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ObjectivesTo assess access children with HIV have to comprehensive HIV care services, to longitudinally evaluate the implementation and scale-up of services, and to use site services and clinical cohort data to explore whether access to these services influences retention in care.MethodsA cross-sectional standardised survey was completed in 2014–2015 by sites providing paediatric HIV care across regions of the International Epidemiology Databases to Evaluate AIDS (IeDEA) consortium. We developed a comprehensiveness score based on the WHO’s nine categories of essential services to categorise sites as ‘low’ (0–5), ‘medium’, (6–7) or ‘high’ (8–9). When available, comprehensiveness scores were compared with scores from a 2009 survey. We used patient-level data with site services to investigate the relationship between the comprehensiveness of services and retention.ResultsSurvey data from 174 IeDEA sites in 32 countries were analysed. Of the WHO essential services, sites were most likely to offer antiretroviral therapy (ART) provision and counselling (n=173; 99%), co-trimoxazole prophylaxis (168; 97%), prevention of perinatal transmission services (167; 96%), outreach for patient engagement and follow-up (166; 95%), CD4 cell count testing (126; 88%), tuberculosis screening (151; 87%) and select immunisation services (126; 72%). Sites were less likely to offer nutrition/food support (97; 56%), viral load testing (99; 69%) and HIV counselling and testing (69; 40%). 10% of sites rated ‘low’, 59% ‘medium’ and 31% ‘high’ in the comprehensiveness score. The mean comprehensiveness of services score increased significantly from 5.6 in 2009 to 7.3 in 2014 (p<0.001; n=30). Patient-level analysis of lost to follow-up after ART initiation estimated the hazard was highest in sites rated ‘low’ and lowest in sites rated ‘high’.ConclusionThis global assessment suggests the potential care impact of scaling-up and sustaining comprehensive paediatric HIV services. Meeting recommendations for comprehensive HIV services should remain a global priority.

Objective One path to improving weight management may be to lessen the self‐control burden of physical activity and healthier food choices. Opportunities to lessen the self‐control burden might be uncovered by assessing the spatiotemporal experiences of individuals in daily context. This report aims to describe the time, place, and social context of eating and drinking and 6‐month weight change among 209 midlife women (n = 113 African–American) with obesity receiving safety‐net primary care. Methods Participants completed baseline and 6‐month weight measures, observations and interviews regarding obesogenic cues in the home environment, and up to 12 ecological momentary assessments (EMA) per day for 30 days inquiring about location, social context, and eating and drinking. Results Home was the most common location (62%) at times of EMA notifications. Participants reported “yes” to eating or drinking at the time of nearly one in three (31.1% ± 13.2%) EMA notifications. Regarding social situations, being alone was significantly associated with less frequent eating and drinking (OR = 0.75) unless at work in which case being alone was significantly associated with a greater frequency of eating or drinking (OR = 1.43). At work, eating was most common late at night, whereas at home eating was most frequent in the afternoon and evening hours. However, eating and drinking frequency was not associated with 6‐month weight change. Conclusions Home and work locations, time of day, and whether alone may be important dimensions to consider in the pursuit of more effective weight loss interventions. Opportunities to personalize weight management interventions, whether digital or human, and lessen in‐the‐moment self‐control burden might lie in identifying times and locations most associated with caloric consumption. Clinical trial registration: NCT03083964 in clinicaltrials.gov

Context: Effective STD and pregnancy prevention efforts should benefit from knowledge of what motivates adolescents to have sex. Positive motivations, and how they differ by gender and sexual experience, are poorly understood. Methods: A sample of 637 ninth graders were asked about their relationship goals, expectations of the degree to which sex would satisfy these goals and sexual experience. Three scales measured adolescents' goals for intimacy, sexual pleasure and social status within a romantic relationship. Another three scales measured expectations that sex would lead to these goals. Data were examined in analyses of variance and mixed models. Results: Participants valued intimacy the most, then social status and, finally, sexual pleasure. These relationship goals differed significantly by gender and sexual experience. Females valued intimacy significantly more and sexual pleasure less than males. Sexually experienced adolescents valued both intimacy and pleasure more than sexually inexperienced adolescents. Among females, but not males, sexually experienced adolescents valued the goal of social status less than those with no sexual experience did. Adolescents expected that sex would most likely lead to sexual pleasure, then intimacy and, finally, social status. Females and sexually inexperienced adolescents reported lower expectations that sex would meet goals than did males and sexually experienced participants. Conclusions: Adolescents view intimacy, sexual pleasure and social status as important goals in a relationship. Many have strong positive expectations that sex would satisfy these goals. Prevention programs and providers should address the risks of sex in the context of expected benefits.

Purpose The purpose of the study was to describe the type and number of symptoms and examine symptom clusters of breast cancer survivors (BCS) with diabetes (type 2) by glycemic control (HbA1c < 7 or ≥ 7%). Methods A retrospective cohort study was conducted. Symptom data were extracted from clinical notes in the electronic health record. BCS (stage I-III) diagnosed between 2007 and 2019 had diabetes, and at least one HbA1c within 8 months of initial chemotherapy was included. Zero-inflated negative binomial regression analysis was used to examine total symptoms by glycemic control. Exploratory factor analysis was conducted to identify symptom clusters. Results Three hundred twenty-seven BCS met the inclusion criteria. Two symptom clusters were identified in BCS with HbA1c ≥ 7%: a psychoneurological cluster (anxiety, fatigue, peripheral neuropathy, and depression) and a gastrointestinal cluster (vomiting, nausea, and constipation). Two symptom clusters were identified in BCS with HbA1c < 7% a mixed gastrointestinal/psychoneurological cluster (vomiting, nausea, peripheral neuropathy, fatigue, and constipation) and a mental health symptom cluster (depression and anxiety). Conclusion The symptom clusters of BCS differed by glycemic control. Prospective research studies are needed to examine the role of glycemic control in symptoms in BCS with diabetes. Understanding the influence of glycemic control can help providers identify BCS at high risk for troublesome symptoms and symptom clusters, thereby facilitating interventions that target glycemic control, potentially mitigating symptoms, and symptom clusters, and improving outcomes for BCS with diabetes.

Abstract Objective Social support has been linked to more effective pain adaptation. The relationship between social support and other relevant constructs is less well understood. Chief among these is patient activation, which has robust links to effective self-management, yet has not been well studied in chronic pain. We sought to better understand these relationships in an effort to inform future intervention strategies for patients with chronic pain. Methods Using baseline data from a clinical trial with patients with chronic pain (N = 213), we analyzed the relationships among perceived social support and patient activation, depression, anxiety, general health perceptions, pain centrality, pain catastrophizing, and pain intensity and interference. Multiple linear regression was used to examine the effect of social support on outcomes. Patient activation was explored as a mediator of the effect of social support on outcomes. Results Social support was significantly associated with all outcomes except pain. Social support explained the greatest variance in patient activation (squared semi-partial correlation = 0.081), followed by depression (0.073) and general health perceptions (0.072). Patient activation was not found to be a significant mediator of the effect of social support on pain-related outcomes. Conclusions These findings provide insight into the roles of patient activation and social support in chronic pain management. Although patient activation did not mediate the relationship between social support and outcomes, this study is an important step toward gaining a more complete understanding of constructs thought to be related to pain self-management and points to the need to advance theory in this area to guide future research. Such work is needed to optimize interventions for patients with chronic pain.

Purpose The purpose of the study was to compare the individual and total number of symptoms and explore symptom clusters by hyperglycemia status in colorectal cancer survivors (CRCS) with diabetes (type 2). Methods A retrospective cohort study was conducted, whereby symptom data were extracted from clinical notes in electronic health records. CRCS (stage II or III) diagnosed between 2007 and 2017 who had diabetes and at least one HbA1c within 8 months of initial chemotherapy were included. Zero-inflated negative binomial regression analysis was used to examine total symptoms by hyperglycemia status (hyperglycemia versus no hyperglycemia). Exploratory factor analysis was conducted to identify symptom clusters. Results Two hundred forty-three CRCS met inclusion criteria. CRCS with hyperglycemia (HbA1c ≥ 6.5%) had greater individual symptoms (fatigue and depression) and total number of symptoms than those with no hyperglycemia. Two distinct symptom clusters, with five (nausea, vomiting, constipation, fatigue, and peripheral neuropathy) and two symptoms (anxiety and depression), were identified among CRCS with hyperglycemia. Conclusion These findings indicate that CRCS with diabetes and hyperglycemia had more symptoms and two distinct symptom clusters compared to those with no hyperglycemia. Prospective research studies are needed to examine the role of hyperglycemia in symptoms among CRCS with diabetes. Understanding hyperglycemia’s influence is important as it is a modifiable risk factor towards which prevention and intervention can be directed, potentially mitigating symptoms and symptom clusters and improving outcomes for CRCS with diabetes.

Medications may lessen core symptoms of attention deficit hyperactivity disorder (ADHD), yet families continue to report stress and have a low quality of life. Primary care providers manage almost half of all children with ADHD but do not have a brief measure to assess ADHD impacts on family in the context of everyday family life. The IMPACT (Impact Measure of Parenting-Related ADHD Challenges and Treatment) 1.0 Scale was codeveloped with input from parent advisors and administered to 79 parents of children with ADHD. Exploratory factor analysis, correlations with validated instruments, and test-retest reliability were examined. Exploratory factor analysis resulted in 4 subscales (Misbehavior, Siblings, Time, School), which demonstrated moderate to high test-retest reliability. Scale domains were related to severity and change in ADHD symptoms. Significant correlations were found between IMPACT scores, adaptive functioning in the home, and ADHD-related quality of life. The IMPACT 1.0 Scale provides a novel, reliable, and valid method to assess family impact of ADHD.

Purpose To evaluate the acceptability, satisfaction, and preliminary efficacy of cognitive training for improving cognitive function and health outcomes in breast cancer survivors (BCS). Patients and methods BCS enrolled in this 2-group randomized, double-masked controlled trial of cognitive training. Primary outcomes included the acceptability and satisfaction of the interventions. Secondary outcomes included examining the effect size and reliable improvement of perceived cognitive function and health outcomes, including work ability, health perception (status and change), and quality of life. Exploratory outcomes were performance on neuropsychological tests and plasma levels of brain-derived neurotropic factor (BDNF). Data were collected at baseline and immediately post-intervention. Using ANCOVA models, the intervention was compared to attention control while adjusting for covariates and baseline values. The effect sizes for differences in means and the reliable improvement percentage were reported. Results Thirty-six BCS completed the study and were on average 57.6 ( SD  = 8.0) years old, 59.4% Caucasian, and had some college education (74.5%). Both programs were reported to be satisfactory and acceptable. Non-significant small effect sizes were noted for the intervention on cognitive abilities ( d  = 0.26) and cognitive concerns ( d  =  − 0.32), with reliable improvement noted in 32% and 28% of BCS, respectively. Small to medium effect sizes were noted in improvement in work ability ( d  = 0.37) and health perception status ( d  = 0.30) and change ( d  = 0.60, p  < 0.05). Conclusions Cognitive training was acceptable to BCS and resulted in improvement in perceived cognitive function and perceptions of “real-world” health benefits. A larger randomized controlled trial is warranted to determine its effectiveness for objective cognitive performance.

Background: Hospitals are challenged to improve hospital transitions to home and are held accountable through public reporting. Design: This cross-sectional study used patients' self-reported experience data from the publicly reported Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey to describe correlates of medication understanding at hospital discharge, using data collected from adult patients discharged from one Midwestern community hospital (N=154). Results: The final logistic regression model included four correlates of medication understanding: 1) nurse always communicates well, 2) physician always communicates well, 3) new prescriptions during hospital stay, and 4) very good or better mental health, and these classified 72.6% of the cases. Significant correlates of the patient strongly agreeing that they understood discharge medications were the \"nurse always communicates well\" (odds ratio =3.10, 95% confidence interval: 1.25, 7.66) and \"very good or better self-perceived mental health\" (odds ratio =2.17, 95% confidence interval: 1.02, 4.64). Conclusion: HCAHPS data can be used to model correlates of medication understanding, which are then useful for evaluating intervention effects following quality improvement. Keywords: medication, nurse communication, provider communication, hospital quality, nurse, nursing, physician, patient experience, patient satisfaction

Study Objectives: Behavioral sleep medicine (BSM) is a subspecialty that combines behavioral psychology and sleep medicine specialties. The objective of this study was to analyze referral patterns to a BSM clinic. The 3 specific aims were: (1) describe factors that predict referral acceptance, (2) identify barriers to attending initial appointment, and (3) describe variables associated with the number of visits attended. Methods: Retrospective chart reviews were conducted as part of a quality improvement project by this study team’s clinical setting. Adults over 21 years of age who were referred to a BSM clinic in an urban Midwestern academic health care system between 2014 and 2019 were included in this study. Results: Sleep medicine was the main referral source for patients with BSM (74.2%), followed by internal medicine (9.3%) and neurology/psychiatry (7.3%). Thirty-eight percent of patients did not schedule an appointment after a referral for BSM was initiated. Younger age, longer distance from clinic, commercial insurance, and out-of-network insurance were all significantly greater for nonschedulers. Eighty-three percent of patients did attend the initial intake session with BSM providers. Older age was associated with lower likelihood of not attending scheduled BSM appointments. Conclusions: Patient characteristics of older age, closer distance from clinic, and in-network insurance coverage were found to significantly increase the likelihood of BSM scheduling, while younger age, Black race and not getting a primary sleep disorder diagnosis (vs a diagnosis of insomnia disorder) and shorter days from referral to appointment were associated with an increased likelihood of not attending the scheduled BSM treatment engagement. Citation: Chernyak Y, Ofner S, Williams MK, Bolarinwa C, Manchanda S, Otte JL. Patient accessibility and utilization of behavioral sleep medicine referrals in an academic center. J Clin Sleep Med . 2024;20(11):1793–1806.