Dataset Information

Developing measures of educational change for academic health care teams implementing the chronic care model in teaching practices.

ABSTRACT:

Background

The Chronic Care Model (CCM) is a multidimensional framework designed to improve care for patients with chronic health conditions. The model strives for productive interactions between informed, activated patients and proactive practice teams, resulting in better clinical outcomes and greater satisfaction. While measures for improving care may be clear, measures of residents' competency to provide chronic care do not exist. This report describes the process used to develop educational measures and results from CCM settings that used them to monitor curricular innovations.

Subjects

Twenty-six academic health care teams participating in the national and California Academic Chronic Care Collaboratives.

Method

Using successive discussion groups and surveys, participants engaged in an iterative process to identify desirable and feasible educational measures for curricula that addressed educational objectives linked to the CCM. The measures were designed to facilitate residency programs' abilities to address new accreditation requirements and tested with teams actively engaged in redesigning educational programs.

Analysis

Field notes from each discussion and lists from work groups were synthesized using the CCM framework. Descriptive statistics were used to report survey results and measurement performance.

Results

Work groups generated educational objectives and 17 associated measurements. Seventeen (65%) teams provided feasibility and desirability ratings for the 17 measures. Two process measures were selected for use by all teams. Teams reported variable success using the measures. Several teams reported use of additional measures, suggesting more extensive curricular change.

Conclusion

Using an iterative process in collaboration with program participants, we successfully defined a set of feasible and desirable education measures for academic health care teams using the CCM. These were used variably to measure the results of curricular changes, while simultaneously addressing requirements for residency accreditation.

SUBMITTER: Bowen JL

PROVIDER: S-EPMC2940445 | biostudies-literature | 2010 Sep

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Developing measures of educational change for academic health care teams implementing the chronic care model in teaching practices.

Bowen Judith L JL Stevens David P DP Sixta Connie S CS Provost Lloyd L Johnson Julie K JK Woods Donna M DM Wagner Edward H EH

Journal of general internal medicine 20100901

<h4>Background</h4>The Chronic Care Model (CCM) is a multidimensional framework designed to improve care for patients with chronic health conditions. The model strives for productive interactions between informed, activated patients and proactive practice teams, resulting in better clinical outcomes and greater satisfaction. While measures for improving care may be clear, measures of residents' competency to provide chronic care do not exist. This report describes the process used to develop edu ...[more]

PMID: 20737234

Similar Datasets

Project description:AIM:This study is aimed at developing a Rural Primary Health Care (PHC) Model for delivering comprehensive PHC for dementia in rural settings and addressing the gap in knowledge about disseminating and implementing evidence-based dementia care in a rural PHC context. BACKGROUND:Limited access to specialists and services in rural areas leads to increased responsibility for dementia diagnosis and management in PHC, yet a gap exists in evidence-based best practices for rural dementia care. METHODS:Elements of the Rural PHC Model for Dementia were based on seven principles of effective PHC for dementia identified from published research and organized into three domains: team-based care, decision support, and specialist-to-provider support. Since 2013 the researchers have collaborated with a rural PHC team in a community of 1000 people in the Canadian province of Saskatchewan to operationalize these elements in ways that were feasible in the local context. The five-step approach included: building relationships; conducting a problem analysis/needs assessment; identifying core and adaptable elements of a decision support tool embedded in the model and resolving applicability issues; implementing and adapting the intervention with local stakeholders; and sustaining the model while incrementally scaling up. RESULTS:Developing and sustaining relationships at regional and PHC team levels was critical. A comprehensive needs assessment identified challenges related to all domains of the Rural PHC Model. An existing decision support tool for dementia diagnosis and management was adapted and embedded in the team's electronic medical record. Strategies for operationalizing other model elements included integrating team-based care co-ordination into the decision support tool and family-centered case conferences. Research team specialists provided educational sessions on topics identified by the PHC team. This paper provides an example of a community-based process for adapting evidence-based practice principles to a real-world setting.

Project description:BACKGROUND:Health and social care organisations globally are moving towards prevention-focussed community-based, integrated care. The success of this depends on professionals changing practice behaviours. This study explored the feasibility of applying a behavioural science approach to help staff teams from health organisations overcome psychological barriers to change and implement new models of care. METHODS:An Organisational Participatory Research study was conducted with health organisations from North West England, health psychologists and health workforce education commissioners. The Behaviour Change Wheel (BCW) was applied with teams of professionals seeking help to overcome barriers to practice change. A mixed-methods data collection strategy was planned, including qualitative stakeholder interview and focus groups to explore feasibility factors and quantitative pre-post questionnaires and audits measuring team practice and psychological change barriers. Qualitative data were analysed with thematic analysis; pre-post quantitative data were limited and thus analysed descriptively. RESULTS:Four clinical teams from paediatrics, midwifery, heart failure and older adult mental health specialties in four organisations enrolled, seeking help to move care to the community, deliver preventative healthcare tasks, or become more integrated. Eighty-one managers, medical doctors, nurses, physiotherapists, midwives and other professionals contributed data. Three teams successfully designed a BCW intervention; two implemented and evaluated this. Five feasibility themes emerged from the thematic analysis of qualitative data. Optimising the BCW in an organisational change context meant 1) qualitative over quantitative data collection, 2) making behavioural science attractive, 3) co-development and a behavioural focus, 4) effective ongoing communication and 5) support from engaged leaders. Pre-post quantitative data collected suggested some positive changes in staff practice behaviours and psychological determinants following the intervention. CONCLUSIONS:Behavioural science approaches such as the BCW can be optimised to support teams within health and social care organisations implementing complex new models of care. The efficacy of this approach should now be trialled.

Project description:ObjectivesTo evaluate the implementation of a new procedure for screening and treatment of malnutrition for older people in community settings and to identify factors promoting or inhibiting its implementation as a routine aspect of care.DesignProspective process evaluation using mixed methods with pre/post-implementation measures.Setting and participantsCommunity teams (nursing and allied health professionals) within a UK National Health Service Community Trust. 73 participants were recruited, of which 32 completed both pre-implemetation and post-implementation surveys.Main outcome measuresNoMAD survey for pre-post-intervention measures; telephone interviews exploring participant experiences and wider organisational/contextual processes.MethodsData prior to implementation of training, baseline (T0-survey and telephone interview) and 2 months following training (T1-follow-up survey). Quantitative data described using frequency tables reporting team type, healthcare provider role group and total study sample; analysis using Wilcoxon rank-sum (subgroup comparison) and Wilcoxon signed-rank (within-group observation point comparison) tests. Qualitative interview data (audio and transcription) analysed through directed content analysis using normalisation process theory.ResultsHigh support for nutrition screening and treatment indicated by participants. Concerns expressed around logistical, organisational and specialist dietetic support. Pre-post-training measures indicated a positive impact of training on knowledge of the new procedure; however, most implementation measures saw no significant changes between time points or between subgroups (training participants vs non-participants). Implementation barriers included the following: high levels of training non-completion; vulnerability to attrition of trained staff; lack of monitoring of post-intervention compliance and lack of access to dietetic support.ConclusionGreater support necessary to support implementation in relation to monitoring of training completion, and organisational support for nutrition screening and treatment activity. Recommended changes to implementation design are as follows: appointment of a key person to support and monitor procedure compliance; adoption of training as an e-learning module within the existing organisational platform to increase participation in changeable working conditions.

Project description:ObjectiveClinical review of a prescription drug monitoring program (PDMP) is considered a valuable tool for opioid prescribing risk mitigation; however, PDMP use is often low, even in states with mandatory registration and use policies. The objective was to evaluate the impact of an academic detailing (AD) outreach intervention on PDMP use among primary care prescribers.MethodsAD intervention was delivered to primary care based controlled substance prescribers (N = 87) and their associated PDMP delegates (n = 42) by a clinical pharmacist as 1 component of a large-scale, statewide initiative to improve opioid prescribing safety. Prescriber PDMP use behavior was assessed by prescriber self-report and analysis of objective 2016-2018 PDMP data regarding the number of monthly report requests. We compared means between pre- and postintervention using a paired t test and plotted the monthly average reports over time to assess the trend of mean reports over time. Generalized linear mixed model with a negative binomial distribution was used to assess the difference in the trend and magnitude of the combined count of reports for the entire sample and prescriber subsets that were segmented on the basis of the adoption status of PDMP.ResultsThe monthly mean of reports by combined prescribers and delegates significantly increased after the AD intervention (mean 28.1 pre vs. 53.0 post; P < 0.001), with the increase in delegate reports (mean 17.1 pre vs. 60.0 post; P < 0.001) driving the overall increase. Reports were requested 40.4 times more often than in the preintervention period (P < 0.001). Patterns of pre- to postchanges in mean monthly report requests differed by baseline PDMP adoption status.ConclusionThe AD intervention was transformative in facilitating practice change to use delegates to run reports. Visits with both prescribers and delegates, including hands-on PDMP training and registration assistance, can be viewed as beneficial for practice facilitation.

Project description:ObjectiveTo explore patients' with asplenia and general practitioners' (GPs) (1) perceptions of a novel, Health Action Process Approach (HAPA)-based, educational intervention which targets to increase adherence to post-splenectomy sepsis (PSS) prevention measures and (2) their experience in implementing prevention measures following this intervention.DesignA process evaluation conducted on average 3.5 (for patients) and 3.8 (for GPs) months after the intervention between January 2020 and April 2021 individually by means of semi-structured guideline-based telephone interviews. Data was analysed using qualitative content analysis.ParticipantsVolunteer subsample of N=25 patients with asplenia and N=8 GPs who received the intervention. Inclusion criteria were met by prior participation in the intervention (German-speaking, of full age and insured by the cooperating health insurance). Patient selection was done by purposeful selection aiming at maximum variability in terms of adherence to preventative measures prior to intervention participation. Participating GPs are a non-purposeful selected convenience sample. For reasons of data protection, no personal data was collected.ResultsThe intervention was positively evaluated and its personal relevancy for patients and for the GPs' professional work became apparent. The intervention promoted risk awareness, intention to action, action planning and subsequently, improved adherence to preventative measures. Helpful factors for implementation among the patients were social support by relatives and GPs. Barriers to adherence identified in both groups can be divided into patient-attributed (eg, comorbidities), doctor-related (eg, lack of knowledge or support) as well as contextual factors (eg, vaccine supply constraints).ConclusionsOur findings indicate a patient and GP perceived benefit of the intervention, but still identify prevailing barriers to implementation. In a further step, a quantitative evaluation of the intervention will be conducted and recommendations for integrating the intervention in usual care will be made.Trial registration numberDRKS00015238.

Dataset Information

Developing measures of educational change for academic health care teams implementing the chronic care model in teaching practices.

Background

Subjects

Method

Analysis

Results

Conclusion

Publications

Developing measures of educational change for academic health care teams implementing the chronic care model in teaching practices.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets