Researchers sought to examine whether there are patterns of oral hypoglycemic-agent adherence among primary-care patients with type 2 diabetes that are related to patient characteristics and clinical outcomes. Longitudinal analysis via growth curve mixture modeling was carried out to classify 180 patients who participated in an adherence intervention according to patterns of adherence to oral hypoglycemic agents across 12 weeks. Three patterns of change in adherence were identified: adherent, increasing adherence, and nonadherent. Global cognition and intervention condition were associated with pattern of change in adherence (p < .05). Patients with an increasing adherence pattern were more likely to have an Hemoglobin A1c (HbA1c) < 7%; adjusted odds ratio = 14.52, 95% CI (2.54, 82.99) at 12 weeks, in comparison with patients with the nonadherent pattern. Identification of patients with type 2 diabetes at risk of nonadherence is important for clinical prognosis and the development and delivery of interventions.
Abstract Study Objectives Pediatricians lack tools to support families at home for the promotion of childhood sleep. We are using the Multiphase Optimization Strategy (MOST) framework to guide the development of a mobile health platform for childhood sleep promotion. The objective of this study is to demonstrate feasibility of a mobile health platform towards treating children with insufficient sleep. Methods Children aged 10–12 years were enrolled (Study #1: N = 30; Study #2: N = 43). Participants wore a sleep tracker to measure sleep duration. Data were retrieved by a mobile health platform, programmed to send introductory messages during run-in (2 weeks) and goal achievement messages during intervention (7 weeks) periods. In study #1, participants were randomized to control, gain-framed incentive or loss-framed incentive arms. In study #2, participants were randomized to control, loss-framed incentive, normative feedback or loss-framed incentive plus normative feedback arms. Results In study #1, 1514 nights of data were captured (69%) and sleep duration during the intervention was higher by an average of 21 (95% CI: −8, 51) and 34 (95% CI: 7, 61) minutes per night for the gain-framed and loss-framed arms, respectively, compared to controls. In study #2, 2,689 nights of data were captured (81%), with no major differences in average sleep duration between the control and the loss-framed or normative feedback arms. Conclusions We have developed and deployed a mobile health platform that can capture sleep data and remotely communicate with families. Promising candidate intervention components will be further investigated under the optimization phase of the MOST framework. Clinical Trials Both studies included in this manuscript were registered at clinicaltrials.gov: -Study #1: NCT03263338 -Study #2: NCT03426644
Abstract Introduction Maternal sleep disturbance is common during pregnancy and is associated with adverse maternal and child outcomes, such as postpartum depression and preterm birth. The extent to which sleep disorder symptoms are normative among women of reproductive age, however, is largely unknown. The present study’s primary aim was to explore cumulative sleep morbidity and the incidence of disorder-specific symptoms among reproductive-aged women of different childbearing statuses. Methods Sleep morbidity variables were examined cross-sectionally among three groups of reproductive-aged nulliparous women: those 1) currently pregnant (n=148), 2) currently intending to conceive (n=233), and 3) not currently intending to conceive (n=379). All subjects self-reported sleep disorder symptoms at baseline using the Sleep Disorders Symptom Checklist-25 (SDS-CL-25). This instrument measures symptoms related to 13 sleep disorders scaled 0 (never) to 4 (> 5 days per week). Average scores were calculated for each item, each of 13 sleep disorders, and for the whole instrument (0-100). Results Initial results indicated that pregnant women (M=22.80, SD=11.49) had a higher rate of cumulative sleep morbidity than women who were intending to conceive (M=20.33, SD=11.14) and women who were not intending to conceive (M=20.15, SD=12.03) (p=.05). Pregnant women also had increased rates of insomnia (M pregnant=8.38, SD=3.77; M intending=6.86, SD=3.60; M not intending=6.53, SD=3.47; p<.001) and restless legs syndrome/periodic limb movement disorder (M pregnant=2.77, SD=3.05; M intending=2.02, SD=2.28; M not intending=1.99, SD=2.43; p= .004) as compared to non-pregnant women. Conclusion These data suggest, as is widely held, that pregnant women have greater levels of sleep disturbance than women of a common reproductive age who are currently intending to conceive or who are not currently intending to conceive. The observed sleep disturbance appears to be limited to sleep initiation and maintenance and RLS/PLMs symptomatology. Additional analyses are ongoing. Support Perlis & Kloss: R21HD083628; Perlis K24AG055602
In Brief Objectives Disease surveillance by clinicians is critical to public health activities, yet studies have demonstrated significant underreporting of reportable diseases by clinicians. We sought to determine whether an intervention utilizing electronic media increases public health reporting by clinicians. Methods A nonrandomized, controlled design with 24-week baseline and intervention outcome periods was used. Five intervention hospitals in the county of Philadelphia received a three-component intervention that included e-mail memoranda, a Web site, and a handheld computer program. Intervention components provided education and information to assist with reporting. Control hospitals comprised all remaining hospitals in the county. Results E-mails were sent to more than 16500 clinicians and administrative personnel at five hospitals on each of three occasions. The Web site received 866 visits, and the handheld computer program was downloaded 130 times. Intervention hospitals had a mean increase of 5.6 reports, whereas control hospitals had a mean decrease of 3.0 reports (P = .02). Conclusions The electronic information–based intervention led to a significant increase in clinician reporting of reportable diseases. Considering the ease and low cost of implementing such programs, they are an attractive method for increasing clinician reporting of public health conditions. This article demonstrates the effect of an Internet-based intervention for improving disease reporting by clinicians. The ease and low cost of implementation of such programs make them an attractive method for increasing clinician reporting.
This study examines the search behavior of Gen Zs on YouTube and TikTok. It uses Purposive sampling to choose 10 participants who are Gen Zs, individuals ranging from 11-26 years old, residing at Barangay Bagumbayan of Santa Cruz, Laguna. It is only limited to Gen Zs who are young achievers and young professionals, and are using both YouTube and TikTok. It utilizes Uses and Gratification Theory to explore the search experiences of Gen Zs. The researchers conduct face-to-face semi-structured interviews to gather data, followed by thematic approach with themes derived from the transcripts of the interviews. It aims to understand the search purposes, predetermined intentions, and shifts in preference among Gen Z users. The findings revealed that informational, navigational, and transactional are the search purposes in utilizing YouTube and TikTok. Gen Zs have different predetermined intentions when maximizing those platforms. These predetermined intentions encompass completeness of information, convenience, engagement, legitimacy, and viewer preference. It was also found that the reasons Gen Zs in shifting their preference in utilizing content from YouTube and TikTok are retention, validity of information, exposure, and valuable, and usefulness.
The COVID-19 pandemic posed challenges to measuring mother-infant interactions, a critical outcome for many interventions to support mothers with postpartum depression symptoms and their new infants. The current study describes the process and lessons learned from implementing a remote assessment of mother-infant interactions during the pandemic.
Research reveals mixed evidence for the effects of adenotonsillectomy (AT) on cognitive tests in children with obstructive sleep apnea syndrome (OSAS). The primary aim of the study was to investigate effects of AT on cognitive test scores in the randomized Childhood Adenotonsillectomy Trial.Children ages 5 to 9 years with OSAS without prolonged oxyhemoglobin desaturation were randomly assigned to watchful waiting with supportive care (n = 227) or early AT (eAT, n = 226). Neuropsychological tests were administered before the intervention and 7 months after the intervention. Mixed model analysis compared the groups on changes in test scores across follow-up, and regression analysis examined associations of these changes in the eAT group with changes in sleep measures.Mean test scores were within the average range for both groups. Scores improved significantly (P < .05) more across follow-up for the eAT group than for the watchful waiting group. These differences were found only on measures of nonverbal reasoning, fine motor skills, and selective attention and had small effects sizes (Cohen's d, 0.20-0.24). As additional evidence for AT-related effects on scores, gains in test scores for the eAT group were associated with improvements in sleep measures.Small and selective effects of AT were observed on cognitive tests in children with OSAS without prolonged desaturation. Relative to evidence from Childhood Adenotonsillectomy Trial for larger effects of surgery on sleep, behavior, and quality of life, AT may have limited benefits in reversing any cognitive effects of OSAS, or these benefits may require more extended follow-up to become manifest.
Summary According to the “3P model” of insomnia, the variable that mediates the transition from acute insomnia (AI) to chronic insomnia is “sleep extension” (the behavioural tendency to expand sleep opportunity to compensate for sleep loss). In the present analysis, we sought to evaluate how time in bed (TIB) varies relative to the new onset of AI and chronic insomnia. A total of 1,248 subjects were recruited as good sleepers (GS). Subjects were monitored over 1 year with sleep diaries. State transitions were defined, a priori, for AI, recovered from AI (AI‐REC), and for chronic insomnia (AI‐CI). Two additional groupings were added based on profiles that were unanticipated: subjects that exhibited persistent poor sleep following AI (AI‐PPS [those that neither recovered or developed chronic insomnia]) and subjects that recovered from chronic insomnia (CI‐REC). All the groups (GS, AI‐REC, AI–CI, AI‐PPS and CI‐REC) were evaluated for TIB differences with longitudinal mixed effects models. Post hoc analyses for the percentage of the groups that were typed as TIB “restrictors, maintainers, and expanders” were conducted using longitudinal mixed effects models and contingency analyses. Significant differences for pre–post AI TIB were not detected for the insomnia groups. Trends were apparent for the AI‐CI group, which suggested that minor increases in TIB occurred weeks before the declared onset of AI. Additionally, it was found that a significantly larger percentage of AI‐CI subjects engaged in sleep extension (as compared to GS). The present data suggest that transition from AI to chronic insomnia does not appear to be initiated by sleep extension and the transition may occur before the elapse of 3 months of ≥3 nights of sleep continuity disturbance. Given these findings, it may be that the mismatch between sleep ability and sleep opportunity is perpetuated over time given the failure to “naturally” engage in sleep restriction (as opposed to sleep extension).
11583 Background: This was a randomized control trial to estimate the effect of an interventional video on improving palliative care knowledge and acceptability of outpatient services in gynecologic oncology patients. Methods: Women receiving active treatment for gynecologic malignancy (persistent or progressive disease despite primary treatment) were recruited at an academic tertiary care center from 2/2018 to 1/2019 and randomized to: palliative care educational video or non-directive cancer center informational video (control). The primary outcome was desire for referral to palliative care. Function and knowledge were assessed using the Functional Assessment of Cancer Therapy (FACT-G) and the Palliative Care Knowledge Scales. Data analyses were performed using t-tests, Wilcoxon rank sum or Fisher’s exact tests with significance level of α=0.05. Results: 111 women were enrolled. Demographic characteristics were equally distributed between groups (mean age 63.4 vs 65.4 years; 78% vs 82% Caucasian, 58% vs 68% stage III, 71% vs 64% ovarian cancer, 65% vs 72% platinum-sensitive). There was no statistical difference in knowledge scores or in desire for referral to palliative care (29% vs 27%; p=0.79). Secondary analysis showed a statistically significant increase in utilization of palliative care services compared to historic institutional data (8.8% to 29.7%; p=<0.001). Further, those that desired referral had significantly worse FACT-G scores at time of referral choice (table). Conclusions: Use of a palliative care educational video did not increase knowledge or acceptability of palliative care services within this RCT. However, the rate of patients seeking palliative care referral tripled compared to historic rates. Further studies should investigate whether discussion regarding palliative care services alone may increase desire for referral, and if use of Fact-G scores may identify patients in greatest need of services. [Table: see text]
