New Year's Changes

New Year's Change

Data_Sheet_1_Impact of Systematic Tailored Assessment for Responding to Suicidality (STARS) Protocol Training on Mental Health Professionals' Attitudes, Perceived Capabilities, Knowledge, and Reluctance to Intervene.pdf

Background and AimsSystematic Tailored Assessment for Responding to Suicidality (STARS) protocol and associated training were developed with the key objectives of supporting clinicians to conduct a suicide enquiry, obtaining a comprehensive account of psycho-social factors contributing to suicidality, and collaboratively developing a safety plan with clients. STARS training aims to address knowledge, attitudes and capabilities that influence intervention behavior/skills. This study aimed to examine associations between clinician characteristics and pre-training competencies in suicide risk assessment (SRA), as well as the impact of STARS training workshop on clinician competencies; and to determine the predictors of SRA training outcomes.MethodAustralian mental health professionals working with suicidal persons who undertook the STARS 2-day face-to-face workshop between 2018 and 2020 completed an online survey at pre- and post-training. Of the 222 participants who completed the pre-training questionnaire, 144 (64.9%) also completed the post-training questionnaire. Participants were mostly female (75.7%), had completed a university degree (86.4%), had ResultsSTARS participants who reported higher perceived capability at baseline had significantly greater formal and informal training, more years of experience in suicide prevention, and were more likely to have experienced client suicide and/or suicide attempt and to report fewer SRA related fears. We found overall significant positive impacts of STARS training on clinician competencies (attitudes, perceived capability, declarative knowledge) from pre- to post-training. The most distinct changes following STARS training were for perceived capability and declarative knowledge. Participants who had more positive attitudes after training were significantly more likely to have had less prior supervision/mentoring. Reluctance to intervene was not found to significantly change after training.ConclusionsWe found evidence that attitudes, perceived capability and declarative knowledge changed positively from pre- to post-STARS training among mental health professionals. Underpinned by the minimum standardized SRA competencies, STARS training may be critical for informing evidence-based knowledge and skills in SRA and safety planning.</p

Table_1_Lived experience perspectives guiding improvements to the Systematic Tailored Assessment for Responding to Suicidality protocol.DOCX

Background and aimsSuicide risk assessment protocols have traditionally been developed by clinical or research experts in suicidology, with little formal involvement of those with a lived experience of suicide. This study broadly aimed to seek lived experience perspectives of the Systematic Tailored Assessment for Responding to Suicidality (STARS) protocol A further aim was to elicit lived experience suggestions for wording and language used in the existing items within sections of the STARS protocol (STARS-p).MethodParticipants were 33 adults (Female = 64%) with a lived experience of suicide, who attended a virtual research workshop at the National Lived Experience of Suicide Summit (2021). After being educated about STARS-p, participants provided their overall perceptions of STARS-p as well as suggestions for rewording and language use across the sections of STARS-p. Their responses were gathered using a virtual online platform for live electronic data collection. A three-phase process of qualitative content analysis was used, engaging both inductive and deductive approaches to explore study aims one and two, respectively. The Consolidated Criteria for Reporting Qualitative Research was followed to enhance quality of reporting.ResultsQualitative content analysis of participants’ views of the STARS-p reflected three main categories, namely, STARS philosophy; What STARS aspires to; and Continuity of care and meeting needs. Responses characterized participants’ perceptions of the core purpose of STARS-p and ways for refining or adapting it to suit diverse needs and settings. Based on deductive content analysis, suggested modifications to wording of items and additional items to extend sections were identified.ConclusionThe study yielded novel perspectives from those with a lived experience of suicide, which will inform improvements to the next edition of STARS-p. The STARS training (required for licensed use of the protocol) will be updated accordingly, in line with these results.</p

Table_3_Lived experience perspectives guiding improvements to the Systematic Tailored Assessment for Responding to Suicidality protocol.DOCX

Background and aimsSuicide risk assessment protocols have traditionally been developed by clinical or research experts in suicidology, with little formal involvement of those with a lived experience of suicide. This study broadly aimed to seek lived experience perspectives of the Systematic Tailored Assessment for Responding to Suicidality (STARS) protocol A further aim was to elicit lived experience suggestions for wording and language used in the existing items within sections of the STARS protocol (STARS-p).MethodParticipants were 33 adults (Female = 64%) with a lived experience of suicide, who attended a virtual research workshop at the National Lived Experience of Suicide Summit (2021). After being educated about STARS-p, participants provided their overall perceptions of STARS-p as well as suggestions for rewording and language use across the sections of STARS-p. Their responses were gathered using a virtual online platform for live electronic data collection. A three-phase process of qualitative content analysis was used, engaging both inductive and deductive approaches to explore study aims one and two, respectively. The Consolidated Criteria for Reporting Qualitative Research was followed to enhance quality of reporting.ResultsQualitative content analysis of participants’ views of the STARS-p reflected three main categories, namely, STARS philosophy; What STARS aspires to; and Continuity of care and meeting needs. Responses characterized participants’ perceptions of the core purpose of STARS-p and ways for refining or adapting it to suit diverse needs and settings. Based on deductive content analysis, suggested modifications to wording of items and additional items to extend sections were identified.ConclusionThe study yielded novel perspectives from those with a lived experience of suicide, which will inform improvements to the next edition of STARS-p. The STARS training (required for licensed use of the protocol) will be updated accordingly, in line with these results.</p

Table_2_Lived experience perspectives guiding improvements to the Systematic Tailored Assessment for Responding to Suicidality protocol.DOCX

Background and aimsSuicide risk assessment protocols have traditionally been developed by clinical or research experts in suicidology, with little formal involvement of those with a lived experience of suicide. This study broadly aimed to seek lived experience perspectives of the Systematic Tailored Assessment for Responding to Suicidality (STARS) protocol A further aim was to elicit lived experience suggestions for wording and language used in the existing items within sections of the STARS protocol (STARS-p).MethodParticipants were 33 adults (Female = 64%) with a lived experience of suicide, who attended a virtual research workshop at the National Lived Experience of Suicide Summit (2021). After being educated about STARS-p, participants provided their overall perceptions of STARS-p as well as suggestions for rewording and language use across the sections of STARS-p. Their responses were gathered using a virtual online platform for live electronic data collection. A three-phase process of qualitative content analysis was used, engaging both inductive and deductive approaches to explore study aims one and two, respectively. The Consolidated Criteria for Reporting Qualitative Research was followed to enhance quality of reporting.ResultsQualitative content analysis of participants’ views of the STARS-p reflected three main categories, namely, STARS philosophy; What STARS aspires to; and Continuity of care and meeting needs. Responses characterized participants’ perceptions of the core purpose of STARS-p and ways for refining or adapting it to suit diverse needs and settings. Based on deductive content analysis, suggested modifications to wording of items and additional items to extend sections were identified.ConclusionThe study yielded novel perspectives from those with a lived experience of suicide, which will inform improvements to the next edition of STARS-p. The STARS training (required for licensed use of the protocol) will be updated accordingly, in line with these results.</p

Mapping child growth failure across low- and middle-income countries

Childhood malnutrition is associated with high morbidity and mortality globally1. Undernourished children are more likely to experience cognitive, physical, and metabolic developmental impairments that can lead to later cardiovascular disease, reduced intellectual ability and school attainment, and reduced economic productivity in adulthood2. Child growth failure (CGF), expressed as stunting, wasting, and underweight in children under five years of age (0–59 months), is a specific subset of undernutrition characterized by insufficient height or weight against age-specific growth reference standards3–5. The prevalence of stunting, wasting, or underweight in children under five is the proportion of children with a height-for-age, weight-for-height, or weight-for-age z-score, respectively, that is more than two standard deviations below the World Health Organization’s median growth reference standards for a healthy population6. Subnational estimates of CGF report substantial heterogeneity within countries, but are available primarily at the first administrative level (for example, states or provinces)7; the uneven geographical distribution of CGF has motivated further calls for assessments that can match the local scale of many public health programmes8. Building from our previous work mapping CGF in Africa9, here we provide the first, to our knowledge, mapped high-spatial-resolution estimates of CGF indicators from 2000 to 2017 across 105 low- and middle-income countries (LMICs), where 99% of affected children live1, aggregated to policy-relevant first and second (for example, districts or counties) administrative-level units and national levels. Despite remarkable declines over the study period, many LMICs remain far from the ambitious World Health Organization Global Nutrition Targets to reduce stunting by 40% and wasting to less than 5% by 2025. Large disparities in prevalence and progress exist across and within countries; our maps identify high-prevalence areas even within nations otherwise succeeding in reducing overall CGF prevalence. By highlighting where the highest-need populations reside, these geospatial estimates can support policy-makers in planning interventions that are adapted locally and in efficiently directing resources towards reducing CGF and its health implications

Additional file 3 of Mapping age- and sex-specific HIV prevalence in adults in sub-Saharan Africa, 2000–2018

Additional file 3: Supplemental figures.Figure S1. Prevalence of male circumcision. Figure S2. Prevalence of signs and symptoms of sexually transmitted infections. Figure S3. Prevalence of marriage or living as married. Figure S4. Prevalence of partner living elsewhere among females. Figure S5. Prevalence of condom use during most recent sexual encounter. Figure S6. Prevalence of sexual activity among young females. Figure S7. Prevalence of multiple partners among males in the past year. Figure S8. Prevalence of multiple partners among females in the past year. Figure S9. HIV prevalence predictions from the boosted regression tree model. Figure S10. HIV prevalence predictions from the generalized additive model. Figure S11. HIV prevalence predictions from the lasso regression model. Figure S12. Modeling regions. Figure S13. Age- and sex-specific vs. adult prevalence modeling. Figure S14. Data sensitivity. Figure S15. Model specification validation. Figure S16. Modeled and re-aggregated adult prevalence comparison. Figure S17. HIV prevalence raking factors for males. Figure S18. HIV prevalence raking factors for females. Figure S19. Age-specific HIV prevalence in males, 2000. Figure S20. Age-specific HIV prevalence in females, 2000. Figure S21. Age-specific HIV prevalence in males, 2005. Figure S22. Age-specific HIV prevalence in females, 2005. Figure S23. Age-specific HIV prevalence in males, 2010. Figure S24. Age-specific HIV prevalence in females, 2010. Figure S25. Age-specific HIV prevalence in males, 2018. Figure S26. Age-specific HIV prevalence in females, 2018. Figure S27. Age-specific uncertainty interval range estimates in males, 2000. Figure S28. Age-specific uncertainty interval range estimates in females, 2000. Figure S29. Age-specific uncertainty interval range estimates in males, 2005. Figure S30. Age-specific uncertainty interval range estimates in females, 2005. Figure S31. Age-specific uncertainty interval range estimates in males, 2010. Figure S32. Age-specific uncertainty interval range estimates in females, 2010. Figure S33. Age-specific uncertainty interval range estimates in males, 2018. Figure S34. Age-specific uncertainty interval range estimates in females, 2018. Figure S35. Change in HIV prevalence in males, 2000-2005. Figure S36. Change in HIV prevalence in females, 2000-2005. Figure S37. Change in HIV prevalence in males, 2005-2010. Figure S38. Change in HIV prevalence in females, 2005-2010. Figure S39. Change in HIV prevalence in males, 2010-2018. Figure S40. Change in HIV prevalence in females, 2010-2018. Figure S41. Space mesh for geostatistical models

Additional file 1 of Mapping age- and sex-specific HIV prevalence in adults in sub-Saharan Africa, 2000–2018

Additional file 1: Supplemental information.1. Compliance with the Guidlines for Accurate and Transparent Health Estimates Reporting (GATHER). 2. HIV data sources and data processing. 3. Covariate and auxiliary data. 4. Statistical model. 5. References

Additional file 4 of Mapping age- and sex-specific HIV prevalence in adults in sub-Saharan Africa, 2000–2018

Additional file 4: Supplemental results.1. README. 2. Prevalence range across districts. 3. Prevalence range between sexes. 4. Prevalence range between ages. 5. Age-specific district ranges

Additional file 2 of Mapping age- and sex-specific HIV prevalence in adults in sub-Saharan Africa, 2000–2018

Additional file 2: Supplemental tables.Table S1. HIV seroprevalence survey data. Table S2. ANC sentinel surveillance data. Table S3. HIV and covariates surveys excluded from this analysis. Table S4. Sources for pre-existing covariates. Table S5. HIV covariate survey data. Table S6. Fitted model parameters