| Literature DB >> 32405186 |
Ramdas S Ransing1, Girish Agrawal2, Koustubh Bagul3, Krishna Pevekar1.
Abstract
Background The delivery of mental health services largely depends on the adequacy of human resources. In India, the deficit of psychiatrists is more than 90% and is one of the major challenges that needs to be tackled to address the huge burden of mental illness. Psychiatry trainee institutes play a vital role in reducing human resource deficit and inequality in delivering mental health care. However, the distribution pattern of psychiatry trainee seats and institutes across Indian states is unknown. Therefore, we estimated the number of psychiatry trainee seats and institutes in each Indian state and union territory (UT). Materials and Methods In this cross-sectional study, psychiatry trainee seats and institutes were searched on the official web sites of Medical Council of India and National Board of Examinations. The data available on these web sites until December 2019 were included. State-wise data were compared using proportion and percentages. The psychiatry trainee index (PTI) was calculated and compared across Indian states and UTs. Results Among 221 Indian psychiatry trainee institutes considered in the present study, 116 (52.48%) were private institutes and 105 (47.51%) were government institutes. Overall, more psychiatry trainee seats were reported in government institutes ( n = 565, 65.89%) than in private institutes. National PTI was considered fair (0.06), and based on their PTIs, Indian states and UTs were classified as follows: worst ( n = 9), poor ( n = 8), fair ( n = 9), average ( n = 7), good ( n = 1), and excellent ( n = 2). Conclusion A huge deficit of psychiatry trainees and institutes exists in more than two-thirds of Indian states and UTs, along with a huge maldistribution of seats. PTI and its distribution across the states and UTs are a crucial indicator of the need to improve the access and equity of mental health care.Entities:
Keywords: India; deficit; education; psychiatry; trainee
Year: 2020 PMID: 32405186 PMCID: PMC7214092 DOI: 10.1055/s-0040-1709973
Source DB: PubMed Journal: J Neurosci Rural Pract ISSN: 0976-3155
Fig. 1Methodology flow chart. AIIMS, All India Institute of Medical Sciences; DM, Doctorate of Medicine; DNB, Diplomate of National Board; DPM, Diploma in Psychological Medicine; MCI, Medical Council of India; MD, Doctor of Medicine; NBE, National Board of Examinations.
Psychiatry trainee index formula
| PTI for a state = number of psychiatry trainee seats in the state per year × 100,000/population of the respective state |
| PTI for the country = number of psychiatry trainee seats in the country per year × 100,000/population of the country |
Distribution of psychiatry training institutes, trainee seats, population and psychiatry trainee index across Indian states and union territories
| States | Number of psychiatry training institutes | Post graduate psychiatry trainee seats | Population as per 2018 UIDAI | Psychiatry trainee index | ||||
|---|---|---|---|---|---|---|---|---|
|
Total (
| Government | Private |
Total (
| Government | Private | |||
| Abbreviation: UIDAI, unique identification authority of India. | ||||||||
| Uttar Pradesh | 14 | 5 (35.71) | 9 (64.28) | 51 | 30 (58.82) | 21 (41.17) | 228,959,599 | 0.022 |
| Maharashtra | 26 | 11 (42.30) | 15 (57.69) | 85 | 47 (55.29) | 38 (44.70) | 120,837,347 | 0.070 |
| Bihar | 3 | 2 (66.66) | 1 (33.34) | 3 | 2 (66.67) | 1 (33.33) | 119,461,013 | 0.0025 |
| West Bengal | 9 | 8 (88.88) | 1 (11.12) | 31 | 29 (93.55) | 2 (6.45) | 97,694,960 | 0.0409 |
| Madhya Pradesh | 7 | 3 (42.86) | 4 (57.14) | 24 | 13 (54.17) | 11 (45.83) | 82,342,793 | 0.0267 |
| Rajasthan | 9 | 6 (66.67) | 3 (33.33) | 28 | 22 (78.57) | 6 (21.43) | 78,230,816 | 0.0639 |
| Tamil Nadu | 21 | 10 (47.61) | 11 (52.38) | 87 | 52 (59.77) | 35 (40.23) | 76,481,545 | 0.113 |
| Karnataka | 27 | 5 (18.51) | 22 (81.48) | 124 | 59 (47.58) | 65 (52.41) | 66,165,886 | 0.187 |
| Gujarat | 14 | 11 (78.57) | 3 (21.42) | 45 | 38 (84.44) | 7 (15.55) | 63,907,200 | 0.070 |
| Andhra Pradesh | 15 | 3 (20.00) | 12 (80.00) | 55 | 25 (45.45) | 30 (54.55) | 52,883,163 | 0.104 |
| Odisha | 4 | 2 (50.00) | 2 (50.00) | 13 | 7 (53.85) | 6 (46.15) | 45,429,399 | 0.028 |
| Telangana | 13 | 4 (30.76) | 9 (69.23) | 42 | 21 (50.00) | 21 (50.00) | 38,472,769 | 0.109 |
| Jharkhand | 3 | 3 (100.00) | 0 (0.00) | 29 | 29 (100.00) | 0 (0.00) | 37,329,128 | 0.077 |
| Kerala | 18 | 8 (44.44) | 10 (55.55) | 56 | 33 (58.92) | 23 (41.07) | 35,330,888 | 0.158 |
| Assam | 4 | 4 (100) | 0 (0) | 30 | 30 (100.00) | 0 (0.00) | 34,586,234 | 0.0868 |
| Punjab | 5 | 4 (80.00) | 1 (20.00) | 15 | 12 (80.00) | 3 (20.00) | 29,611,935 | 0.0506 |
| Chhattisgarh | 0 | 0 (0.00) | 0 (0.00) | 0 | 0 (0.00) | 0 (0.00) | 28,566,990 | 0 |
| Haryana | 3 | 1 (33.33) | 2 (66.67) | 17 | 12 (70.59) | 5 (29.41) | 27,388,008 | 0.062 |
| Delhi a | 8 | 6 (75.00) | 2 (25.00) | 63 | 61 (96.82) | 2 (3.17) | 18,345,784 | 0.34 |
| Jammu and Kashmir ab | 2 | 2 (100.00) | 0 (0.00) | 11 | 11 (100.00) | 0 (0.00) | 13,635,010 | 0.080 |
| Uttarakhand | 2 | 0 (0.00) | 2 (100.00) | 4 | 0 (0.00) | 4 (100.00) | 11,090,425 | 0.036 |
| Himachal Pradesh | 2 | 1 (50.00) | 1 (50.00) | 5 | 3 (60.00) | 2 (40.00) | 7,316,708 | 0.068 |
| Tripura | 1 | 1 (100.00) | 0 (0.00) | 3 | 3 (100.00) | 0 (0.00) | 4,057,847 | 0.073 |
| Meghalaya | 0 | 0 (0.00) | 0 (0.00) | 0 | 0 (0.00) | 0 (0.00) | 3,276,323 | 0 |
| Manipur | 1 | 1 (100.00) | 0 (0.00) | 3 | 3 (100.00) | 0 (0.00) | 3,008,546 | 0.099 |
| Nagaland | 0 | 0 (0.00) | 0 (0.00) | 0 | 0 (0.00) | 0 (0.00) | 2,189,297 | 0 |
| Goa | 1 | 1 (100.00) | 0 (0.00) | 8 | 8 (100.00) | 0 (0.00) | 1,542,750 | 0.51 |
| Arunachal Pradesh | 0 | 0 (0.00) | 0 (0.00) | 0 | 0 (0.00) | 0 (0.00) | 1,528,296 | 0 |
| Puducherry a | 6 | 1 (16.66) | 5 (83.33) | 15 | 4 (26.67) | 11 (73.33) | 1,375,592 | 1.09 |
| Mizoram | 0 | 0 (0.00) | 0 (0.00) | 0 | 0 (0.00) | 0 (0.00) | 1,205,974 | 0 |
| Chandigarh a | 2 | 2 (100.00) | 0 (0.00) | 18 | 18 (100.00) | 0 (0.00) | 1,126,705 | 1.59 |
| Sikkim | 1 | 0 (0.00) | 1 (100.00) | 3 | 0 (0.00) | 3 (100.00) | 671,720 | 0.446 |
| Andaman and Nicobar Islands a | 0 | 0 (0.00) | 0 (0.00) | 0 | 0 (0.00) | 0 (0.00) | 419,978 | 0 |
| Dadra and Nagar Haveli a | 0 | 0 (0.00) | 0 (0.00) | 0 | 0 (0.00) | 0 (0.00) | 378,979 | 0 |
| Daman and Diu a | 0 | 0 (0.00) | 0 (0.00) | 0 | 0 (0.00) | 0 (0.00) | 220,084 | 0 |
| Lakshadweep a | 0 | 0 (0.00) | 0 (0.00) | 0 | 0 (0.00) | 0 (0.00) | 71,218 | 0 |
| Total | 221 | 105 (47.51) | 116 (52.48) | 868 | 572 (65.89) | 296 (34.10) | 1,335,140,909 | 0.065 |
Categorization of the states and union territories on the basis of PTI (psychiatry training seats/per 0.1 million population)
| Grades, no. of states | PTI classification | States and UTs |
|---|---|---|
| Abbreviations: PTI, psychiatry trainee index; UT, union territory. | ||
|
Worst (
| 0.00-0.0009 | Chhattisgarh, Meghalaya, Nagaland, Arunachal Pradesh, Mizoram, Andaman and Nicobar Islands, Dadra and Nagar Haveli, Daman and Diu, Lakshadweep |
|
Poor (
| 0.001–0.049 | Bihar, Uttar Pradesh, Odisha, Madhya Pradesh, West Bengal, Rajasthan, Uttarakhand, Punjab |
|
Fair (
| 0.05–0.099 | Haryana, Gujarat, Himachal Pradesh, Maharashtra, Tripura, Jharkhand, Jammu and Kashmir, Assam, Manipur |
|
Average (
| 0.1–0.5 | Andhra Pradesh, Telangana, Tamil Nadu, Kerala, Karnataka, Delhi, Sikkim, |
|
Good (
| 0.5–0.99 | Goa |
|
Excellent (
| >1.0 | Puducherry, Chandigarh |
Fig. 2Categorization of the states and union territories on the basis of PTI. PTI, psychiatry trainee index.
Trainee seats and requirement of staff/psychiatrists (MCI/NBE regulation)
| The type of psychiatry trainee seat: number of psychiatrists required |
|---|
| Abbreviations: DNB. Diplomate of National Board; MCI, Medical Council of India; MD, Doctor of Medicine; NBE, National Board of Examinations. |
| MD seat: total (4): professor (1), associate professor(1), assistant professor(1), and senior resident (1) |
| DNB seat: Total (4): senior consultant (1), junior consultant (1), and senior resident (2) |
The PTI and possible interventions for improvement
| PTI | Recommended interventions for policymakers and stakeholders |
|---|---|
| Abbreviations: DNB. Diplomate of National Board; MD, Doctor of Medicine; PG, postgraduate; PPP, private–public partnership; PTI, psychiatry trainee index. | |
| Worst to poor | Provision of training support from national institutes (reservation in MD/DNB seats in national institutes) and training of primary healthcare physicians, strengthening of existing infrastructure for future (long-term–ideal), and implementation of PPP models, central government–state government private model, project ECHO, healthcare worker-based collaborative models, and Bellary model, and availability of an in-service quota for PG seats |
| Fair to average | Provision of training for primary healthcare physicians; strengthening of existing infrastructure; implementation of PPP models, project ECHO, healthcare worker-based collaborative models, and Bellary model; and availability of in-service quota for PG seats, and fellowship or short-term training programs in specialties of psychiatry such as addiction and geriatric psychiatry (based on disease burden) |
| Good to excellent | Initiation of training activities to support states with a poor PTI; increase in specialty of the fellowship course in disorder-prevalent areas; implementation of the Bellary model; and start specialty courses such as MD or fellowship in addiction psychiatry, geriatric psychiatry, and child and adolescent psychiatry |
Recommendation to stakeholders and policymakers on the basis of state-specific trends of the PTI and burden of mental disorders (with examples)
| States | Prevalence of mental disorders 1 | PTI | Suggested strategies |
|---|---|---|---|
| Abbreviations: DNB. Diplomate of National Board; MD, Doctor of Medicine; PG, postgraduate; PPP, private–public partnership; PTI, Psychiatry Trainee Index. | |||
| Kerala, Tamil Nadu, and Andhra Pradesh | Depressive disorder (>3,750/100,000) | Average | Interventions to reduce the disease-specific burden: provision of disease-specific training during PG courses; support to states having lower PTIs and higher disease burden (e.g., Orissa) through the central government–state government model in training; start of fellowship courses in mood disorders; and provision of opportunities for research |
| Odisha | Depressive disorder (>3,750/100,000) | Poor | Intervention to improve the PTI: provision of training support from national institutes (reservation in MD/DNB seats in national institutes); implementation of PPP PG training models; and availability of in-service quota for PG seats |
| Uttar Pradesh, Madhya Pradesh, Bihar, and Assam | Idiopathic developmental intellectual disability (prevalence > 5,000 per 100,000) | Poor to fair (Assam) | Intervention to improve the PTI: provision of training support from national institutes (reservation in MD/DNB seats in national institutes); implementation of PPP PG training models; and availability of in-service quota for PG seats |
| Sikkim and Kerala | Prevalence < 3,000 per 100,000) | Average | Provision of training support to PG students from poor to low PTI states and higher disease prevalence; focus on disorders or conditions prevalent in a state (e.g., depression); development of a brief intervention |