| Literature DB >> 36028844 |
Md Shahjalal1,2,3, Jeff Gow4,5, Md Ashfikur Rahman6, Md Jakir Hossain7,8, Md Nafiul Alam Khan7,9, Md Sazzadul Alam8, Ahmed Hossain10,11, Rashidul Alam Mahumud4,12.
Abstract
BACKGROUND: Complementary and alternative medicine (CAM) has played a critical role in ensuring universal access to basic health care services around the world. In Bangladesh, conventional medicine is a common approach for health care practices, yet, due to Bangladesh's high out-of-pocket payment, millions of people utilise CAM-based healthcare services for illnesses. In Bangladesh, there is a scarcity of data on how CAM is perceived and utilised. The goal of this study was to determine the proportion and correlates of the utilisation of CAM among patients visiting a tertiary level hospital, in Bangladesh.Entities:
Keywords: Bangladesh; Complementary and alternative medicine; Conventional medicine
Mesh:
Year: 2022 PMID: 36028844 PMCID: PMC9414049 DOI: 10.1186/s12906-022-03709-8
Source DB: PubMed Journal: BMC Complement Med Ther ISSN: 2662-7671
Distribution of patient’s characteristics (n = 1,183)
| Characteristics | Number of patients, | Utilisation of CAM, n (%) | ||
|---|---|---|---|---|
|
| ||||
| < 18 | 249(21.0) | 195(78.3) | 54(21.7) | < 0.001 |
| 18–25 | 283(23.9) | 182(64.3) | 101(35.7) | |
| 26–45 | 218(18.4) | 86(39.4) | 132(60.6) | |
| 46–65 | 169(14.3) | 112(66.3) | 57(33.7) | |
| 65 + | 264(22.3) | 202(76.5) | 62(23.5) | |
| Male | 415(35.1) | 315(75.9) | 100(24.1) | < 0.001 |
| Female | 768(64.9) | 462(60.2) | 306(39.8) | |
| Muslim | 1108(93.7) | 733(66.2) | 375(33.8) | 0.186 |
| Others | 75(6.3) | 44(58.7) | 31(41.3) | |
| No education | 314(26.5) | 168(53.5) | 146(46.5) | < 0.001 |
| Primary | 270(22.8) | 170(63.0) | 100(37.0) | |
| Secondary | 205(17.3) | 121(59.0) | 84(41.0) | |
| Tertiary | 394(33.3) | 318(80.7) | 76(19.3) | |
| Single | 349(29.5) | 267(76.5) | 82(23.5) | < 0.001 |
| Married | 834(70.5) | 510(61.2) | 324(38.8) | |
| Urban | 1058(89.4) | 703(66.4) | 355(33.6) | 0.107 |
| Rural | 125(10.6) | 74(59.2) | 51(40.8) | |
| Nuclear | 844(71.3) | 584(69.2) | 260(30.8) | < 0.001 |
| Joint | 339(28.7) | 193(56.9) | 146(43.1) | |
| Unemployed | 165(13.9) | 101(61.2) | 64(38.8) | < 0.001 |
| Informal workers | 522(44.1) | 295(56.5) | 227(43.5) | |
| Formal employee | 173(14.6) | 137(79.2) | 36(20.8) | |
| Business | 81(6.8) | 70(86.4) | 11(13.6) | |
| Students | 209(17.7) | 155(74.2) | 54(25.8) | |
| Others | 33(2.8) | 19(57.6) | 14(42.4) | |
| Q1 (< 10,000) | 158(13.4) | 126(79.7) | 32(20.3) | < 0.001 |
| Q2 (10,000–19,000) | 251(21.2) | 136(54.2) | 115(45.8) | |
| Q3 (20,000–29,0000) | 204(17.2) | 100(49.0) | 104(51.0) | |
| Q4 (30,000–39,0000) | 160(13.5) | 85(53.1) | 75(46.9) | |
| Q5 (≥ 40,000) | 410(34.7) | 330(80.5) | 80(19.5) | |
Note: Q1 lowest 20% and Q2 highest 20%; CAM Complementary and Alternative Medicine, p-value = probability value, p-value was derived from the chi-square test
Fig. 1Patients with diseases according to income quintile
Association between CAM utilisation and patient characteristics
| Characteristics | Unadjusted model | Adjusted model | ||
|---|---|---|---|---|
| < 18 (= ref) | ||||
| 18–25 | 2.00(1.36–2.95 | < 0.001 | 2.62(1.51–4.54) | 0.001 |
| 26–45 | 5.54(3.69–8.32) | < 0.001 | 6.26(3.24–12.07) | < 0.001 |
| 46–65 | 1.84(1.19–2.85) | 0.007 | 2.39(1.18–4.84) | 0.016 |
| 65 + | 1.10(0.73–1.68) | 0.627 | 1.61(0.80–3.24) | 0.176 |
| Male (= ref) | ||||
| Female | 2.09(1.59–2.72 | < 0.001 | 1.17(0.83–1.63) | 0.361 |
| Muslim | 0.73(0.45–1.17) | 0.188 | 0.71(0.41–1.21) | 0.213 |
| Others (= ref) | ||||
| No education | 3.64(2.60–5.08) | < 0.001 | 2.99(1.81–4.93) | < 0.001 |
| Primary | 2.46(1.73–3.49) | < 0.001 | 2.30(1.40–3.78) | 0.001 |
| Secondary | 2.91(1.99–4.220 | < 0.001 | 2.26(1.41–3.63) | 0.001 |
| Tertiary (= ref) | ||||
| Single (= ref) | ||||
| Married | 2.07(1.55–2.74) | < 0.001 | 1.79(1.08–2.97) | 0.022 |
| Urban (= ref) | ||||
| Rural | 1.36(0.93–1.99) | 0.108 | 0.78(0.48–1.26) | 0.318 |
| Nuclear (= ref) | ||||
| Joint | 1.69(1.31–2.20) | < 0.001 | 1.33(0.97–1.83) | 0.072 |
| Unemployed (= ref) | ||||
| Informal workers | 1.21(0.84–1.73) | 0.287 | 0.67(0.42–1.06) | 0.094 |
| Formal employee | 0.41(0.25–0.67) | < 0.001 | 0.52(0.29–0.95) | 0.034 |
| Business | 0.24(0.12–0.50) | < 0.001 | 0.22(0.120–0.51) | < 0.001 |
| Students | 0.55(0.35–0.85) | 0.008 | 1.32(0.73–2.38) | 0.353 |
| Others | 1.16(0.54–2.48) | 0.697 | 0.58(0.24–1.42) | 0.238 |
| Q1 (Lowest 20%) | 1.04(0.66–1.65) | 0.842 | 0.49(0.28–0.88) | 0.016 |
| Q2 | 3.48(2.46–4.94) | < 0.001 | 1.53(0.96–2.44) | 0.072 |
| Q3 | 4.29(2.97–6.19) | < 0.001 | 2.18(1.38–3.44) | 0.001 |
| Q4 | 3.64(2.4–5.4) | < 0.001 | 2.34(1.45–3.76) | < 0.001 |
| Q5 (Highest 20%) (= ref) | ||||
Note: OR Odds ratio, CI Confidence interval
Fig. 2Reasons for using CAM * multiple responses