National Priority Setting of Clinical Practice Guidelines Development for Chronic Disease Management

Using a priority setting exercise to identify priorities for guidelines on newborn and child health in South Africa, Malawi, and Nigeria

BACKGROUND

Sub-Saharan Africa is the region with the highest under-five mortality rate globally. Child healthcare decisions should be based on rigorously developed evidence-informed guidelines. The Global Evidence, Local Adaptation (GELA) project is enhancing capacity to use global research to develop locally relevant guidelines for newborn and child health in South Africa (SA), Malawi, and Nigeria. The first step in this process was to identify national priorities for newborn and child health guideline development, and this paper describes our approach.

METHODS

We followed a good practice method for priority setting, including stakeholder engagement, online priority setting surveys and consensus meetings, conducted separately in South Africa, Malawi and Nigeria. We established national Steering Groups (SG), comprising 10-13 members representing government, academia, and other stakeholders, identified through existing contacts and references, who helped prioritise initial topics identified by research teams and oversaw the process. Various stakeholders were consulted via online surveys to rate the importance of topics, with results informing consensus meetings with SGs where final priority topics were agreed.

RESULTS

Based on survey results, nine, 10 and 11 topics were identified in SA, Malawi, and Nigeria respectively, which informed consensus meetings. Through voting and discussion within meetings, and further engagement after the meetings, the top three priority topics were identified in each country. In SA, the topics concerned anemia prevention in infants and young children and post-discharge support for caregivers of preterm and LBW babies. In Malawi, they focused on enteral nutrition in critically ill children, diagnosis of childhood cancers in the community, and caring for neonates. In Nigeria, the topics focused on identifying pre-eclampsia in the community, hand hygiene compliance to prevent infections, and enteral nutrition for LBW and preterm infants.

CONCLUSIONS

Through dynamic and iterative stakeholder engagement, we identified three priority topics for guideline development on newborn and child health in SA, Malawi and Nigeria. Topics were specific to contexts, with no overlap, which highlights the importance of contextualised priority setting as well as of the relationships with key decisionmakers who help define the priorities.

The implementation of prioritization exercises in the development and update of health practice guidelines: A scoping review

Background

The development of trustworthy guidelines requires substantial investment of resources and time. This highlights the need to prioritize topics for guideline development and update.

Objective

To systematically identify and describe prioritization exercises that have been conducted for the purpose of the de novo development, update or adaptation of health practice guidelines.

Methods

We searched Medline and CINAHL electronic databases from inception to July 2019, supplemented by hand-searching Google Scholar and the reference lists of relevant studies. We included studies describing prioritization exercises that have been conducted during the de novo development, update or adaptation of guidelines addressing clinical, public health or health systems topics. Two reviewers worked independently and in duplicate to complete study selection and data extraction. We consolidated findings in a semi-quantitative and narrative way.

Results

Out of 33,339 identified citations, twelve studies met the eligibility criteria. All included studies focused on prioritizing topics; none on questions or outcomes. While three exercises focused on updating guidelines, nine were on de novo development. All included studies addressed clinical topics. We adopted a framework that categorizes prioritization into 11 steps clustered in three phases (pre-prioritization, prioritization and post-prioritization). Four studies covered more than half of the 11 prioritization steps across the three phases. The most frequently reported steps for generating initial list of topics were stakeholders’ input (n = 8) and literature review (n = 7). The application of criteria to determine research priorities was used in eight studies. We used and updated a common framework of 22 prioritization criteria, clustered in 6 domains. The most frequently reported criteria related to the health burden of disease (n = 9) and potential impact of the intervention on health outcomes (n = 5). All the studies involved health care providers in the prioritization exercises. Only one study involved patients. There was a variation in the number and type of the prioritization exercises’ outputs.

Conclusions

This review included 12 prioritization exercises that addressed different aspects of priority setting for guideline development and update that can guide the work of researchers, funders, and other stakeholders seeking to prioritize guideline topics.

Association between re-admission rate and hospital characteristics for ischemic heart disease

OBJECTIVE

Hospital re-admission is considered an important marker of patient health outcomes and healthcare system performance. Korea introduced the Korean Diagnosis Procedure Combination (KDPC) for all regional public hospitals in July 2012. This study examined re-admission rates within 30 days to assess whether the hospital payment system is associated with the re-admission rate, focusing on ischemic heart disease.

METHODS

A cross-sectional study was conducted using national claims data for 2013. We analyzed data of patients with a major diagnosis of ischemic heart disease who were admitted to general hospitals with more than 500 beds in Korea. Of the eight general hospitals, two that have been operating under the new Korean payment system were public hospitals using the KDPC, and the remaining six were private general hospitals with fee for service (FFS) systems. Multiple logistic regression analysis was used to identify associations between re-admission rate and hospital characteristics.

RESULTS

The study analyzed 4,290 cases (889 cases in KDPC and 3,401 cases in FFS). The 30-day unplanned re-admission rate was higher in KDPC than in FFS (7.9% vs 5.6%, respectively). The unplanned re-admission odds ratios of KDPC was 1.74.

CONCLUSIONS

KDPC had higher 30-day unplanned re-admissions rates than did FFS.