awareness of PrEP, willingness to take PrEP if available for free, willingness to purchase PrEP, awareness of post-exposure prophylaxis (PEP), and ever PEP use were assessed in descriptive and multivariate analyses. Overall, 54.8% (4588/8376) of participants were aware of PrEP. Of those aware, 77.6% were willing to use PrEP if free and 52.6% were willing to purchase PrEP, generally at a maximum monthly cost of $500MXP. Both awareness of and willingness to use PrEP if free or for purchase were significantly greater among MSM who were younger, and varied by demographic, recent healthcare use, and behavioral risk factors. Only 8.2% had ever used PEP, which was highly associated with healthcare utilization. About half of Mexican MSM were aware of PrEP. The majority of those aware were willing to use PrEP if available for free and many were willing to purchase PrEP at low cost. Leveraging demographic, recent healthcare use, and behavioral risk characteristics associated with awareness and willingness to use PrEP could be useful in designing future PrEP programs for MSM in Mexico. Expanding healthcare settings in which PEP is available may also support identifying candidates for PrEP and scaling up PrEP implementation.