Abstract
Objectives
This study was aimed to assess the willingness of elderly people to seek medical care for tuberculosis (TB) and the associated influencing factors.
Design
A cross-sectional study.
Setting
A multistage random survey was conducted in Bao’an District of Shenzhen in China.
Participants
A total of 1200 elderly people aged 65 or above were recruited for the study and completed a structured questionnaire between September and October 2019.
Main outcome measures
Descriptive and binary logistic stepwise regression analyses were conducted to analyse the characteristics of elderly individuals, their willingness to seek medical care for TB and associated factors.
Results
Among the final 1123 respondents, 943 (84.0%) were willing to seek medical care if they discovered suspicious TB symptoms. Binary logistic stepwise regression analysis indicated that respondents whose family annual income per capita was 50 000–100 000¥ (OR=2.56, 95% CI: 1.44 to 4.54, p<0.01) and who had positive attitudes (≥3 scores: OR=3.10, 95% CI: 1.90 to 5.05, p<0.01) or practices (≥4 scores: OR=3.13, 95% CI: 1.82 to 5.39, p<0.01) towards TB were more willing to seek medical care for TB.
Conclusions
Willingness to seek medical care for TB in the elderly population can be improved according to the determinants.
Keywords: tuberculosis, public health, infection control
Strengths and limitations of this study.
This is the first study to investigate willingness to seek medical care for tuberculosis (TB) among elderly individuals in China.
The logistic regression model provides quantified results of the influencing factors of willingness to seek medical care for TB among elderly individuals, which could provide a reference for TB control policies.
There may be more potential influencing factors of willingness to seek medical care for TB than those we investigated in the study.
The cross-sectional study design is limited in terms of identifying the causality of the observed relationships.
Introduction
Tuberculosis (TB) is a major cause of ill health, one of the top 10 causes of death worldwide, and the leading cause of death from a single infectious agent. In 2019, an estimated 10 million people worldwide fell ill with TB, and 1.4 million died.1 The risk of TB increases with age, and the pace of population ageing is increasing in modern China. WHO has estimated that there will be 402 million people aged 60 or above in China by 2040.2 The Fifth National TB Epidemiological Survey revealed that 48.8% of TB patients were over 60 years old, while the prevalence of active TB in the elderly population over 65 years old was determined to be 1270/100 000.3 According to the Chinese Centre for Disease Control and Prevention, a total of 775 764 cases of TB were reported in the National Notifiable Disease Reporting System in 2019.4 The reporting rate of TB cases increased with age, with 197 730 (25.5%) cases among people aged 65 or older.4 Elderly people are one of the bottlenecks in TB control in China, and more TB preventive measures are urgently needed to reach the most vulnerable populations.
Currently, the ‘trinity’ model of TB prevention and treatment in China comprises the Centre for Disease Control and Prevention, designated TB diagnostic and treatment hospitals and primary healthcare institutions.5 This model plays an important role in TB control and has made some progress. However, the rate of delay in TB diagnosis and treatment has remained high among the elderly,6–8 which is a major contributor to poor outcomes and TB transmission. The willingness to seek medical care of elderly people with possible symptoms could predict the actual behaviour of seeking care in TB prevention and treatment institutions. In addition, positive behaviour related to TB could both improve the detection rate for the disease and also reduce the proportion of delayed diagnosis and treatment.9 Therefore, this study aimed to examine willingness to seek medical care for TB and its determinants among elderly people aged 65 or older. The findings may provide references for TB prevention and control among the elderly.
Methods
Study setting
Shenzhen, a highly developed region in China, had an estimated population of more than 13.4 million in 2019.10 The percentage of the migrant population was 63.2% in Shenzhen compared with 80.5% in Bao’an District.10 The immigrants were mostly poor, had a low level of education and lived in circumstances conducive to TB transmission.11 12 Although the incidence of TB has declined in Shenzhen, the prevalence of TB has remained high in Bao’an District due to a high TB case load caused by a heavy concentration of migrants.
The Chinese government launched the directly observed treatment+short (DOTS) course chemotherapy strategy to control the TB epidemic in 1990 and has followed this protocol since then.13 Shenzhen was one of the first cities in China to implement the DOTS strategy in 1993, and its coverage at the individual level reached 100% in 2000.14 Economy and social progress developed rapidly in Shenzhen, which was the first established special economic zone in China. The region has a robust healthcare infrastructure, providers, service culture and conditions for timely diagnosis and treatment.9 12 The Centre for Chronic Disease Control, the local institution designated for TB management, provides TB diagnosis, treatment and management. Patients have free access to anti-TB fix-dose combination products and must undergo standard anti-TB treatment.15 After patients start to take anti-TB drugs, they are required to visit the Centre for Chronic Disease Control every month for health checks until the treatment ends.11 In addition to free TB drugs, the government provides subsidies for transportation and nutrition for low-income TB patients.16 However, all patients must pay for monthly prescriptions for subsidiary drugs such as liver protection drugs, and auxiliary examinations, such as X-ray tests.11 17
Study population and sampling
This study was conducted between September and October 2019 in Bao’an District of Shenzhen. With a confidence interval (CI) of 95%, an estimated proportion of 92.2%18 and an absolute error of 5%, the sample size was rounded to 113 according to the formula, n = [Z2p(1−p)]/d2. To compensate for non-responses, the sample size was increased by 10% to 124.
A multistage random sampling method was performed in the study. First, two of eight community health service centres with chest X-ray film screening capabilities in Bao’an District were selected randomly. Second, 600 people aged 65 or above who received health examinations were randomly selected from every community health service centre. Elderly people in the study communities were included in the survey if they: (1) were aged 65 or older, (2) had resided in the area for at least half a year, (3) had no communication disorders or mental illnesses and (4) were willing to complete the survey. Respondents were excluded if they did not meet any of the above requirements.
Patient and public involvement
No patients were involved in this study.
Study design and instrument
A cross-sectional study was used to collect data from the elderly population through face-to-face interviews with a structured questionnaire. Based on the actual conditions of elderly people in Shenzhen and the context of healthcare in China, we designed a questionnaire according to previous literature.18–21 The questionnaire contained four sections: (1) demographic characteristics, such as gender, age, residence, duration of residence in Shenzhen, education level, marital status, medical insurance and family annual income per capita; (2) health-related characteristics, including self-perceived health status, smoking and alcohol consumption habits and previous history of TB; (3) knowledge, attitudes and practices (KAP) for TB prevention and control;22 and (4) willingness to seek medical care for TB and specific reasons for being unwilling to seek medical care for TB (online supplemental appendix). In the TB KAP section, incorrect, inappropriate or uncertain (do not know) responses received a 0 score, while 1 point was assigned if the respondent chose the correct or appropriate answer; correctness or appropriateness was based on current literature and best practices. The respondents who answered 60% of the KAP questions correctly or appropriately were considered aware of TB or to have positive attitudes or practices regarding TB.
bmjopen-2021-051291supp001.pdf (48.9KB, pdf)
Data collection and quality control
The questionnaire was designed based on literature review, group discussions and mock interviews. A pilot study of 40 elderly people was conducted at one of the community health service centres in the Bao’an District of Shenzhen to improve the quality of the questionnaire. A total of 38 of those respondents were able to clearly understand all the questions of the questionnaire, and further modifications were made according to their feedback. The questionnaire had good validity among elderly people. The data were collected by trained investigators through a field questionnaire survey. A logic check of all data was undertaken to determine whether there were any contradictions. Logical errors were identified as certain mismatched sociodemographic characteristics; for example, an individual aged 70 years old reported a duration of residence in Shenzhen of more than 70 years.
Statistical analysis
All statistical procedures were performed using SPSS V.22.0 software. The descriptive statistics are presented as the number of observations in percentages (%). χ2 tests were conducted to compare the willingness of the elderly to seek medical care for TB between groups. A binary stepwise logistic regression model was used to analyse the factors associated with willingness to seek medical care for TB among the elderly (levels for selection and elimination p=0.05 and p=0.10, respectively), including a neutral attitude or unwillingness as the reference category. In the binary model, independent variables were age (65–70, 71–75, >75), gender (male, female), residence (local residents, others), education (primary school or below, junior or senior middle school, college degree or above), marital status (married, unmarried/widowed/divorced), medical insurance (yes, no), family annual income per capita (<50 000¥, 50 000–100 000¥, 100 000–200 000¥, >200 000¥), self-perceived health status (good, fair, bad), smoking status (current smoker, former smoker, never smoked), alcohol intake (current drinker, former drinker, never drank), TB knowledge scores (<3, ≥3), TB attitudes (<3, ≥3) and TB practices (<4, ≥4). The odds ratio (OR) and 95% CI for each variable were calculated. All tests were two-sided with a significance level of 0.05.
Results
Initially, 1200 elderly people were recruited for the survey, of whom 11 (0.92%) refused to participate. Based on the inclusion and exclusion criteria, 1172 participants were ultimately included in the analyses. Because a previous history of TB might have influenced willingness to seek medical care for TB, we further excluded 35 participants who had previously been treated for TB. Then, we deleted eight questionnaires due to missing data on willingness to seek medical care for TB. Additionally, we discarded six questionnaires with logical errors. Finally, 1123 eligible questionnaires remained for analysis.
The characteristics of the participants are reported in table 1. Among 1123 participants (response rate, 94.45%), 505 (45.3%) were males and 584 (52.5%) were aged 65–70 years. More than half (55.4%) had an educational level of primary school or below. The majority (78.8%) held non-Shenzhen household registrations, and 947 (89.0%) were married. Most (73.3%) of the participants had medical insurance. Of the respondents, 398 (37.8%) had a family annual income per capita lower than 50 000¥. Less than half (48.1%) reported having a good self-perceived health status. Only 119 (10.7%) and 106 (9.5%) were current cigarette smokers and alcohol drinkers, respectively. The knowledge awareness rate for TB among them was 69.1%. The percentages of respondents who had positive attitudes or practices were 48.0% and 42.2%, respectively.
Table 1.
Variables | N | % |
Total | 1123 | 100 |
Age, years | ||
65–70 | 584 | 52.5 |
71–75 | 312 | 28.0 |
>75 | 217 | 19.5 |
Gender | ||
Male | 505 | 45.3 |
Female | 611 | 54.7 |
Residence | ||
Local residents | 232 | 21.2 |
Others | 862 | 78.8 |
Education level | ||
Primary school or below | 605 | 55.4 |
Junior or senior middle school | 423 | 38.7 |
College degree or above | 64 | 5.9 |
Marital status | ||
Married | 947 | 89.0 |
Unmarried/widow/divorced | 117 | 11.0 |
Medical insurance | ||
Yes | 779 | 73.3 |
No | 284 | 26.7 |
Family annual income per capita (¥) | ||
<50 000 | 398 | 37.8 |
50 000–100 000 | 342 | 32.4 |
100 000–200 000 | 221 | 21.0 |
>200 000 | 93 | 8.8 |
Self-perceived health status | ||
Good | 505 | 48.1 |
Fair | 476 | 45.3 |
Bad | 69 | 6.6 |
Smoking status | ||
Current smoker | 119 | 10.7 |
Former smoker | 92 | 8.3 |
Never smoker | 902 | 81.0 |
Alcohol intake | ||
Current drinker | 106 | 9.5 |
Former drinker | 82 | 7.3 |
Never drinker | 931 | 83.2 |
TB knowledge scores | ||
<3 | 333 | 30.9 |
≥3 | 746 | 69.1 |
TB attitudes scores | ||
<3 | 546 | 52.0 |
≥3 | 505 | 48.0 |
TB practice scores | ||
<4 | 555 | 57.8 |
≥4 | 406 | 42.2 |
*Missing number of participants: age: 10; gender: 7; residence: 29; education level: 31; marital status: 59; medical insurance: 60; family annual income per capita: 69; self-perceived health status: 73; smoking status: 10; alcohol consumption habits: 4; TB knowledge scores: 44; TB attitudes scores: 72; TB practice scores: 162.
TB, tuberculosis.
A total of 943 (84.0%) respondents would choose to seek medical care if they exhibited possible TB symptoms, whereas 155 (13.8%) were unwilling to seek treatment. Additionally, when we investigated the reasons for unwillingness to seek medical care for TB, 82 (52.9%) reported ‘long treatment cycle and heavy financial burden’ as the main reason (table 2).
Table 2.
Items | N | % |
Lack of trust in the medical level of TB prevention and treatment institutions | 40 | 25.8 |
Poor attitude of medical staff | 8 | 5.2 |
Long treatment time and heavy economic burden | 82 | 52.9 |
Fear of discrimination | 46 | 29.7 |
Others | 55 | 35.5 |
TB, tuberculosis.
Table 3 demonstrates the results of a comparison of willingness to seek medical care for TB among various groups. There were significant differences in willingness to seek medical care for TB across scores for TB KAP (p<0.05). There were no significant differences in willingness to seek medical care for TB across genders, ages, residences, education levels, marital statuses, medical insurance statuses, family annual income per capita levels, self-perceived health statuses, tobacco use, or alcohol consumption (p>0.05).
Table 3.
Variables | Willing | Neutral | Unwilling | χ 2 | P value |
Total | 943 (84.0) | 25 (2.2) | 155 (13.8) | ||
Age, years | |||||
65–70 | 490 (52.4) | 12 (48.0) | 82 (53.9) | 1.74 | 0.78 |
71–75 | 262 (28.0) | 6 (24.0) | 44 (28.9) | ||
>75 | 184 (19.7) | 7 (28.0) | 26 (17.1) | ||
Gender | |||||
Male | 430 (45.9) | 12 (48.0) | 63 (40.6) | 1.58 | 0.45 |
Female | 506 (54.1) | 13 (52.0) | 92 (59.4) | ||
Residence | |||||
Local residents | 185 (20.2) | 9 (36.0) | 38 (24.8) | 5.04 | 0.08 |
Others | 731 (79.8) | 16 (64.0) | 115 (75.2) | ||
Education level | |||||
Primary school or below | 503 (54.9) | 13 (54.2) | 89 (58.9) | 3.23 | 0.52 |
Junior or senior middle school | 363 (39.6) | 10 (41.7) | 50 (33.1) | ||
College degree or above | 51 (5.6) | 1 (4.2) | 12 (7.9) | ||
Marital status | |||||
Married | 795 (89.1) | 22 (91.7) | 130 (87.8) | 0.39 | 0.82 |
Unmarried/widow/divorced | 97 (10.9) | 2 (8.3) | 18 (12.2) | ||
Medical insurance | |||||
Yes | 657 (73.7) | 19 (79.2) | 103 (69.6) | 1.55 | 0.46 |
No | 234 (26.3) | 5 (20.8) | 45 (30.4) | ||
Family annual income per capita (¥) | |||||
<50 000 | 337 (38.0) | 9 (39.1) | 52 (36.1) | 9.39 | 0.15 |
50 000–100 000 | 300 (33.8) | 5 (21.7) | 37 (25.7) | ||
100 000–200 000 | 173 (19.5) | 7 (30.4) | 41 (28.5) | ||
>200 000 | 77 (8.7) | 2 (8.7) | 14 (9.7) | ||
Self-perceived health status | |||||
Good | 420 (47.8) | 11 (50.0) | 74 (49.7) | 1.16 | 0.89 |
Fair | 403 (45.8) | 10 (45.5) | 63 (42.3) | ||
Bad | 56 (6.4) | 1 (4.5) | 12 (8.1) | ||
Smoking status | |||||
Current smoker | 105 (11.3) | 3 (12.0) | 11 (7.1) | 4.73 | 0.32 |
Former smoker | 78 (8.4) | 0 (0.0) | 14 (9.0) | ||
Never smoker | 750 (80.4) | 22 (88.0) | 130 (83.9) | ||
Alcohol intake | |||||
Current drinker | 91 (9.7) | 4 (16.0) | 11 (7.1) | 2.39 | 0.67 |
Former drinker | 68 (7.2) | 2 (8.0) | 12 (7.7) | ||
Never drinker | 780 (83.1) | 19 (76.0) | 132 (85.2) | ||
TB knowledge scores | |||||
<3 | 249 (27.5) | 12 (50.0) | 72 (48.3) | 30.25 | <0.01 |
≥3 | 657 (72.5) | 12 (50.0) | 77 (51.7) | ||
TB attitudes scores | |||||
<3 | 417 (47.3) | 15 (65.2) | 114 (77.6) | 47.74 | <0.01 |
≥3 | 464 (52.7) | 8 (34.8) | 33 (22.4) | ||
TB practice scores | |||||
<4 | 433 (53.6) | 18 (85.7) | 104 (78.8) | 36.41 | <0.01 |
≥4 | 375 (46.4) | 3 (14.3) | 28 (21.2) |
*Missing number of participants: age: 10; gender: 7; residence: 29; education level: 31; marital status: 59; medical insurance: 60; family annual income per capita: 69; self-perceived health status: 73; smoking status: 10; alcohol consumption habits: 4; TB knowledge scores: 44; TB attitudes scores: 72; TB practice scores: 162.
TB, tuberculosis.
Table 4 shows the results of the binary logistic regression analysis to determine factors associated with willingness to seek medical care for TB among the elderly. Family annual income per capita (50 000–100 000¥: OR=2.56, 95% CI: 1.44 to 4.54), attitudes towards TB (≥3: OR=3.10, 95% CI: 1.90 to 5.05) and practices towards TB (≥4: OR=3.13, 95% CI: 1.82 to 5.39) were significant predictors of the respondents’ willingness to seek medical care for TB.
Table 4.
Variables | Β | SE | Wald χ2 | P value | OR (95% CI) |
Family annual income per capita (¥) (ref:<50 000) | |||||
50 000–100 000 | 0.94 | 0.29 | 10.37 | <0.01 | 2.56 (1.44 to 4.54) |
100 000–200 000 | −0.10 | 0.26 | 0.15 | 0.69 | 0.90 (0.54 to 1.51) |
>200 000 | 0.29 | 0.39 | 0.57 | 0.45 | 1.34 (0.63 to 2.86) |
TB attitudes scores (ref: <3) | |||||
≥3 | 1.13 | 0.25 | 20.51 | <0.01 | 3.10 (1.90 to 5.05) |
TB practice scores (ref: <4) | |||||
≥4 | 1.14 | 0.28 | 16.93 | <0.01 | 3.13 (1.82 to 5.39) |
*Adjustment for age (65–70, 71–75, >75), gender (male, female), residence (local residents, others), education (primary school or below, junior or senior middle school, college degree or above), marital status (married, unmarried/widow/divorced), medical insurance (yes, no), self-perceived health status (good, fair, bad), smoking status (current smoker, former smoker, never smoker), alcohol intake (current drinker, former drinker, never drinker), TB knowledge scores (<3, ≥3) and other variables in the model.
OR, odds ratio; SE, standard error; TB, tuberculosis.
Discussion
This was the first study to investigate the willingness of elderly individuals to seek medical care for TB in China. We found that 84.0% of the participants were willing to seek medical care for TB, while 13.8% were unwilling to seek medical care for TB. Individuals with possible TB symptoms who do not seek medical care will miss the opportunity for early detection of TB, leading to delayed treatment and poor prognoses.23–25 In addition, unwillingness to seek medical care may increase the potential risk of transmission and will have a negative impact on their families and society.26
Our findings showed that the main reason for being unwilling to seek medical care for TB was ‘long treatment cycle and heavy economic burden’. This indicated that individuals’ economic situation impacts their willingness to seek treatment. In China, the policy that TB diagnosis and anti-TB drugs are free is not well understood, and some even doubt its authenticity.27 28 In addition, the free items provided by the government accounted for less than 40% of the total cost of TB diagnosis and treatment, meaning that TB patients still must pay more than half of the total cost.29 This may explain the effects of economic situation on willingness to seek medical care for TB. Similarly, the economic burden has been found to be a key factor hindering health-seeking behaviours among TB patients, as well as a primary concern for TB control in India,23 Indonesia,30 Malawi,31 the Middle East and North Africa.32 To reduce the economic burden on TB patients, it is important for the government to expand health insurance coverage and lower the costs of TB treatment. The economic factor was further supported by the multivariate analysis result that family annual income per capita affected the willingness of the elderly to seek treatment. However, the significant association between family annual income per capita and willingness to seek medical care appeared only in the respondents who had 50 000–100 000¥ of family annual income per capita. The percentage of respondents whose family annual income per capita was more than 100 000¥ was relatively low in our study. Income is a sensitive topic and elderly people may under-report it. Thus, the effects of high family annual income per capita on willingness to seek medical care may have been underestimated in this study.
Many participants worried about being discriminated against for visiting TB prevention and treatment institutions, which was another important factor hindering their willingness to seek treatment. This was consistent with previous findings in South Africa,33 Ethiopia,34 India, Bangladesh, Malawi and Columbia.35 Previous studies have shown that TB patients suffer from widespread discriminatory and differential treatment due to long-term stereotypes about TB.33 36 The fear of being discriminated against can affect elderly people’ willingness to seek medical care, health-seeking behaviours and compliance during the treatment process.9 33 37 In addition, evidence has shown that TB stigma was associated with patient delay and diagnostic delay.9 Available evidence suggests that measures aimed at empowering TB patients to resist stigmatising perceptions, as well as efforts to change norms related to TB, can be effective in reducing the stigma associated with TB.38 To increase the willingness of the elderly population to seek medical care and enable them to receive timely treatment, it is crucial to further popularise knowledge about TB and eliminate the denigration and stigmatisation of TB through a variety of effective educational methods.
The results of the multivariate analysis showed that higher scores on attitudes and behaviours related to TB prevention and control were associated with greater willingness to seek medical care for TB. However, the prevalence of positive attitudes and practices towards TB was low. Therefore, measures should be taken to improve TB-related attitudes and behaviours among the elderly, which may help to increase willingness to seek medical care for TB. Intriguingly, we found that TB knowledge scores were not a significant determinant of willingness to seek medical care in the multivariate analysis, which was not in line with previous studies.9 25 26 32 39 Therefore, the association between TB knowledge and willingness to seek medical care needs further research.
This study had several strengths. First, it was the first to investigate the willingness of the elderly to seek medical care for TB in China. Second, our research found that certain important factors were associated with willingness to seek medical care, which could provide a reference for TB control policies among elderly people. However, some limitations should be noted. First, there may be more potential influencing factors of willingness to seek medical care than those we investigated in the study. Second, we listed ‘others’ as an open-ended response to reasons for unwillingness to seek medical care for TB but failed to acquire information about the specific other reasons, as the respondents did not provide detailed answers to this question. In future research, we could consider designing specific responses to investigate elderly people’s additional reasons for being unwilling to seek medical care for TB. Third, the study was cross-sectional, and thus was limited in terms of identifying the causality of the observed relationships. Fourth, this study enrolled only elderly people in Shenzhen, limiting the generalisability of the findings to other geographical regions.
Conclusion
In summary, this study found that family annual income per capita and TB-related attitudes and practices were significant predictors of willingness to seek medical care for TB among the elderly population. It is necessary to publicise TB-related knowledge and policies among the elderly. Measures must be taken to reduce the economic burden, clarify social misconceptions about TB and eliminate discrimination against TB patients.
Supplementary Material
Acknowledgments
We thank the elderly population who participated in this research.
Footnotes
YW and JF contributed equally.
Correction notice: This article has been corrected since it was published. Funding statement has been corrected.
Contributors: YW, JF and YoG conceived and designed the study. JF, JZ, XS, YZ, XM, HD, YaG, QY and XW participated in the acquisition of data. YW and XS analysed the data. ZiL, ZuL, XW and YoG gave advice on methodology. YW and JF wrote the draft of the paper. All authors contributed to writing, reviewing or revising the paper and read and approved the final manuscript. YoG is the guarantor of this work and has full access to all the data in the study and takes responsibility for its integrity and the accuracy of the data analysis.
Funding: This work was supported by A Major Infectious Disease Prevention and Control of the National Science and Technique Major Project (2018ZX10715004), Natural Science Foundation of Hubei Province (2020CFB218), Health Commission of Hubei Province Scientific Research Project (WJ2019H400), and Scientific Research Fund of Wuhan Municipal Health Commission (WG19Q03).
Competing interests: None declared.
Provenance and peer review: Not commissioned; externally peer reviewed.
Supplemental material: This content has been supplied by the author(s). It has not been vetted by BMJ Publishing Group Limited (BMJ) and may not have been peer-reviewed. Any opinions or recommendations discussed are solely those of the author(s) and are not endorsed by BMJ. BMJ disclaims all liability and responsibility arising from any reliance placed on the content. Where the content includes any translated material, BMJ does not warrant the accuracy and reliability of the translations (including but not limited to local regulations, clinical guidelines, terminology, drug names and drug dosages), and is not responsible for any error and/or omissions arising from translation and adaptation or otherwise.
Data availability statement
Data are available upon reasonable request. Data may be made available by contacting the corresponding author.
Ethics statements
Patient consent for publication
Not required.
Ethics approval
The study was approved by the Ethics Committee of the Tongji Medical College Institutional Review Board, Huazhong University of Science and Technology, Wuhan, China. Informed consent was obtained from all survey participants.
References
- 1.World Health Organization . Global tuberculosis report 2020. Geneva: World Health Organization, 2020. https://www.who.int/publications/i/item/9789240013131 [Google Scholar]
- 2.World Health Organization . China country assessment report on ageing and health. Geneva: World Health Organization, 2015. https://www.who.int/ageing/publications/china-country-assessment/zh/ [Google Scholar]
- 3.Wang Y. Data compilation of the fifth national tuberculosis epidemiological sampling survey in China. Beijing: Military Medical Science Press, 2011. [Google Scholar]
- 4.Chen W, Zhang H, Du X, et al. Characteristics and morbidity of the tuberculosis epidemic — China, 2019. China CDC Weekly 2020;2:181–4. 10.46234/ccdcw2020.048 [DOI] [Google Scholar]
- 5.General Office of the State Council of the People’s Republic of China . National tuberculosis prevention and control plan (2011-2015), 2020. Available: http://www.gov.cn/zhengce/content/2011-12/06/content_6143.htm
- 6.Li Y, Wang Z, Geng H. Current status and influencing factors of delayed visits to elderly pulmonary tuberculosis patients in Shandong Province. Chin J Gerontology 2013;33:1125–7. [Google Scholar]
- 7.Yang J, Du Y, Zhao Y. Patient delay and the impact factors for senile pulmonary tuberculosis in rural area. Chin Rural Health Serv Admin 2010;30:300–2. [Google Scholar]
- 8.Shen H, Du Y, Zhang G. Influencing factors of pulmonary tuberculosis patient delay in Guangzhou, 2008-2018. Chin J Antituberc 2020;42:510–7. [Google Scholar]
- 9.Li Y, Ehiri J, Tang S, et al. Factors associated with patient, and diagnostic delays in Chinese TB patients: a systematic review and meta-analysis. BMC Med 2013;11:156. 10.1186/1741-7015-11-156 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Shenzhen Bureau of Statistics, Shenzhen Investigation Team of National Bureau of Statistics . Shenzhen statistical Yearbook 2020. Beijing: China Statistics Press, 2020. [Google Scholar]
- 11.Huang Y, Huang J, Su X, et al. Analysis of the economic burden of diagnosis and treatment on patients with tuberculosis in Bao’an district of Shenzhen City, China. PLoS One 2020;15:e0237865. 10.1371/journal.pone.0237865 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Xu X, Liu J-H, Cao S-Y, et al. Delays in care seeking, diagnosis and treatment among pulmonary tuberculosis patients in Shenzhen, China. int j tuberc lung dis 2013;17:615–20. 10.5588/ijtld.12.0231 [DOI] [PubMed] [Google Scholar]
- 13.China Tuberculosis Control Collaboration . The effect of tuberculosis control in China. The Lancet 2004;364:417–22. 10.1016/S0140-6736(04)16764-0 [DOI] [PubMed] [Google Scholar]
- 14.Zhu L, Yang Y-Z, Guan H-Y, et al. Trends in drug-resistant tuberculosis after the implementation of the dots strategy in Shenzhen, China, 2000–2013. int j tuberc lung dis 2017;21:759–65. 10.5588/ijtld.16.0759 [DOI] [PubMed] [Google Scholar]
- 15.Tang Y, Zhao M, Wang Y, et al. Non-adherence to anti-tuberculosis treatment among internal migrants with pulmonary tuberculosis in Shenzhen, China: a cross-sectional study. BMC Public Health 2015;15:474. 10.1186/s12889-015-1789-z [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Lu H, Yan F, Wang W, et al. Do transportation subsidies and living allowances improve tuberculosis control outcomes among internal migrants in urban Shanghai, China? WPSAR 2013;4:19–24. 10.5365/wpsar.2013.4.1.003 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Liu Q, Smith H, Wang Y. Tuberculosis patient expenditure on drugs and tests in subsidised, public services in China: a descriptive study. Trop Med Int Health 2010;15:26–32. [DOI] [PubMed] [Google Scholar]
- 18.Zhao M, Wang W, Tang Y. Survey on knowledge, attitude and practice about tuberculosis prevention and treatment among residents in Bao'an district of Shenzhen. J Clin Pulm Med 2015;20:1567–71. [Google Scholar]
- 19.National Health and Family Planning Commission of the People’s Republic of China . Notice of the National Health and Family Planning Commission of the People’s Republic of China on the issuance of the work plan for the dissemination of knowledge on tuberculosis prevention and control by millions of volunteers and the core information and knowledge points on tuberculosis prevention and control, 2021. Available: http://www.nhc.gov.cn/jkj/s3589/201604/2dd6a74584d34a6ba0dd863544e83416.shtml
- 20.Ma J. Study on the elderly pulmonary tuberculosis epidemic characteristic in Dongchuan district and awareness of tuberculosis prevention and control knowledge. Kunming: Kunming Medical University, 2015. [Google Scholar]
- 21.Lu C, Che X, Li M. Investigation on public awareness in key information of tuberculosis prevention and control in Shenzhen. J Tuberc Lung Health 2019;8:259–64. [Google Scholar]
- 22.Wang Y, Gan Y, Zhang J, et al. Analysis of the current status and associated factors of tuberculosis knowledge, attitudes, and practices among elderly people in Shenzhen: a cross-sectional study. BMC Public Health 2021;21:1163. 10.1186/s12889-021-11240-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Thomas BE, Thiruvengadam K, S. R, et al. Understanding health care-seeking behaviour of the tribal population in India among those with presumptive TB symptoms. PLoS One 2021;16:e0250971. 10.1371/journal.pone.0250971 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Helfinstein S, Engl E, Thomas BE, et al. Understanding why at-risk population segments do not seek care for tuberculosis: a precision public health approach in South India. BMJ Glob Health 2020;5:e002555. 10.1136/bmjgh-2020-002555 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Tong Y, Guan X, Hou S, et al. Determinants of health Care-Seeking delay among tuberculosis patients in rural area of central China. Int J Environ Res Public Health 2018;15:1998. 10.3390/ijerph15091998 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Obsa MS, Daga WB, Wosene NG, et al. Treatment seeking delay and associated factors among tuberculosis patients attending health facility in Ethiopia from 2000 to 2020: a systematic review and meta analysis. PLoS One 2021;16:e0253746. 10.1371/journal.pone.0253746 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Chen X, Wang W, Wang X, et al. Public awareness of tuberculosis in Southeast China: a population-based study. Int J Environ Res Public Health 2019;16:4290. 10.3390/ijerph16214290 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Wang J, Fei Y, Shen H, et al. Gender difference in knowledge of tuberculosis and associated health-care seeking behaviors: a cross-sectional study in a rural area of China. BMC Public Health 2008;8:354. 10.1186/1471-2458-8-354 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Li Y, Li X, Xie HB. Analysis on the reimbursement situation of TB treatment costs in the new rural cooperative medical system. Chin J Antituberc 2010;32:685–9. [Google Scholar]
- 30.Rintiswati N, Mahendradhata Y, et al. Journeys to tuberculosis treatment: a qualitative study of patients, families and communities in Jogjakarta, Indonesia. BMC Public Health 2009;9:158. 10.1186/1471-2458-9-158 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Meghji J, Gregorius S, Madan J, et al. The long term effect of pulmonary tuberculosis on income and employment in a low income, urban setting. Thorax 2021;76:387–95. 10.1136/thoraxjnl-2020-215338 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Eltayeb D, Pietersen E, Engel M, et al. Factors associated with tuberculosis diagnosis and treatment delays in middle East and North Africa: a systematic review. East Mediterr Health J 2020;26:477–86. 10.26719/2020.26.4.477 [DOI] [PubMed] [Google Scholar]
- 33.Cramm JM, Finkenflügel HJM, Møller V, et al. TB treatment initiation and adherence in a South African community influenced more by perceptions than by knowledge of tuberculosis. BMC Public Health 2010;10:72. 10.1186/1471-2458-10-72 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Datiko DG, Jerene D, Suarez P. Stigma matters in ending tuberculosis: nationwide survey of stigma in Ethiopia. BMC Public Health 2020;20:190. 10.1186/s12889-019-7915-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Somma D, Thomas BE, Karim F. Gender and socio-cultural determinants of TB-related stigma in Bangladesh, India, Malawi and Colombia. Int J Tuberc Lung Dis 2008;12:856–66. [PubMed] [Google Scholar]
- 36.Mushtaq MU, Shahid U, Abdullah HM, et al. Urban-rural inequities in knowledge, attitudes and practices regarding tuberculosis in two districts of Pakistan’s Punjab province. Int J Equity Health 2011;10:8. 10.1186/1475-9276-10-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Kane JC, Elafros MA, Murray SM, et al. A scoping review of health-related stigma outcomes for high-burden diseases in low- and middle-income countries. BMC Med 2019;17:17. 10.1186/s12916-019-1250-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Courtwright A, Turner AN. Tuberculosis and stigmatization: pathways and interventions. Public Health Rep 2010;125:34–42. 10.1177/00333549101250S407 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Chimbatata NBW, Zhou C-M, Chimbatata CM, et al. Post-2015, why delay to seek healthcare? perceptions and field experiences from TB healthcare providers in northern Malawi: a qualitative study. Infect Dis Poverty 2017;6:60. 10.1186/s40249-017-0279-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
bmjopen-2021-051291supp001.pdf (48.9KB, pdf)
Data Availability Statement
Data are available upon reasonable request. Data may be made available by contacting the corresponding author.