A stitch in time saves nine? A repeated cross-sectional case study on the implementation of the intersectoral community approach Youth At a Healthy Weight

Kleij, Rianne van der; Crone, Mathilde R.; Paulussen, T.G.W.M.; Gaar, V. M. van de; Reis, Ria

doi:10.1186/s12889-015-2306-0

Cited by 11 publications

(16 citation statements)

References 68 publications

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“…Rapid assessment procedures have been used in evaluation studies of healthcare organization and delivery (92). However, with few exceptions (3, 51), they have been used primarily as standalone investigations with no integration with quantitative methods (11, 36, 44, 83, 97).…”

Section: Procedures For Collecting Qualitative Datamentioning

confidence: 99%

“…QCA has increasingly been used in health services research to evaluate program effectiveness and implementation where outcomes are dependent on interconnected structures and practices (15, 28, 30, 46, 47, 48, 90, 92). For instance, Kane and colleagues (43) used QCA to examine the elements of organizational capacity to support program implementation that result in successful completion of public health program objectives in a public health initiative serving 50 communities.…”

Section: Procedures For Analyzing Qualitative Datamentioning

confidence: 99%

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Innovations in Mixed Methods Evaluations

Palinkas

Mendon

Hamilton

2019

Annu. Rev. Public Health

223

128

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Mixed methods research—i.e., research that draws on both qualitative and qualitative methods in varying configurations—is well suited to address the increasing complexity of public health problems and their solutions. This review focuses specifically on innovations in mixed methods evaluations of intervention, program or policy (i.e., practice) effectiveness and implementation. The article begins with an overview of the structure, function and process of different mixed methods designs and then provides illustrations of their use in effectiveness studies, implementation studies, and combined effectiveness-implementation hybrid studies. The article then examines four specific innovations: procedures for transforming (or “quantitizing”) qualitative data, applying rapid assessment and analysis procedures in the context of mixed methods studies, development of measures to assess implementation outcomes, and strategies for conducting both random and purposive sampling particularly in implementation-focused evaluation research. The article concludes with an assessment of challenges to integrating qualitative and quantitative data in evaluation research.

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Section: Procedures For Collecting Qualitative Datamentioning

confidence: 99%

Section: Procedures For Analyzing Qualitative Datamentioning

confidence: 99%

Innovations in Mixed Methods Evaluations

Palinkas

Mendon

Hamilton

2019

Annu. Rev. Public Health

223

128

View full text Add to dashboard Cite

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“…Given the outcome that, regardless of organizational size and culture, compatibility with other designated tasks on the individual professional level is the key determinant in the first toilsome stage from adoption to initial implementation, it is important that managers create an environment that professionals perceive as encouraging for implementation [48]. As also advised by Van der Kleij et al [49], emphasis should be placed on limiting the number of prescribed activities and allocating sufficient time to get experienced with the innovation. Therefore we recommend for clinical practice, that managers and administrators of adopting organizations should not only properly reserve formal and operational time for intended users, but also fine-tune allocated time with professionals during the process.…”

Section: Discussionmentioning

confidence: 99%

Pace and determinants of implementation of the self-management of well-being group intervention: a multilevel observational study

Kuiper

Steverink

Stewart

et al. 2019

BMC Health Serv Res

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BackgroundWhen implementing an empirically supported intervention (ESI) arrays of influencing factors operate on the professional and organizational level, but so far dependency between these levels has often been ignored. The aim of this study is to describe the pace and identify determinants of implementation of the Self-Management of Well-being (SMW) group intervention while taking the dependency between professionals and organizations into account.MethodsPace of implementation was measured as the time between training of professionals and first use of the SMW intervention in months. Determinants of first use were derived from the Fleuren framework and assessed using web-based questionnaires and telephone interviews. First, univariate analyses, Fisher’s exact tests and t-tests, were performed to identify determinants of first use of the SMW intervention on the individual professional and the organizational level independently. Second, multilevel analyses were performed to correct for the dependency between professionals and organizations. Simple multilevel logistic regression analyses were performed with determinants found significant in the univariate analyses as independent variables, first use as dependent variable, professionals entered in the first level, and organizations in the second level.ResultsForty-eight professionals from 18 organizations were trained to execute the SMW intervention. Thirty-two professionals achieved first use, at a mean pace of 7.5 months ± 4.2. Determinants on the professional level were ‘ownership’, ‘relative advantage’, ‘support from colleagues’ and ‘compatibility’. Determinants on the organizational level were ‘organizational size’ and ‘innovation-task orientation fit’. Multilevel analysis showed that ‘compatibility’, a factor on the professional level, was the only significant determinant contributing to first use in the multilevel model.ConclusionsThis implementation study revealed a strong dependency between professionals and organizations. Results showed that a majority of professionals used the SMW intervention in about 8 months. When the dependency between professionals and organization was taken into account, the professionals’ perception of compatibility was the only remaining determinant of implementation on the professional level. Organizational size and managers’ perception of ‘innovation-task orientation fit’ were determinants of implementation on the organizational level. It is advisable to discuss the compatibility between new and current tasks among managers and professionals before adopting a new intervention.Electronic supplementary materialThe online version of this article (10.1186/s12913-019-3891-x) contains supplementary material, which is available to authorized users.

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“…One researcher will perform transcription, and another will check them to ensure content accuracy. Therefore, based on prior literature in which specific theoretical frameworks were used for similar research questions [70][71][72][73][74], we will develop four distinct initial coding trees. For the first and second research questions, we will develop two coding trees based on the adapted version of the theoretical framework of Brakema et al, (submitted) and the TDF [75].…”

Section: Qualitative Data Analysismentioning

confidence: 99%

Development and evaluation of an eHealth self-management intervention for chronic kidney disease patients in China: protocol for a mixed-method hybrid type 2 trial

Shen¹,

Kleij²,

Boog³

et al. 2020

Preprint

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Background Chronic kidney disease (CKD) is a significant public health concern. In CKD patients, interventions that support disease self-management have shown to improve health status and quality of life. At the moment, the use of electronic health (eHealth) technology in self-management interventions is becoming more and more popular. Evidence suggests that eHealth-based self-management interventions can improve CKD patients’ health-related outcomes. However, knowledge of the implementation and effectiveness of such interventions in general, and in China in specific, is still limited. This study protocol aims to develop and tailor the evidence-based Dutch ‘Medical Dashboard’ eHealth self-management intervention for patients suffering from CKD in China and evaluate its implementation process and effectiveness. Methods To develop and tailor a Medical Dashboard intervention for the Chinese context, we will use an Intervention Mapping (IM) approach. A literature review and mixed-method study will first be conducted to examine the needs, beliefs, perceptions of CKD patients and care providers towards disease (self-management) and eHealth (self-management) interventions (IM step 1). Based on the results of step 1, we will specify outcomes, performance objectives, and determinants, select theory-based methods and practical strategies. Knowledge obtained from prior results and insights from stakeholders will be combined to tailor the core interventions components of the ‘Medical Dashboard’ self-management intervention to the Chinese context (IM step 2-5). Then, an intervention and implementation plan will be developed. Finally, a 9-month hybrid type 2 trial design (N=60) will be employed to investigate the effectiveness of the intervention using a pilot randomized controlled trial with two parallel arms, and the implementation integrity (fidelity) and determinants of implementation (IM step 6). Discussion Our study will result in the delivery of a culturally tailored, standardized eHealth self-management intervention for CKD patients in China, which has the potential to optimize patients' self-management skills and improve health status and quality of life. Moreover, it will inform future research on the tailoring and translation of evidence-based eHealth self-management interventions in various contexts.

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A stitch in time saves nine? A repeated cross-sectional case study on the implementation of the intersectoral community approach Youth At a Healthy Weight

Cited by 11 publications

References 68 publications

Innovations in Mixed Methods Evaluations

Innovations in Mixed Methods Evaluations

Pace and determinants of implementation of the self-management of well-being group intervention: a multilevel observational study

Development and evaluation of an eHealth self-management intervention for chronic kidney disease patients in China: protocol for a mixed-method hybrid type 2 trial

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