| Literature DB >> 32787832 |
Moe Khaing1,2, Yu Mon Saw3,4, Thet Mon Than1,2, Aye Myat Mon2, Su Myat Cho1, Thu Nandar Saw5, Tetsuyoshi Kariya1,6, Eiko Yamamoto1, Nobuyuki Hamajima1.
Abstract
BACKGROUND: Diagnosis by computed tomography (CT) and magnetic resonance imaging (MRI) is important for patient care. However, the geographic distribution and utilisation of these machines in countries with limited resources, such as Myanmar, have not been sufficiently studied. Therefore, this study aims to identify the geographic distribution and utilisation of CT and MRI services at public hospitals in Myanmar.Entities:
Keywords: CT; Geographic distribution; MRI; Myanmar; Utilisation
Mesh:
Year: 2020 PMID: 32787832 PMCID: PMC7424658 DOI: 10.1186/s12913-020-05610-x
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.655
Geographic distribution of CT and MRI at public hospitals in all states and regions of Myanmar (2017)
| Region/State/Union Territory | CT | MRI | ||||||
|---|---|---|---|---|---|---|---|---|
| Tertiary hospital | Secondary hospital | Total | % | Tertiary hospital | Secondary hospital | Total | % | |
| Kachin | – | 2 | 2 | 4.4 | – | – | – | – |
| Kayah | – | 1 | 1 | 2.2 | – | – | – | – |
| Kayin | – | 1 | 1 | 2.2 | – | – | – | – |
| Chin | – | 1 | 1 | 2.2 | – | – | – | – |
| Sagaing | – | 2 | 2 | 4.4 | – | – | – | – |
| Tanintharyi | – | 2 | 2 | 4.4 | – | – | – | – |
| Bago | – | 3 | 3 | 6.7 | – | – | – | – |
| Magway | 1 | 2 | 3 | 6.7 | – | 1 | 1 | 7.1 |
| Mandalay | 6 | 1 | 7 | 15.6 | 3 | – | 3 | 21.4 |
| Mon | – | 1 | 1 | 2.2 | – | – | – | – |
| Rakhine | – | 1 | 1 | 2.2 | – | – | – | – |
| Yangon | 13 | – | 13 | 28.9 | 7 | – | 7 | 50.0 |
| Shan | 1 | 2 | 3 | 6.7 | 1 | – | 1 | 7.1 |
| Ayeyarwady | – | 2 | 2 | 4.4 | – | – | – | – |
| Nay Pyi Taw | 3 | – | 3 | 6.7 | 2 | – | 2 | 14.3 |
Fig. 1Geographic Distribution of CT and MRI at public hospitals in Myanmar (2017). Distribution of CT and MRI all over the country was described on country map of Myanmar separately. CT was available in all 15 states and regions of Myanmar while MRI was available in only five regions. There was one hospital (Yangon General Hospital) with three CT scans in Yangon Region, three hospitals (Mandalay General Hospital, Nay Pyi Taw General Hospital, Yangon Specialist Hospital) with two CT scans in Mandalay Region, Nay Pyi Taw Union Territory, and Yangon Region. There was also one hospital (Mandalay General Hospital) with two MRIs in Mandalay Region
Number and average growth rates of CT and MRI at public hospitals in all states and regions of Myanmar (2015–2017)
| Region/State/Union Territory | CT | MRI | ||||||
|---|---|---|---|---|---|---|---|---|
| 2015 | 2016 | 2017 | AGR | 2015 | 2016 | 2017 | AGRa | |
| Kachin | 1 | 2 | 2 | 26% | – | – | – | – |
| Kayah | 1 | 1 | 1 | 0% | – | – | – | – |
| Kayin | 1 | 1 | 1 | 0% | – | – | – | – |
| Chin | 0 | 1 | 1 | 0% | – | – | – | – |
| Sagaing | 0 | 1 | 2 | 41% | – | – | – | – |
| Tanintharyi | 2 | 2 | 2 | 0% | – | – | – | – |
| Bago | 1 | 1 | 3 | 44% | – | – | – | – |
| Magway | 2 | 2 | 3 | 14% | – | 1 | 1 | 0% |
| Mandalay | 5 | 6 | 7 | 12% | 2 | 2 | 3 | 14% |
| Mon | 1 | 1 | 1 | 0% | – | – | – | – |
| Rakhine | 1 | 1 | 1 | 0% | – | – | – | – |
| Yangon | 11 | 13 | 13 | 6% | 3 | 6 | 7 | 33% |
| Shan | 2 | 3 | 3 | 14% | – | 1 | 1 | 0% |
| Ayeyarwady | 1 | 2 | 2 | 26% | – | – | – | – |
| Nay Pyi Taw | 2 | 2 | 3 | 14% | 2 | 2 | 2 | 0% |
aAGR Annual growth rates
Fig. 2Lorenz Curve of CT at public hospitals in all states and regions of Myanmar (2017). Equity of distribution of CT among states and regions was assessed by Lorenz curve and Gini coefficient was calculated based on Lorenz curve. Lorenz curve showed disparity with equity line. Inequity of distribution of CT among states and regions was observed because Gini coefficient was relatively high
Fig. 3Lorenz Curve of MRI at public hospitals in all states and regions of Myanmar (2017). Equity of distribution of MRI among states and regions was assessed by Lorenz curve and Gini coefficient was calculated based on Lorenz curve. Distribution of MRI among states and regions was varied widely. Lorenz curve had wide disparity with equity line. Gini coefficient was high and approaching near to 1
Population coverage and utilisation of CT and MRI at public hospitals in all states and regions of Myanmar (2017)
| Region/State/Union Territory | Population | CT | MRI | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Number | Coverage per million population | No. of examination | Examination per 1000 population | Number | Coverage per million population | No. of examination | Examination per 1000 population | ||
| Kachin | 1,829,848 | 2 | 1.09 | 1651 | 0.90 | 0 | – | – | – |
| Kayah | 310,214 | 1 | 3.22 | 1449 | 4.67 | 0 | – | – | – |
| Kayin | 1,593,053 | 1 | 0.63 | 2570 | 1.61 | 0 | – | – | – |
| Chin | 508,359 | 1 | 1.97 | 584 | 1.15 | 0 | – | – | – |
| Sagaing | 5,491,170 | 2 | 0.36 | 862 | 0.16 | 0 | – | – | – |
| Tanintharyi | 1,459,952 | 2 | 1.37 | 5059 | 3.47 | 0 | – | – | – |
| Bago | 4,918,821 | 3 | 0.61 | 2769 | 0.56 | 0 | – | – | – |
| Magway | 3,941,237 | 3 | 0.76 | 6475 | 1.64 | 1 | 0.25 | 148 | 0.04 |
| Mandalay | 6,389,390 | 7 | 1.10 | 20,386 | 3.19 | 3 | 0.47 | 2098 | 0.33 |
| Mon | 2,011,428 | 1 | 0.50 | 4797 | 2.38 | 0 | – | – | – |
| Rakhine | 3,300,041 | 1 | 0.30 | 1562 | 0.47 | 0 | – | – | – |
| Yangon | 7,936,637 | 13 | 1.64 | 129,445 | 16.31 | 7 | 0.88 | 13,285 | 1.67 |
| Shan | 6,118,689 | 3 | 0.48 | 3363 | 0.54 | 1 | 0.16 | 163 | 0.03 |
| Ayeyarwady | 6,271,070 | 2 | 0.32 | 2830 | 0.45 | 0 | – | – | – |
| Nay Pyi Taw | 1,238,039 | 3 | 2.42 | 21,768 | 17.58 | 2 | 1.62 | 3287 | 2.66 |
Number of CT and MRI per million population and average growth rates in all states and regions of Myanmar (2015–2017)
| Region/State/Union Territory | CT | MRI | ||||||
|---|---|---|---|---|---|---|---|---|
| 2015 | 2016 | 2017 | AGRa | 2015 | 2016 | 2017 | AGRa | |
| Kachin | 0.57 | 1.11 | 1.09 | 24% | – | – | – | – |
| Kayah | 3.37 | 3.29 | 3.22 | -2% | – | – | – | – |
| Kayin | 0.63 | 0.63 | 0.63 | 0% | – | – | – | – |
| Chin | 0 | 1.99 | 1.96 | −1% | – | – | – | – |
| Sagaing | 0 | 0.18 | 0.36 | 41% | – | – | – | – |
| Tanintharyi | 1.39 | 1.38 | 1.37 | 0% | – | – | – | – |
| Bago | 0.20 | 0.20 | 0.60 | 44% | – | – | – | – |
| Magway | 0.51 | 0.51 | 0.76 | 14% | – | 0.25 | 0.25 | 0% |
| Mandalay | 0.79 | 0.95 | 1.09 | 11% | 0.32 | 0.32 | 0.47 | 14% |
| Mon | 0.49 | 0.49 | 0.49 | 0% | – | – | – | – |
| Rakhine | 0.31 | 0.31 | 0.30 | -1% | – | – | – | – |
| Yangon | 1.44 | 1.67 | 1.64 | 4% | 0.39 | 0.77 | 0.88 | 31% |
| Shan | 0.33 | 0.49 | 0.48 | 13% | – | 0.16 | 0.16 | 0% |
| Ayeyarwady | 0.16 | 0.32 | 0.32 | 26% | – | – | – | – |
| Nay Pyi Taw | 1.67 | 1.64 | 2.42 | 13% | 1.67 | 1.64 | 1.62 | -1% |
aAGR Annual growth rates
Types of CT and MRI at public hospitals in all states and regions of Myanmar (2017)
| Region/State/Union Territory | Types of CT Scan | Types of MRI | |||||||
|---|---|---|---|---|---|---|---|---|---|
| 64 Slices | 16 Slices | 8 Slices | Total | 3.0 Tesla | 1.5 Tesla | 0.4 Tesla | 0.3 Tesla | Total | |
| Kachin | – | 2 | – | 2 | – | – | – | – | 0 |
| Kayah | – | 1 | – | 1 | – | – | – | – | 0 |
| Kayin | – | 1 | – | 1 | – | – | – | – | 0 |
| Chin | – | 1 | – | 1 | – | – | – | – | 0 |
| Sagaing | – | 2 | – | 2 | – | – | – | – | 0 |
| Tanintharyi | – | 2 | – | 2 | – | – | – | – | 0 |
| Bago | – | 3 | – | 3 | – | – | – | – | 0 |
| Magway | 1 | 2 | – | 3 | – | – | 1 | – | 1 |
| Mandalay | 1 | 5 | 1 | 7 | – | 2 | – | 1 | 3 |
| Mon | – | 1 | – | 1 | – | – | – | – | 0 |
| Rakhine | – | 1 | – | 1 | – | – | – | – | 0 |
| Yangon | 6 | 7 | – | 13 | 1 | 5 | 1 | – | 7 |
| Shan | – | 3 | – | 3 | – | 1 | – | – | 1 |
| Ayeyarwady | – | 2 | – | 2 | – | – | – | – | 0 |
| Nay Pyi Taw | 2 | 1 | – | 3 | – | – | 2 | – | 2 |
Age distribution and gender of patients who utilized CT and MRI at public hospitals in Myanmar (2015–2017)
| 2015 | 2016 | 2017 | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| aCT | bMRI | aCT | bMRI | aCT | bMRI | |||||||
| N | % | N | % | N | % | N | % | N | % | N | % | |
| ≤ 15 | 2420 | 10.1 | 130 | 6.9 | 4080 | 11.8 | 317 | 7.2 | 3193 | 7.7 | 432 | 8.1 |
| 16–25 | 2387 | 10.0 | 220 | 11.7 | 3554 | 10.3 | 453 | 10.4 | 4320 | 10.4 | 538 | 10.1 |
| 26–35 | 2731 | 11.4 | 271 | 14.5 | 3881 | 11.3 | 711 | 16.3 | 4883 | 11.8 | 874 | 16.3 |
| 36–45 | 3194 | 13.3 | 380 | 20.3 | 4604 | 13.4 | 824 | 18.8 | 5783 | 13.9 | 903 | 16.9 |
| 46–55 | 4092 | 17.1 | 408 | 21.8 | 5685 | 16.5 | 914 | 20.9 | 6989 | 16.9 | 1102 | 20.6 |
| 56–65 | 4172 | 17.4 | 282 | 15.0 | 6145 | 17.8 | 696 | 15.9 | 7549 | 18.2 | 887 | 16.6 |
| 66–75 | 2800 | 11.7 | 124 | 6.6 | 3996 | 11.6 | 328 | 7.5 | 5541 | 13.4 | 447 | 8.4 |
| ≥ 76 | 1672 | 7.0 | 48 | 2.6 | 2284 | 6.6 | 121 | 2.8 | 3012 | 7.3 | 148 | 2.8 |
| Unknown | 499 | 2.1 | 11 | 0.6 | 250 | 0.7 | 9 | 0.2 | 205 | 0.5 | 15 | 0.3 |
| Male | 14,306 | 59.7 | 986 | 52.6 | 20,169 | 58.5 | 2176 | 49.8 | 23,761 | 57.3 | 2457 | 46.0 |
| Female | 9660 | 40.3 | 888 | 47.4 | 14,284 | 41.4 | 2197 | 50.2 | 17,701 | 42.7 | 2889 | 54.0 |
| Unknown | 1 | 0.0 | 26 | 0.1 | 13 | 0.0 | ||||||
a Age and gender data of CT scan examination were not available for Yangon General Hospital and Mandalay General Hospital
b Age and gender data of MRI Examination were not available for Yangon General Hospital
Utilisation of CT by examination region at public hospitalsb in Myanmar (2015–2017)
| Region of body examined | 2015 | 2016 | 2017 | |||
|---|---|---|---|---|---|---|
| N | % | N | % | N | % | |
| aCranial/Head | 14,388 | 60.0 | 20,935 | 60.7 | 24,384 | 58.8 |
| Head & neck | 356 | 1.5 | 466 | 1.4 | 479 | 1.2 |
| Head & other region | 428 | 1.8 | 321 | 0.9 | 822 | 2.0 |
| Whole spine | 11 | 0.0 | 11 | 0.0 | 14 | 0.0 |
| Cervical spine | 112 | 0.5 | 140 | 0.4 | 212 | 0.5 |
| Thoracic spine &Thoraco-lumbar spine | 79 | 0.3 | 160 | 0.5 | 221 | 0.5 |
| Lumbar spine &Lumbo-sacral spine | 65 | 0.3 | 134 | 0.4 | 257 | 0.6 |
| Abdominal and/or pelvic | 4159 | 17.4 | 6160 | 17.9 | 7130 | 17.2 |
| Thorax and other region | 3485 | 14.5 | 4912 | 14.2 | 5821 | 14.0 |
| Body (thorax and abdomen) | 60 | 0.3 | 185 | 0.5 | 343 | 0.8 |
| Whole body | 1 | 0.0 | 3 | 0.0 | 1 | 0.0 |
| Pelvis | 24 | 0.1 | 73 | 0.2 | 88 | 0.2 |
| Angiogram | 93 | 0.4 | 117 | 0.3 | 202 | 0.5 |
| Limbs/Joints | 77 | 0.3 | 111 | 0.3 | 235 | 0.6 |
| Other | 629 | 2.6 | 751 | 2.2 | 1266 | 3.1 |
aCT examination of cranial/head region accounted (n = 25,252, 74.89%) of all examination (n = 33,720) in regional level hospitals
bData were not available for Yangon General Hospital and Mandalay General Hospital
Utilisation of MRI by examination region at public hospitalsa in Myanmar (2015–2017)
| Region of body examined | 2015 | 2016 | 2017 | |||
|---|---|---|---|---|---|---|
| N | % | N | % | N | % | |
| Brain/Head | 529 | 28.2 | 983 | 22.5 | 1486 | 27.8 |
| Whole spine | 12 | 0.6 | 67 | 1.5 | 18 | 0.3 |
| Cervical spine | 312 | 16.6 | 499 | 11.4 | 748 | 14.0 |
| Thoracic spine &Thoraco-lumbar spine | 211 | 11.3 | 473 | 10.8 | 440 | 8.2 |
| Lumbar spine | 533 | 28.4 | 1546 | 35.4 | 1650 | 30.9 |
| Abdominal and/or pelvic | 35 | 1.9 | 145 | 3.3 | 262 | 4.9 |
| Pelvic | 49 | 2.6 | 69 | 1.6 | 78 | 1.5 |
| Both hips | 11 | 0.6 | 103 | 2.4 | 79 | 1.5 |
| Thorax | 43 | 2.3 | 10 | 0.2 | 30 | 0.6 |
| Limbs/Joints | 77 | 4.1 | 292 | 6.7 | 304 | 5.7 |
| MRCP | 39 | 2.1 | 51 | 1.2 | 78 | 1.5 |
| MRV/MRA | 3 | 0.2 | 10 | 0.2 | 19 | 0.4 |
| Other | 20 | 1.1 | 125 | 2.9 | 154 | 2.9 |
aData were not available for Yangon General Hospital; MRCP Magnetic resonance cholangiopancreatography, MRV Magnetic resonance venography, MRA Magnetic resonance angiography
Performance of CT and MRI in Myanmar by level of public hospitals (2015–2017)
| Level of hospitals | CT | MRI | ||||
|---|---|---|---|---|---|---|
| Cumulative number | Number of examination | Number examinations per CT | Cumulative number | Number of examination | Number of examinations per MRI | |
| 2015 | 19 | 41,096 | 2162.94 | 7 | 6120 | 874.29 |
| 2016 | 22 | 56,127 | 2551.22 | 11 | 6057 | 550.64 |
| 2017 | 24 | 74,627 | 3109.45 | 13 | 6656 | 512.00 |
| Sub-total | 24 | 171,850 (83.6%) | 7160.41 | 13 | 18,833 (99.2%) | 1488.69 |
| 2015 | 12 | 7524 | 627.00 | |||
| 2016 | 17 | 11,834 | 696.11 | 1 | 25 | 25.00 |
| 2017 | 21 | 14,362 | 683.90 | 1 | 123 | 123.00 |
| Sub-total | 21 | 33,720 (16.4%) | 1584.29 | 1 | 148 (0.8%) | 148.00 |