| Literature DB >> 23198132 |
Rajiv Bahl1, Jose Martines, Nita Bhandari, Zrinka Biloglav, Karen Edmond, Sharad Iyengar, Michael Kramer, Joy E Lawn, D S Manandhar, Rintaro Mori, Kathleen M Rasmussen, H P S Sachdev, Nalini Singhal, Mark Tomlinson, Cesar Victora, Anthony F Williams, Kit Yee Chan, Igor Rudan.
Abstract
AIM: This paper aims to identify health research priorities that could improve the rate of progress in reducing global neonatal mortality from preterm birth and low birth weight (PB/LBW), as set out in the UN's Millennium Development Goal 4.Entities:
Year: 2012 PMID: 23198132 PMCID: PMC3484758 DOI: 10.7189/jogh.02.010403
Source DB: PubMed Journal: J Glob Health ISSN: 2047-2978 Impact factor: 7.664
Figure 1CHNRI’s conceptual framework showing key steps required to get from investments in health research options to decrease in burden of death, disease or disability. The framework identifies criteria to discriminate between likelihoods of success of competing research options: (i) answerability; (ii) effectiveness; (iii) deliverability; (iv) maximum potential for disease burden reduction; and (v) predicted impact on equity in the population (right side). These criteria are not necessarily what drives investment decisions in health research today (left side) [6-8].
CHNRI’s starting framework from which listing of many research options (level of 3-to-5-year research program) and research questions (level of individual research papers) were being proposed by technical experts to systematically organize 82 research ideas
| Research instrument | Research avenue | Research option | Research question |
|---|---|---|---|
| Epidemiological research | Measuring the burden | Technical experts were invited to use categorization of research avenues and instruments to systematically propose a number of ‘research options’ within each of the avenues; ‘research options’ correspond to the level of 3-to-5-y research program | Technical experts were invited to propose a number of very specific ‘research questions’, corresponding to the title of individual research papers, within each of the ‘research avenues; eventually, after consolidation and removing of duplicate ideas, 82 such questions were retained for scoring |
| Understanding risk factors | |||
| Evaluating the existing interventions | |||
| Health policy and systems research | Studying capacity to reduce exposure to proven health risks | ||
| Studying capacity to deliver efficacious interventions | |||
| Research to improve existing interventions | Research to improve deliverability | ||
| Research to improve affordability | |||
| Research to improve sustainability | |||
| Research for development of new interventions | Basic research | ||
| Clinical research | |||
| Public health research |
Questions answered by technical experts to assign intermediate scores for each criterion to 82 competing research ideas*
| 1. Would you say the research question is well framed and endpoints are well defined? |
| 2. Based on: (i) the level of existing research capacity in proposed research; and (ii) the size of the gap from current level of knowledge to the proposed endpoints; would you say that a study can be designed to answer the research question and to reach the proposed endpoints of the research? |
| 3. Do you think that a study needed to answer the proposed research question would obtain ethical approval without major concerns? |
| 1. Based on the best existing evidence and knowledge, would the intervention which would be developed / improved through proposed research be efficacious? |
| 2. Based on the best existing evidence and knowledge, would the intervention which would be developed / improved through proposed research be effective? |
| 3. If the answer to either of the previous two questions is positive, would you say that the evidence upon which these opinions are based is of high quality? |
| 1. Taking into account the level of difficulty with intervention delivery from the perspective of the intervention itself (eg, design, standardization, safety), the infrastructure required (eg, human resources, health facilities, communication and transport infrastructure) and users of the intervention (eg, need for change of attitudes or beliefs, supervision, existing demand), would you say that the endpoints of the research would be deliverable within the context of interest? |
| 2. Taking into account the resources available to implement the intervention, would you say that the endpoints of the research would be affordable within the context of interest? |
| 3. Taking into account government capacity and partnership requirements (eg, adequacy of government regulation, monitoring and enforcement; governmental intersectoral coordination, partnership with civil society and external donor agencies; favorable political climate to achieve high coverage), would you say that the endpoints of the research would be sustainable within the context of interest? |
| As this dimension is considered “independent” of the others, in order to score competing options fairly, their maximum potential to reduce disease burden should be assessed as potential impact fraction under an ideal scenario, ie, when the exposure to targeted disease risk is decreased to 0% or coverage of proposed intervention is increased to 100% (regardless of how realistic that scenario is at the moment - that aspect will be captured by other dimensions of priority setting process, such as deliverability, affordability and sustainability) |
| Non-existing interventions† |
| Maximum potential to reduce disease burden should be computed as “potential impact fraction” for each proposed research avenue, using the equation PIF = [S(i = 1 to n) Pi (RRi-1)] / [S(i = 1 to n) Pi (RRi-1) + 1] |
| where PIF is “potential impact fraction” to reduce disease burden through reducing risk exposure in the population from the present level to 0% or increasing coverage by an existing or new intervention from the present level to 100%; RR is the relative risk given exposure level (less than 1.0 for interventions, greater than 1.0 for risks), P is the population level of distribution of exposure, and n is the maximum exposure level. |
| Existing interventions‡ |
| Maximum potential to reduce disease burden should be assessed from the results of conducted intervention trials; if no such trials were undertaken, then it should be assessed as for non-existing interventions. |
| Then, the following questions should be answered: |
| 1. Taking into account the results of conducted intervention trials**, or for the new interventions the proportion of avertable burden under an ideal scenario*, would you say that the successful reaching of research endpoints would have a capacity to remove 5% of disease burden or more? |
| 2. To remove 10% of disease burden or more? |
| 3. To remove 15% of disease burden or more? |
| 1. Does the present distribution of the disease burden affect mainly the underprivileged in the population? |
| 2. Would you say that either (i) mainly the underprivileged, or (ii) all segments of the society equally, would be the most likely to benefit from the results of the proposed research after its implementation? |
| 3. Would you say that the proposed research has the overall potential to improve equity in disease burden distribution in the long term (eg, 10 years)? |
*Possible answers: Yes = 1; No = 0; Informed but undecided answer: 0.5; Not sufficiently informed: blank.
†Interventions that are in the pipeline, or could be envisaged as a possibility, but have not been licensed for implementation yet.
‡Interventions that have been licensed for implementation, but may or may not have been evaluated and implemented.
Top 10 research questions according to their achieved research priority score (RPS), with average expert agreement (AEA) related to each question
| Rank | Proposed research question | Res. type | Answerable? | Effective? | Deliverable? | Burden reduct.? | Equitable? | AEA (%) | RPS (weigh) |
|---|---|---|---|---|---|---|---|---|---|
| 1 | Identification of low birth weight (LBW) infants within 24-48 h of birth for additional care among those born at home | HPSR | 94 | 89 | 89 | 71 | 89 | 82.1 | 84.2 |
| 2 | Approaches to improve quality of care of LBW infants in health facilities | HPSR | 81 | 100 | 94 | 79 | 72 | 80.8 | 83.9 |
| 3 | Identification of current behaviors, and barriers and supports for optimal home care practices, including care seeking for illness | HPSR | 86 | 78 | 86 | 74 | 97 | 77.6 | 82.7 |
| 4 | Approaches to increase the use of antenatal corticosteriods in preterm labor in resource-poor settings | HPSR | 81 | 91 | 100 | 71 | 81 | 81.9 | 82.4 |
| 5 | Effective interventions for achieving early initiation of breastfeeding including feeding mode and techniques for those unable to suckle directly from the breast | RIEI | 86 | 100 | 97 | 67 | 72 | 79.0 | 81.5 |
| 6 | Approaches to improve access to care for the subset of LBW infants who need hospital care | HPSR | 94 | 82 | 78 | 76 | 81 | 74.8 | 81.4 |
| 7 | Improved criteria for identifying LBW infants who need to be cared for in a hospital | EPI | 86 | 97 | 81 | 71 | 78 | 75.4 | 80.8 |
| 8 | Effectiveness of improved cord care (eg, chlorhexidine application) | RIEI | 94 | 91 | 81 | 60 | 86 | 78.7 | 78.8 |
| 9 | Comparison of Kangaroo Mother Care (KMC) and alternative methods of keeping the LBW infant warm in community settings | RIEI | 89 | 97 | 78 | 55 | 97 | 82.8 | 78.6 |
| 10 | Approaches to increase the use of antibiotics for premature prolonged rupture of membranes in resource-poor settings | HPSR | 94 | 81 | 75 | 60 | 97 | 75.7 | 78.2 |
EPI – epidemiological research, HPSR – health policy and systems research, RIEI – research to improve existing interventions, RDNI – research to develop new interventions
The bottom 10 research questions according to their overall research priority score (RPS), with average expert agreement (AEA) related to each question
| Rank | Proposed research question | Res. Type | Answerable? | Effective? | Deliverable? | Burden reduct.? | Equitable? | AEA (%) | RPS (weigh) |
|---|---|---|---|---|---|---|---|---|---|
| 73 | Contribution of preterm birth and intrauterine growth retardation to stunting in childhood (increased risk of LBW in next generation of girls subjected to stunting) | EPI | 86 | 39 | 22 | 14 | 81 | 71.6 | 43.6 |
| 74 | Development of safe and effective pharmacological methods of stimulating breastmilk supply | RDNI | 64 | 41 | 34 | 33 | 42 | 61.8 | 41.5 |
| 75 | Approaches to reduce smoking in fathers of unborn chidren during pregnancy | HPSR | 67 | 25 | 39 | 21 | 50 | 63.2 | 37.8 |
| 76 | Development of interventions for activating endogenous surfactant production through gene switching | RDNI | 47 | 54 | 6 | 36 | 39 | 62.9 | 36.2 |
| 77 | Investigating the relationship between sleeping arrangements, infections and SIDS in LBW infants | EPI | 56 | 56 | 6 | 26 | 44 | 67.6 | 35.8 |
| 78 | Determine the degree to which second-hand smoke contributes to LBW among non-smoking women | EPI | 64 | 42 | 22 | 10 | 56 | 70.3 | 34.3 |
| 79 | Development of methods for harmonising the composition of expressed breastmilk to infant requirements without constraining output | RDNI | 50 | 59 | 13 | 19 | 42 | 67.1 | 33.9 |
| 80 | Development of maternal biochemical indicators predicting low birth weight | EPI | 69 | 28 | 18 | 26 | 31 | 63.3 | 33.5 |
| 81 | Investigating the relationship of the home environment and neurocognitive development of LBW infants | EPI | 53 | 50 | 28 | 0 | 58 | 71.1 | 31.9 |
| 82 | Development of interventions for activation of HbA synthesis to ameliorate early anemia in preterm babies | RDNI | 53 | 46 | 6 | 21 | 39 | 67.2 | 31.5 |
EPI – epidemiological research; HPSR – health policy and systems research; RIEI – research to improve existing interventions; RDNI – research to develop new interventions