Development and Validation of a Raman Spectroscopic Classification Model for Cervical Intraepithelial Neoplasia (CIN)

The mortality associated with cervical cancer can be reduced if detected at the precancer stage, but current methods are limited in terms of subjectivity, cost and time. Optical spectroscopic methods such as Raman spectroscopy can provide a rapid, label-free and nondestructive measurement of the biochemical fingerprint of a cell, tissue or biofluid. Previous studies have shown the potential of Raman spectroscopy for cervical cancer diagnosis, but most were pilot studies with small sample sizes. The aim of this study is to show the clinical utility of Raman spectroscopy for identifying cervical precancer in a large sample set with validation in an independent test set. Liquid-based cervical cytology samples (n = 662) (326 negative, 200 cervical intraepithelial neoplasia (CIN)1 and 136 CIN2+) were obtained as a training set. Raman spectra were recorded from single-cell nuclei and subjected to a partial least squares discriminant analysis (PLSDA). In addition, the PLSDA classification model was validated using a blinded independent test set (n = 69). A classification accuracy of 91.3% was achieved with only six of the blinded samples misclassified. This study showed the potential clinical utility of Raman spectroscopy with a good classification of negative, CIN1 and CIN2+ achieved in an independent test set

Consumer perspectives on acceptability of trauma-focused cognitive behavioral therapy in Tanzania and Kenya: A mixed methods study

Background There is a substantial mental health treatment gap globally. Increasingly, mental health treatments with evidence of effectiveness in western countries have been adapted and tested in culturally and contextually distinct countries. Findings from these studies have been promising, but to better understand treatment outcome results and consider broader scale up, treatment acceptability needs to be assessed and better understood. This mixed methods study aimed to examine child and guardian acceptability of trauma-focused cognitive behavioral therapy (TF-CBT) in two regions in Tanzania and Kenya and to better understand how TF-CBT was perceived as helpful for children and guardians. Methods Participants were 315 children (7–13), who experienced the death of one or both parents and 315 guardians, both of whom participated in TF-CBT as part of a randomized controlled trial conducted in Tanzania and Kenya. The study used mixed methods, with quantitative evaluation from guardian perspective (N=315) using the Treatment Acceptability Questionnaire (TAQ) and the Client Satisfaction Questionnaire-8 (CSQ-8). Acceptability was assessed qualitatively from both guardian and child perspectives. Qualitative evaluation involved analysis using stratified selection to identify 160 child and 160 guardian interviews, to allow exploration of potential differences in acceptability by country, setting (urban/rural), and youth age (younger/older). Results Guardians reported high acceptability on the TAQ and, using an interpretation guide from U.S.-based work, medium acceptability on the CSQ-8. Guardians and children noted high acceptability in the qualitative analysis, noting benefits that correspond to TF-CBT’s therapeutic goals. Analyses exploring differences in acceptability yielded few differences by setting or child age but suggested some potential differences by country. Conclusion Quantitative and qualitative data converged to suggest high acceptability of TF-CBT from guardian and child perspectives in Tanzania and Kenya. Findings add to accumulating evidence of high TF-CBT acceptability from Zambia and other countries (United States, Norway, Australia). Plain Language Summary: Evidence-based treatments have been shown to be effective in countries and regions that are contextually and culturally distinct from where they were developed. But, perspectives of consumers on these treatments have not been assessed regularly or thoroughly. We used open-ended questions and rating scales to assess guardian and youth perspectives on a group-based, cognitive behavioral treatment for children impacted by parental death, in regions within Tanzania and Kenya. Our findings indicate that both guardians and youth found the treatment to be very acceptable. Nearly all guardians talked about specific benefits for the child, followed by benefits for the family and themselves. Eighty percent of youth mentioned benefits for themselves and all youth said they would recommend the program to others. Benefits mentioned by guardians and youth corresponded to treatment goals (improved mood/feelings or behavior, less distress when thinking about the parent/s’ death). Both guardians and children named specific aspects of the treatment that they liked and found useful. Dislikes and challenges of the treatment were less frequently mentioned, but point to areas where acceptability could be further improved. Recommendations from participants also offer areas where acceptability could be improved, namely guardians’ recommendation that the treatment also address non-mental health needs and offer some follow-up or opportunity to participate in the program again. Our study provides an example of how to assess acceptability and identify places to further enhance acceptability

Implementation Climate and Time Predict Intensity of Supervision Content Related to Evidence Based Treatment

Objective: Children infrequently receive evidence-based treatments (EBTs) for mental health problems due to a science-to-practice implementation gap. Workplace-based clinical supervision, in which supervisors provide oversight, feedback, and training on clinical practice, may be a method to support EBT implementation. Our prior research suggests that the intensity of supervisory focus on EBT (i.e., thoroughness of coverage) during workplace-based supervision varies. This study explores predictors of supervisory EBT intensity.Methods: Participants were twenty-eight supervisors and 70 clinician supervisees. They completed a baseline survey, and audio recorded supervision sessions over 1 year. Four hundred and thirty eight recordings were coded for supervision content. We chose to explore predictors of two EBT content elements due to their strong evidence for effectiveness and sufficient variance to permit testing. These included a treatment technique (“exposure”) and a method to structure treatment (“assessment”). We also explored predictors of non-EBT content (“other topics”). Mixed-effects models explored predictors at organizational/supervisor, clinician, and session levels.Results: Positive implementation climate predicted greater intensity of EBT content coverage for assessment (coefficient = 0.82, p = 0.004) and exposure (coefficient = 0.87, p = 0.001). Intensity of exposure coverage was also predicted by more time spent discussing each case (coefficient = 0.04, p < 0.001). Predictors of greater non-EBT content coverage included longer duration of supervision sessions (coefficient = 0.05, p < 0.001) and lower levels of supervisor EBT knowledge (coefficient = −0.17, p = 0.013). No other supervisor- or clinician-level variables were significant predictors in the mixed effects models.Conclusion: This was the first study to explore multi-level predictors of objectively coded workplace-based supervision content. Results suggest that organizations that expect, support and reward EBT are more likely to have greater intensity of EBT supervision coverage, which in turn may positively impact clinician EBT fidelity and client outcomes. There was evidence that supervisor knowledge of the EBT contributes to greater coverage, although robust supervisor and clinician factors that drive supervision are yet to be identified. Findings highlight the potential effectiveness of implementation strategies that simultaneously address organizational implementation climate and supervisor practices. More research is needed to identify mechanisms that support integration of EBT into supervision

Evidence of relationship between strain and In-incorporation:Growth of N-polar In-rich InAlN buffer layer by OMCVD

International audienc

Large expert-curated database for benchmarking document similarity detection in biomedical literature search

Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical research.Peer reviewe

Impact of an Implementation Facilitation Strategy to Improve Task-Shifted CBT Across Education and Health Sectors in Kenya: A Mixed Methods Study

Thesis (Ph.D.)--University of Washington, 2022Background. Evidence suggests mental health interventions can be effectively delivered via task-shifting in low- and middle-income countries (LMIC) with high need for mental health services. However, implementation challenges have impeded adoption and sustainment in LMIC, and methods to scale and sustainably deliver interventions with minimal governmental funding are lacking. Implementation strategies for scale-up are needed. The purpose of the present study is to examine the impact of facilitation or coaching, a multifaceted implementation strategy, on improving task-shifted delivery of a mental health intervention for children in Kenya. Facilitation has helped improve the uptake and quality of medical and mental health services in the U.S.; however, no empirical studies have examined its impact on mental health program implementation in LMIC. This study adds to the sparse implementation literature on methods to reduce the substantial mental health treatment gap in LMIC. Methods. The present study employed a mixed methods quasi-experimental design to determine the impact and perceived value of coaching in supporting trauma-focused cognitive behavioral therapy (TF-CBT) implementation in two governmental sectors: education (delivery by teachers) and health (delivery by community health volunteers [CHVs]). Participants for this study’s quantitative arm included 150 lay counselors (75 teachers, 75 CHVs) from Sequences 1-4 of an NIMH-funded stepped-wedge clustered randomized controlled trial, to compare outcomes between counselors who did not received coaching (Sequence 1) to those that did (Sequences 2-4). Participants completed surveys at the end of receiving TF-CBT training (post-training), and after delivering two sequential TF-CBT groups at their sites (post-implementation). Generalized estimating equations were used to examine the relation between coaching condition and early implementation outcomes (acceptability, feasibility, appropriateness), provider-level determinants (self-efficacy, behavioral intentions), and organization-level determinants (organizational readiness, implementation climate, implementation leadership) of TF-CBT implementation. Semi-structured interviews were conducted with 32 lay counselors (16 teachers, 16 CHVs) from Sequences 2-3 to explore perceptions of acceptability, feasibility, and utility of the coaching strategy itself. Results. Quantitative results revealed that coaching condition predicted higher acceptability and feasibility of TF-CBT among teacher counselors at post-training, and lower feasibility, appropriateness and self-efficacy to implement TF-CBT among CHV counselors at post-implementation. Coaching condition did not predict differences in counselor-reported behavioral intentions, organizational readiness, implementation climate or implementation leadership. Qualitative results indicated that coaching was perceived as highly acceptable, feasible and useful by both teacher and CHV counselors that delivered TF-CBT. Counselor perspectives indicated that coaching was most helpful in increasing counselor readiness to implement TF-CBT and developing tailored implementation workplans to target barriers throughout implementation. Conclusion. To our knowledge, this is the first global study to assess the impact of an implementation coaching strategy to successfully deliver a child mental health intervention in an LMIC. Findings from this study have significant implications on replicable methods that can be used to provide tailored implementation support for task-shifted interventions in LMIC

A Qualitative Study of Mental Health Problems Among Children Living in New Delhi Slums

Thesis (Master's)--University of Washington, 2020Children living in urban slums in India are exposed to chronic stressors that increase their risk of developing mental disorders, but remain a neglected group. Effective mental health interventions are needed; however, it is necessary to understand how mental health symptoms and needs are perceived and prioritized locally to tailor interventions for this population. We used an existing rapid ethnographic assessment approach to identify mental health problems from the perspective of children living in Indian slums, including local descriptions, perceived causes, impact and coping behavior. Local Hindi-speaking interviewers conducted 77 free-list interviews and 33 key informant interviews with children and adults from two slums in New Delhi. Results identified a range of internalizing and externalizing symptoms consistent with depression, anxiety and conduct problems in children. Findings included both common cross-cultural experiences and symptoms as well as uniquely described symptoms (e.g., “madness or anger,” “pain in the heart and mind”) not typically included on western standardized measures of psychopathology. Mental health problems appeared to be highly interconnected, with experiences such as harassment and fighting often described as both causes and impacts of mental health symptoms in children. Community perspectives indicated that even in the face of several unmet basic needs, mental health problems were important to the community and counseling interventions were likely to be acceptable. We discuss implications for adapting mental health interventions and assessing their effectiveness to reduce the burden of mental illness among children living in urban slums in India

Circadian rest-activity misalignment in critically ill medical intensive care unit patients.

Circadian alignment of rest-activity rhythms is an essential biological process that may be vulnerable to misalignment in critically ill patients. We evaluated circadian rest-activity rhythms in critically ill patients and their association with baseline (e.g. age) and clinical (e.g. mechanical ventilation status) variables, along with intensive care unit light-dark cycles. Using wrist actigraphy, we collected 48-hr activity and light exposure data from critically ill patients in a tertiary care medical intensive care unit. We evaluated circadian rest-activity rhythms using COSINOR and non-parametric circadian rhythm analysis models, and stratified these data across baseline and clinical variables. We used linear regression to evaluate the association of circadian rest-activity and light-dark exposure rhythms. In COSINOR and non-parametric circadian rhythm analysis analyses, the 34 medical intensive care unit patients completing 48-hr actigraphy recordings exhibited mean MESOR (mean activity levels of a fitted curve) and amplitudes of 0.50 ± 0.32 and 0.20 ± 0.19 movements per 30-s epoch, with high interdaily variability. Patients who were older, mechanically ventilated, sedated, restrained and with higher organ failure scores tended to exhibit greater circadian rest-activity misalignment, with three of 34 (9%) patients exhibiting no circadian rhythmicity. Circadian light-dark exposure misalignment was observed as well and was associated with rest-activity misalignment (p = 0.03). Critically ill patients in our MICU experienced profound circadian rest-activity misalignment, with mostly weak or absent rhythms, along with circadian light-dark exposure misalignment. Potentially modifiable factors contributing to rest-activity misalignment (i.e. mechanical ventilation, restraints, low daytime light levels) highlight possible targets for future improvement efforts

Use of actigraphy to characterize inactivity and activity in patients in a medical ICU.

BackgroundIn the intensive care unit (ICU), inactivity is common, contributing to ICU-acquired weakness and poor outcomes. Actigraphy may be useful for measuring activity in the ICU.ObjectivesTo use actigraphy to characterize inactivity and activity in critically ill patients.MethodsThis prospective observational study involved 48-h wrist actigraphy in medical ICU (MICU) patients, with activity data captured across 30-s epochs. Inactivity (zero-activity epochs) and activity (levels of non-zero activity) were summarized across key patient (e.g., age) and clinical (e.g., mechanical ventilation status) variables, and compared using multivariable regression.ResultsOverall, 189,595 30-s epochs were collected in 34 MICU patients. Zero-activity (inactivity) comprised 122,865 (65%) of epochs; these epochs were 24% and 13% more prevalent, respectively, in patients receiving mechanical ventilation (versus none, p < 0.001) and in the highest (versus lowest) organ failure score tertile (p = 0.03). Ambulatory (versus non-ambulatory) patients exhibited more non-zero activity (35 more movements per epoch, p < 0.001), while those in the highest (versus lowest) organ failure score tertile exhibited less activity (22 fewer movements per epoch, p = 0.03). Significant inactivity/activity differences were not observed when evaluated based on age, sedation, or restraint status.ConclusionsActigraphy demonstrated that MICU patients are profoundly inactive, including those who are young, non-sedated and non-restrained. Hence, ICU-specific, non-patient-related factors may contribute to inactivity, an issue requiring further investigation

Implementation Climate and Time Predict Intensity of Supervision Content Related to Evidence Based Treatment

Objective: Children infrequently receive evidence-based treatments (EBTs) for mental health problems due to a science-to-practice implementation gap. Workplace-based clinical supervision, in which supervisors provide oversight, feedback, and training on clinical practice, may be a method to support EBT implementation. Our prior research suggests that the intensity of supervisory focus on EBT (i.e., thoroughness of coverage) during workplace-based supervision varies. This study explores predictors of supervisory EBT intensity. Methods: Participants were twenty-eight supervisors and 70 clinician supervisees. They completed a baseline survey, and audio recorded supervision sessions over 1 year. Four hundred and thirty eight recordings were coded for supervision content. We chose to explore predictors of two EBT content elements due to their strong evidence for effectiveness and sufficient variance to permit testing. These included a treatment technique ( exposure ) and a method to structure treatment ( assessment ). We also explored predictors of non-EBT content ( other topics ). Mixed-effects models explored predictors at organizational/supervisor, clinician, and session levels. Results: Positive implementation climate predicted greater intensity of EBT content coverage for assessment (coefficient = 0.82, p = 0.004) and exposure (coefficient = 0.87, p = 0.001). Intensity of exposure coverage was also predicted by more time spent discussing each case (coefficient = 0.04, p \u3c 0.001). Predictors of greater non-EBT content coverage included longer duration of supervision sessions (coefficient = 0.05, p \u3c 0.001) and lower levels of supervisor EBT knowledge (coefficient = -0.17, p = 0.013). No other supervisor- or clinician-level variables were significant predictors in the mixed effects models. Conclusion: This was the first study to explore multi-level predictors of objectively coded workplace-based supervision content. Results suggest that organizations that expect, support and reward EBT are more likely to have greater intensity of EBT supervision coverage, which in turn may positively impact clinician EBT fidelity and client outcomes. There was evidence that supervisor knowledge of the EBT contributes to greater coverage, although robust supervisor and clinician factors that drive supervision are yet to be identified. Findings highlight the potential effectiveness of implementation strategies that simultaneously address organizational implementation climate and supervisor practices. More research is needed to identify mechanisms that support integration of EBT into supervision