Diagnostic Errors in Tuberculous Patients: A Multicenter Study from a Developing Country

The Burden of Bacteriologically Negative TB Diagnosis: A Four-Year Review of Tuberculosis Cases at a Tertiary Facility

Aim

We aimed to investigate the demographic and clinical factors associated with TB mortality in patients managed at a tertiary TB referral center.

Methods

We conducted a retrospective review of the medical records of 1,933 TB patients seen between January 2017 and December 2020 at the Korle-Bu Teaching Hospital (KBTH) Chest Department in Accra, Ghana. TB mortality was defined as any TB patient who died for any reason during the course of treatment. Multivariable logistic regression was used to estimate adjusted odds ratios with 95% confidence intervals for factors associated with TB mortality.

Results

A total of 1,933 patients with TB were registered at the chest clinic over the study period. Males accounted for 1,227 (63.5%), and majority of participants were between 24 and 64 years old. Pulmonary TB (PTB) and extrapulmonary TB (EPTB) cases accounted for 51% and 48.4% of the total TB cases, respectively. A significant proportion (69%) of the patients managed for TB had no bacteriological confirmation of the disease. About 34% of tested TB patients were HIV positive. Mortality among patients was 33.6%. In a multivariable regression model, patients with HIV positive status had over 3-fold increased risk of mortality, compared to those with HIV negative status. TB patients diagnosed empirically had an increased risk of death compared to those with a confirmed diagnosis.

Conclusion

The proportion of clinically diagnosed TB was high among the patients seen at the chest clinic. Mortality was high among the patients with HIV/TB coinfection as well as in patients with empirical TB diagnosis.

Missed Tuberculosis Investigations and Associated Factors in Patients with Symptoms Indicative of Tuberculosis at Public Health Institutions in Northwest Ethiopia: The Application of a Negative Binomial Model

Background

Tuberculosis (TB) remains one of the top health problems in Ethiopia, and over one-third of estimated TB cases remain undetected. This study examined the magnitude and factors of missed opportunities for TB investigation at public health facilities in Northwest Ethiopia.

Methods

A facility-based cross-sectional study was conducted among 412 adult patients with TB symptoms from 34 randomly selected public health facilities. Data on socio-demographics, TB symptoms, and clinical status were collected by an exit interview. A patient was considered missed for TB investigation if he/she had at least one symptom suggestive of TB but did not receive a sputum smear and/or x-ray evaluation to rule out TB. We computed descriptive and analytical statistics using SPSS version 26. A negative binomial regression analysis was used to identify factors associated with missed opportunities for TB investigation. Statistical significance was determined at a p-value less than 0.05.

Results

A total of 412 presumptive TB patients, 235 (57%) females and 247 (60%) rural dwellers were interviewed. The mean age of respondents was 35 ± 8 years and 228 (55.3%) were from health centers. Over two-thirds, 284 (69%) were new patients, 62 (15%) were HIV positive and 78 (19%) had diabetes mellitus (DM). Fifty patients with symptoms suggestive of TB did not receive sputum evaluation services. Inability to read and write, having DM, having normal body mass index and facility type they visited were significant factors to missing opportunities to get TB investigations.

Conclusion

A significant number of patients with symptoms suggestive of TB were missed for sputum evaluation to rule out TB. Education level, comorbidity, nutritional status and type of facility patients attended were factors of missing opportunities for TB investigation. Thus, improving quality of TB diagnosis, screening TB among all types of patients, and paying attention to screen illiterate people are crucial to avoid missing potential TB cases.

Errors in Diagnosing Infectious Diseases: A Physician Survey

Background: Infectious diseases are commonly missed or misdiagnosed. Errors in diagnosing infectious diseases not only affect the patient but also the community health. Objectives: To describe our investigation on the most common errors in diagnosing infectious diseases and their causes according to the physicians' reports. Methods: Between August 2018 and February 2019, specialist physicians and residents across Mashhad, Iran were invited to participate in a survey to report errors they had made or witnessed regarding the diagnosis of infectious diseases. Results: Overall, 465 cases were reported by 315 participants. The most common infectious diseases affected by diagnostic errors were upper respiratory tract infections (URTIs) (n = 69, 14.8%), tuberculosis (TB) (n = 66, 14.1%), pleuro-pulmonary infections (n = 54, 11.6%), central nervous system (CNS) infections (n = 51, 10.9%), and urinary tract infections (n = 45, 9.6%). Errors occurred most frequently in generating a diagnostic hypothesis (n = 259, 55/7%), followed by history taking (n = 200, 43%), and physical examination (n = 191, 41/1%). Errors related to the diagnosis of TB (odds ratio [OR]: 2.4, 95% confidence interval [CI]:0.9-5.7; P value: 0.047) and intra-abdominal infections (OR: 7.2, 95% CI: 0.9-53.8; P value: 0.02) were associated with more-serious outcomes. Conclusion: A substantial proportion of errors in diagnosing infectious diseases moderately or seriously affect patients' outcomes. URTIs, TB, and pleuropulmonary infections were the most frequently reported infectious diseases involved in diagnostic error while errors related to the diagnosis of TB and intraabdominal infections were more frequently associated with poor outcomes. Therefore, contagious and potentially life-threatening infectious diseases should always be considered in the differential diagnosis of patients who present with compatible clinical syndromes.

A systematic and meta-analysis study on the prevalence of tuberculosis and relative risk factors for prisoners in Iran

INTRODUCTION

This study aimed to evaluate the incidence of Tuberculosis (TB) among prisoners in Iran, by performing a systematic and meta-analysis study on the related articles.

METHODOLOGY

Scopus, Iran doc, Cochrane, Pubmed, Medline, Embase and Iran Medex, Magiran, SID, Google Scholar, and EBSCO were searched. After quality assessment of the articles, a fixed or random model, as appropriate, was used to pool the results in a meta-analysis. Heterogeneity between the studies was assessed using I-square and Q-test.

RESULTS

The overall sample size of included studies was 19562 that 64 of them were with TB. The highest prevalence of tuberculosis was related to the study of Rasht, 517 in 100,000 but the lowest rate was related to the study of Sought Khorasan, 25 in 100,000. The ES of the random effect model is 0.003 (95% CI, 0.001-0.005) and p-value <0.0001. The Higgins' I2 of all studies is 86.55%, and the p-value of the Cochrane Q statistics is <0.001, indicating that there is heterogeneity. Based on the Egger regression plot (t=2.18, p = 0.08, CI 95%: -0.001, 0.005) no publication bias existed.

CONCLUSION

The frequency of TB among the prisoners in Iran was low. Due to important limitations in this study, it is not possible to indicate the exact prevalence of TB among prisoners in Iran and compare this with the general population. More studies are needed to assess the related risk factor for designing health interventions plan to decrease the incidence rate of TB among prisoners.

Implicit racial bias among medical graduates and students by an IAT measure: a systematic review and meta-analysis

INTRODUCTION

Racial implicit bias is an unconscious response and behavior that affects interpersonal interactions and clinical decision-making.

AIMS

We attempted to meta-analyze the scores of implicit association test (IAT) to estimate pooled quantity of implicit racial bias among medical graduates and students METHODS: As far as we know, our study is the first systematic-based meta-analysis estimating the pooled score of implicit racial bias among physicians and medical students. Keywords were searched in Scopus, Web of Science, Google Scholar, PubMed, Science Direct, Cochrane, MEDLINE, Wiley online library, and ProQuest databases from 2011 since 2021. The IAT's pooled score estimates through a fixed-effect meta-analysis using STATA 15. Also, I² statistic was used to determine heterogeneity across the articles.

RESULTS

Out of 1177 articles, 29 studies entered to analysis. The pooled score of IAT among physicians and medical students was 0.28 (95% CI 0.13 to 0.43) and 0.35 (95% CI 0.03 to 0.67), respectively. The racial bias score of physician ranged from -0.12 to 0.62. While score of implicit association test for medical student ranged from -0.01 to 1.29.

CONCLUSION

Our meta-analysis revealed that there was an implicit anti-black attitude among physicians and medical students, but the size of this implicit racial bias was small. Although the level of racial bias in physicians and medical students was low, it could be reduced to the lowest level through informative programs and training in ways to control implicit attitudes.

Comparison of Diagnostic Recommendations from Individual Physicians versus the Collective Intelligence of Multiple Physicians in Ambulatory Cases Referred for Specialist Consultation

BACKGROUND

Studies report higher diagnostic accuracy using the collective intelligence (CI) of multiple clinicians compared with individual clinicians. However, the diagnostic process is iterative, and unexplored is the value of CI in improving clinical recommendations leading to a final diagnosis.

METHODS

To compare the appropriateness of diagnostic recommendations advised by individual physicians versus the CI of physicians, we entered actual consultation requests sent by primary care physicians to specialists onto a web-based CI platform capable of collecting diagnostic recommendations (next steps for care) from multiple physicians. We solicited responses to 35 cases (12 endocrinology, 13 gynecology, 10 neurology) from ≥3 physicians of any specialty through the CI platform, which aggregated responses into a CI output. The primary outcome was the appropriateness of individual physician recommendations versus the CI output recommendations, using recommendations agreed upon by 2 specialists in the same specialty as a gold standard. The secondary outcome was the recommendations' potential for harm.

RESULTS

A total of 177 physicians responded. Cases had a median of 7 respondents (interquartile range: 5-10). Diagnostic recommendations in the CI output achieved higher levels of appropriateness (69%) than recommendations from individual physicians (45%; χ² = 5.95, P = 0.015). Of the CI recommendations, 54% were potentially harmful, as compared with 41% of individuals' recommendations (χ² = 2.49, P = 0.11).

LIMITATIONS

Cases were from a single institution. CI was solicited using a single algorithm/platform.

CONCLUSIONS

When seeking specialist guidance, diagnostic recommendations from the CI of multiple physicians are more appropriate than recommendations from most individual physicians, measured against specialist recommendations. Although CI provides useful recommendations, some have potential for harm. Future research should explore how to use CI to improve diagnosis while limiting harm from inappropriate tests/therapies.

Oral anti-tuberculosis drugs: An urgent medication reconciliation at hospitals in Indonesia

Background: Four oral anti-tuberculosis drugs are conceived to be the most effective ones to eradicate Mycobacterium tuberculosis bacteria and to obviate the resistant organisms. However, the patients’ adherence and medication discrepancies are obstacles to achieving the goal. This study aimed to define the anti-tuberculosis drugs used in the hospitals and to detect the discrepancies in the continuity of the tuberculosis treatment.

Design and Methods: This retrospective cross-sectional study was based on medical records of adult patients, and was conducted in two district tertiary care hospitals. Only 35 out of 136 patient records from Hospital A and 33 out of 85 records from Hospital B met the inclusion criteria.

Results: The most common systemic anti-infective drugs in the study were ceftriaxone (51.80 DDD/100 patient-days) used in Hospital A and isoniazid (59.53 DDD/100 patient-days) used in Hospital B. The number of rifampicin prescriptions was less than that of isoniazid. Each patient received an average of two DDD/100 patient-days, which is an under dosage for an effective treatment.

Conclusion: This study showed a medication discrepancy of tuberculosis therapy. Tuberculosis patients’ medical histories are not under the full attention of treating physicians wherever they are admitted. Thus, medication reconciliation is needed to accomplish the goal of a Tuberculosis-free world in 2050.