Caregiver distress in parkinsonism

This study examined the frequency and degree of caregiver burden in persons with parkinsonism, a group of disorders with four primary symptoms that include tremor, rigidity, postural instability, and bradykinesia. We assessed associations between perceived caregiver burden and physical, cognitive, and functional impairments using well-established tools for persons with parkinsonism. The 49 individuals with parkinsonism ranged in age from 61 to 87 (mean = 75), while their caregivers (N = 49) ranged in age from 48 to 83 (mean = 70). The caregivers were predominantly either wives (82%) or daughters (6%), with other family members, friends, and/or neighbors (12%) making up the rest. The caregivers reported a relatively high ability for coping (mean scores = 4.6/6). Caregiver burden was significantly negatively associated with activities of daily living and motoric difficulties as measured on the Unified Parkinson\u27s Disease Rating Scale (UPDRS). Likewise, caregiver burden was negatively associated with caregiver self-reported sleep and coping ability. Results did not demonstrate an association on the UPDRS among mentation, behavior, and mood. We found a significant negative correlation for mentation between the Folstein Mini-Mental Status Examination and caregiver burden measures; however, we did not find this association with the Dementia Rating Scale-2. Patient\u27s self-reported pain and caregiver burden were not associated

Digital cognitive behavioural therapy for insomnia in women with chronic migraines

Objective/Background: Insomnia commonly co-occurs with chronic migraines (CM). Non-pharmacological treatments for insomnia in CM patients remain understudied. This is a proof-of-concept study, which aims to evaluate the feasibility, acceptability, and preliminary efficacy of a digital cognitive behavioral therapy for insomnia (dCBT-I) for individuals with CM and insomnia (CM-I) in the United States. Methods: We recruited 42 females with CM-I symptoms from a U.S.-based observational cohort and from the general population via advertisements. Within a multiple baseline design, participants were randomized to receive dCBT-I after 2, 4, or 6 weeks of completing baseline sleep diaries. DCBT-I was scrutinized against benchmarks for completion rates (≥90% to complete dCBT-I), acceptability (≥80% to find dCBT-I acceptable), and posttreatment changes in insomnia symptoms (≥50% indicating a clinically relevant improvement in their insomnia symptoms). As a secondary measure, we also reported percentage of individuals reverting to episodic migraines. Results: Out of 42 randomized, 35 (83.3%) completed dCBT-I within the 12 weeks provided. Of these completers, 33 (94.3%) reported being satisfied (n = 16) or very satisfied (n = 17) with treatment. Additionally, 65.7% of completers responded to treatment as per universally accepted criteria for insomnia. Lastly, 34% of completers reverted from CM to episodic migraine. Conclusion: This study provides evidence for the feasibility and acceptability of dCBT-I in patients with CM-I complaints. Effects of improving insomnia and migraines were suggested. These results indicate that a randomized controlled trial is needed to determine the efficacy of dCBT-I in CM patients

Digital Cognitive Behavioral Therapy for Insomnia in Women With Chronic Migraines

Objective/Background: Insomnia commonly co-occurs with chronic migraines (CM). Non-pharmacological treatments for insomnia in CM patients remain understudied. This is a proof-of-concept study, which aims to evaluate the feasibility, acceptability, and preliminary efficacy of a digital cognitive behavioral therapy for insomnia (dCBT-I) for individuals with CM and insomnia (CM-I) in the United States. Methods: We recruited 42 females with CM-I symptoms from a U.S.-based observational cohort and from the general population via advertisements. Within a multiple baseline design, participants were randomized to receive dCBT-I after 2, 4, or 6 weeks of completing baseline sleep diaries. DCBT-I was scrutinized against benchmarks for completion rates (≥90% to complete dCBT-I), acceptability (≥80% to find dCBT-I acceptable), and posttreatment changes in insomnia symptoms (≥50% indicating a clinically relevant improvement in their insomnia symptoms). As a secondary measure, we also reported percentage of individuals reverting to episodic migraines. Results: Out of 42 randomized, 35 (83.3%) completed dCBT-I within the 12 weeks provided. Of these completers, 33 (94.3%) reported being satisfied (n = 16) or very satisfied (n = 17) with treatment. Additionally, 65.7% of completers responded to treatment as per universally accepted criteria for insomnia. Lastly, 34% of completers reverted from CM to episodic migraine. Conclusion: This study provides evidence for the feasibility and acceptability of dCBT-I in patients with CM-I complaints. Effects of improving insomnia and migraines were suggested. These results indicate that a randomized controlled trial is needed to determine the efficacy of dCBT-I in CM patients

Evaluating the impact and cost-effectiveness of chlamydia management strategies in Hong Kong:A modeling study

OBJECTIVES: To illustrate the epidemiologic and cost-effectiveness impact of shifting the focus from population-based screening toward a targeted management approach for genital chlamydia infection. DESIGN: Modeling study, implementing an individual-based, stochastic, dynamic network model. SETTING: Hong Kong. POPULATION: A hypothetical sample network of 10,000 people with a partnership distribution based on Hong Kong's sexually active population of reproductive age (age 18–49 years). INTERVENTIONS: In this study, we present several scenarios with different implementations of universal vs. targeted screening (based on partner numbers). We also explored the impact of (1) screening only, (2) screening plus expedited partner therapy, and (3) screening plus partner testing. PRIMARY OUTCOME MEASURES: Change of chlamydia prevalence before and after implementing the different strategies. The cost-effectiveness analysis reports total direct cost from a health provider perspective, the QALYs gained, and incremental cost-effectiveness ratios (ICER). RESULTS: In comparing the effects of universal screening only and targeted screening of the high-risk population, the mean prevalence during the 10th year of intervention was 2.75 ± 0.30% and 2.35 ± 0.21%, respectively (compared with 3.24 ± 0.30% and 3.35 ± 0.21% before the interventions, respectively). The addition of contact tracing to the latter targeted screening scenario reduces the mean prevalence during the 10th year of intervention to 1.48 ± 0.13% (compared with 3.31 ± 0.33% at baseline) in the best-case of testing before treatment and maximal contact-tracing effectiveness (40%). Overall, the most effective scenarios were those for which interventions focused on the high-risk population defined by the number of partners, with contact tracing included. The ICER for targeted screening with contact tracing at 20% and 40% efficiency was $4,634 and$7,219 per QALY gained, respectively (10-year time horizon). Expedited partner therapy did not significantly impact overall chlamydia prevalence and caused overtreatment. CONCLUSIONS: Our study suggests that targeted screening with strengthened contact tracing efforts is the most cost-effective strategy to reduce the prevalence of chlamydia in Hong Kong

Characterization of patients who present with insomnia : is there room for a symptom cluster-based approach?

Study Objectives: This study examined empirically derived symptom cluster profiles among patients who present with insomnia using clinical data and polysomnography. Methods: Latent profile analysis was used to identify symptom cluster profiles of 175 individuals (63% female) with insomnia disorder based on total scores on validated self-report instruments of daytime and nighttime symptoms (Insomnia Severity Index, Glasgow Sleep Effort Scale, Fatigue Severity Scale, Beliefs and Attitudes about Sleep, Epworth Sleepiness Scale, Pre-Sleep Arousal Scale), mean values from a 7-day sleep diary (sleep onset latency, wake after sleep onset, and sleep efficiency), and total sleep time derived from an in-laboratory PSG. Results: The best-fitting model had three symptom cluster profiles: "High Subjective Wakefulness" (HSW), "Mild Insomnia" (MI) and "Insomnia-Related Distress" (IRD). The HSW symptom cluster profile (26.3% of the sample) reported high wake after sleep onset, high sleep onset latency, and low sleep efficiency. Despite relatively comparable PSG-derived total sleep time, they reported greater levels of daytime sleepiness. The MI symptom cluster profile (45.1%) reported the least disturbance in the sleep diary and questionnaires and had the highest sleep efficiency. The IRD symptom cluster profile (28.6%) reported the highest mean scores on the insomnia-related distress measures (eg, sleep effort and arousal) and waking correlates (fatigue). Covariates associated with symptom cluster membership were older age for the HSW profile, greater obstructive sleep apnea severity for the MI profile, and, when adjusting for obstructive sleep apnea severity, being overweight/obese for the IRD profile. Conclusions: The heterogeneous nature of insomnia disorder is captured by this data-driven approach to identify symptom cluster profiles. The adaptation of a symptom cluster-based approach could guide tailored patient-centered management of patients presenting with insomnia, and enhance patient care

HIV prevalence ratio of international migrants compared to their native-born counterparts: A systematic review and meta-analysis.

BACKGROUND: People on the move, including international migrants, may face health inequities that expose them to a higher risk for HIV than native-born populations. We conducted a systematic review to calculate the HIV prevalence ratio of international migrants compared with native-born populations. METHODS: We searched five databases between January 2010 and March 2022. Using random-effects meta-analysis, we calculated the pooled HIV prevalence ratios (PR) by comparing the HIV prevalence of migrants with native-born populations. Our research protocol is registered in the International prospective register of systematic reviews (PROSPERO, CRD42021250867). FINDINGS: In total, 5,121 studies were screened, and 38 were included in the final analysis: 7,121,699 migrants and more than 270 million natives were included in the analysis. The pooled PR for any foreign-born migrants was 1·70 (95% CI 1·11 – 2·61, I2=99·67%, n = 33 studies), refugees was 2·37 (95% CI 0·33–16·99, I2=99·5%, n = 5), undocumented people was 3·98 (95% CI 0·11–143·01, I2=94·6%, n = 3), whilst asylum seekers was 54·79 (95% CI 17·23–174·23, I2=90·2%, n = 2). Meta-regression revealed that population type (adjusted R-squared 11.5%), region of origin (11.3%) and migrant type (10.8%) accounted for heterogeneity more than country-income (2.4%) and study setting (2.3%). INTERPRETATION: Although it was not possible to assess if HIV infection occurred in the country of origin or destination, the HIV prevalence ratio was higher among migrants than in native-born populations. Inclusive health policies and strategies for delivering HIV testing, prevention and treatment services for migrant populations tailored to their needs are urgently needed. FUNDING: J.J.O. and E.P.F.C. are supported by the Australian National Health and Medical Research Council (NHMRC) Emerging Leader Fellowship (GNT1193955 and GNT1172873, respectively)

Crowdsourcing to develop open-access learning resources on antimicrobial resistance

Objectives Antimicrobial resistance (AMR) is a significant threat to global public health. Many medical curricula have limited clinical cases and materials focused on AMR, yet enhanced AMR education and training are needed to support antimicrobial stewardship programmes. We used crowdsourcing methods to develop open-access, learner-centred AMR resources. Crowdsourcing is the process of having a large group, including experts and non-experts, solve a problem and then share solutions with the public. Methods We organised a global crowdsourcing contest soliciting AMR-related multiple-choice questions, infographics, and images. First, we convened a diverse steering committee group to finalise a call for entries. Second, we launched the contest and disseminated the call for entries using social media, blog posts, email, and an in-person event. Partner institutions included two digital healthcare platforms: Figure 1® and Ding Xiang Yuan. Both organizations serve as online communities for healthcare specialists and professionals to report and comment on clinical information. At the end of the call, solicited entries were screened for eligibility and judged on merit and relevance to AMR learning and education. Exceptional entries were recognised, awarded prizes, and further reviewed for sharing with the public via open-access platforms. Results We received 59 entries from nine countries. These included 54 multiple-choice questions, four infographics, and one image. Eligible entries (n = 56) were reviewed and assigned a score on a 1-10 scale. Eight entries received mean scores greater than 6.0 and were selected as finalists. The eight finalist entries consisted of three infographics and five multiple-choice questions. They were disseminated through open-access publications and online medical communities. Although we launched a global call, we relied heavily on medical student groups and the entries received were not entirely globally representative. Conclusions We demonstrate that crowdsourcing challenge contests can be used to identify infectious disease teaching materials. Medical educators and curriculum developers can adapt this method to solicit additional teaching content for medical students

Management of Obstructive Sleep Apnea and Comorbid Insomnia: A Mixed-Methods Evaluation

The purpose of this study was to examine the process of care in an interdisciplinary sleep clinic for patients with obstructive sleep apnea (OSA) and comorbid insomnia. A mixed-methods approach was used to examine clinical and patient-centered measures for 34 patients who received positive-airway pressure for OSA or cognitive-behavior therapy for insomnia. The results revealed baseline-to-follow-up improvements on several self-reported sleep parameters and measures of daytime functioning. Qualitative analyses from patient interviews revealed three themes: conceptual distinctions about each sleep disorder, importance of treating both sleep disorders, and preferences with regard to the sequence of treatment. These findings indicate that patients with OSA and comorbid insomnia encounter unique challenges. A dimensional approach to assessment and treatment is proposed for future research

Innovative strategies to fight antimicrobial resistance: crowdsourcing to expand medical training

Background: Antimicrobial resistance is a serious public health concern across the world, but public awareness is low, few educational resources on diagnostics exist and professional interest in infectious diseases is waning. To spur interest in infectious disease, emphasize the role of diagnostics in management of resistant infections and develop educational resources to support antimicrobial stewardship. Methods: We employed crowdsourcing methods, using an open challenge contest to solicit clinical cases on antimicrobial resistance and clinical diagnostics. Results: We received 25 clinical cases from nine countries. After screening, 23 cases were eligible for judging. Three cases emerged as the top finalists and were further developed into an open access learning module on diagnostics and antimicrobial resistance. Conclusions: Crowdsourcing methods are beneficial for generating interest in infectious disease and developing educational resources to support antibiotic stewardship.</ns4:p