Nutrition intervention program planning monitoring and evaluation
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Join us, we promise to give users new and great experiences more than what you expect. Nutrition Monitoring and Evaluation Snapshot - ncpro. Conclusions: This process evaluation confirmed that the proposed nutrition intervention strategy for young children can be implemented at the local level.
For sustainability, the passing of local ordinance for the adoption of intervention and budget support for implementation of the intervention is recommended. When asked about information about changes in the workplace, respondents talked about several interrelated issues: information about the OI activities, problems of assigning time for information distribution and general information about changes.
Regarding the OI, some respondents experienced a lack of information and hence did not know where the process was headed. One interviewee explained that information did not come about by itself, one needed to actively seek out information and another employee problematized the balancing act of having limited time to seek information.
A consistent theme in the interviews was that changes in the company on a both organizational and team level significantly affected the OI and that information about these changes was insufficient. Not only did the interviewees report several cases of restructuring of work tasks but also of layoffs.
These disturbances were even seen by interviewees as being used by line and area managers as excuses for not focusing sufficiently on the implementation of the OI. A problem that was raised about concurrent projects, especially during the layoffs, was that the information and developed practices were fleeting. Several interviewees hence articulated a reluctance to commit themselves to novel projects as many had substantial previous experiences with change failure. This theme demonstrated that though employees positively rated the information regarding changes in the questionnaire, their daily experiences of lack of information and navigating in a complex organization proved difficult.
Likewise the interviews highlighted that the juxtaposition of wanting more information and the cost of having to spend time on acquiring it. Interviewees presented a lot of statements about how they perceived the need for specific aspects of the OI such as the format of being involved, developing action plans and participating. Some experienced that there had been a need for a new way of working with screening and action planning in smaller groups, while others would have preferred that everyone was participating in the activities.
In the interviews talk about the OI was also often linked to experiences with other similar activities and how they had often been forgotten in the long run. Some excused not having had sufficient time and resources for the OI due to concurrent organizational changes such as layoffs, merging teams or changing managers.
A general assessment was that the process and outcome questionnaire used in the OI was too long but some relevant aspects were identified. Some interviewees did not remember completing the questionnaire, but they often explain that they had likely done it and since forgotten about it.
A group of interviewees explained that the questionnaire is superseded by concurrent events such as managerial change. The final theme was very different in the interviews than the two items in the questionnaire.
Interviewees in the semi-structured interviews did not restrain themselves to only answering the questions regarding the need for the OI, but instead gave accounts of the contextual setting that they had to assess the need for an OI in.
They expressed change fatigue and compared the OI to previous failed projects and an annual attitude surveys that suffered from a lack of follow-up. Thus, the interviews provided important information about what factors employees consider before deciding whether to commit to an OI. In the interviews we are offered explanations of how the OI fared in the practical reality of the daily postal life with hindrances such as canceled meetings, forgotten questionnaires, and unsupportive line managers.
Such information is paramount in the task of providing a detailed assessment of whether an intervention as such has failed theory failure , or it has not been adopted adequately to have had a chance to be effective implementation failure; Nielsen et al.
It allowed us to investigate, not only the degree of implementation, but also which contextual factors have caused the OI to function as it did. A further central quality of the interviews is that they reveal how the intervention became embedded in the larger narrative of the company and became a part of the intervention history of the company.
How the intervention is seen by participants compared to previous similar projects is a key result of the interviews. The aim of this paper was to examine what information about the intervention process is to be gained from quantitative RQ1 and qualitative RQ2 process evaluation.
The results in this paper have shown that for RQ1 the EFA analysis identified four distinct factors in the data, providing a set of scales for potential further inquiry and comparison. The qualitative data assessed in RQ2 in contrast demonstrated how the intervention fit the organization, and provided colorful context specific details about the intervention.
A central question in mixed methods research has been how data are combined and what role different sources play in analyses Bryman, ; Johnson et al. The relevance of using a thorough qualitative assessment of the context and perceptions as well as a quantitative assessment of implementation and proximal effect of change processes seems to intuitively speak for a methodological approach where both methods are used to approximate the details of the intervention process in question Greene et al.
Studies have shown the potential of mixed methods by drawing on both types of process data in combination with outcome measures to get a precise estimate of processes and effects e.
These studies can be seen as using a form of mixed methods, labeled by Bryman as complimentary mixed methods, which demonstrates how the use of one data type qualitative in this case to show depth and detail can complement and nuance the results from another data type showing breadth and representativeness quantitative in this case.
The current study, however, sheds light on specific aspects of the use of qualitative and quantitative data in mixed methods evaluations of organizational interventions. The fact that the quantitative process evaluation results presented a psychometrically valid factor structure with constructs that were mirrored in the qualitative data shows speaks for the validity of this method and the validity of the following characteristics: First of all a key quality of quantitative measurement is that researchers can gain valuable information about key issues from a large proportion of the sample using few resources.
If intervention outcomes are measured using pre- and post-intervention questionnaires, one should not overlook the practicality of also measuring process using questionnaire items. Compared to conducting lengthy interviews or focus groups it is convenient for respondents to also answer a number of process questions that measure key constructs known to be relevant for implementation and that can be linked to quantitative outcome evaluation Murta et al.
Several studies have shown that interventions do not necessarily affect the entire intervention group, or have similar effects in all subgroups Nielsen et al. The use of quantitative data also enables for comparison of items of implementation across different contexts or intervention instances which is a substantial quality of quantitative process evaluation data. First and foremost the qualitative interviews provided a more detailed narrative contextual account of the themes identified in the factor analysis, which gives the reader a richer understanding of the intervention and its context than the quantitative methods.
The qualitative data shed light on how organizations and their members do not exist in a historical vacuum; the intervention is compared to past activities and concurrent events.
Qualitative data is also central for conducting a thorough process evaluation because aspects not measured in the quantitative questionnaires are likely to be affecting the results. This was seen in quotes where the employees explained nuanced aspects of line managers actions, how line managers were focusing on other aspects, how information was somehow both needed, but not wanted badly enough to call for action.
Complex aspects of organizational reality, such as these, need to be uncovered using a qualitative assessment, as quantitative methods have difficulties illuminating these aspects.
Similarly the interviews reveal a substantial insecurity about which outcomes are related to which activities, a problem that is not easily assessed with the questionnaires. Identifying such problematic gaps in implementation is a key benefit of explorative qualitative assessment that helps push implementation and evaluation of OIs further.
Another issue was how employees were focused on the increasing problems of downsizing and organizational change in the postal service. Conducting interviews where questions were posed about the general state of the organization made it possible to analyze how the changes were perceived, and hence how the changes might influence the outcome of the OI.
The results from this study first of all confirm the relevance and need for application of mixed methods designs to the process evaluation of organizational interventions, as different methodological tasks are better handled by applying different methods.
Though this study demonstrates that it is possible to combine data sources to a mixed methods analysis of specific constructs it also puts weight behind the argument that each method would be suboptimal on its own Greene et al.
A key aspect of intervention evaluation projects is that they are linked to time limited events i. In contrast to the parallel design the results from this study suggest that there are potential benefits from sequentially harnessing methods to improve the evaluation, or even using reiterative cycles of mixed methods application Nastasi et al.
The results from quantitative analyses can be used to guide, not only qualitative analysis as was done in this study but also the qualitative data collection to ensure that specific aspects that have been found to be puzzling are being qualitatively uncovered Nastasi et al.
Likewise interviews can be used to guide survey development to both select items and scales or even develop tailored items based on interview content c. The question is hence not whether or not mixed methods should be used, but instead which mixed methods design is most appropriate. Here a starting point could be to examine the program theory Pawson, underpinning the OI and consider which aspects are most appropriately and comprehensively covered by different methods. The present study used data from an OI conducted in two regions in one company.
Though this is a clear limitation of the generalizability of the results, the fit with general findings in the literature suggest that the results are still usable for other researchers. As this is a study of evaluation methods, generalizability of the concrete findings is not a key quality of the study and therefore we consider the amount of data adequate.
Another limitation is that the process data collection in the intervention is very thorough in the qualitative part and perhaps not as thorough in the quantitative where only 16 items were used to measure the process. The quantitative results presented a limited picture of the intervention, but we might be able to legitimate more complex analyses if we had included more items. The survey was conducted after the interviews and hence the adaptation of the IPM would be influenced by crucial elements of the interviews.
We suggest that researchers venturing into mixed methods evaluation designs carefully consider what aspects of the intervention process should be assessed by which data collection method. Qualitative process data has the potential to tie together meaning, context and narratives of the intervention and the organization. Both are applicable in OI evaluation but researchers must use them wisely to harness their strengths as they have different methodological presuppositions and answer different questions.
JA and KN conducted the intervention and collected the data for the study. JA wrote the draft of the paper and conducted the qualitative and quantitative analyses. PS and KN contributed substantially to its development, refinement of the analyses, presentation and discussion of the results. The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
National Center for Biotechnology Information , U. Front Psychol. Published online Sep Johan S. Saksvik , 2 and Karina Nielsen 3. Author information Article notes Copyright and License information Disclaimer. Reviewed by: M. Abildgaard, kd.
This article was submitted to Organizational Psychology, a section of the journal Frontiers in Psychology. Skip directly to site content Skip directly to page options Skip directly to A-Z link. Workplace Health Promotion. Section Navigation.
Facebook Twitter LinkedIn Syndicate. Health Outcomes Nutrition Evaluation Measures. Minus Related Pages. Health outcomes measures for nutrition The effectiveness of nutrition programs depends on the intensity of program effort and the use of multiple interventions.
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