Factors influencing success in quality-improvement collaboratives: development and psychometric testing of an instrument

Contains fulltext : 88630.pdf (publisher's version ) (Open Access)ABSTRACT: BACKGROUND: To increase the effectiveness of quality-improvement collaboratives (QICs), it is important to explore factors that potentially influence their outcomes. For this purpose, we have developed and tested the psychometric properties of an instrument that aims to identify the features that may enhance the quality and impact of collaborative quality-improvement approaches. The instrument can be used as a measurement instrument to retrospectively collect information about perceived determinants of success. In addition, it can be prospectively applied as a checklist to guide initiators, facilitators, and participants of QICs, with information about how to perform or participate in a collaborative with theoretically optimal chances of success. Such information can be used to improve collaboratives. METHODS: We developed an instrument with content validity based on literature and the opinions of QIC experts. We collected data from 144 healthcare professionals in 44 multidisciplinary improvement teams participating in two QICs and used exploratory factor analysis to assess the construct validity. We used Cronbach's alpha to ascertain the internal consistency. RESULTS: The 50-item instrument we developed reflected expert-opinion-based determinants of success in a QIC. We deleted nine items after item reduction. On the basis of the factor analysis results, one item was dropped, which resulted in a 40-item questionnaire. Exploratory factor analysis showed that a three-factor model provided the best fit. The components were labeled 'sufficient expert team support', 'effective multidisciplinary teamwork', and 'helpful collaborative processes'. Internal consistency reliability was excellent (alphas between .85 and .89). CONCLUSIONS: This newly developed instrument seems a promising tool for providing healthcare workers and policy makers with useful information about determinants of success in QICs. The psychometric properties of the instrument are satisfactory and warrant application either as an objective measure or as a checklist

Comparison of user groups' perspectives of barriers and facilitators to implementing electronic health records: a systematic review

<p>Abstract</p> <p>Background</p> <p>Electronic health record (EHR) implementation is currently underway in Canada, as in many other countries. These ambitious projects involve many stakeholders with unique perceptions of the implementation process. EHR users have an important role to play as they must integrate the EHR system into their work environments and use it in their everyday activities. Users hold valuable, first-hand knowledge of what can limit or contribute to the success of EHR implementation projects. A comprehensive synthesis of EHR users' perceptions is key to successful future implementation. This systematic literature review was aimed to synthesize current knowledge of the barriers and facilitators influencing shared EHR implementation among its various users.</p> <p>Methods</p> <p>Covering a period from 1999 to 2009, a literature search was conducted on nine electronic databases. Studies were included if they reported on users' perceived barriers and facilitators to shared EHR implementation, in healthcare settings comparable to Canada. Studies in all languages with an empirical study design were included. Quality and relevance of the studies were assessed. Four EHR user groups were targeted: physicians, other health care professionals, managers, and patients/public. Content analysis was performed independently by two authors using a validated extraction grid with pre-established categorization of barriers and facilitators for each group of EHR users.</p> <p>Results</p> <p>Of a total of 5,695 potentially relevant publications identified, 117 full text publications were obtained after screening titles and abstracts. After review of the full articles, 60 publications, corresponding to 52 studies, met the inclusion criteria. The most frequent adoption factors common to all user groups were design and technical concerns, ease of use, interoperability, privacy and security, costs, productivity, familiarity and ability with EHR, motivation to use EHR, patient and health professional interaction, and lack of time and workload. Each user group also identified factors specific to their professional and individual priorities.</p> <p>Conclusions</p> <p>This systematic review presents innovative research on the barriers and facilitators to EHR implementation. While important similarities between user groups are highlighted, differences between them demonstrate that each user group also has a unique perspective of the implementation process that should be taken into account.</p

The European quality of care pathways (EQCP) study on the impact of care pathways on interprofessional teamwork in an acute hospital setting: study protocol: for a cluster randomised controlled trial and evaluation of implementation processes

<p>Abstract</p> <p>Background</p> <p>Although care pathways are often said to promote teamwork, high-level evidence that supports this statement is lacking. Furthermore, knowledge on conditions and facilitators for successful pathway implementation is scarce. The objective of the European Quality of Care Pathway (EQCP) study is therefore to study the impact of care pathways on interprofessional teamwork and to build up understanding on the implementation process.</p> <p>Methods/design</p> <p>An international post-test-only cluster Randomised Controlled Trial (cRCT), combined with process evaluations, will be performed in Belgium, Ireland, Italy, and Portugal. Teams caring for proximal femur fracture (PFF) patients and patients hospitalized with an exacerbation of chronic obstructive pulmonary disease (COPD) will be randomised into an intervention and control group. The intervention group will implement a care pathway for PFF or COPD containing three active components: a formative evaluation of the actual teams’ performance, a set of evidence-based key interventions, and a training in care pathway-development. The control group will provide usual care. A set of team input, process and output indicators will be used as effect measures. The main outcome indicator will be relational coordination. Next to these, process measures during and after pathway development will be used to evaluate the implementation processes. In total, 132 teams have agreed to participate, of which 68 were randomly assigned to the intervention group and 64 to the control group. Based on power analysis, a sample of 475 team members per arm is required. To analyze results, multilevel analysis will be performed.</p> <p>Discussion</p> <p>Results from our study will enhance understanding on the active components of care pathways. Through this, preferred implementation strategies can be defined.</p> <p>Trail registration</p> <p>NCT01435538</p