Dataset Information

Identifying Best Practices for Increasing Linkage to, Retention, and Re-engagement in HIV Medical Care: Findings from a Systematic Review, 1996-2014.

ABSTRACT: A systematic review was conducted to identify best practices for increasing linkage, retention and re-engagement in HIV care (LRC) for persons living with HIV (PLWH). Our search strategy consisted of automated searches of electronic databases and hand searches of journals, reference lists and listservs. We developed two sets of criteria: evidence-based to identify evidence-based interventions (EBIs) tested with a comparison group and evidence-informed to identify evidence-informed interventions (EIs) tested with a one-group design. Eligible interventions included being published between 1996 and 2014, U.S.-based studies with a comparison or one-group designs with pre-post data, international randomized controlled trials, and having objective measures of LRC-relevant outcomes. We identified 10 best practices: 5 EBIs and 5 EIs. None focused on re-engagement. Providers and prevention planners can use the review findings to identify best practices suitable for their clinics, agencies, or communities to increase engagement in care for PLWH, ultimately leading to viral suppression.

SUBMITTER: Higa DH

PROVIDER: S-EPMC6719316 | biostudies-literature | 2016 May

REPOSITORIES: biostudies-literature

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Publications

Identifying Best Practices for Increasing Linkage to, Retention, and Re-engagement in HIV Medical Care: Findings from a Systematic Review, 1996-2014.

Higa Darrel H DH Crepaz Nicole N Mullins Mary M MM

AIDS and behavior 20160501 5

A systematic review was conducted to identify best practices for increasing linkage, retention and re-engagement in HIV care (LRC) for persons living with HIV (PLWH). Our search strategy consisted of automated searches of electronic databases and hand searches of journals, reference lists and listservs. We developed two sets of criteria: evidence-based to identify evidence-based interventions (EBIs) tested with a comparison group and evidence-informed to identify evidence-informed interventions ...[more]

PMID: 26404014

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Project description:BackgroundGenotyping-by-sequencing (GBS) provides affordable methods for genotyping hundreds of individuals using millions of markers. However, this challenges bioinformatic procedures that must overcome possible artifacts such as the bias generated by polymerase chain reaction duplicates and sequencing errors. Genotyping errors lead to data that deviate from what is expected from regular meiosis. This, in turn, leads to difficulties in grouping and ordering markers, resulting in inflated and incorrect linkage maps. Therefore, genotyping errors can be easily detected by linkage map quality evaluations.ResultsWe developed and used the Reads2Map workflow to build linkage maps with simulated and empirical GBS data of diploid outcrossing populations. The workflows run GATK, Stacks, TASSEL, and Freebayes for single-nucleotide polymorphism calling and updog, polyRAD, and SuperMASSA for genotype calling, as well as OneMap and GUSMap to build linkage maps. Using simulated data, we observed which genotype call software fails in identifying common errors in GBS sequencing data and proposed specific filters to better handle them. We tested whether it is possible to overcome errors in a linkage map using genotype probabilities from each software or global error rates to estimate genetic distances with an updated version of OneMap. We also evaluated the impact of segregation distortion, contaminant samples, and haplotype-based multiallelic markers in the final linkage maps. Through our evaluations, we observed that some of the approaches produce different results depending on the dataset (dataset dependent) and others produce consistent advantageous results among them (dataset independent).ConclusionsWe set as default in the Reads2Map workflows the approaches that showed to be dataset independent for GBS datasets according to our results. This reduces the number of required tests to identify optimal pipelines and parameters for other empirical datasets. Using Reads2Map, users can select the pipeline and parameters that best fit their data context. The Reads2MapApp shiny app provides a graphical representation of the results to facilitate their interpretation.

Project description:ObjectivesTo explore the extent of patient engagement in the development of best practice reports related to transitions from hospital to home.DesignScoping review.Data sourcesElectronic databases (MEDLINE, EMBASE, CINAHL, Scopus, Trip Database, DynaMed Plus and Public Health Plus) and multiple provincial regulatory agency and healthcare organisation websites.Eligibility criteriaWe included best practice reports related to the transition from hospital to a long-term care facility, community dwelling or rehabilitation centre. We included documents disseminated in English between 1947 and 2019.Data extraction and synthesisTwo independent reviewers screened for eligibility and one extracted and analysed data using a data extraction tool we developed based on established patient engagement frameworks. Only records actively engaging patients were analysed (n=11). The methodological quality of actively engaging patients was assessed using domain 2 (item 5) of stakeholder involvement from the Appraisal of Guidelines for Research and Evaluation II (AGREE II) tool.ResultsThe search yielded 1921 citations of which 23 met the inclusion criteria and were included for narrative synthesis. These were disseminated between 1995 and 2019, with 18 (78%) published after 2010. Most were conducted in North America (USA 43%, Canada 22%), Europe (UK 30%) and Australia (4%). Eleven (48%) actively involved patients, of which only two involved patients across all stages of development. Most involved patients through direct or indirect consultation. The mean AGREE II domain 2 item 5 score (of those that actively engaged patients) was 5.9 out of 7.ConclusionsOnly half of existing best practice reports related to the transition from hospital to home actively involved patients in report development. However, the extent of patient engagement has been increasing over time. More organisations should strive to engage patients throughout the best practice development process and provide patients with opportunities for shared leadership.

Dataset Information

Identifying Best Practices for Increasing Linkage to, Retention, and Re-engagement in HIV Medical Care: Findings from a Systematic Review, 1996-2014.

Publications

Identifying Best Practices for Increasing Linkage to, Retention, and Re-engagement in HIV Medical Care: Findings from a Systematic Review, 1996-2014.

Similar Datasets

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