Pathways and cost-effectiveness of routine lung cancer inpatient care in rural Anhui, China: a retrospective cohort study protocol

Eliciting Older Cancer Patients' Preferences for Follow-Up Care to Inform a Primary Healthcare Follow-Up Model in China: A Discrete Choice Experiment

BACKGROUND AND OBJECTIVES

Increasing longevity and advances in treatment have increased the cancer burden in the elderly, resulting in complex follow-up care needs; however, in China, little is known about the follow-up care preferences of these patients. This study quantified older cancer patients' preferences for follow-up care and examined the trade-offs they are willing to make to accept an alternative follow-up model.

METHODS

A discrete choice experiment was conducted among inpatients aged over 60 years with breast, prostate, or colorectal cancer, at two large tertiary hospitals in Nantong, China. Preference weights for follow-up care were estimated using mixed logit analysis. Subgroup analysis and latent class analysis were used to explore preference heterogeneity.

RESULTS

Complete results were obtained from 422 patients (144 with breast cancer, 133 with prostate cancer, 145 with colorectal cancer), with a mean age of 70.81 years. Older cancer patients stated a preference for follow-up by specialists over primary healthcare (PHC) providers ( β = -1.18, 95% confidence interval -1.40 to -0.97). The provider of follow-up care services was the most valued attribute among patients with breast cancer (relative importance [RI] 37.17%), while remote contact services were prioritized by patients with prostate (RI 43.50%) and colorectal cancer (RI 33.01%). The uptake rate of an alternative care model integrating PHC increased compared with the baseline setting when patients were provided with preferred services (continuity of care, individualized care plans, and remote contact services).

CONCLUSION

To encourage older cancer patients to use PHC-integrated follow-up care, alternative follow-up care models need to be based on patients' preferences before introducing them as a routine option.

Lung cancer screening with low-dose computed tomography at a tertiary hospital in Anhui, China and secondary analysis of trial data

OBJECTIVE

Lung cancer screening with low-dose computed tomography (LDCT) partly reduces cancer-specific mortality. However, few data have described this specific population for screening in mainland China. Here, we conducted a population-based screening program in Anhui, China.

METHODS

9084 individuals were participating in the screening program for lung cancer in Anhui province from 1 June 2014 to 31 May 2017. LDCT was offered to all participants who joined the program.

RESULTS

Of 9084 individuals undergoing LDCT, we detected 54 lung cancers (0.594%). The age with the highest rate was 61-65 years (up to 1.016%), followed by 56-60 (0.784%). Most patients (98.1%, 53/54) were in stage I-II (early stage), and only one was in stage III (advanced stage). Adenocarcinoma, squamous cell carcinoma and small cell lung cancer accounted for 57.4% (31/54), 37% (20/54) and 5.6% (3/54) of the individuals, respectively. Notably, There were 4,102 never smokers in our study. The median age was 63 years. Males and females accounted for 53.4 and 46.6%, respectively. Among the 4102 never smokers, 96 participants had a positive family cancer history. Additionally, we detected 20 lung cancers (0.488%), slightly lower than the whole rate 0.594%. Finally, our data showed that age, smoking, family cancer history and features of nodules were risk factors for lung cancer.

CONCLUSION

Our study qualified the efficiency of LDCT to detect early-stage lung cancers in Anhui, China. Further establishment of appropriate lung cancer screening methods specifically for individuals in China is warranted.

ADVANCES IN KNOWLEDGE

We evaluated the performance of lung cancer screening for asymptomatic populations using LDCT in Anhui, an eastern inland province of China. Our study qualified the efficiency of LDCT to detect early-stage lung cancers in Anhui, China.