Search

Supplemental material, sj-docx-1-him-10.1177_18333583231176597 for Alpha NSW: What would it take to create a state-wide paediatric population-level learning health system? by Michael Hodgins, Nora Samir, Susan Woolfenden, Nan Hu, Francisco Schneuer, Natasha Nassar and Raghu Lingam in Health Information Management Journal

Supplemental material, sj-docx-1-him-10.1177_18333583231176597 for Alpha NSW: What would it take to create a state-wide paediatric population-level learning health system? by Michael Hodgins, Nora Samir, Susan Woolfenden, Nan Hu, Francisco Schneuer, Natasha Nassar and Raghu Lingam in Health Information Management Journal

Additional file 5. Sensitivity analysis to examine the influence on the summary effect estimates or all meta-analyses. The file provides a list of studies excluded for each sensitivity analysis, reasons for exclusion, summary effects when studies have been included and when both random effects and fixed effect models are used. In addition, summary effects are provided for use of both relative risks and odds ratios for one meta-analysis.

Additional file 2. Studies excluded with reasons for exclusion. The file provides a list of 71 references of studies that were excluded from the review and reasons for exclusion of each study.

Additional file 6. Search strategy for Ovid MEDLINE (May 2020).

Additional file 1: Top down unit costs in 2013 and 2014 of visit (USD) for any illness, children under 5.

Additional file 1. Preferred reporting items for systematic reviews and meta-analyses (PRISMA) checklist. A 27-item checklist addressing title, abstract, introduction, methods, results, discussion and funding sections of a systematic review report. For reference, page numbers of each section are indicated.

Objective: We examine the prevalence of quality care (as measured by adherence to recommendations in clinical practice guidelines) for Australian paediatric patients (⩽15 years) with depression and/or anxiety, using data from the CareTrack Kids study; a population-based study of the quality of healthcare practice in inpatient and ambulatory healthcare settings. Methods: A multistage stratified sample identified records of 6689 children. Of these, 156 records were identified for depression and 356 for anxiety. These were assessed for adherence to 15 depression and 13 anxiety indicators, respectively, using a review of medical records. Results: Adherence to assessment and management guidelines was low for both conditions: assessment bundle (depression = 33%, 95% confidence interval = [20, 48]; anxiety = 54%, 95% confidence interval = [43, 64] and depression management bundle = 35%, 95% confidence interval = [15, 60]). Across both conditions, the highest adherence was recorded for indicators that addressed prescription of medications (e.g. venlafaxine, 100%; benzodiazepines, 100%; selective serotonin reuptake inhibitor, 94% and antidepressants, 91%), while compliance was the lowest for ensuring children with depression had an emergency safety plan (44%), informing parents of the risks and benefits of prescribed anxiety medication (51%) and assessment for other causes (59% for depression; 68% for anxiety). Conclusion: These findings suggest that strategies are needed to improve guideline adherence for mental health disorders in children and adolescents, particularly among general practitioners. Learning from these indicators could inform clinical prompts in electronic medical records, as well as links to additional information, to assist in decision-making and streamline work practices.