| Literature DB >> 33758516 |
Wei Xing1, Rui Zhang1, Weixi Jiang2, Ting Zhang3, Michelle Pender4, Jiani Zhou1, Jie Pu1, Shili Liu1, Geng Wang1, Yong Chen1, Jin Li1, Daiyu Hu5, Shenglan Tang4, Ying Li1.
Abstract
AIM: This paper evaluated the treatment adherence for multidrug-resistant tuberculosis (MDR-TB) and MDR-TB case management (MTCM) in Chongqing, China in order to identify factors associated with poor treatment adherence and case management.Entities:
Keywords: adherence behaviors; management; multi-drug-resistant tuberculosis; treatment
Year: 2021 PMID: 33758516 PMCID: PMC7979342 DOI: 10.2147/IDR.S293583
Source DB: PubMed Journal: Infect Drug Resist ISSN: 1178-6973 Impact factor: 4.003
Figure 1Integrated model for MDR-TB patients. This figure presents the integrated model of MDR-TB control. MDR-TB designated hospitals provide diagnosis and treatment and inpatient MTCM for MDR-TB patients. Centers for Disease Control and Prevention (CDCs) provide planning, assessment and case management related to MDR-TB control. Outpatient MTCM is mainly provided by health care workers (HCWs) in PHC sectors, including community health centres (CHCs) in urban areas as well as township hospital centres (THCs) and village clinics in rural areas.
Demographic, Socio-Economic and Clinical Characteristics of MDR-TB Patients in Chongqing
| Characteristics | No. | % | |
|---|---|---|---|
| Age (n=132) | 15–35 | 34 | 25.7 |
| 36–55 | 57 | 43.2 | |
| >55 | 41 | 31.1 | |
| Gender (n=132) | Male | 84 | 63.6 |
| Female | 48 | 36.4 | |
| Place of residence (n=132) | Urban area | 56 | 42.4 |
| Suburban area | 76 | 57.6 | |
| Resident status (n=132) | Migrants | 6 | 4.5 |
| Resident | 126 | 95.5 | |
| Marital status (n=132) | Married | 83 | 62.9 |
| Divorced/widowed | 21 | 15.9 | |
| Unmarried | 28 | 21.2 | |
| Education (n=132) | Primary and below | 40 | 30.3 |
| Middle school | 73 | 55.3 | |
| College and above | 19 | 14.4 | |
| Occupation (n=132) | Employed in enterprises/institutions/government | 23 | 17.4 |
| Peasants/rural migrant workers | 51 | 38.7 | |
| Others (unstable work or no income) | 58 | 43.9 | |
| Health insurance (n=132) | Urban Employee Basic Medical Insurance (UEBMI) | 23 | 17.4 |
| Resident Basic Medical Insurance(RBMI) | 108 | 81.8 | |
| No medical insurance | 1 | 0.8 | |
| Distance to the nearest drug-resistant designated hospital (n=132) | ≤30 minutes on foot | 4 | 3.0 |
| ≤2 hours by bus | 49 | 37.1 | |
| > 2 hours by bus(round trip in one day) | 49 | 37.1 | |
| >2 hours by bus (overnight) | 30 | 22.8 | |
| Received MDR-TB treatment before (n=132) | Yes | 128 | 97.0 |
| No | 4 | 3.0 | |
| Received free TB treatment (n=117) * | Yes | 68 | 58.1 |
| No | 49 | 41.9 | |
| Treatment delay (n=128) * | <3 day | 89 | 69.5 |
| 3–30 day | 21 | 16.4 | |
| >30 day | 18 | 14.1 | |
Note: *Missing data were excluded.
Figure 2Status of MDR-TB case management. This figure presents the type of provider, frequency of case management contact and methods of MDR-TB case management (MTCM) by HCWs from PHC sectors, MDR-TB designated hospitals or county CDCs (TB dispensaries). (A) presents the percentage of MDR-TB patients who received MTCM from CDC (TB dispensaries), MDR-TB designated hospitals and PHC sectors. (B) presents the percentage of MDR-TB patients who received different frequencies of MTCM from HCWs from PHC sectors, MDR-TB designated hospitals or county CDCs (TB dispensaries). (C) presents the percentage of MDR-TB patients who received MTCM through the different methods.
Figure 3Status and reasons of poor adherence behaviors for MDR-TB patients. This figure presents the adherence to anti-TB treatment among MDR-TB patients (A), self-reported reasons for self-reduced drug intake (B), self-reported reasons for missed dosage (C), self-reported reasons for interrupted treatment (D), and self-reported reasons for missed follow-up sputum-exam (E).
Multivariate Logistic Regression Analysis of MTCM
| Categories | Received MTCM in General | Received MTCM from HCWs from CHCs/THCs/Village | Received MTCM from HCWs from MDR-TB Designated Hospital |
|---|---|---|---|
| OR(95% CI) | OR(95% CI) | OR(95% CI) | |
| 15–35 | 1 | 1 | 1 |
| 36–55 | 2.31(0.64–8.31) | 2.22(0.75–6.59) | 0.38(0.14–1.08) |
| >55 | 1.38(0.38–4.98) | 0.89(0.28–2.89) | 0.49(0.16–1.52) |
| Male | 1 | 1 | 1 |
| Female | 1.50(0.47–4.80) | 0.26(0.12–0.63) * | 0.70(0.31–1.59) |
| Urban Employee Basic Medical Insurance (UEBMI) | 1 | – | – |
| Resident Basic Medical Insurance(RBMI) | 1.85(0.43–7.97) | – | – |
| Married | – | 1 | – |
| Divorced/widowed | – | 2.20(0.74–6.57 | – |
| Unmarried | – | 0.67(0.17–2.56) | – |
| Yes | 1 | – | 1 |
| No | 0.44(0.11–1.84) | – | 0.21(0.07–0.63) * |
| Urban area | 1 | – | 1 |
| Suburban area | 6.70(1.52–29.55) * | – | 2.77(1.19–6.43) * |
| Yes | 1 | – | – |
| No | 0.14(0.03–0.74) * | – | – |
Notes: *P<0.05. “–” refers to this variable was not included in the logistic model for this independent variable.
Abbreviations: OR, odds ratio; CI, confidence interval; MDR-TB, multidrug-resistant tuberculosis; PHC, primary health care; MCTM, MDR-TB case management; HCWs, health care workers.
Multivariate Logistic Regression Analysis of Poor Adherence Behaviors
| Categories | Non-Adherence | Self-Reduced Drug Intake | Missed Dosage | Interrupted Treatment | Missed Follow-Up Sputum-Exam |
|---|---|---|---|---|---|
| OR(95% CI) | OR(95% CI) | OR(95% CI) | OR(95% CI) | OR(95% CI) | |
| 15–35 | 1 | 1 | 1 | 1 | 1 |
| 36–55 | 0.46(0.18–1.14) | 0.48(0.04–6.54) | 0.52(0.22–1.25) | 1.03(0.34–3.14) | 0.72(0.25–2.06) |
| >55 | 0.86(0.31–2.42) | 6.54(0.87–49.40) | 0.77(0.30–1.98) | 1.91(0.61–5.97) | 0.84(0.28–2.55) |
| Male | 1 | 1 | 1 | 1 | 1 |
| Female | 0.76(0.35–1.64) | 1.10(0.50–6.61) | 0.68(0.31–1.47) | 0.74(0.29–1.90) | 2.68 (1.09–6.60)* |
| Urban area | 1 | – | – | – | – |
| Suburban area | 0.37(0.17–0.81)* | – | – | – | – |
| Resident | – | 1 | – | – | – |
| Migrants | – | 15.31(1.54–152.23)* | – | – | – |
| Unmarried | – | – | 1 | – | – |
| Married | – | – | 0.29(0.11–0.73)* | – | – |
| Divorced/widowed | – | – | 0.41(0.12–1.39) | – | – |
| No | – | 1 | – | – | – |
| Yes | – | 0.22(0.05–0.99)* | – | – | – |
| No | – | – | – | 1 | – |
| Yes | – | – | – | 3.84(1.05–14.09)* | – |
Notes: *P<0.05. “–” refers to this variable was not included in the logistic model for this independent variable.
Abbreviations: OR, odds ratio; CI, confidence interval; MCTM, MDR-TB case management.
Qualitative Results About MDR-TB Treatment Adherence and Management
| Themes | Results | Quotation |
|---|---|---|
| Patients’ adherence with MDR-TB treatment | All MDR-TB patients, HCWs from PHC sectors and MDR-TB designated hospitals reported poor adherence among MDR-TB patients. | “ I stopped taking drugs after 7 or 8 months … too much side-effects caused me unable to adhere … cough disappeared, so I think I was cured”(MDR-TB patients) |
| “They cannot adherence with the treatment” (HCW from PHC sector) | ||
| “About 10% patients cannot adherence with treatment” (HCW from designated hospital) | ||
| Reasons for non-adherence with MDR-TB treatment | The most often mentioned reasons for interrupt treatment by the MDR-TB patients, HCWs from PHC sectors and MDR-TB designated hospitals were improvements in symptoms and side-effects of drugs. Financial difficulty was also the reason though there was special health insurance of reimbursement of 90% treatment fee or 50,000 RMB per year. Individual HCWs from MDR-TB designated hospitals reported that patients had poor adherence because of busy with work. | … I stopped drugs after feeling better, … my hands were so swelling, painful, trembling, … can’t eat drugs anymore … too much side-effects … I don’t have money for follow-up examinations, … I can only borrow money from my daughter-in-law (MDR-TB Patient) |
| “ … there is one MDR-TB patient with liver cancer and drug-related liver damage, he almost stopped treatment now” (HCW from PHC sector) | ||
| “ … but major symptoms disappeared, they believed they are cured” (HCW from designated hospital) | ||
| “ … some patients interrupted treatment due to busy work ….some patients had financial difficult though there is the special health insurance of reimbursement of 90% treatment fee or 50,000 RMB for MDR-TB patients in Chongqing, some patients had multiple and server side-effects and could not adherence with treatment”(HCW from designated hospital) | ||
| HCWs behaviours related to MTCM | All patients stated they received management by telephone from HCWs in PHC sectors and they mainly received health education on MDR-TB knowledge from HCW from MDR-TB designated hospitals instead of HCWs from PHC sectors. | “ … HCW from XX designed hospital told me to take medicine one to two years at least … pick drugs regularly … during the treatment period, only received telephone calls from HCWs in PHC sectors once per month and asked me whether I felt better and kept taking drugs”(MDR-TB patient) |
| MDR-TB patients’ willingness to receive management by HCWs in PHC sectors | One MDR-TB patient expressed strong willingness to receive management from HCWs in PHC sectors, but another patient thought HCWs cannot help him. | “It is good to have HCW in PHC sectors provide management to me” (MDR-TB patient) |
| All HCWs in PHC sectors mentioned that most patients cooperated with management, and HCW from MDR-TB designated hospitals mentioned MDR-TB patients trust more HCWs from PHC sectors and possibly receive management from them. | “The HCW in PHC sectors can only ask me to know whether I felt better, can’t help me more”(MDR-TB patient) | |
| But HCWs from both PHC sectors and MDR-TB designated hospitals reported some patients, especially the youths, do not like to receive their management because of social stigma. | “ … the patients didn’t hope their friends know they are having TB … … so they would not let you go to their home … they even didn’t pick our calls … ” (HCW from PHC sector) | |
| “ … most MDR-TB patients cooperated well, they are old people … but some patients are unwilling to receive management … especially the youths, they wouldn’t like me visit their home, … He wouldn’t open the door even I visited his home three times” (HCW from PHC sector) | ||
| “Generally speaking, patients would engaged more communications with HCWs from PHC sectors, patients would more likely to trust them … ”(HCW from designated hospital) | ||
| “There was one student, he is unwilling to receive home visit from the HCWs from PHC sectors … he really dislike our management … ”(HCW from designated hospital) |
Abbreviations: TB, tuberculosis; MDR-TB, multidrug-resistant tuberculosis; PHC, primary health care; HCWs, health care workers; MCTM, MDR-TB case management.