Institutionalising community engagement for quality of care: moving beyond the rhetoric

Gilmore, Brynne; Dsane-Aidoo, Paul Henry; Rosato, Mikey; Yaqub, Nuhu Omeiza; Doe, Roseline; Baral, Sushil

doi:10.1136/bmj-2022-072638

Cited by 5 publications

(5 citation statements)

References 32 publications

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“…Health care users need to be continuously engaged in the QOC dialogue. The Network countries have demonstrated that this can happen when there is a deliberate process and platforms for engaging them ( 32 , 39 ). However, we are still at the early stages of understanding the mechanisms needed to sustain this engagement.…”

Section: Discussionmentioning

confidence: 99%

“…However, we are still at the early stages of understanding the mechanisms needed to sustain this engagement. Countries such as Malawi and Ghana have set up structures to strengthen the engagement of communities, but the functionality of these structures has been a challenge, and require further attention to be fully operational and sustained ( 39 ).…”

Section: Discussionmentioning

confidence: 99%

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Strengthening the policy, implementation, and accountability environment for quality care: experiences from quality of care network countries

Maliqi,

Cocoman,

Dohlsten

et al. 2024

Front. Health Serv.

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Despite global commitment to universal health coverage with quality, poor quality of care (QOC) continues to impact health outcomes for mothers and newborns, especially in low-and-middle income countries. Although there is much experience from small-scale projects, without a long-term perspective it is unclear how to implement quality of care effectively and consistently for impact. In 2017, ten countries together with the WHO and a coalition of partners established the Network for Improving Quality of Care for Maternal, Newborn and Child Health (the Network). The Network agreed to pursue four strategic objectives—Leadership, Action, Learning and Accountability (LALA) for QOC. This paper describes, analyses and reflects on what has worked and some of the challenges faced in implementation of the LALA framework. The implementation of the LALA framework has served as a catalyst to develop an enabling environment for QOC in the Network countries through strengthening the policy, implementation, accountability and community engagement for quality care. Developing an enabling health system environment takes time, but it is possible and shows results. The implementation shows that health systems continue to face persistent challenges such as capacities to quickly scale up changes across subnational levels, limited workforce capability to implement quality improvement consistently and gaps in quality of relevant data. The implementation has also highlighted the need to develop new mechanisms for community engagement and learning systems that inform scaling up of good QOC practices across programmes and levels of care. Moving forward, the Network countries will build on the experiences and lessons learned and continue to strengthen the implementation of LALA strategic objectives for impact. We hope the Network experience will encourage other countries and partners to adopt the Network implementation model to enable delivery of quality care for everyone, everywhere, and actively collaborate and contribute to the QOC global learning network.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Strengthening the policy, implementation, and accountability environment for quality care: experiences from quality of care network countries

Maliqi,

Cocoman,

Dohlsten

et al. 2024

Front. Health Serv.

View full text Add to dashboard Cite

show abstract

“…Then, closer than that, recognizing the former should be based on three dimensions: the temporal clinical practice following a continually updated clinical guideline [ 57 ], the spatial variation of the patient demographics [ 58 – 60 ], and the infinitely varied efficiencies of hospital operational systems [ 61 , 62 ]. The first raises a requirement on the prospective validation of prediction models and endows the prediction model with a remarkable valid period [ 57 , 63 ].…”

Section: Represent Accurately and Integrate Into Clinical Practice Se...mentioning

confidence: 99%

Clinical data mining: challenges, opportunities, and recommendations for translational applications

Qiao,

Chen,

Qian

et al. 2024

J Transl Med

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Clinical data mining of predictive models offers significant advantages for re-evaluating and leveraging large amounts of complex clinical real-world data and experimental comparison data for tasks such as risk stratification, diagnosis, classification, and survival prediction. However, its translational application is still limited. One challenge is that the proposed clinical requirements and data mining are not synchronized. Additionally, the exotic predictions of data mining are difficult to apply directly in local medical institutions. Hence, it is necessary to incisively review the translational application of clinical data mining, providing an analytical workflow for developing and validating prediction models to ensure the scientific validity of analytic workflows in response to clinical questions. This review systematically revisits the purpose, process, and principles of clinical data mining and discusses the key causes contributing to the detachment from practice and the misuse of model verification in developing predictive models for research. Based on this, we propose a niche-targeting framework of four principles: Clinical Contextual, Subgroup-Oriented, Confounder- and False Positive-Controlled (CSCF), to provide guidance for clinical data mining prior to the model's development in clinical settings. Eventually, it is hoped that this review can help guide future research and develop personalized predictive models to achieve the goal of discovering subgroups with varied remedial benefits or risks and ensuring that precision medicine can deliver its full potential.

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“…These mechanisms, often driven by the health system, aim to ensure users’ participation and demonstrate accountability of health services. Examples include the community scorecards in Ethiopia and Ghana, which are co-developed and jointly implemented with communities 89…”

Section: People Centred Carementioning

confidence: 99%

“…Examples include the community scorecards in Ethiopia and Ghana, which are co-developed and jointly implemented with communities. 8 9…”

Section: People Centred Carementioning

confidence: 99%

Enable, engage, and innovate for quality

Chiponda,

Tadesse,

Dussey

et al. 2023

BMJ

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Institutionalising community engagement for quality of care: moving beyond the rhetoric

Abstract: Community engagement has the potential to improve quality of care but is poorly represented in policy and the literature; its institutionalisation in health systems must be supported, argue Brynne Gilmore and colleagues

Cited by 5 publications

References 32 publications

Strengthening the policy, implementation, and accountability environment for quality care: experiences from quality of care network countries

Strengthening the policy, implementation, and accountability environment for quality care: experiences from quality of care network countries

Clinical data mining: challenges, opportunities, and recommendations for translational applications

Enable, engage, and innovate for quality

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