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2026, Number 1

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salud publica mex 2026; 68 (1)

A multi-dimensional index of rurality in Chile and its association with infant and neonatal mortality

Flores-Angulo C, Marshall G, Ferreccio C, Ramis R, Gómez-Barroso D, Cerda J
Full text How to cite this article

Language: Spanish
References: 47
Page: 52-61
PDF size: 507.10 Kb.


Key words:

rurality, infant mortality, neonatal mortality, spatial disparities, Index of Relative Rurality, Chile.

ABSTRACT

Objective. To construct a multi-dimensional Index of Relative Rurality (IRR) for Chile and assess its association with infant and neonatal mortality. Materials and methods. A cross-sectional analysis was conducted using data from 343 municipalities. The IRR was calculated using four standardized components—population size, population density, urban population proportion, and travel time to servicerich areas—to reflect the complexity of rurality in Chile. Associations between the IRR and mortality outcomes were evaluated using negative binomial regression and generalized additive models. Results. A rurality threshold was identified at approximately IRR= 0.404, beyond which the risk of infant and neonatal mortality increased notably. Municipalities with IRR values ›0.50 showed elevated risks of infant mortality (RR: 1.18; 95%CI: 1.01,1.38) and neonatal mortality (RR: 1.27; 95%CI: 1.06,1.50), compared to more urban areas. While the official classification defined nearly half of municipalities as rural, the IRR captured a smaller, more specific subset of municipalities with higher mortality risk—particularly in southern macrozones. Conclusions. The IRR offers a more precise and data-driven approach to characterizing rurality and identifying health disparities. Its continuous design improves the detection of high-risk populations and challenges the overgeneralization of current classifications. These findings support the use of the IRR to inform targeted public health interventions and equitable policy planning.


REFERENCES

  1. Nelson KS, Nguyen TD, Brownstein NA, Garcia D, Walker HC, WatsonJT, et al. Definitions, measures, and uses of rurality: a systematic reviewof the empirical and quantitative literature. J Rural Stud. 2021;82:351-65.https://doi.org/10.1016/j.jrurstud.2021.01.035

  2. Nelson KS, Nguyen TD. Community assets and relative rurality index:a multi-dimensional measure of rurality. J Rural Stud. 2023;97:322-33.https://doi.org/10.1016/j.jrurstud.2022.12.025

  3. Lourenço AEP. The meaning of ‘rural’ in rural health: a review and casestudy from Brazil. Glob Public Health. 2012;7(1):1-13. https://doi.org/10.1080/17441692.2011.552513

  4. Virgil SM. Community economic development and rural America:strategies for community-based collaborative development. J AffordHous Cmty Dev Law. 2010;20(1):9-31 [cited Sep 6, 2024]. Availablefrom: https://heinonline.org/HOL/LandingPage?handle=hein.journals/jrlaff20&div=7

  5. Weeks WB, Chang JE, Pagán JA, Lumpkin J, Michael D, Salcido S, et al.Rural-urban disparities in health outcomes, clinical care, health behaviors,and social determinants of health and an action-oriented, dynamic tool forvisualizing them. PLOS Glob Public Health. 2023;3(10):e0002420. https://doi.org/10.1371/journal.pgph.0002420

  6. Ondusko DS, Liu J, Hatch B, Profit J, Carter EH. Associations betweenmaternal residential rurality and maternal health, access to care, and verylow birthweight infant outcomes. J Perinatol. 2022;42(12):1592-9. https://doi.org/10.1038/s41372-022-01456-9

  7. San Martín D, Sabando V, Germain A, Pons A. Causas de mortinatalidaden Chile entre 2002 y 2015. Rev Haban Cienc Med. 2019;18(3):461-76 [cited September 2024]. Available from: http://scielo.sld.cu/scielo.php?script=sci_arttext&pid=S1729-519X2019000300461

  8. Turecamo SE, Xu M, Dixon D, Powell-Wiley TM, Mumma MT, Joo J,et al. Association of rurality with risk of heart failure. JAMA Cardiol.2023;8(3):231-9. https://doi.org/10.1001/jamacardio.2022.5211

  9. Cross SH, Califf RM, Warraich HJ. Rural-urban disparity in mortalityin the US from 1999 to 2019. JAMA. 2021;325(22):2312-4. https://doi.org/10.1001/jama.2021.5334

  10. Graves JM, Abshire DA, Alejandro AG. System- and individual-level barriersto accessing medical care services across the rural-urban spectrum,Washington State. Health Serv Insights. 2022;15:11786329221104667.https://doi.org/10.1177/11786329221104667

  11. Barreto T, Jetty A, Eden AR, Petterson S, Bazemore A, PetersonLE. Distribution of physician specialties by rurality. J Rural Health.2021;37(4):714-22. https://doi.org/10.1111/jrh.12548

  12. Long JC, Delamater PL, Holmes GM. Which definition of ruralityshould I use? The relative performance of 8 federal rural definitions inidentifying rural-urban disparities. Med Care. 2021;59(Suppl 5):S413-9.https://doi.org/10.1097/MLR.0000000000001612

  13. Hirko KA, Xu H, Rogers LQ, Martin MY, Roy S, Kelly KM, et al.Cancer disparities in the context of rurality: risk factors and screeningacross various U.S. rural classification codes. Cancer Causes Control.2022;33(8):1095-105. https://doi.org/10.1007/s10552-022-01599-2

  14. Skinner L, Wong S, Colla C. Rethinking rurality: using hospital referralregions to investigate rural-urban health outcomes. BMC Health Serv Res.2022;22(1):1312. https://doi.org/10.1186/s12913-022-08649-0

  15. Chen X, Orom H, Hay JL, Waters EA, Schofield E, Li Y, et al. Differencesin rural and urban health information access and use. J Rural Health.2019;35(3):405-17. https://doi.org/10.1111/jrh.12335

  16. Office of Agricultural Studies and Policies. Rurality in Chile. Santiago:Office of Agricultural Studies and Policies, 2020 [cited October 2024].Available from: https://www.odepa.gob.cl/dpto-desarrollo-rural/herramientas/ruralidad-en-chile

  17. Brezzi M, Dijkstra L, Ruiz V. OECD extended regional typology:the economic performance of remote rural regions. OECD RegionalDevelopment Working Papers, No. 2011/06. Paris: OECD Publishing, 2011.https://doi.org/10.1787/5kg6z83tw7f4-en

  18. Franks JA, Davis ES, Bhatia S, Kenzik KM. Defining rurality: an evaluationof rural definitions and the impact on survival estimates. JNCI J NatlCancer Inst. 2023;115(5):530-8. https://doi.org/10.1093/jnci/djad031

  19. Doogan NJ, Roberts ME, Wewers ME, Tanenbaum ER, Mumford EA,Stillman FA. Validation of a new continuous geographic isolation scale: atool for rural health disparities research. Soc Sci Med. 2018;215:123-32.https://doi.org/10.1016/j.socscimed.2018.09.005

  20. Ely DM, Driscoll AK, Matthews TJ. Infant mortality rates in rural andurban areas in the United States, 2014. NCHS Data Brief. 2017;(285):1-8[cited August 2025]. Available from: https://www.cdc.gov/nchs/products/databriefs/db285.htm

  21. Ministry of Social Development and Family. Municipal poverty estimates2022. Santiago: Ministry of Social Development and Family, 2022[cited March 2024]. Available from: https://observatorio.ministeriodesarrollosocial.gob.cl/storage/docs/pobreza-comunal/2022/Resultados_Estimaciones_SAE_2022.pdf

  22. National Institute of Statistics. 2017 census. Santiago: National Instituteof Statistics, 2018 [cited July 2024]. Available from: https://www.ine.gob.cl/estadisticas/sociales/censos-de-poblacion-y-vivienda/censo-de-poblaciony-vivienda

  23. Ministry of National Assets. Geospatial data infrastructure. Santiago:Ministry of National Assets, 2025 [cited January 2025]. Available from:https://www.ide.cl/

  24. National Institute of Statistics. Vital statistics. Santiago: NationalInstitute of Statistics, 2025 [cited September 2024]. Available from: https://www.ine.gob.cl/estadisticas/sociales/demografia-y-vitales/nacimientosmatrimonios-y-defunciones

  25. Waldorf B, Kim A. Defining and measuring rurality in the US: fromtypologies to continuous indices. Workshop on rationalizing rural areaclassifications. Washington DC: Keck Center, 2015 [cited August 2025].Available from: https://sites.nationalacademies.org/cs/groups/dbassesite/documents/webpage/dbasse_168031.pdf

  26. Berdegué JA, Carriazo F, Jara B, Modrego F, Soloaga I. Cities, territories,and inclusive growth: unraveling urban-rural linkages in Chile, Colombia,and Mexico. World Dev. 2015;73:56-71. https://doi.org/10.1016/j.worlddev.2014.12.013

  27. Heidelberg Institute for Geoinformation Technology. OpenRouteService.Heidelberg: Heidelberg Institute for Geoinformation Technology,2024 [cited June 2024]. Available from: https://openrouteservice.org/

  28. Ali DA, Mohamed NA, Ismail AI, Hassan GD. The risk factors of infantmortality in Somalia: evidence from the 2018/2019 Somali health anddemographic survey. BMC Pediatr. 2024;24(1):486. https://doi.org/10.1186/s12887-024-04964-z

  29. Calatayud BM, Moss JL. Rural/urban differences in uptake of preventivehealthcare services: variability in observed relationships across measuresof rurality. J Public Health Res. 2024;13(1):22799036241238670. https://doi.org/10.1177/22799036241238670

  30. Wang X, Zhang B, Cao Y, Xue Q, Ye Q, Li Y, et al. Trends in maternaland child health in China and its urban and rural areas from 1991 to2020: a joinpoint regression model. Sci Rep. 2024;14(1):13480. https://doi.org/10.1038/s41598-024-63689-2

  31. Ehrenthal DB, Kuo HHD, Kirby RS. Infant mortality in rural andnonrural counties in the United States. Pediatrics. 2020;146(5):e20200464.https://doi.org/10.1542/peds.2020-0464

  32. Veréb V, Marques C, Madureira L, Marques C, Keryan T, Silva R. What isrural well-being and how is it measured? An attempt to order chaos. RuralSociol. 2024;89(2):239-80. https://doi.org/10.1111/ruso.12536

  33. Delgado-Viñas C, Gómez-Moreno ML. The interaction betweenurban and rural areas: an updated paradigmatic, methodological andbibliographic review. Land. 2022;11(8):1298. https://doi.org/10.3390/land11081298

  34. Nabila M, Baidani A, Mourajid Y, Chebabe M, Abderraouf H. Analysis ofrisk determinants of neonatal mortality in the last decade: a systematicliterature review (2013-2023). Pediatr Rep. 2024;16(3):696-716. https://doi.org/10.3390/pediatric16030059

  35. Dagher RK, Linares DE. A critical review on the complex interplaybetween social determinants of health and maternal and infant mortality.Children. 2022;9(3):394. https://doi.org/10.3390/children9030394

  36. Lane RD, Richardson T, Scott HF, Paul RM, Balamuth F, Eisenberg MA, etal. Delays to antibiotics in the emergency department and risk of mortalityin children with sepsis. JAMA Netw Open. 2024;7(6):e2413955. https://doi.org/10.1001/jamanetworkopen.2024.13955

  37. Ayalew G, Melkamu M, Solomon AA, Tiruneh D. Delays during emergencyobstetric care and their determinants among mothers who gavebirth in South Gondar zone hospitals, Ethiopia: a cross-sectional studydesign. Glob Health Action. 2021;14(1):1953242. https://doi.org/10.1080/16549716.2021.1953242

  38. Hanna TP, King WD, Thibodeau S, Jalink M, Paulin GA, Harvey-JonesE, et al. Mortality due to cancer treatment delay: systematic review andmeta-analysis. BMJ. 2020;371:m4087. https://doi.org/10.1136/bmj.m4087

  39. Cromartie J, Ratcliffe M. Rural definitions and measurement, FCSM25-01. United States: Federal Committee on Statistical Methodology,2025 [cited August 2025]. Available from: https://rosap.ntl.bts.gov/view/dot/81834

  40. United States Department of Agriculture. Frontier and remote areacodes: documentation. Washington DC: United States Department of Agriculture,Economic Research Service, 2025 [cited August 2025]. Availablefrom: https://www.ers.usda.gov/data-products/frontier-and-remote-areacodes/documentation

  41. Rayens MK, Kingsolver AE, Christian WJ, Hahn EJ, Waters TM, Rose SW,et al. Considering relative rurality in tobacco regulatory science. NicotineTob Res. 2025;27(6):1147-50. https://doi.org/10.1093/ntr/ntae303

  42. Gaudin Y, Padilla R, Soloaga I. New methods to define and measurerurality in Latin America and their impact on public policies: the cases ofMexico and Panama. Int Fund Agric Dev. 2024. https://doi.org/10.22004/ag.econ.339797

  43. Pittí A, Gaudin Y, Hess S. Caracterización de los espacios rurales enPanamá a partir de estadísticas nacionales: enfoque social, económicoy demográfico. Ciudad de México: Comisión Económica para AméricaLatina y el Caribe, 2021 [cited August 2025]. Available from: https://repositorio.cepal.org/bitstreams/11bd6626-1426-46bf-a1fe-4cba3d3ac9ba/download

  44. Soloaga I, Plassot T, Reyes M. Caracterización de los espacios ruralesen México a partir de estadísticas nacionales. Ciudad de México: ComisiónEconómica para América Latina y el Caribe, 2021 [cited August 2025].Available from: https://www.cepal.org/es/publicaciones/46350-caracterizacion-espacios-rurales-mexico-partir-estadisticas-nacionales

  45. Anríquez G, Calabrese J, Foster W, Keim K, Osses P. Refining the scaleof the rural-urban landscape: a policy-relevant application to Chile. ApplGeogr. 2024;168:103318. https://doi.org/10.1016/j.apgeog.2024.103318

  46. Gajardo S. Metropolitan Region of Santiago: communal rurality index2019. Santiago: Regional Ministry of Social Development and Family, 2019[cited January 2024]. Available from: https://www.desarrollosocialyfamilia.gob.cl/documentos/metropolitana

  47. Greco S, Ishizaka A, Tasiou M, Torrisi G. On the methodologicalframework of composite indices: a review of the issues of weighting,aggregation, and robustness. Soc Indic Res. 2019;141(1):61-94. https://doi.org/10.1007/s11205-017-1832-9




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salud publica mex. 2026;68