2014
DOI: 10.1186/1471-2334-14-268
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Framework of behavioral indicators for outcome evaluation of TB health promotion: a Delphi study of TB suspects and Tb patients

Abstract: BackgroundHealth promotion for prevention and control of Tuberculosis (TB) is implemented worldwide because of its importance, but few reports have evaluated its impact on behavior due to a lack of standard outcome indicators. The objective of this study was to establish a framework of behavioral indicators for outcome evaluation of TB health promotion among TB suspects and patients.MethodsA two-round modified Delphi method involving sixteen TB control experts was used to establish a framework of behavioral in… Show more

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Cited by 33 publications
(47 citation statements)
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“…The Delphi method is a broadly accepted strategy for developing consensus recommendations based on expert opinion. The Delphi methodology dates back to the 1950s and was developed to create consensus in social science topics [28][29][30][31][32][33][34]. The methodology is particularly relevant when substantial experience and knowledge on a particular topic are available, but definitive experiments to prove the point are lacking.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…The Delphi method is a broadly accepted strategy for developing consensus recommendations based on expert opinion. The Delphi methodology dates back to the 1950s and was developed to create consensus in social science topics [28][29][30][31][32][33][34]. The methodology is particularly relevant when substantial experience and knowledge on a particular topic are available, but definitive experiments to prove the point are lacking.…”
Section: Discussionmentioning
confidence: 99%
“…There are no generally accepted criteria defining consensus in Delphi studies, and given the wide variety of topics investigated using the Delphi approach, it may not be possible to define generally applicable criteria [32,33,35]. Clearly the consensus represents a degree of agreement only among the experts and may be refuted in the future by rigorous studies [30,31,35].…”
Section: Discussionmentioning
confidence: 99%
“…In data processing, descriptive statistical analysis was expressed as frequency, rate, mean and standard deviation. The reliability and representation of the expert consultation were measured according to the following factors: (a) positive feedback rate: Indicated by the rate of return of expert questionnaires and the proposed rate of presentation; (b) authority coefficient: The authority coefficient (Cr) (Li et al, ) was calculated according to the following formula: Cr = (Cs + Ca)/2, where Cs is the experts' familiarity with the indicators and Ca is the judgement criteria for the indicators (Brown, ). The degree of familiarity with the content of the questionnaires and their respective assignments were categorised as follows: extremely familiar (1.00); very familiar (0.80); generally familiar (0.60); less familiar (0.40) and unfamiliar (0.20).…”
Section: Methodsmentioning
confidence: 99%
“…Evaluation indicators for each of the above target populations are complex and relatively independent. In our previous report, we sought to identify an indicator framework for assessing TB health-promotion activities targeted at TB suspects and TB patients [ 33 ]. In this paper, we seek to address a gap related to the lack of indicators for assessing TB health promotion targeted at policymakers and HCWs.…”
Section: Introductionmentioning
confidence: 99%
“…In this paper, we seek to address a gap related to the lack of indicators for assessing TB health promotion targeted at policymakers and HCWs. Although our earlier study [ 33 ] and the current study followed similar Delphi methodology involving the same study population, data were collected separately for TB patients and suspects, and for TB policymakers and healthcare workers. TB patients and suspects are a unique population; thus, it is important to report separately the behavioral indicators of TB promotional activities directed at them in order to inform policy and practice with a more focused understanding and effective use of data.…”
Section: Introductionmentioning
confidence: 99%