02967nas a2200265   4500000000100000008004100001653001200042653004400054653001000098100001200108700002000120700001700140700001600157700001400173700001400187700001800201700002000219700001300239245015200252856009900404300001300503490000700516520216400523022001402687       2018                            d10aleprosy10aLeprosy case detection campaigns (LCDC)10aIndia1 aWagh AN1 aMugudalabetta S1 aGutierrez NO1 aPadebettu K1 aPandey AK1 aPandey BK1 aThulasingam M1 aSatyanarayana S1 aDongre A00aDoes appreciative inquiry decrease false positive diagnosis during leprosy case detection campaigns in Bihar, India? An operational research study.  uhttps://journals.plos.org/plosntds/article/file?id=10.1371/journal.pntd.0007004&type=printable  ae00070040 v123 a<p><strong>BACKGROUND: </strong>India contributes ~60% to the global leprosy burden. The country implements 14-day community-based leprosy case detection campaigns (LCDC) periodically in all high endemic states. Paramedical staff screen the population and medical officers of primary health centres (PHCs) diagnose and treat leprosy cases. Several new cases were detected during the two LCDCs held in September-2016 and February-2018. Following these LCDCs, a validation exercise was conducted in 8 Primary health centres (PHCs) of 4 districts in Bihar State by an independent expert group, to assess the correctness of case diagnosis. Just before the February 2018 LCDC campaign, we conducted an "appreciative inquiry" (AI) involving the health care staff of these 8 PHCs using the 4-D framework (Discovery-Dream-Design-Destiny).</p>

<p><strong>OBJECTIVES: </strong>To assess whether the incorrect case diagnosis (false positive diagnosis) reduced as a result of AI in the 8 PHCs between the two LCDC conducted in September-2016 and February-2018.</p>

<p><strong>METHODOLOGY/PRINCIPAL FINDINGS: </strong>A three-phase quantitative-qualitative-quantitative mixed methods research (embedded design) with the two validation exercises conducted following September-2016 and February-2018 LCDCs as quantitative phases and AI as qualitative phase. In September-2016 LCDC, 303 new leprosy cases were detected, of which 196 cases were validated and 58 (29.6%) were false positive diagnosis. In February-2018 LCDC, 118 new leprosy cases were detected of which 96 cases were validated and 22 cases (23.4%) were false positive diagnosis. After adjusting for the age, gender, type of cases and individual PHCs fixed effects, the proportion of false positive diagnosis reduced by -9% [95% confidence intervals (95%CI): -20.2% to 1.7%, p = 0.068].</p>

<p><strong>CONCLUSION: </strong>False positive diagnosis is a major issue during LCDCs. Though the decline in false positive diagnosis is not statistically significant, the findings are encouraging and indicates that appreciative inquiry can be used to address this deficiency in programme implementation.</p>
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