Rate of Patient Delay among Students with Pulmonary Tuberculosis in China: A Meta-Analysis

Objective: To systematically review the rate of patient delay of pulmonary tuberculosis (PTB) patients among students in China. Methods: Databases including Web of Science Core Collection, PubMed, The Cochrane Library, CBM, CNKI, VIP, and WANFANG DATA were electronically searched to collect cross-sectional studies on the incidence of delayed consultation in students with PTB in China from January 1, 2000, to November 15, 2022. Two researchers independently screened studies, extracted data, and assessed the risk of bias of the included studies. Meta-analysis was then performed by Stata 16.0 software. Results: In total, 60 cross-sectional studies with 260,707 cases involving 136,701 delayed consultation PTB patients were included. The results of meta-analysis showed that the rate of patient delay was 46.4% (95% CI 44.3% to 48.4%) among students with PTB in China. Results of subgroup analyses showed that: 1) The rates were 46.8% and 50.4% for male and female students, respectively. 2) The rates for the East, Central and West parts of China were 42.3%, 45.6% and 50.5%, respectively. 3) The rates were increased first and then decreased during 2007 to 2020. 4) The rates of students from primary school, junior high school, senior high school and university were 50.3%, 49.8%, 40.7% and 44.9%, respectively. 5) The rates for the Han and the other nationalities were 50.3% and 53.9%, respectively. 6) The rates for local and non-local students were 47.2% and 50.5%, respectively. 7) The rates of patients detected by consultation due to symptoms, recommendation due to symptoms, referral, tracking and healthy physical examination were 50.5%, 51.6%, 46.6%, 55.6% and 16.2%, respectively. 8) The rates of patients with initial PTB and retreatment PTB were 53.1% and 59.6%, respectively. 9) The rates of patients with positive etiology, negative etiology and without etiological results were 55.9%, 47.0% and 51.6%, respectively. 10) The rates of severe and non-severe patients were 59.4% and 52.9%, respectively. Conclusion: The patient delay rate for Chinese students with PTB is generally at a high level. There are substantial differences in the patient delay rate for students with PTB among different genders, regions, study stages, nationalities, household registration types, detection methods, and treatment classifications.

Patient Delay in Patients With ST-elevation Acute Myocardial Infarction

Objectives To examine patient delay (PD) in seeking treatment among patients with ST-elevation myocardial infarction (STEMI) and to identify factors influencing PD. Methods patients with STEMI were divided into two groups based on PD: Short PD group (PD ≤ 60 minutes after onset of symptoms) and long PD group ( > 60 minutes after symptom onset). A questionnaire developed to assess demographic characteristics, clinical factors and psychological factors. Patients were interviewed within 72 hours of admission to 2 hospitals. Results 329 consecutive confirmed STEMI patients (Mean age 61years; 72.5% men) with a median PD of 90 min and a pre-hospital delay time 170 min were studied, PD was less than 1 hours in 47.4% of patients, while more than 1 hours in 52.6%, In univariate analyses, patients with short PD were witness onset, progress course of symptom, severe pain, death anxiety, knowing AMI as a deadly disease and its presentation, taking the symptom seriously. Patients with longer PD were age ≥65 year, nocturnal onset, experienced their symptoms at home, gradual onset, ’waited to see whether symptoms disappeared’, ’worried about troubling others’, ’took pain medication’ and preinfarction angina. A stepwise multiple regression analysis further suggested that the following inde-pendent contributors to a late decision to seek medical help (relative risk, 95% confidence interval): taking pain medication (15.97; 1.70～149.8 ), wanting to wait and see (6.46; 1.92～21.74), not wanting to bother anybody (6.42; 2.87～14.34), preinfarct angina (2.73; 1.20～6.19), age ≥65 years (2.51; 1.15～5.48), gradual onset (2.40; 1.05～5.44), severe pain(0.38, 0.17～0.85), witness onset (0.27, 0.10～0.70), taking symptoms seriously (0.019; 0.08～0.46). Conclusions Age ≥65 years, gradual onset, witness onset, severe pain, preinfarct angina, emotional responses and coping strategies are the independent factors associated with patient delay or decision time in patients with AMI. Emotional responses and coping strategies are the major determinants of patient delay. Modification of these emotional factors might best be achieved by patients and public education.

Diagnostic delay in oral squamous cell carcinoma: the role of cognitive and psychological variables

This retrospective study investigated, in two cohorts of subjects living in Southern Italy and awaiting treatment for oral squamous cell carcinoma （OSCC）, the variables related to diagnostic delay ascribable to the patient, with particular reference to the cognitive and psychological ones. A total of 156 patients with OSCC （mean age： 62 years, M/F： 2.39 ： 1） were recruited at the Universities of Palermo and Naples. Risk factors related to patient delay included： sociodemographic, health-related, cognitive and psychological variables. The analysis was conducted by considering two different delay ranges： dichotomous （≤1 month vs. 〉 1 month） and polytomous （〈1 month, 1-3 months, 〉3 months） delay. Data were investigated by univariate and multivariate analyses and a Pvalue≤0.05 was considered statistically significant. For both delay measurements, the most relevant variables were： ＇Personal experience of cancer＇ （dichotomous delay： P=0.05, odds ratio （0R）=0.33, 95% confidence interval （CI）=0. 11-0.99; polytomous delay： P=0.006, Chi-square= 10.224） and ＇Unawareness＇ （dichotomous delay： P〈0.01, 0R=4.96, 95% CI--2.16-11.37; polytomous delay： P=0.087, Chi-square=4.77）. Also ＇Denial＇ （P〈0.01, 0R=6.84, 95% CI=2.31-20.24） and ＇Knowledge of cancer＇ （P=0.079, Chi-square=8.359） were found to be statistically significant both for dichotomous and for polytomous categorization of delay, respectively. The findings of this study indicated that, in the investigated cohorts, the knowledge about cancer issues is strongly linked to the patient delay. Educational interventions on the Mediterranean population are necessary in order to increase the patient awareness and to emphasize his/her key role in early diagnosis of OSCC.

Role of community-based active case finding in screening tuberculosis in Yunnan province of China

Background:The barriers to access diagnosis and receive treatment,in addition to insufficient case identification and reporting,lead to tuberculosis(TB)spreads in communities,especially among hard-to-reach populations.This study evaluated a community-based active case finding(ACF)strategy for the detection of tuberculosis cases among high-risk groups and general population in China between 2013 and 2015.Methods:This retrospective cohort study conducted an ACF in ten communities of Dongchuan County,located in northeast Yunnan Province between 2013 and 2015;and compared to 136 communities that had passive case finding(PCF).The algorithm for ACF was:1)screen for TB symptoms among community enrolled residents by home visits,2)those with positive symptoms along with defined high-risk groups underwent chest X-ray(CXR),followed by sputum microscopy confirmation.TB incidence proportion and the number needed to screen(NNS)to detect one case were calculated to evaluate the ACF strategy compared to PCF,chi-square test was applied to compare the incidence proportion of TB cases'demography and the characteristics for detected cases under different strategies.Thereafter,the incidence rate ratio(IRR)and multiple Fisher's exact test were applied to compare the incidence proportion between general population and high-risk groups.Patient and diagnostic delays for ACF and PCF were compared by Wilcoxon rank sum test.Results:A total of 97521 enrolled residents were visited with the ACF cumulatively,12.3%were defined as highrisk groups or had TB symptoms.Sixty-six new TB patients were detected by ACF.There was no significant difference between the cumulative TB incidence proportion for ACF(67.7/100000 population)and the prevalence for PCF(62.6/100000 population)during 2013 to 2015,though the incidence proportion in ACF communities decreased after three rounds active screening,concurrent with the remained stable prevalence in PCF communities.The cumulative NNS were 34,39 and 29 in HIV/AIDS infected individuals,people with positive TB symptoms and history of previous TB,respectively,compared to 1478 in the general population.The median patient delay under ACF was 1 day(Interquartile range,IQR:0-27)compared to PCF with 30 days(IQR:14-61).Conclusions:This study confirmed that massive ACF was not effective in general population in a moderate TB prevalence setting.The priority should be the definition and targeting of high-risk groups in the community before the screening process is launched.The shorter time interval of ACF between TB symptoms onset and linkage to healthcare service may decrease the risk of TB community transmission.Furthermore,integrated ACF strategy in the National Project of Basic Public Health Service may have long term public health impact.