| Literature DB >> 32887605 |
Liping Lu1, Qi Jiang2, Jianjun Hong1, Xiaoping Jin1, Qian Gao2, Heejung Bang3, Kathryn DeRiemer3, Chongguang Yang4,5.
Abstract
BACKGROUND: The internal rural-to-urban migration is one of the major challenges for tuberculosis (TB) control in China. Patient costs incurred during TB diagnosis and treatment could cause access and adherence barriers, particularly among migrants. Here, we estimated the prevalence of catastrophic costs of TB patients and its associated factors in an urban population with internal migrants in China.Entities:
Keywords: Catastrophic cost; China; Economic burden; Migrant; Tuberculosis
Mesh:
Year: 2020 PMID: 32887605 PMCID: PMC7602335 DOI: 10.1186/s12913-020-05686-5
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.655
Demographic, socio-economic and clinical characteristics of Tuberculosis patients among residents and migrants
| Variable | Total | Residents | Migrants | ||||
|---|---|---|---|---|---|---|---|
| Age, yrs. [median (IQR)] | 34 | (26–49) | 52 | (34–62) | 32 | (25–40) | < 0.01 |
| Gender [n (%)] | 0.40 | ||||||
| Male | 167 | (67.3) | 47 | (63.5) | 120 | (69.0) | |
| Female | 81 | (32.7) | 27 | (36.5) | 54 | (31.0) | |
| Education level [n (%)] | 0.01 | ||||||
| Primary | 46 | (18.5) | 19 | (25.7) | 27 | (15.5) | |
| Middle | 88 | (35.5) | 20 | (27.0) | 68 | (39.1) | |
| High | 82 | (33.1) | 20 | (27.0) | 62 | (35.6) | |
| College | 32 | (12.9) | 15 | (20.3) | 17 | (9.8) | |
| Living area per capita, m2 [median (IQR)] | 16 | (9–30) | 34 | (24–60) | 12 | (8–20) | < 0.01 |
No. of member per household [median (IQR)] | 3 | (3–5) | 3 | (3–4) | 4 | (3–5) | 0.15 |
| Mean Income, thousand RMB [median (IQR)] | |||||||
| Monthly income | 3.5 | (2.0–4.5) | 2.9 | (1.3–3.0) | 3.8 | (2.5–4.9) | < 0.01 |
| Annual household income | 80 | (54–120) | 70 | (50–100) | 90 | (60–120) | 0.01 |
| Annual household income per capita | 24 | (16–33) | 20 | (15–32) | 25 | (17–36) | 0.06 |
| Medical insurance status [n (%)] | < 0.01 | ||||||
| Yes | 154 | (62.1) | 70 | (94.6) | 84 | (48.3) | |
| No-feasible (self-pay) | 94 | (37.9) | 4 | (5.4) | 90 | (51.7) | |
| Debts [n (%)] | 0.96 | ||||||
| Yes | 17 | (6.9) | 5 | (6.8) | 12 | (6.9) | |
| No | 231 | (93.1) | 69 | (93.2) | 162 | (93.1) | |
| Occurence of Catastrophic cost | < 0.01 | ||||||
| Yes | 55 | (22.2) | 25 | (33.8) | 30 | (17.2) | |
| No | 193 | (77.8) | 49 | (66.2) | 144 | (82.8) | |
| TB history [n (%)] | 0.03 | ||||||
| Yes | 17 | (6.9) | 9 | (12.2) | 8 | (4.6) | |
| No | 231 | (93.1) | 65 | (87.8) | 166 | (95.4) | |
| Number of patient visits [median (IQR)] | |||||||
| Pre-diagnosis | 3 | (2–4) | 3 | (2–4) | 3 | (2–4) | 0.17 |
| Post-diagnosis | 14 | (11–17) | 15 | (12–19) | 13 | (11–16) | 0.01 |
| Treatment outcomes [n (%)] | 0.80 | ||||||
| Cured | 85 | (34.3) | 26 | (35.1) | 59 | (33.9) | |
| Completed | 158 | (63.7) | 46 | (62.2) | 112 | (64.4) | |
| Others | 5 | (2.0) | 2 | (2.7) | 3 | (1.7) | |
| Sputum smear microscope testing [n (%)] | 0.82 | ||||||
| Positive | 88 | (35.5) | 27 | (36.5) | 61 | (35.1) | |
| Negative | 157 | (63.3) | 45 | (60.8) | 112 | (64.4) | |
| Default | 3 | (1.2) | 2 | (2.7) | 1 | (0.6) | |
| Hospitalization [n (%)] | < 0.01 | ||||||
| None | 163 | (65.7) | 31 | (41.9) | 132 | (75.9) | |
| Yes | 85 | (34.3) | 43 | (58.1) | 42 | (24.1) | |
| Pre-diagnosis | 56 | (22.6) | 26 | (35.1) | 30 | (17.2) | |
| Post-diagnosis | 18 | (7.3) | 11 | (14.9) | 7 | (4.0) | |
| In both period | 11 | (4.4) | 6 | (8.1) | 5 | (2.9) | |
| Diagnosis delay, days [median (IQR)] | |||||||
| Patient delay (days from symptom to seeking care) | 10 | (3–22) | 10 | (3–26) | 10 | (2–20) | 0.17 |
| Hospital delay (days from seeking care to diagnosis) | 13 | (6–20) | 15 | (7–22) | 11 | (6–19) | 0.07 |
* IQR = Interquartile range; RMB, Chinese Yuan
Fig. 1Patient cost by treatment stage in mean Chinese Yuan (RMB), stratified by migrant status. The bar color corresponds to the color of cost categories in the table
Risk Factors associated with catastrophic cost before (CC1) and after (CC2) the TB specific reimbursement
| Univariable analysis, CC1 | Multivariable logistic regression, CC1 | Multivariable logistic regression, CC2 | ||||
|---|---|---|---|---|---|---|
| OR (95%CI) | p value | Adjusted OR (95%CI) | p value | Adjusted OR (95%CI) | p value | |
| Migrants | 0.41 (0.21–0.77) | < 0.01 | 0.64 (0.25–1.61) | 0.34 | 0.81 (0.31–2.13) | 0.68 |
| Sex, females | 1.00 (0.53–1.90) | 0.99 | ||||
| Age, years | 1.04 (1.02–1.06) | < 0.01 | ||||
| More than 45 years old | 3.87 (2.02–7.43) | < 0.01 | 2.50 (1.20–5.21) | 0.01 | 2.52 (1.17–5.47) | 0.01 |
| Primary education and lower | 3.24(1.60–6.58) | < 0.01 | ||||
| Living area per capital, m2 | 1.01 (1.00–1.02) | 0.01 | ||||
| Family size (per person increased) | 0.84 (0.65–1.10) | 0.19 | ||||
| Unemployment | 2.17 (0.86–5.49) | 0.10 | ||||
| No feasible health insurance | 1.12 (0.60–2.07) | 0.36 | 2.69 (1.08–6.72) | 0.03 | 2.33 (0.89–6.14) | 0.08 |
| Previous TB episode | 2.67 (0.96–7.45) | 0.06 | ||||
| Patient delay; days | 1.01 (0.99–1.02) | 0.07 | ||||
| Hospital delay; days | 1.00 (0.99–1.01) | 0.76 | ||||
| Smear positive | 1.17 (0.62–2.21) | 0.63 | ||||
| Hospitalization | 11.27 (5.55–22.89) | < 0.01 | 10.78 (4.96–23.41) | < 0.01 | 14.92 (6.30–35.28) | < 0.01 |
Note, CC1 represents catastrophic costs without reimbursement from local CDC, and CC2 represents catastrophic expenditures after reimbursement from local CDC; OR = odds ratio
Distribution of TB patients with hospitalization by age groups, migrant strata, and health insurance status
| Age groups | TB Patients with hospitalization | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Total (%) | Migrant TB patient (%) | Resident TB patient (%) | With insurance (%) | Self-pay* (%) | ||||||
| Total | 85/248 | (34) | 42/174 | (24) | 43/74 | (58) | 62/154 | (40) | 23/94 | (24) |
| 15 ~ 24 | 18/46 | (39) | 13/39 | (33) | 5/7 | (71) | 10/20 | (50) | 8/26 | (30) |
| 25 ~ 34 | 14/81 | (17) | 6/65 | (9) | 8/16 | (50) | 12/54 | (22) | 2/27 | (7) |
| 35 ~ 44 | 10/38 | (26) | 6/31 | (19) | 4/7 | (57) | 8/25 | (32) | 2/13 | (15) |
| 45 ~ 54 | 13/34 | (38) | 8/22 | (36) | 5/12 | (42) | 8/17 | (47) | 5/17 | (29) |
| 55 ~ 64 | 18/31 | (58) | 6/12 | (50) | 12/19 | (63) | 13/22 | (59) | 5/9 | (56) |
| 65+ | 12/18 | (67) | 3/5 | (60) | 9/13 | (69) | 11/16 | (69) | 1/2 | (50) |
* Most (90 of 94) of the self-pay TB patients were from migrant