Tuberculosis treatment management in primary healthcare sectors: a mixed-methods study investigating delivery status and barriers from organisational and patient perspectives.

OBJECTIVE: Tuberculosis (TB) treatment management services (TTMSs) are crucial for improving patient treatment adherence. Under the TB integrated control model in China, healthcare workers (HCWs) in the primary healthcare (PHC) sectors are responsible for TTMS delivery. This mixed-method study aimed to explore the status of and barriers to TTMS delivery faced by HCWs in PHC sectors from the health organisational and patient perspectives. DESIGN: We completed a questionnaire survey of 261 TB healthcare workers (TB HCWs) and 459 patients with TB in the PHC sector and conducted 20 semistructured interviews with health organisational leaders, TB HCWs and patients with TB. SPSS V.22.0 and the framework approach were used for data analysis. SETTING: PHC sectors in Southwest China. RESULTS: Our results showed that TTMS delivery rate by HCWs in PHC sectors was <90% (88.4%) on average, and the delivery rates of intensive and continuation phase directly observed therapy (DOT) were only 54.7% and 53.0%, respectively. HCWs with high work satisfaction and junior titles were more likely to deliver first-time home visits and DOT services. Our results suggest that barriers to TTMS delivery at the organisational level include limited patient-centred approaches, inadequate resources and incentives, insufficient training, poor cross-sectional coordination, and strict performance assessment. At the patient level, barriers include low socioeconomic status, poor health literacy and TB-related social stigma. CONCLUSION: TTMSs in Southwest China still need further improvement, and this study highlighted specific barriers to TTMS delivery in the PHC sector. Comprehensive measures are urgently needed to address these barriers at the organisational and patient levels to promote TB control in Southwest China.

Effect of Electroacupuncture on Shoulder Subluxation in Poststroke Patients with Hemiplegic Shoulder Pain: A Sham-Controlled Study Using Multidimensional Musculoskeletal Ultrasound Assessment.

OBJECTIVE: This study aimed to use multidimensional musculoskeletal ultrasound imaging technique to investigate the effect of electroacupuncture (EA) on shoulder subluxation in poststroke patients with hemiplegic shoulder pain. METHODS: In this prospective single-blind, randomized, sham-controlled study, thirty-four patients with shoulder subluxation and hemiplegic shoulder pain were recruited and randomly assigned into the EA group or the sham EA (SEA) group. In the EA group, EA was applied to the Jian yu (LI15), Bi nao (LI14), Jian zhen (SI9), and Jian liao (TE14) acupoints. In the SEA group, the EA was applied 15 mm away from the Lou gu (SP7), Di ji (SP8), Jiao xin (KI8), and Zhu bin (KI9) acupoints. Both groups underwent treatment 30 minutes/day, five days a week, for two weeks using dense waves with a frequency of 2/100 Hz. A Visual Analogue Scale (VAS) was used to evaluate the effectiveness of treatment in reducing shoulder pain. Musculoskeletal ultrasound was used to evaluate the changes of measures of shoulder subluxation in multidimensions (i.e., the acromiohumeral distance, AHD; acromion-greater tuberosity, AGT; and acromion-lesser tuberosity, ALT). Both the within- and between-groups treatment effects were assessed. RESULTS: The pain intensity measured by VAS and shoulder subluxation measured by musculoskeletal ultrasound (i.e., AHD, AGT, and ALT) showed significant (p < 0.05) within-group difference in both groups. The between-group difference appeared in the pain intensity (p < 0.05), while it disappeared in the three measures of shoulder subluxation (p > 0.05). CONCLUSIONS: Using VAS for measuring pain intensity and multidimensional musculoskeletal ultrasound imaging technique for measuring shoulder subluxation, this study finds that the hemiplegic shoulder pain can be improved significantly by the EA while the shoulder subluxation cannot be. Our findings further reveal the analgesic mechanism of EA on hemiplegic shoulder pain following stroke.

A modifiable risk factors atlas of lung cancer: A Mendelian randomization study.

BACKGROUND: There has been no study systematically assessing the causal effects of putative modifiable risk factors on lung cancer. In this study, we aimed to construct a modifiable risk factors atlas of lung cancer by using the two-sample Mendelian randomization framework. METHODS: We included 46 modifiable risk factors identified in previous studies. Traits with p-value smaller than 0.05 were considered as suggestive risk factors. While the Bonferroni corrected p-value for significant risk factors was set to be 8.33 × 10-4 . RESULTS: In this two-sample Mendelian randomization analysis, we found that higher socioeconomic status was significantly correlated with lower risk of lung cancer, including years of schooling, college or university degree, and household income. While cigarettes smoked per day, time spent watching TV, polyunsaturated fatty acids, docosapentaenoic acid, eicosapentaenoic acid, and arachidonic acid in blood were significantly associated with higher risk of lung cancer. Suggestive risk factors for lung cancer were found to be serum vitamin A1, copper in blood, docosahexaenoic acid in blood, and body fat percentage. CONCLUSIONS: This study provided the first Mendelian randomization assessment of the causality between previously reported risk factors and lung cancer risk. Several modifiable targets, concerning socioeconomic status, lifestyle, dietary, and obesity, should be taken into consideration for the development of primary prevention strategies for lung cancer.

Cause-specific death assessment of patients with stage I small-cell lung cancer: a competing risk analysis.

Aim: Stage I small-cell lung cancer (SCLC) is a potentially curable disease that needs timely and multidisciplinary management. The aim of this study was to evaluate the probability of cause-specific mortality for patients with stage I SCLC. Material & methods: We identified patients in the SEER database and constructed a proportional subdistribution hazard model to evaluate cancer-specific mortality. A nomogram was built based on Fine and Gray competing risk regression model. Results: A total of 864 stage I SCLC patients were identified. The 5-year cumulative incidence of SCLC-specific mortality was 56.2%, while that for other causes of death was 17.3%. The c-index for the prognostic prediction model was 0.66. Besides, the nomogram was well calibrated. Conclusion: Our nomogram might serve as a reference for clinicians when evaluating the prognosis of stage I SCLC.