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1.
JMIR Public Health Surveill ; 10: e53330, 2024 Jul 02.
Article in English | MEDLINE | ID: mdl-38666756

ABSTRACT

BACKGROUND: The prevalence of type 2 diabetes mellitus (DM) and pre-diabetes mellitus (pre-DM) has been increasing among youth in recent decades in the United States, prompting an urgent need for understanding and identifying their associated risk factors. Such efforts, however, have been hindered by the lack of easily accessible youth pre-DM/DM data. OBJECTIVE: We aimed to first build a high-quality, comprehensive epidemiological data set focused on youth pre-DM/DM. Subsequently, we aimed to make these data accessible by creating a user-friendly web portal to share them and the corresponding codes. Through this, we hope to address this significant gap and facilitate youth pre-DM/DM research. METHODS: Building on data from the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2018, we cleaned and harmonized hundreds of variables relevant to pre-DM/DM (fasting plasma glucose level ≥100 mg/dL or glycated hemoglobin ≥5.7%) for youth aged 12-19 years (N=15,149). We identified individual factors associated with pre-DM/DM risk using bivariate statistical analyses and predicted pre-DM/DM status using our Ensemble Integration (EI) framework for multidomain machine learning. We then developed a user-friendly web portal named Prediabetes/diabetes in youth Online Dashboard (POND) to share the data and codes. RESULTS: We extracted 95 variables potentially relevant to pre-DM/DM risk organized into 4 domains (sociodemographic, health status, diet, and other lifestyle behaviors). The bivariate analyses identified 27 significant correlates of pre-DM/DM (P<.001, Bonferroni adjusted), including race or ethnicity, health insurance, BMI, added sugar intake, and screen time. Among these factors, 16 factors were also identified based on the EI methodology (Fisher P of overlap=7.06×106). In addition to those, the EI approach identified 11 additional predictive variables, including some known (eg, meat and fruit intake and family income) and less recognized factors (eg, number of rooms in homes). The factors identified in both analyses spanned across all 4 of the domains mentioned. These data and results, as well as other exploratory tools, can be accessed on POND. CONCLUSIONS: Using NHANES data, we built one of the largest public epidemiological data sets for studying youth pre-DM/DM and identified potential risk factors using complementary analytical approaches. Our results align with the multifactorial nature of pre-DM/DM with correlates across several domains. Also, our data-sharing platform, POND, facilitates a wide range of applications to inform future youth pre-DM/DM studies.


Subject(s)
Diabetes Mellitus, Type 2 , Internet , Nutrition Surveys , Humans , Adolescent , Child , Female , Male , Diabetes Mellitus, Type 2/epidemiology , United States/epidemiology , Young Adult , Prediabetic State/epidemiology , Risk Factors , Datasets as Topic , Prevalence
2.
Article in English | MEDLINE | ID: mdl-38071603

ABSTRACT

BACKGROUND: Medicare-funded home healthcare (HHC) delivers skilled nursing, therapy, and related services through visits to the patient's home. Nearly one-third (31%) of HHC patients have diagnosed dementia, but little is currently known regarding how HHC utilization and care delivery differ for persons living with dementia (PLwD). METHODS: We drew on linked 2012-2018 Health and Retirement Study and Medicare claims for a national cohort of 1 940 community-living older adults. We described differences in HHC admission, length of stay, and referral source by patient dementia status and used weighted, multivariable logistic and negative binomial models to estimate the relationship between dementia and HHC visit type and intensity while adjusting for sociodemographic characteristics, health and functional status, and geographic/community factors. RESULTS: PLwD had twice the odds of using HHC during a 2-year observation period, compared to those without dementia (odds ratio [OR]: 2.03; p < .001). They were more likely to be referred to HHC without a preceding hospitalization (49.4% vs 32.1%; p < .001) and incurred a greater number of HHC episodes (1.4 vs 1.0; p < .001) and a longer median HHC length of stay (55.8 days vs 40.0 days; p < .001). Among post-acute HHC patients, PLwD had twice the odds of receiving social work services (unadjusted odds ratio [aOR]: 2.15; p = .008) and 3 times the odds of receiving speech-language pathology services (aOR: 2.92; p = .002). CONCLUSIONS: Findings highlight HHC's importance as a care setting for community-living PLwD and indicate the need to identify care delivery patterns associated with positive outcomes for PLwD and design tailored HHC clinical pathways for this patient subpopulation.


Subject(s)
Dementia , Home Care Services , Humans , Aged , United States/epidemiology , Medicare , Hospitalization , Delivery of Health Care , Dementia/epidemiology , Dementia/therapy
3.
J Am Med Dir Assoc ; 25(4): 697-703.e2, 2024 Apr.
Article in English | MEDLINE | ID: mdl-37931897

ABSTRACT

OBJECTIVES: A growing proportion of Medicare home health (HH) patients are "community-entry," meaning referred to HH without a preceding hospitalization. We sought to identify factors that predict community-entry HH use among older adults to provide foundational information regarding care needs and circumstances that may prompt community-entry HH referral. DESIGN: Nationally representative cohort study. SETTING AND PARTICIPANTS: Health and Retirement Study (HRS) respondents who were aged ≥65 years, community-living, and enrolled in Medicare between 2012 and 2018 (n = 11,425 unique individuals providing 27,026 two-year observation periods). METHODS: HRS data were linked with standardized HH patient assessments. Community-entry HH utilization was defined as incurring one or more HH episode with no preceding hospitalization or institutional post-acute care stay (determined via assessment item indicating institutional care within 14 days of HH admission) within 2 years of HRS interview. Weighted, multivariable logistic regression was used to model community-entry HH use as a function of individual, social support, and community characteristics. RESULTS: The overall rate of community-entry HH utilization across observation periods was 13.4%. Older adults had higher odds of community-entry HH use if they were Medicaid enrolled [adjusted odds ratio (aOR) = 1.49, P = .001], had fair or poor overall health (aOR = 1.48, P < .001), 3+ activities of daily living limitations (aOR = 1.47, P = .007), and had fallen in the past 2 years (aOR = 1.43, P < .001). Compared with those receiving no caregiver help, individuals were more likely to use community-entry HH if they received family or unpaid help only (aOR = 1.81, P < .001), both family and paid help (aOR = 2.79, P < .001), or paid help only (aOR: 3.46, P < .001). CONCLUSIONS AND IMPLICATIONS: Findings indicate that community-entry HH serves a population with long-term care needs and coexisting clinical complexity, making this an important setting to provide skilled care and prevent avoidable health care utilization. Results highlight the need for ongoing monitoring of community-entry HH accessibility as this service is a key component of home-based care for a high-need subpopulation.


Subject(s)
Home Care Services , Medicare , Aged , Humans , United States , Activities of Daily Living , Cohort Studies , Patient Acceptance of Health Care
4.
JAMA Netw Open ; 6(10): e2337508, 2023 Oct 02.
Article in English | MEDLINE | ID: mdl-37831454

ABSTRACT

This cross-sectional study assesses county-level differences in home-based medical care and home health care by social vulnerability and metropolitan status.


Subject(s)
Medicine , Social Vulnerability , Humans , Health Services , Health Services Accessibility
5.
medRxiv ; 2023 Aug 04.
Article in English | MEDLINE | ID: mdl-37577465

ABSTRACT

The prevalence of type 2 diabetes mellitus (DM) and prediabetes (preDM) is rapidly increasing among youth, posing significant health and economic consequences. To address this growing concern, we created the most comprehensive youth-focused diabetes dataset to date derived from National Health and Nutrition Examination Survey (NHANES) data from 1999 to 2018. The dataset, consisting of 15,149 youth aged 12 to 19 years, encompasses preDM/DM relevant variables from sociodemographic, health status, diet, and other lifestyle behavior domains. An interactive web portal, POND (Prediabetes/diabetes in youth ONline Dashboard), was developed to provide public access to the dataset, allowing users to explore variables potentially associated with youth preDM/DM. Leveraging statistical and machine learning methods, we conducted two case studies, revealing established and lesser-known variables linked to youth preDM/DM. This dataset and portal can facilitate future studies to inform prevention and management strategies for youth prediabetes and diabetes.

6.
Pilot Feasibility Stud ; 7(1): 205, 2021 Nov 15.
Article in English | MEDLINE | ID: mdl-34782018

ABSTRACT

BACKGROUND: People with severe mental illness (SMI) are less physically active and more sedentary than healthy controls, contributing to poorer physical health outcomes in this population. There is a need to understand the feasibility and acceptability, and explore the effective components, of health behaviour change interventions targeting physical activity and sedentary behaviour in this population in rural and semi-rural settings. METHODS: This 13-week randomised controlled feasibility trial compares the Walking fOR Health (WORtH) multi-component behaviour change intervention, which includes education, goal-setting and self-monitoring, with a one-off education session. It aims to recruit 60 inactive adults with SMI via three community mental health teams in Ireland and Northern Ireland. Primary outcomes are related to feasibility and acceptability, including recruitment, retention and adherence rates, adverse events and qualitative feedback from participants and clinicians. Secondary outcome measures include self-reported and accelerometer-measured physical activity and sedentary behaviour, anthropometry measures, physical function and mental wellbeing. A mixed-methods process evaluation will be undertaken. This study protocol outlines changes to the study in response to the COVID-19 pandemic. DISCUSSION: This study will address the challenges and implications of remote delivery of the WORtH intervention due to the COVID-19 pandemic and inform the design of a future definitive randomised controlled trial if it is shown to be feasible. TRIAL REGISTRATION: The trial was registered on clinicaltrials.gov ( NCT04134871 ) on 22 October 2019.

7.
Br J Psychiatry ; 217(3): 484-490, 2020 09.
Article in English | MEDLINE | ID: mdl-31339083

ABSTRACT

BACKGROUND: Early intervention in psychosis is a complex intervention, usually delivered in a specialist stand-alone setting, which aims to improve outcomes for people with psychosis. Previous studies have been criticised because the control used did not accurately reflect actual practice. AIMS: To evaluate the cost-effectiveness of early intervention by estimating the incremental net benefit (INB) of an early-intervention programme, delivered in a real-world setting. INB measures the difference in monetary terms between alternative interventions. METHOD: Two contemporaneous incidence-based cohorts presenting with first-episode psychosis, aged 18-65 years, were compared. Costs and outcomes were measured over 1 year. The main outcome was avoidance of a relapse that required admission to hospital or home-based treatment. RESULTS: From the health sector perspective, the probability that early intervention was cost-effective was 0.77. The INB was €2465 per person (95% CI - €4418 to €9347) when society placed a value of €6000, the cost of an in-patient relapse, on preventing a relapse requiring admission or home care. Following adjustment, the probability that early intervention was cost-effective was 1, and the INB to the health sector was €3105 per person (95% CI -€8453 to €14 663). From a societal perspective, the adjusted probability that early intervention was cost-effective was 1, and the INB was €19 928 per person (95% CI - €2075 to €41 931). CONCLUSIONS: Early intervention has a modest INB from the health sector perspective and a large INB from the societal perspective. The perspective chosen is critical when presenting results of an economic evaluation of a complex intervention.


Subject(s)
Psychotic Disorders , Adolescent , Adult , Aged , Cost-Benefit Analysis , Health Care Costs , Hospitalization , Humans , Middle Aged , Psychotic Disorders/therapy , Young Adult
8.
Psychiatr Clin North Am ; 39(2): 175-86, 2016 06.
Article in English | MEDLINE | ID: mdl-27216898

ABSTRACT

Although early intervention in psychosis is clinically intuitive and theoretically feasible, the reality is that over recent decades the evidence base to support it has not advanced as much as might have been anticipated. Material benefits of early intervention in established psychosis have not been universally demonstrated and much uncertainty continues to surround the field of treatment in the prodromal phase. Undoubtedly methodological differences between studies are relevant and better understanding of different treatment models and the effectiveness of their constituent parts may yield the most benefit, particularly from a public health perspective.


Subject(s)
Early Medical Intervention , Psychotic Disorders/therapy , Treatment Outcome , Cost-Benefit Analysis , Early Medical Intervention/economics , Humans , Ireland , Prodromal Symptoms , Psychotic Disorders/economics , Time Factors
9.
Early Interv Psychiatry ; 9(2): 141-50, 2015 Apr.
Article in English | MEDLINE | ID: mdl-23855315

ABSTRACT

AIM: To investigate general practitioners' current knowledge of and attitudes towards psychosis and its management by Cavan-Monaghan Mental Health Service, Ireland, prior to their involvement in the introduction of an early intervention service. METHODS: As part of a continuing medical education programme for psychosis, delivered to all 32 general practitioners practising in this region, participants were asked to complete a 29-item questionnaire designed to assess their baseline knowledge and attitudes. RESULTS: All 32 general practitioners participated in the study. Although 17% had received no previous psychiatric training, 93% described their knowledge of psychiatric disorders as average or above average. However, only 53% could correctly identify all of a set of psychiatric symptoms related to psychosis. Only 50% felt comfortable initiating treatment for psychotic symptoms. Whereas only 40% had heard of the early intervention model, 89% believed it to be advantageous. Easy accessibility to services and rapid assessment of patients referred were most commonly reported as helpful. However, concerns were expressed about the potential for associated increases in workload. CONCLUSIONS: As 'gatekeepers-in-waiting', these general practitioners will have a vital role in effective implementation of the early intervention service for psychosis. However, their knowledge needs improvement, through regular educational sessions, and this service must be responsive to their needs. In addition, general practitioners' concerns regarding the potential for increased workload must be adequately addressed in order to maintain enthusiasm and collaboration at the interface between primary care and mental health services, particularly in the context of early intervention.


Subject(s)
Early Medical Intervention , Health Knowledge, Attitudes, Practice , Physicians, Primary Care/psychology , Psychotic Disorders/psychology , Adult , Cross-Sectional Studies , Female , Humans , Ireland , Male , Mental Health Services , Middle Aged
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