2025, Number 1
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salud publica mex 2025; 67 (1)
Internal migration seeking medical care for prostate cancer
Hernández-Pérez JG, Reyes-Morales H, Lajous M, Arenas P, Rodríguez-Covarrubias F, Manzanilla-García H, Mohar A,Torres-Sánchez L
Language: English
References: 25
Page: 39-47
PDF size: 1197.49 Kb.
ABSTRACT
Objective. To characterize the migratory flow of Mexican
men affiliated to
Seguro Popular (SP) seeking medical care
for prostate cancer (PC).
Materials and methods. The
administrative base for the treatment of incident CP (5 526
men) funded by the SP (2012-2016) was used. Oncological
risk at diagnosis (low, intermediate, high) was estimated based
on prostate-specific antigen, Gleason score, and clinical stage.
Spatial network analysis and centrality measures were used
to identify the health migratory flow.
Results. 1 369 men
sought treatment outside their state of residence, all of them
with a diagnosis of PC (25%), mainly ‹65 years of age, highrisk
PC, and residents of highly marginalized municipalities.
Throughout the study period, Mexico City (closeness-in=
0.34) received the largest number of patients (importancein=
1 082) from 26 different states (degree-in= 26). This flow
was more evident in patients with a high-risk PC, mainly
towards hospitals with a high degree of specialization in
cancer.
Conclusions. A centralized migration (with two
potential migration patterns) in search of treatment for PC
was observed, mainly in men with high-risk PC.
REFERENCES
Dos-Santos-Silva I, Gupta S, Orem J, Shulman LN. Global disparitiesin access to cancer care. Commun Med. 2022;2(1):31. https://doi.org/10.1038/s43856-022-00097-5
Athanasakis K, Souliotis K, Kyriopoulos EJ, Loukidou E, Kritikou P, KyriopoulosJ. Inequalities in access to cancer treatment: an analysis of crossregionalpatient mobility in Greece. Supp Care Cancer. 2012;20(3):455-60.https://doi.org/10.1007/s00520-011-1093-0
Berta P, Martini G, Spinelli D, Vittadini G. The beaten paths effect onpatient inter-regional mobility: an application to the Italian NHS. PapersReg Sci. 2022;101(4):945-7. https://doi.org/10.1111/pirs.12678
Koylu C, Delil S, Guo D, Celik RN. Analysis of big patient mobility datafor identifying medical regions, spatio-temporal characteristics and caredemands of patients on the move. Int J Health Geogr. 2018;17(32). https://doi.org/10.1186/s12942-018-0152-x
Messina G, Vigiani N, Lispi L, Nante N. Patient migration among theItalian regions in 2003. Italian J Public Health. 2008;5(1):45-52. https://doi.org/10.2427/5854
Aggarwal A, Han L, Sullivan R, Haire K, Sangar V, van der Meulen J.Managing the cancer backlog: a national population-based study of patientmobility, waiting times and ‘spare capacity’ for cancer surgery. Lancet RegHealth. 2023;30:100642. https://doi.org/10.1016/j.lanepe.2023.100642
Aggarwal A, Lewis D, Charman SC, Mason M, Clarke N, Sullivan R, et al.Determinants of patient mobility for prostate cancer surgery: a population-based study of choice and competition. Eur Urol. 2018;73(6):822-5.https://doi.org/10.1016/j.eururo.2017.07.013
Wiese D, Lynch SM, Stroup AM, Maiti A, Harris G, Vucetic S, et al. Examiningsocio-spatial mobility patterns among colon cancer patients afterdiagnosis. SSM Popul Health. 2022;17:101023. https://doi.org/10.1016/j.ssmph.2022.101023
LaPelusa M, Verduzco-Aguirre H, Diaz F, Aldaco F, Soto-Perez-de-Celis E.Cross-border utilization of cancer care by patients in the US and Mexico– a survey of Mexican oncologists. Global Health. 2023;19(1):78. https://doi.org/10.1186/s12992-023-00983-0
Lightfoot N, Steggles S, Gauthier-Frohlick D, Arbour-Gagnon R,Conlon M, Innes C, et al. Psychological, physical, social, and economicimpact of travelling great distances for cancer treatment. Curr Oncol.2005;12(4):156-62. https://doi.org/10.3390/curroncol12040005
Vetterlein MW, Löppenberg B, Karabon P, Dalela D, Jindal T, Sood A, etal. Impact of travel distance to the treatment facility on overall mortalityin US patients with prostate cancer. Cancer. 2017;123(17):3241-52. https://doi.org/10.1002/cncr.30744
Turner M, Carriere R, Fielding S, Ramsay G, Samuel L, Maclaren A, et al.The impact of travel time to cancer treatment centre on post-diagnosiscare and mortality among cancer patients in Scotland. Health Place.2023;84:103139. https://doi.org/10.1016/j.healthplace.2023.103139
Vindrola-Padros C, Brage E, Chambers P. On the road and away fromhome: a systematic review of the travel experiences of cancer patientsand their families. Supp Care Cancer. 2018;26(9):2973-82. https://doi.org/10.1007/s00520-018-4266-2
Beltran-Ontiveros SA, Fernandez-Galindo MA, Moreno-Ortiz JM,Contreras-Gutierrez JA, Madueña-Molina J, Arambula-Meraz E, et al.Incidence, mortality, and trends of prostate cancer in Mexico from 2000to 2019: results from the Global Burden of Disease Study 2019. Cancers.2022;14(13):3184. https://doi.org/10.3390/cancers14133184
Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, et al.Global Cancer Observatory: Cancer today (version 1.1). Lyon: InternationalAgency for Research on Cancer, 2024 [cited August 13, 202]. Availablefrom: https://gco.iarc.who.int/today
Torres-Sánchez L, Hernández-Pérez JG, Escamilla-Nuñez C, Rodríguez-Covarrubias F, Manzanilla-García H, Mohar A, et al. Disparities on prostatecancer survival in Mexico: a retrospective cohort study. Salud Publica Mex.2023;65(3):236-44. https://doi.org/10.21149/14266
González-Pier E, Barraza-Lloréns M, Gutiérrez-Delgado C, Vargas-Palacios A. Sistema de Protección Social en Salud. Elementos conceptuales,financieros y operativos. Mexico: FCE, Secretaría de Salud, FundaciónMexicana para la Salud, Instituto Nacional de Salud Pública, 2007.
Graham J, Baker M, Macbeth F, Titshall V. Diagnosis and treatment ofprostate cancer: summary of NICE guidance. BMJ. 2008;336(7644):610-2.https://doi.org/10.1136/bmj.39498.525706.AD
Consejo Nacional de Población. Índices de Marginación 2015. Mexico:Conapo, 2015 [cited April 9, 2023]. Available from: https://www.gob.mx/conapo/documentos/indice-de-marginacion- 2015-284579
Csárdi G, Nepusz T, Müller K, Horvát S, Traag V, Zanini F, et al. igraph forR: R interface of the igraph library for graph theory and network analysis.Geneva: Zenodo, 2024 [cited April 9, 2023]. Available from: https://zenodo.org/records/10681749
Hernández-Pérez JG, Reyes-Morales H, Lajous M, Arenas P, Rodríguez-Covarrubias F, Manzanilla-García H, et al. Supplemental material “Internalmigration of men affiliated to the public health insurance systemin Mexico seeking medical care for prostate cancer.” Mexico: figshare,2024 [cited August 15, 202]. Available from: https://figshare.com/articles/journal_contribution/_b_Supplemental_Material_Internal_Migration_seeking_medical_care_for_prostate_cancer_among_males_affiliated_to_Seguro_Popular_b_/26688559/3
Cubero DIG, de Melo-Sette CV, de Camargo-Preto Piscopo B, deArruda-Monteiro CR, Maselli-Schoueri JH, de Andrade Tavares HD, et al.Epidemiological profile of Brazilian oncological patients seen by a referenceoncology center of the public health system and who migrate in search ofadequate health care. Rev Assoc Med Bras. 2018;64(9):814-8. https://doi.org/10.1590/1806-9282.64.09.814
Balzano G, Guarneri G, Pecorelli N, Partelli S, Crippa S, Vico A, et al.Geographical disparities and patients’ mobility: a plea for regionalizationof pancreatic surgery in Italy. Cancers. 2023;15(9):2429. https://doi.org/10.3390/cancers15092429
Consejo Nacional de Evaluación de la Política de Desarrollo Social.El Sistema de Protección Social en Salud: resultados y diagnóstico decierre. Mexico: Coneval, 2020 [cited July 31, 2023]. Available from: https://www.coneval.org.mx/EvaluacionDS/PP/CEIPP/IEPSM/Documents/analisis_spss_2020.pdf
Glinos IA, Baeten R, Helble M, Maarse H. A typology of crossborderpatient mobility. Health Place. 2010;16(6):1145-55. https://doi.org/10.1016/j.healthplace.2010.08.001