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1.
Arch Public Health ; 81(1): 72, 2023 Apr 27.
Artigo em Inglês | MEDLINE | ID: mdl-37106423

RESUMO

BACKGROUND: Melghat in India is a hilly, forested, difficult to access, impoverished rural area in northeast part of Maharashtra (Central India) with difficult healthcare access. Melghat has very high Mortality rates, because of grossly inadequate medical facilities. (1) Home deaths contribute to 67% of deaths,(2) which are difficult to track and where cause of death is mostly unknown. METHODS: A feasibility study was carried out in 93 rural villages and 5 hospitals to assess feasibility of tracking real-time community mortality and to ascertain cause of death in 0-60 months and 16-60 years age group using Minimal Invasive Tissue Sampling (MITS) in purpose-modified ambulance. We used the network of village health workers (VHW)s, to establish real-time community mortality tracking. Upon receipt of reports of home death, we performed MITS within 4 h of death in the vicinity of the village. RESULTS: We conducted 16 MITS. Nine, in MITS ambulance in community and seven at MAHAN hospital. The acceptance rate of MITS was 59.26%. Standard operating procedure (SOP) of conducting community MITS in an ambulance, is established. Major challenges were, Covid19 lockdown, reluctance of tribal parents for consent for MITS due to illiteracy, superstitions and fear of organ removal. Ambulance was an easy to reach transport means in remote area, provided a well-designed and discrete facility to perform MITS in community, winning the confidence of bereaved family. This has reduced time interval between time of death and performing MITS. CONCLUSIONS: MITS in purpose-modified Ambulance can be used worldwide for community MITS especially in areas which are remote and lack healthcare access. This solution needs to be assessed in different cultural settings to document culture specific issues.

2.
J Endourol ; 35(8): 1184-1189, 2021 08.
Artigo em Inglês | MEDLINE | ID: mdl-33446044

RESUMO

Background: White light imaging (WLI) cystoscopy, a "gold standard" for diagnosis of nonmuscle invasive bladder cancer (NMIBC), can miss ∼25% of bladder cancers. Spectra A (SA) and Spectra B (SB) are virtual optical chromoendoscopy modes introduced by Storz. Objective: To evaluate whether SA and SB improve over WLI in diagnosis of NMIBC. Design, Setting, and Participants: Storz Professional Image Enhancement System (SPIES) modes allow side-by-side viewing of WLI and spectra images. Cystoscopy images of some patients with suspected NMIBC and some normal cystoscopy findings were cut in two parts: one WLI and the other SA or SB. Each individual image was sent to the 3721 members of Urological Society of India separately through online survey. Histologic diagnosis was considered final diagnosis. Intervention: The observers were asked whether they considered the image to be cancer; yes, no, or cannot say were the three response options. Outcome Measures and Statistical Analysis: Primary outcome measure was improved diagnosis of NMIBC. Diagnostic efficacy was analyzed through 2 × 2 tables, McNemar test, and Fleiss Kappa. Results and Limitations: A total of 273 observers participated in the study. The sensitivities of WLI, SA, and SB were 89.81, 91.15, and 88.81, respectively. The specificities were 73.18, 66.17, and 68.68, respectively. In patients with cancer, both SA and SB improved the diagnostic efficacy of WLI. SA added significantly to the diagnostic accuracy over WLI (χ2 = 12.23, p = 0.00046). SB also added significantly over WLI (χ2 = 11.76, p = 0.0006). With increasing cancer grade, the sensitivity and negative predictive value of all modes increased. The major limitation of this study is the online diagnosis based on still images. Conclusions: In patients with cancer, SA and SB significantly add to the diagnostic accuracy of WLI. As compared with the negative WLI, if SA and SB are negative, NMIBC would be less likely.


Assuntos
Cistoscopia , Neoplasias da Bexiga Urinária , Humanos , Imagem de Banda Estreita , Estudos Prospectivos , Neoplasias da Bexiga Urinária/diagnóstico por imagem
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