Monitor to innovate with feedback loops: process evaluation protocol for an anemia prevention intervention

Pant, Ichhya; Patro, Lipika; Sedlander, Erica; Chandrana, Shikha; Rimal, Rajiv N.

doi:10.12688/gatesopenres.13417.2

Cited by 3 publications

(2 citation statements)

References 30 publications

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“…The EO role, which was supplemented with funding for individual Providers, are further examples of using evaluative reasoning to modify the programme and demonstrate the complexity of using feedback loops in a meaningful way (59). Even when information was employed e ciently to modify WMCP, it was sometimes counterproductive.…”

Section: Monitoring and Evaluating The Programmementioning

confidence: 99%

Development and implementation of a novel approach to scaling the Meeting Centre intervention for people living with dementia and their unpaid care workers in the community

STEPHENS,

EVANS,

RUSSELL

et al. 2024

Preprint

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Background In the UK there is a post-diagnostic support gap experienced by people affected by dementia. Effective post-diagnostic support interventions, therefore, need to be replicated at scale to meet demand. Reporting an intervention is key to this process because it can support the translation of research into routine practice. Describing the intervention is a key area of reporting recommended when developing, implementing, and evaluating complex health interventions. The objective of this study was to systematically report a novel county-wide approach for scaling the Meeting Centre intervention for people living with dementia and their unpaid carers. Methods An adapted version of the Template for Intervention Description and Replication (TIDieR) checklist was used to describe the programme. Adaptations were made to consider items specific to complex social interventions and scaling programmes. Key programme stakeholders contributed to its development. Results The adapted TIDieR checklist was an effective way to systematically report essential reporting criteria for the complex scaling programme. Criteria included the components and sub-components, how these were adaptatively implemented, and the modifications made because of complexity. Discussion Key findings suggest essential features of the intervention may not be feasible at scale; highlight the critical role of the programme leader to drive culture and systems change; and emphasise the use of scaling science frameworks to determine optimal scale. Conclusions This research reported the programme’s development and implementation that can aid the process of translating evidence into routine practice. Further research and theory development should include testing implementation outcomes so that we can understand if the intervention is a scalable solution to the gap in the post-diagnostic support for people affected by dementia.

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Section: Monitoring and Evaluating The Programmementioning

confidence: 99%

Development and implementation of a novel approach to scaling the Meeting Centre intervention for people living with dementia and their unpaid care workers in the community

STEPHENS,

EVANS,

RUSSELL

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…For example, the Bill and Melinda Gates Foundation has sponsored The Curve , a global community of practice that aims to help programs become more skilled at using responsive feedback to achieve better results ( https://the-curve.org ), and the journal Global Health: Policy and Practice is devoting a special issue to the subject. Responsive feedback mechanisms aim to “…allow intervention information to flow back to the program implementers on an ongoing basis so that appropriate changes in intervention delivery strategy can be adopted throughout the implementation period” ( Pant et al , 2023 ). As such, responsive feedback serves an important learning function, based on successes as well as failures.…”

Section: Introductionmentioning

confidence: 99%

Using responsive feedback from routine monitoring data to guide course corrections for a family planning intervention in Nigeria

Meekers,

Olutola,

Abu Turk

2023

Gates Open Res

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Background This paper aims to promote the use of simple interrupted time series (ITS) analyses of routine data as a responsive feedback tool to improve public health programs. Although advanced ITS techniques exist, their use is often not feasible due to limitations in funding or research capacity. We propose an Excel-based analysis that requires minimal resources or statistical expertise, and illustrate it by measuring the effect of a radio campaign to promote a family planning call center in Nigeria on the demand for family planning information. Methods We used a single group interrupted time series design (ITS) as a responsive feedback mechanism to determine whether the radio campaign influenced use of the Honey&Banana call center. ITS is ideal when there is no control group. ITS uses the pre-intervention trend to predict what would have happened if the intervention were absent. Results After conducting ITS analyses, the results show that the number of calls requesting family planning information increased throughout the campaign period, with a gain of about 500 additional calls per month, and then decreased after the campaign ended. However, the number of calls gained from the campaign was substantially lower than anticipated. Conclusions While end-of-project impact evaluations are necessary, there should be regular feedback system to provide program implementers with information about the status of the project, such as failures, successes, and areas of improvements. This would allow implementers to make necessary adjustments as needed throughout the intervention period. The finding that the radio campaign was not living up to expectations helped Honey&Banana program implementers to end the campaign prematurely and re-allocate resources to a more promising activity. Our research shows that basic Excel-based ITS analysis of routine data can be a useful tool for receiving regular feedback to guide programming improvements for organizations that have limited resources and/or research capacity.

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Using responsive feedback from routine monitoring data to guide course corrections for a family planning intervention in Nigeria

2023

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Background: This paper aims to promote the use of interrupted time series analyses of routine data as a responsive feedback tool to improve public health programs on an ongoing basis. This methodology is demonstrated by measuring the effect of a radio campaign to promote a family planning call center in Nigeria on the demand for family planning information and explains how the results were used to adapt the program. Methods: We used a single group interrupted time series design (ITS) as a responsive feedback mechanism to determine whether the radio campaign influenced use of the Honey&Banana call center. ITS is ideal when a control group is not available and assumes that an interruption of the trend in the outcome measure occurs after the intervention starts. ITS uses the pre-intervention trend to predict what would have happened if the intervention were absent. Results: After conducting ITS analyses, the results show that the number of calls requesting family planning information increased throughout the campaign period, with a gain of about 500 additional calls per month, and then decreased after the campaign ended. However, the number of calls gained from the campaign was substantially lower than anticipated. Conclusions: While end-of-project impact evaluations are necessary, there should be regular feedback system to provide program implementers with information about the status of the project, such as failures, successes, and areas of improvements. This would allow implementers to make necessary adjustments as needed throughout the intervention period. The finding that the radio campaign was not living up to expectations helped program implementers to end the campaign prematurely and re-allocate resources to a more promising activity. Our research shows that basic ITS analysis of routine data can be a useful tool for receiving regular feedback to guide programming improvements.

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Monitor to innovate with feedback loops: process evaluation protocol for an anemia prevention intervention

Cited by 3 publications

References 30 publications

Development and implementation of a novel approach to scaling the Meeting Centre intervention for people living with dementia and their unpaid care workers in the community

Development and implementation of a novel approach to scaling the Meeting Centre intervention for people living with dementia and their unpaid care workers in the community

Using responsive feedback from routine monitoring data to guide course corrections for a family planning intervention in Nigeria

Using responsive feedback from routine monitoring data to guide course corrections for a family planning intervention in Nigeria

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