Nevin Manimala

JMIR Hum Factors. 2024 Aug 12;11:e52310. doi: 10.2196/52310.

ABSTRACT

BACKGROUND: Mobile health (mHealth) solutions can improve the quality, accessibility, and equity of health services, fostering early rehabilitation. For individuals with hearing loss, mHealth apps might be designed to support the decision-making processes in auditory diagnostics and provide treatment recommendations to the user (eg, hearing aid need). For some individuals, such an mHealth app might be the first contact with a hearing diagnostic service and should motivate users with hearing loss to seek professional help in a targeted manner. However, personalizing treatment recommendations is only possible by knowing the individual’s profile regarding the outcome of interest.

OBJECTIVE: This study aims to characterize individuals who are more or less prone to seeking professional help after the repeated use of an app-based hearing test. The goal was to derive relevant hearing-related traits and personality characteristics for personalized treatment recommendations for users of mHealth hearing solutions.

METHODS: In total, 185 (n=106, 57.3% female) nonaided older individuals (mean age 63.8, SD 6.6 y) with subjective hearing loss participated in a mobile study. We collected cross-sectional and longitudinal data on a comprehensive set of 83 hearing-related and psychological measures among those previously found to predict hearing help seeking. Readiness to seek help was assessed as the outcome variable at study end and after 2 months. Participants were classified into help seekers and nonseekers using several supervised machine learning algorithms (random forest, naïve Bayes, and support vector machine). The most relevant features for prediction were identified using feature importance analysis.

RESULTS: The algorithms correctly predicted action to seek help at study end in 65.9% (122/185) to 70.3% (130/185) of cases, reaching 74.8% (98/131) classification accuracy at follow-up. Among the most important features for classification beyond hearing performance were the perceived consequences of hearing loss in daily life, attitude toward hearing aids, motivation to seek help, physical health, sensory sensitivity personality trait, neuroticism, and income.

CONCLUSIONS: This study contributes to the identification of individual characteristics that predict help seeking in older individuals with self-reported hearing loss. Suggestions are made for their implementation in an individual-profiling algorithm and for deriving targeted recommendations in mHealth hearing apps.

PMID:39133539 | DOI:10.2196/52310

Acta Crystallogr A Found Adv. 2024 Sep 1. doi: 10.1107/S2053273324007642. Online ahead of print.

ABSTRACT

Obituary for Dieter Schwarzenbach.

PMID:39133510 | DOI:10.1107/S2053273324007642

JAMA Pediatr. 2024 Aug 12. doi: 10.1001/jamapediatrics.2024.2578. Online ahead of print.

ABSTRACT

IMPORTANCE: Infants with neonatal opioid withdrawal syndrome (NOWS) cared for with the Eat, Sleep, Console (ESC) care approach receive less pharmacologic treatment and have shorter hospital stays compared to usual care with the Finnegan Neonatal Abstinence Scoring Tool, but the effects of these approaches on feeding and weight are unknown.

OBJECTIVE: To evaluate feeding practices and weight trajectories in infants cared for with ESC vs usual care.

DESIGN, SETTING, AND PARTICIPANTS: ESC-NOW is a cluster randomized trial of infants with NOWS born at 36 weeks’ gestation or later at 26 US hospitals from September 2020 to March 2022. Each site transitioned from usual care to ESC (the study intervention) at a randomized time. Feeding was per site practice and not specified by the intervention. Feeding and weight outcomes were assessed at hospital discharge.

INTERVENTION: ESC vs usual care.

MAIN OUTCOMES AND MEASURES: Outcomes include prospectively identified secondary end points related to feeding and weight. z Scores were used for growth to account for corrected gestational age at the time of measurement. All analyses were intention to treat and adjusted for study design. Maternal/infant characteristics were included in adjusted models.

RESULTS: The analyses included 1305 infants (702 in usual care and 603 in ESC; mean [SD] gestational age, 38.6 [1.3] weeks; 655 [50.2%] male and 650 [49.8%] female). Baseline demographic characteristics were similar between groups. The proportion of breastfed infants was higher in the ESC group (52.7% vs 41.7%; absolute difference, 11%; 95% CI, 1.0-20.9). A higher proportion of infants cared for with ESC received exclusive breast milk (15.1% vs 6.7%; absolute difference, 8.4%; 95% CI, 0.9-5.8) or any breast milk (38.8% vs 27.4%; absolute difference, 11.4%; 95% CI, 0.2-23.1) and were directly breastfeeding at discharge (35.2% vs 19.5%; absolute difference, 15.7%; 95% CI, 4.1-27.3). There was no difference in proportion of infants with weight loss greater than 10% or maximum percentage weight loss, although infants cared for with ESC had a lower weight z score on day of life 3 (-1.08 vs -1.01; absolute difference, 0.07; 95% CI, 0.02-0.12). When pharmacologic treatment was added into the model, no breastfeeding outcomes were statistically significant.

CONCLUSIONS AND RELEVANCE: In this study, infants cared for with ESC were more likely to initiate and continue breastfeeding and had no difference in percentage weight loss. The improvement in breastfeeding with ESC may be driven by reduction in pharmacologic treatment and provision of effective nonpharmacologic care.

TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT04057820.

PMID:39133505 | DOI:10.1001/jamapediatrics.2024.2578

JAMA Netw Open. 2024 Aug 1;7(8):e2426402. doi: 10.1001/jamanetworkopen.2024.26402.

ABSTRACT

IMPORTANCE: Many US children and adolescents with mental and behavioral health (MBH) conditions do not access MBH services. One contributing factor is limited insurance coverage, which is influenced by state MBH insurance parity legislation.

OBJECTIVE: To investigate the association of patient-level factors and the comprehensiveness of state MBH insurance legislation with perceived poor access to MBH care and perceived inadequate MBH insurance coverage for US children and adolescents.

DESIGN, SETTING, AND PARTICIPANTS: This retrospective cross-sectional study was conducted using responses by caregivers of children and adolescents aged 6 to 17 years with MBH conditions in the National Survey of Children’s Health and State Mental Health Insurance Laws Dataset from 2016 to 2019. Data analyses were conducted from May 2022 to January 2024.

EXPOSURE: MBH insurance legislation comprehensiveness defined by State Mental Health Insurance Laws Dataset (SMHILD) scores (range, 0-7).

MAIN OUTCOMES AND MEASURES: Perceived poor access to MBH care and perceived inadequacy of MBH insurance were assessed. Multivariable regression models adjusted for individual-level characteristics.

RESULTS: There were 29 876 caregivers of children and adolescents with MBH conditions during the study period representing 14 292 300 youths nationally (7 816 727 aged 12-17 years [54.7%]; 8 455 171 male [59.2%]; 292 543 Asian [2.0%], 2 076 442 Black [14.5%], and 9 942 088 White [69.6%%]; 3 202 525 Hispanic [22.4%]). A total of 3193 caregivers representing 1 770 492 children and adolescents (12.4%) perceived poor access to MBH care, and 3517 caregivers representing 1 643 260 of 13 175 295 children and adolescents (12.5%) perceived inadequate MBH insurance coverage. In multivariable models, there were higher odds of perceived poor access to MBH care among caregivers of Black (adjusted odds ratio [aOR], 1.35; 95% CI, 1.04-1.75) and Asian (aOR, 1.69; 95% CI, 1.01-2.84) compared with White children and adolescents. As exposures to adverse childhood experiences (ACEs) increased, the odds of perceived poor access to MBH care increased (aORs ranged from 1.68; 95%, CI 1.32-2.13 for 1 ACE to 4.28; 95% CI, 3.17-5.77 for ≥4 ACEs compared with no ACEs). Compared with living in states with the least comprehensive MBH insurance legislation (SMHILD score, 0-2), living in states with the most comprehensive legislation (SMHILD score, 5-7) was associated with lower odds of perceived poor access to MBH care (aOR, 0.79; 95% CI, 0.63-0.99), while living in states with moderately comprehensive legislation (score, 4) was associated with higher odds of perceived inadequate MBH insurance coverage (aOR, 1.23; 95% CI, 1.01-1.49).

CONCLUSIONS AND RELEVANCE: In this study, living in states with the most comprehensive MBH insurance legislation was associated with lower odds of perceived poor access to MBH care among caregivers for children and adolescents with MBH conditions. This finding suggests that advocacy for comprehensive mental health parity legislation may promote improved child and adolescent access to MBH services.

PMID:39133489 | DOI:10.1001/jamanetworkopen.2024.26402

JAMA Netw Open. 2024 Aug 1;7(8):e2427241. doi: 10.1001/jamanetworkopen.2024.27241.

ABSTRACT

IMPORTANCE: Rates of overdose deaths involving synthetic opioids remain high, increasingly involve stimulants combined with opioids, and are increasing rapidly in racially and ethnically minoritized communities, yet little is known about access to harm reduction and treatment services in these groups.

OBJECTIVE: To characterize access and barriers to harm reduction and treatment in a racially and ethnically diverse population of people who use drugs.

DESIGN, SETTING, AND PARTICIPANTS: A cross-sectional telephone survey of people recruited from 39 treatment, harm reduction, and social service organizations in Milwaukee County, Wisconsin; Flint and Detroit, Michigan; and statewide in New Jersey was conducted from January 30 to July 28, 2023. Adults who used cocaine, methamphetamine, or opioids in the past 30 days called a study hotline and completed an interview in English or Spanish.

EXPOSURES: Overdose experience, drug types used (opioids only, stimulants only, and polysubstance), and social risk factors (eg, financial instability and criminal legal involvement).

MAIN OUTCOMES AND MEASURES: Recent use of any harm reduction services, fentanyl test strips, naloxone possession, treatment, and self-reported barriers to services.

RESULTS: Of the total sample of 1240 adults, 486 (39.2%) were Black non-Hispanic, 183 (14.8%) were Hispanic, and 464 (37.4%) were White non-Hispanic. In the past 30 days, 826 individuals (66.6%) were polysubstance users, 135 (10.9%) used only opioids, and 279 (22.5%) used only stimulants. A total of 349 respondents (28.1%) experienced a prior-year overdose. Compared with those without a prior-year overdose, people with overdose were more likely to possess naloxone (80.7% vs 68.2%; P < .001), possess fentanyl test strips (36.8% vs 23.5%; P < .001), and use harm reduction services (63.4% vs 53.0%; P = .003), while differences in treatment use were nonsignificant (52.0% vs 46.6%; P = .24). Among stimulant-only users, 51.4% possessed naloxone compared with 77.3% of opioid-only users (P < .001) and 77.6% of polysubstance users (P < .001), with similar disparities in fentanyl test strip possession.

CONCLUSIONS AND RELEVANCE: In this cross-sectional study of people who used drugs in the past 30 days, findings highlighted low use of harm reduction and treatment services among people who use stimulants. Additional communication regarding their importance may help increase the use of the services amidst a rapidly changing drug supply.

PMID:39133486 | DOI:10.1001/jamanetworkopen.2024.27241

Am J Respir Crit Care Med. 2024 Aug 12. doi: 10.1164/rccm.202407-1278ED. Online ahead of print.

NO ABSTRACT

PMID:39133483 | DOI:10.1164/rccm.202407-1278ED

Am J Alzheimers Dis Other Demen. 2024 Jan-Dec;39:15333175241275215. doi: 10.1177/15333175241275215.

ABSTRACT

OBJECTIVE: To assess the role of Machine Learning (ML) in identification critical factors of dementia and mild cognitive impairment.

METHODS: 371 elderly individuals were ultimately included in the ML analysis. Demographic information (including gender, age, parity, visual acuity, auditory function, mobility, and medication history) and 35 features from 10 assessment scales were used for modeling. Five machine learning classifiers were used for evaluation, employing a procedure involving feature extraction, selection, model training, and performance assessment to identify key indicative factors.

RESULTS: The Random Forest model, after data preprocessing, Information Gain, and Meta-analysis, utilized three training features and four meta-features, achieving an area under the curve of 0.961 and a accuracy of 0.894, showcasing exceptional accuracy for the identification of dementia and mild cognitive impairment.

CONCLUSIONS: ML serves as a identification tool for dementia and mild cognitive impairment. Using Information Gain and Meta-feature analysis, Clinical Dementia Rating (CDR) and Neuropsychiatric Inventory (NPI) scale information emerged as crucial for training the Random Forest model.

PMID:39133478 | DOI:10.1177/15333175241275215

J Patient Rep Outcomes. 2024 Aug 12;8(1):90. doi: 10.1186/s41687-024-00772-2.

ABSTRACT

BACKGROUND: Social risk such as housing instability, trouble affording medical care and food insecurity are a downstream effect of social determinants of health (SDOHs) and are frequently associated with worse health. SDOHs include experiences of racism, sexism and other discrimination as well as differences in income and education. The collective effects of each social risk a person reports are called cumulative social risk. Cumulative social risk has traditionally been measured through counts or sum scores that treat each social risk as equivalent. We have proposed to use item response theory (IRT) as an alternative measure of person-reported cumulative social risk as IRT accounts for the severity in each risk and allows for more efficient screening with computerized adaptive testing.

METHODS: We conducted a differential item functioning (DIF) analysis comparing IRT-based person-reported cumulative social risk scores by income and education in a population-based sample (n = 2122). Six social risk items were analyzed using the two-parameter logistic model and graded response model.

RESULTS: Analyses showed no DIF on an IRT-based cumulative social risk score by education level for the six items examined. Statistically significant DIF was found on three items by income level but the ultimate effect on the scores was negligible.

CONCLUSIONS: Results suggest an IRT-based cumulative social risk score is not biased by education and income level and can be used for comparisons between groups. An IRT-based cumulative social risk score will be useful for combining datasets to examine policy factors affecting social risk and for more efficient screening of patients for social risk using computerized adaptive testing.

PMID:39133444 | DOI:10.1186/s41687-024-00772-2

J Patient Rep Outcomes. 2024 Aug 12;8(1):93. doi: 10.1186/s41687-024-00770-4.

ABSTRACT

PURPOSE: To investigate whether the same health state results in the same distribution of responses on the EQ-5D youth and adult descriptive systems.

METHODS: Adolescents aged 13-18 years with a range of health conditions and from the general school going population were recruited in South Africa (ZA) and Ethiopia (ET). In ZA participants completed the English EQ-5D-3L, EQ-5D-Y-3L and EQ-5D-5L in parallel. Whereas in ET participants completed the Amharic EQ-5D-5L and EQ-5D-Y-5L in parallel. Analysis aimed to describe the transition between youth and adult instruments and not differences between countries.

RESULTS: Data from 592 adolescents completing the EQ-5D-3L, EQ-5D-Y-3L and EQ-5D-5L (ZA) and 693 completing the EQ-5D-5L and EQ-5D-Y-5L (ET) were analysed. Adolescents reported more problems on the youth versions compared to the adult version for the dimension of mental health. 13% and 4% of adolescents who reported no problems on the EQ-5D-3L and EQ-5D-5L reported some problems on the EQ-5D-Y-3L respectively. This was less notable with transition between the five level versions with 4% of adolescents reporting more problems on the EQ-5D-Y-5L than the EQ-5D-5L. Very few adolescents reported severe problems (level 3 on the EQ-5D-3L or EQ-5D-Y-3L and level 4 and level 5 on the EQ-5D-5L or EQ-5D-5L) thus there was little variation between responses between the versions. In ZA, discriminatory power, measured on the Shannon’s Index, was higher for Y-3L compared to 3L for pain/discomfort (ΔH’=0.11) and anxiety/depression (ΔH’=0.04) and across all dimensions for Y-3L compared to 5L. Similarly, in ET discriminatory power was higher for Y-5L than 5L (ΔH’ range 0.05-0.09). Gwet’s AC showed good to very good agreement across all paired (ZA) 3L and (ET) 5L dimensions. The summary score of all EQ-5D versions were able to differentiate between known disease groups.

CONCLUSION: Despite the overall high levels of agreement between EQ-5D instruments for youth and for adults, they do not provide identical results in terms of health state, from the same respondent. The differences were most notable for anxiety/depression. These differences in the way individuals respond to the various descriptive systems need to be taken into consideration for descriptive analysis, when transitioning between instruments, and when comparing preference-weighted scores.

PMID:39133433 | DOI:10.1186/s41687-024-00770-4

Arch Dermatol Res. 2024 Aug 12;316(8):511. doi: 10.1007/s00403-024-03254-z.

ABSTRACT

The under-eye region is an area of significant cosmetic concern. Photobiomodulation (PBM) has emerged as an effective, safe, inexpensive, and convenient treatment for skin rejuvenation. Herein, we aim to evaluate the safety and efficacy of a LED under-eye device for under-eye rejuvenation, as measured by objective and patient reported outcomes. Eleven participants self-administered treatment using a commercially available LED device emitting red (633 nm) and near infrared (830 nm) light for six weeks. Standardized photographs and questionnaires were administered at baseline and six weeks. Photographic digital analysis indicated an improvement in under-eye wrinkles at six weeks compared to baseline, with a reduction in wrinkle score from 20.05 to 19.72. However, this finding was not statistically significant. Participants self-reported consistent improvements in under-eye wrinkles, texture, dark circles, bags, pigmentation, and erythema. All participants reported a high degree of comfortability, ease of use, and satisfaction with the eye device. The participants noted no moderate or severe adverse events and few reports of transient expected outcomes such as mild erythema. The participants’ self-reported improvements and high user satisfaction, and the device’s favorable safety profile, highlights the benefits of at-home LED devices for under-eye rejuvenation. Future randomized controlled trials with larger sample sizes could further establish the safety and efficacy of at-home LED under-eye treatments.

PMID:39133416 | DOI:10.1007/s00403-024-03254-z