Junior doctors' medical specialty and practice location choice: simulating policies to overcome regional inequalities

Carregando...
Imagem de Miniatura
Citações na Scopus
6
Tipo de produção
article
Data de publicação
2017
Título da Revista
ISSN da Revista
Título do Volume
Editora
SPRINGER
Autores
ALVES, Helio
GUIMARAES, Paulo
FERREIRA, Maria A.
Citação
EUROPEAN JOURNAL OF HEALTH ECONOMICS, v.18, n.8, p.1013-1030, 2017
Projetos de Pesquisa
Unidades Organizacionais
Fascículo
Resumo
There are nowadays over 1 million Portuguese who lack a primary care physician. By applying a discrete choice experiment to a large representative sample of Portuguese junior doctors (N = 503) in 2014, we provide an indication that this shortage may be addressed with a careful policy design that mixes pecuniary and non-pecuniary incentives for these junior physicians. According to our simulations, a policy that includes such incentives may increase uptake of general practitioners (GPs) in rural areas from 18% to 30%. Marginal wages estimated from our model are realistic and close to market prices: an extra hour of work would require an hourly wage of 16.5a,notsign; moving to an inland rural setting would involve an increase in monthly income of 1.150a,notsign (almost doubling residents' current income); a shift to a GP career would imply an 849a,notsign increase in monthly income. Additional opportunities to work outside the National Health Service overcome an income reduction of 433a,notsign. Our simulation predicts that an income increase of 350a,notsign would lead to a 3 percentage point increase in choice probability, which implies an income elasticity of 3.37, a higher estimation compared to previous studies.
Palavras-chave
Medical specialty choice, Discrete choice experiment, Location decision, Rural uptake policies, Portugal
Referências
  1. Ageing A.D.O.H.A., 2005, AG
  2. Garcia-Perez MA, 2009, REV ESP SALUD PUBLIC, V83, P243, DOI 10.1590/s1135-57272009000200008
  3. Barros Pedro Pita, 2011, Health Syst Transit, V13, P1
  4. BAUMGARDNER JR, 1988, J POLIT ECON, V96, P509, DOI 10.1086/261549
  5. Bodenheimer T, 2010, HEALTH AFFAIR, V29, P799, DOI 10.1377/hlthaff.2010.0026
  6. Crabbe M, 2012, J CHOICE MODEL, V5, P22
  7. Cu YY, 2013, STATA J, V13, P382
  8. De Souza J.C., 2001, REV PORTUGUESA SAUDE, V2, P63
  9. Fiebig DG, 2011, HEALTH ECON, V20, P35, DOI 10.1002/hec.1686
  10. Fiebig DG, 2010, MARKET SCI, V29, P393, DOI 10.1287/mksc.1090.0508
  11. Gachter M, 2012, HEALTH POLICY, V106, P257, DOI 10.1016/j.healthpol.2012.04.012
  12. Gagne R, 2005, HEALTH ECON, V14, P721, DOI 10.1002/hec.970
  13. Goddard M, 2010, J HEALTH SERV RES PO, V15, P28, DOI 10.1258/jhsrp.2009.009003
  14. Gravelle H, 2001, J Health Serv Res Policy, V6, P6, DOI 10.1258/1355819011927143
  15. Grobler L, 2009, COCHRANE DB SYST REV, DOI 10.1002/14651858.CD005314.pub2
  16. Grol R, 2006, HEALTH AFFAIR, V25, P1733, DOI 10.1377/hlthaff.25.6.1733
  17. Gunther OH, 2010, HEALTH SERV RES, V45, P212, DOI 10.1111/j.1475-6773.2009.01045.x
  18. Hancock C, 2009, SOC SCI MED, V69, P1368, DOI 10.1016/j.socscimed.2009.08.002
  19. Hole AR, 2008, J HEALTH ECON, V27, P1078, DOI 10.1016/j.jhealeco.2007.11.006
  20. Hole AR, 2007, HEALTH ECON, V16, P827, DOI 10.1002/hec.1197
  21. Hole AR, 2012, EMPIR ECON, V42, P445, DOI 10.1007/s00181-011-0500-1
  22. Holte JH, 2015, SOC SCI MED, V128, P1, DOI 10.1016/j.socscimed.2014.12.022
  23. Isabel C, 2010, EUR J HEALTH ECON, V11, P383, DOI 10.1007/s10198-009-0208-8
  24. Jarman BT, 2009, J SURG EDUC, V66, P222, DOI 10.1016/j.jsurg.2009.07.003
  25. Johnson FR, 2013, VALUE HEALTH, V16, P3, DOI 10.1016/j.jval.2012.08.2223
  26. Kolstad JR, 2011, HEALTH ECON, V20, P196, DOI 10.1002/hec.1581
  27. KRISTIANSEN IS, 1992, SOC SCI MED, V34, P57, DOI 10.1016/0277-9536(92)90067-Z
  28. KUHFELD WF, 1994, J MARKETING RES, V31, P545, DOI 10.2307/3151882
  29. Lagarde M, 2013, HEALTH ECON, V22, P1452, DOI 10.1002/hec.2897
  30. Li JH, 2014, SOC SCI MED, V121, P56, DOI 10.1016/j.socscimed.2014.09.053
  31. Mantzavinis Georgios, 2003, Lakartidningen, V100, P4294
  32. Matsumoto M, 2010, HEALTH POLICY, V95, P129, DOI 10.1016/j.healthpol.2009.11.012
  33. NEWHOUSE JP, 1990, ANNU REV PUBL HEALTH, V11, P207
  34. Nicholson S, 2002, J LABOR ECON, V20, P816, DOI 10.1086/342039
  35. Nigenda G, 1997, HEALTH POLICY, V39, P107, DOI 10.1016/S0168-8510(96)00864-0
  36. Ono T., 2014, GEOGRAPHIC IMBALANCE
  37. Póvoa Luciano, 2006, Cad. Saúde Pública, V22, P1555, DOI 10.1590/S0102-311X2006000800004
  38. Roeger LS, 2010, AUST J PRIM HEALTH, V16, P284, DOI 10.1071/PY10021
  39. Santana P., 2013, ESTUDO EVOLUC PROS
  40. Santana P, 2014, ACTA MEDICA PORT, V27, P246
  41. Scott A, 2001, J HEALTH ECON, V20, P329, DOI 10.1016/S0167-6296(00)00083-7
  42. Scott A, 2013, SOC SCI MED, V96, P33, DOI 10.1016/j.socscimed.2013.07.002
  43. Sivey P, 2012, J HEALTH ECON, V31, P813, DOI 10.1016/j.jhealeco.2012.07.001
  44. Smits M, 2012, SCAND J PRIM HEALTH, V30, P206, DOI 10.3109/02813432.2012.735553
  45. Steele MT, 1998, ANN EMERG MED, V31, P351, DOI 10.1016/S0196-0644(98)70346-4
  46. Theodorakis Pavlos N, 2006, Hum Resour Health, V4, P5, DOI 10.1186/1478-4491-4-5
  47. Thornton J, 2003, HEALTH ECON, V12, P67, DOI 10.1002/hec.682
  48. Ubach C, 2003, BRIT MED J, V326, P1432, DOI 10.1136/bmj.326.7404.1432
  49. Unal E, 2015, INT J EQUITY HEALTH, V14, DOI 10.1186/s12939-014-0131-1
  50. Wanzenried G, 2008, SWISS J EC STAT, V144, P247
  51. Wong SF, 2014, BMJ OPEN, V4, DOI 10.1136/bmjopen-2014-006661