Literature DB >> 14660518

Developing evidence-based clinical indicators: a state of the art methods primer.

Jan Mainz1.   

Abstract

OBJECTIVE: To describe steps in developing and testing clinical indicators based on state of the art methods in previous literature and experience in the Danish National Indicator Project. ANALYSIS: The development process includes a planning phase, where the clinical area to be evaluated is chosen and the measurement team selected and organized. The planning phase is followed by a development phase where clinical indicators are prioritized and selected by the measurement team on the basis of documentation and knowledge from the scientific literature. When clinical indicators have been selected, specific measure specifications should be designed, including inclusion and exclusion criteria for the target population, description of a risk adjustment strategy, identification of data sources, description of data collection procedures, and an analytical plan for data analyses. Before clinical indicators are implemented they should be tested for reliability and validity. Preliminary tests may identify areas requiring further modifications and specifications of the indicators.
CONCLUSION: Using clinical indicators for quality assessment represents an important approach to documenting the quality of care. Consumers of indicator information (clinicians, administrators, purchasers, regulators, and patients) need reliable and valid information for benchmarking, making judgments, and determining priorities, accountability and quality improvement. This underlines the fact that clinical indicators must be developed and tested with scientific rigor in a transparent process.

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Year:  2003        PMID: 14660518     DOI: 10.1093/intqhc/mzg084

Source DB:  PubMed          Journal:  Int J Qual Health Care        ISSN: 1353-4505            Impact factor:   2.038


  58 in total

1.  Indicator madness: a cautionary reflection on the use of indicators in healthcare.

Authors:  Sarah Bowen; Sara A Kreindler
Journal:  Healthc Policy       Date:  2008-05

2.  Call for information, call for quality in mental health care.

Authors:  A Lora
Journal:  Epidemiol Psychiatr Sci       Date:  2012-12-18       Impact factor: 6.892

3.  Quality indicators for the evaluation of patients with lung cancer.

Authors:  Peter J Mazzone; Anil Vachani; Andrew Chang; Frank Detterbeck; David Cooke; John Howington; Amos Dodi; Douglas Arenberg
Journal:  Chest       Date:  2014-09       Impact factor: 9.410

Review 4.  Clinical management IT system for enhanced recovery.

Authors:  Eunjue Yi; Sanghoon Jheon
Journal:  J Thorac Dis       Date:  2016-02       Impact factor: 2.895

5.  Emerging Role of Quality Indicators in Physical Therapist Practice and Health Service Delivery.

Authors:  Marie D Westby; Alexandria Klemm; Linda C Li; C Allyson Jones
Journal:  Phys Ther       Date:  2015-06-18

6.  Surgical Quality Predicts Length of Stay in Patients with Congenital Heart Disease.

Authors:  Eric A Johnson; M Mujeeb Zubair; Laurie R Armsby; Grant H Burch; Milon K Good; Michael R Lasarev; A Roger Hohimer; Ashok Muralidaran; Stephen M Langley
Journal:  Pediatr Cardiol       Date:  2016-01-07       Impact factor: 1.655

7.  Systematic review and consensus definitions for the Standardised Endpoints in Perioperative Medicine initiative: clinical indicators.

Authors:  Guy Haller; Sohail Bampoe; Tim Cook; Lee A Fleisher; Michael P W Grocott; Mark Neuman; David Story; Paul S Myles
Journal:  Br J Anaesth       Date:  2019-05-23       Impact factor: 9.166

Review 8.  Methods for the guideline-based development of quality indicators--a systematic review.

Authors:  Thomas Kötter; Eva Blozik; Martin Scherer
Journal:  Implement Sci       Date:  2012-03-21       Impact factor: 7.327

9.  Time for first antibiotic dose is not predictive for the early clinical failure of moderate-severe community-acquired pneumonia.

Authors:  A H W Bruns; J J Oosterheert; W N M Hustinx; C A J M Gaillard; E Hak; A I M Hoepelman
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2009-03-12       Impact factor: 3.267

10.  Effects of pharmacists' interventions on appropriateness of prescribing and evaluation of the instruments' (MAI, STOPP and STARTs') ability to predict hospitalization--analyses from a randomized controlled trial.

Authors:  Ulrika Gillespie; Anna Alassaad; Margareta Hammarlund-Udenaes; Claes Mörlin; Dan Henrohn; Maria Bertilsson; Håkan Melhus
Journal:  PLoS One       Date:  2013-05-17       Impact factor: 3.240

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