The DACRIN data project: A process for harmonising data collection for clinical research in alcohol and other drugs services in New South Wales

Author:

Monds Lauren A.123ORCID,Topp Libby24,Pados Jade24,Holmes Jennifer25,Lintzeris Nicholas126ORCID

Affiliation:

1. Specialty of Addiction Medicine, Faculty of Medicine and Health The University of Sydney Sydney Australia

2. Drug and Alcohol Clinical Research and Improvement Network NSW Health Sydney Australia

3. Drug and Alcohol Services Northern Sydney Local Health District Sydney Australia

4. Drug and Alcohol Services Illawarra Shoalhaven Local Health District Wollongong Australia

5. Centre for Alcohol and Other Drugs NSW Ministry of Health Sydney Australia

6. Drug and Alcohol Services South Eastern Sydney Local Health District Sydney Australia

Abstract

AbstractIntroductionStandardised data collection processes allow for harmonisation and comparison of data across different studies and services. This project aimed to develop a ‘core dataset’ to serve as the default collection when designing future studies and evaluations, building upon data routinely collected in clinical alcohol and other drugs (AOD) settings in NSW, Australia.MethodsA working group was established, comprising clinicians, researchers, data managers and consumers from public sector and non‐government organisation AOD services in the NSW Drug and Alcohol Clinical Research and Improvement Network. A series of Delphi meetings occurred to reach consensus on the data items to be included in the core dataset for three domains: demographics, treatment activity and substance use variables.ResultsThere were 20–40 attendees at each meeting. An initial consensus criterion of having received >70% of the vote was established. Given the difficulty in reaching consensus for most items, subsequently, this was changed to eliminate items that received <5 votes, after which the item receiving the most votes would be selected.Discussions and ConclusionsThis important process received considerable interest and buy‐in across the NSW AOD sector. Ample opportunity for discussion and voting was provided for the three domains of interest, allowing participants to contribute their expertise and experience to inform decisions. As such, we believe the core dataset includes the best options currently available to collect data for these domains in the NSW AOD context, and potentially more broadly. This foundational study may inform other attempts to harmonise data across AOD services.

Funder

NSW Ministry of Health

Publisher

Wiley

Subject

Health (social science),Medicine (miscellaneous)

Reference16 articles.

1. The Consortium on Health and Ageing: Network of Cohorts in Europe and the United States (CHANCES) project—design, population and data harmonization of a large-scale, international study

2. Maelstrom research guidelines for rigorous retrospective data harmonization;Fortier I;Int J Epidemiol,2017

3. The Delphi technique: making sense of consensus;Hsu C‐C;Pract Assess Res Evaluation,2007

4. An expert consensus on the most effective components of cognitive behavioural therapy for adults with depression: a modified Delphi study

5. International Consortium for Health Outcomes Measurement.Patient‐centred outcome measures: Addiction. 2022 [cited 3 February 2022].

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3