Literature DB >> 23362504

Process evaluation of a tailored multifaceted feedback program to improve the quality of intensive care by using quality indicators.

L G de Vos Maartje1, Sabine N van der Veer, Wilco C Graafmans, Nicolette F de Keizer, Kitty J Jager, Gert P Westert, Peter H J van der Voort.   

Abstract

BACKGROUND: In multisite trials evaluating a complex quality improvement (QI) strategy the 'same' intervention may be implemented and adopted in different ways. Therefore, in this study we investigated the exposure to and experiences with a multifaceted intervention aimed at improving the quality of intensive care, and explore potential explanations for why the intervention was effective or not.
METHODS: We conducted a process evaluation investigating the effect of a multifaceted improvement intervention including establishment of a local multidisciplinary QI team, educational outreach visits and periodical indicator feedback on performance measures such as intensive care unit length of stay, mechanical ventilation duration and glucose regulation. Data were collected among participants receiving the intervention. We used standardised forms to record time investment and a questionnaire and focus group to collect data on perceived barriers and satisfaction.
RESULTS: The monthly time invested per QI team member ranged from 0.6 to 8.1 h. Persistent problems were: not sharing feedback with other staff; lack of normative standards and benchmarks; inadequate case-mix adjustment; lack of knowledge on how to apply the intervention for QI; and insufficient allocated time and staff. The intervention effectively targeted the lack of trust in data quality, and was reported to motivate participants to use indicators for QI activities.
CONCLUSIONS: Time and resource constraints, difficulties to translate feedback into effective actions and insufficient involvement of other staff members hampered the impact of the intervention. However, our study suggests that a multifaceted feedback program stimulates clinicians to use indicators as input for QI, and is a promising first step to integrating systematic QI in daily care.

Entities:  

Mesh:

Year:  2013        PMID: 23362504     DOI: 10.1136/bmjqs-2012-001375

Source DB:  PubMed          Journal:  BMJ Qual Saf        ISSN: 2044-5415            Impact factor:   7.035


  19 in total

1.  Understanding intensive care unit benchmarking.

Authors:  Jorge I F Salluh; Marcio Soares; Mark T Keegan
Journal:  Intensive Care Med       Date:  2017-03-15       Impact factor: 17.440

2.  Process evaluation and the development of behavioural interventions to improve psychological distress among survivors of critical illness.

Authors:  Ann M Parker; Albahi Malik; Megan Hosey
Journal:  Thorax       Date:  2018-10-18       Impact factor: 9.139

3.  Governing patient safety: lessons learned from a mixed methods evaluation of implementing a ward-level medication safety scorecard in two English NHS hospitals.

Authors:  Angus I G Ramsay; Simon Turner; Gillian Cavell; C Alice Oborne; Rebecca E Thomas; Graham Cookson; Naomi J Fulop
Journal:  BMJ Qual Saf       Date:  2013-09-12       Impact factor: 7.035

4.  Improvement of care for ICU patients with delirium by early screening and treatment: study protocol of iDECePTIvE study.

Authors:  Erwin Ista; Zoran Trogrlic; Jan Bakker; Robert Jan Osse; Theo van Achterberg; Mathieu van der Jagt
Journal:  Implement Sci       Date:  2014-10-02       Impact factor: 7.327

5.  Effect of a web-based audit and feedback intervention with outreach visits on the clinical performance of multidisciplinary teams: a cluster-randomized trial in cardiac rehabilitation.

Authors:  Wouter T Gude; Mariëtte M van Engen-Verheul; Sabine N van der Veer; Hareld M C Kemps; Monique W M Jaspers; Nicolette F de Keizer; Niels Peek
Journal:  Implement Sci       Date:  2016-12-09       Impact factor: 7.327

6.  Multi-method laboratory user evaluation of an actionable clinical performance information system: Implications for usability and patient safety.

Authors:  Benjamin Brown; Panos Balatsoukas; Richard Williams; Matthew Sperrin; Iain Buchan
Journal:  J Biomed Inform       Date:  2017-11-13       Impact factor: 6.317

7.  Electronic audit and feedback intervention with action implementation toolbox to improve pain management in intensive care: protocol for a laboratory experiment and cluster randomised trial.

Authors:  Wouter T Gude; Marie-José Roos-Blom; Sabine N van der Veer; Evert de Jonge; Niels Peek; Dave A Dongelmans; Nicolette F de Keizer
Journal:  Implement Sci       Date:  2017-05-25       Impact factor: 7.327

8.  The complexity in the implementation process of empowerment-based chronic kidney care: a case study.

Authors:  Annette Nygårdh; Dan Malm; Kerstin Wikby; Gerd Ahlström
Journal:  BMC Nurs       Date:  2014-07-30

9.  Health professionals' perceptions about their clinical performance and the influence of audit and feedback on their intentions to improve practice: a theory-based study in Dutch intensive care units.

Authors:  Wouter T Gude; Marie-José Roos-Blom; Sabine N van der Veer; Dave A Dongelmans; Evert de Jonge; Jill J Francis; Niels Peek; Nicolette F de Keizer
Journal:  Implement Sci       Date:  2018-02-17       Impact factor: 7.327

10.  A multifaceted feedback strategy alone does not improve the adherence to organizational guideline-based standards: a cluster randomized trial in intensive care.

Authors:  Maartje L G de Vos; Sabine N van der Veer; Bram Wouterse; Wilco C Graafmans; Niels Peek; Nicolette F de Keizer; Kitty J Jager; Gert P Westert; Peter H J van der Voort
Journal:  Implement Sci       Date:  2015-07-08       Impact factor: 7.327

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.