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Erschienen in:
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2019 | OriginalPaper | Buchkapitel

The Demand for Healthcare Services and Resources: Patterns, Trends and Challenges in Healthcare Delivery

verfasst von : Sofia Cruz-Gomes, Mário Amorim-Lopes, Bernardo Almada-Lobo

Erschienen in: Operational Research

Verlag: Springer International Publishing

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Abstract

Together with the significant improvement in health and longevity came a number of health and economic concerns related to the demand for healthcare services and resources: changes in the patterns of health and illness, increasing amount and complexity of healthcare services demanded, rising health expenditures and uncertainty about whether there will be enough human, physical and financial resources to deliver the healthcare services needed. This paper aims to draw attention to the importance of planning the demand for healthcare in the aforementioned context, to create awareness of the need for a comprehensive study on the demand for healthcare services and resources and to propose an integrated approach for planning them, to inform managers and policy-makers on what can be the main challenges on assuring healthcare delivery in the future.

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Vorheriges Kapitel Performance Evaluation of European Power Systems
Nächstes Kapitel Planning the Delivery of Home-Based Long-Term Care: A Mathematical Programming-Based Tool to Support Routes’ Planning
Literatur
1.
World Health Organization: World Report on Ageing And Health. World Health Report, pp. 1–260 (2015)
2.
World Health Organization. 2010 ‘Health Systems Financing - The path to universal coverage’. World Health Report, pp. 1–128 (2015)
3.
Grossman, M.: On the concept of health capital and the demand for health. Polit. Econ. 80(2), 223–255 (1972)MathSciNetCrossRef
4.
Linddren B.: Foreword to the 2017 Edition. In: Grossman, M. (ed.) The Demand for Health, pp. xi–xxvi. Columbia University Press (1972)
5.
Alwan, A., et al.: Monitoring and surveillance of chronic non-communicable diseases: progress and capacity in high-burden countries. Lancet 376(9755), 1861–1868 (2017)CrossRef
6.
Beaglehole, R., et al.: Priority actions for the non-communicable disease crisis. Lancet 377(9775), 1438–1447 (2011)CrossRef
7.
Ward, B.W., Schiller, J.S., Goodman, R.A.: Multiple chronic conditions among US adults: a 2012 update. Prev. Chronic Dis. 17, 11–E62 (2014)
8.
Barcel, A., Aedo, C., Rajpathak, S., Robles, S.: The cost of diabetes in Latin America and the Caribbean. Bull. World Health Organ. 81(1), 19–27 (2003)
9.
Fortin, M., Bravo, G., Hudon, C., Vanasse, A., Lapointe, L.: Prevalence of multimorbidity among adults seen in family practice. Ann. Fam. Med. 3(3), 223–228 (2005)CrossRef
10.
Wolff, J.L., Starfield, B., Anderson, G.: Prevalence, expenditures, and complications of multiple chronic conditions in the elderly. Arch. Intern. Med. 162(20), 2269 (2002)CrossRef
11.
Banerjee, S.: Multimorbidity: older adults need health care that can count past one. Lancet 385(9968), 587–589 (2015)CrossRef
12.
Canizares, M., Hogg-Johnson, S., Gignac, M.A.M., Glazier, R.H., Badley, E.M.: Increasing trajectories of multimorbidity over time: birth cohort differences and the role of changes in obesity and income. J. Gerontol. Ser. B 45, 387–416 (2017)
13.
Glynn, L.G., et al.: The prevalence of multimorbidity in primary care and its effect on health care utilization and cost. Fam. Pract. 28(5), 516–523 (2011)CrossRef
14.
Smith, S.M., Ferede, A., O’Dowd, T.: Multimorbidity in younger deprived patients: an exploratory study of research and service implications in general practice. BMC Fam. Pract. 9, 6 (2008)CrossRef
15.
Marengoni, A., et al.: Aging with multimorbidity: a systematic review of the literature. Ageing Res. Rev. 10(4), 430–439 (2011)CrossRef
16.
Barnett, K., Mercer, S.W., Norbury, M., Watt, G., Wyke, S., Guthrie, B.: Epidemiology of multimorbidity and implications for health care, research, and medical education: a cross-sectional study. Lancet 380(9836), 37–43 (2017)CrossRef
17.
Caughey, G.E., Vitry, A.I., Gilbert, A.L., Roughead, E.E.: Prevalence of comorbidity of chronic diseases in Australia. BMC Public Health 8(1), 221 (2008)CrossRef
18.
Vogeli, C., et al.: Multiple chronic conditions: prevalence, health consequences, and implications for quality, care management, and costs. J. Gen. Intern. Med. 22(3), 391–395 (2007)CrossRef
19.
Boyd, M., Fortin, C.M.: Future of multimorbidity research: how should understanding of multimorbidity inform health system design? Public Health Rev. 32(2), 451–474 (2010)CrossRef
20.
Roos, N.P., Carrire, K., Friesen, D.: Factors influencing the frequency of visits by hypertensive patients to primary care physicians in Winnipeg. CMAJ 159(7), 777–783 (1998)
21.
Garner, M.G., Hamilton, S.A.: Principles of epidemiologic modelling. Rev. Sci. Tech. Off. Int. Epiz. 30(2), 407–416
22.
Habtemariam, T., Tameru, B., Nganwa, D., Beyene, G., Ayanwale, L., Robnett, V.: Epidemiologic modeling of HIV/AIDS: use of computational models to study the population dynamics of the disease to assess effective intervention strategies for Decision-making. Adv. Syst. Sci. Appl. 8(1), 35–39
23.
Nianogo, R.A., Arah, O.A.: Agent-based modeling of non-communicable diseases: a systematic review. Am. J. Public Health 105(3), 20–31 (2015)CrossRef
24.
Li, Y., Lawley, M.A., Siscovick, D.S., Zhang, D., Pagn, J.A.: Agent-based modeling of chronic diseases: a narrative review and future research directions. Prev. Chronic Dis. 13 (2016)
25.
World Health Organization: Health systems: improving performance. World Heal. Rep. 78(1), 1–215 (2000)
26.
Ono, T., Lafortune, G., Schoenstein, M.: Health workforce planning in OECD countries: a review of 26 projection models from 18 countries. OECD Heal. Work Pap. 62 (2013)
27.
Zurn, P., Dal Poz, M.R., Stilwell, B., Adams, O.: Imbalance in the health workforce. Hum. Resour. Health 2(13), 1–12 (2004)
28.
Murphy, G.T., Birch, S., Mackenzie, A.: Needs-based health human resources planning: the challenge of linking needs to provider requirements (2007)
29.
Al-Sawai, A., Al-Shishtawy, M.M.: Health workforce planning: an overview and suggested approach in Oman. Sultan Qaboos Univ. Med. J. 15, 27–33 (2015)
30.
World Health Organization: Models and tools for health workforce planning and projections. World Heal. Rep. 3, 1–19 (2010)
31.
O’Brien-Pallas, L., Baumann, A., Donner, G., Murphy, G.T., Lochhaas-Gerlach, J., Luba, M.: Forecasting models for human resources in health care. J. Adv. Nurs. 33(1), 120–129 (2001)CrossRef
32.
Amorim-Lopes, M., Almeida, A.S., Almada-Lobo, B.: Handling healthcare workforce planning with care: where do we stand? Hum. Resour. Health 13(1), 38 (2015)CrossRef
33.
Bärnighausen, T., Bloom, D.E.: Changing research perspectives on the global health workforce. NBER Work Pap. Ser. (2009)
34.
Roberfroid, D., Leonard, C., Stordeur, S.: Physician supply forecast: better than peering in a crystal ball? Hum. Resour. Health 7, 10 (2009)CrossRef
35.
Dreesch, N., et al.: An approach to estimating human resource requirements to achieve the millennium development goals. Health Policy Plan 20(5), 267–276 (2005)CrossRef
36.
Lipscomb, J., Parmigiani, G., Hasselblad, V.: Combining expert judgment by hierarchical modeling: an application to physician staffing. Manag. Sci. 44(2), 149–161 (1998)CrossRef
37.
Dall, T., West, T., Chakrabarti, R., Iacobucci, W.: The complexities of physician supply and demand: projections from 2013 to 2025 final report association of American Medical Colleges. Assoc. Am. Med. Coll. 1–68 (2015)
38.
Hall, T.L.: Chile health manpower study: methods and problems. Int. J. Heal. Serv. 1(2), 166–184 (1971)CrossRef
39.
Scott, R.D., Solomon, S.L., McGowan, J.E.: Applying economic principles to health care. Emerg. Infect. Dis. 7(2), 282–285 (2001)CrossRef
40.
Pourmohammadi, K., Hatam, N., Bastani, P., Lotfi, F.: Estimating production function: a tool for hospital resource management. Shiraz E Med. J. 15(4), 1–7 (2014)CrossRef
41.
Santías, F.R., Cadarso-Suárez, C., Rodrguez-Álvarez, M.X.: Estimating hospital production functions through flexible regression models. Math. Comput. Model 54(7), 1760–1764 (2011)CrossRef
42.
Castelli, A., Street, A., Verzulli, R., Ward, P.: Examining variations in hospital productivity in the English NHS. Eur. J. Heal. Econ. 16(3), 243–254 (2015)CrossRef
43.
Newhouse, J.P.: Frontier estimation: how useful a tool for health economics? J. Health Econ. 13(3), 317–322 (1994)CrossRef
44.
Hollingsworth, B., Dawson, P.J., Maniadakis, N.: Efficiency measurement of health care: a review of non-parametric methods and applications. Health Care Manag. Sci. 2(3), 161–172 (1999)CrossRef
45.
46.
Lipscomb, J., Kilpatrick, K.E., Lee, K.L., Pieper, K.S.: Determining VA physician requirements through empirically based models. Health Serv. Res. 29(6), 697–717 (1995)
47.
Heshmati, A.: Labour demand and efficiency in Swedish savings banks. Appl. Financ. Econ. 11(4), 423–433 (2001). Kumbhakar, S.C.: Labour-use efficiency in Swedish social insurance offices. J. Appl. Econ. 10, 33–47 (1995)
48.
Kumbhakar, S.C., Zhang, R.: Labor-use efficiency and employment elasticity in Chinese manufacturing. Econ. e Polit. Ind. 40(1), 5–24 (2013)CrossRef
49.
Zhao, J.: Forecasting health expenditures: methods and applications to international databases. CHEPA Work Pap. Ser. (2015)
50.
Getzen, T.E.: Measuring and Forecasting Global Health Expenditures. Chapter Glob. Heal. Econ. Public Policy (2014)
51.
Marino, A., James, C., Morgan, D., Lorenzoni, L.: Future trends in health care expenditure: a modelling framework for cross-country forecasts. OECD Heal. Work Pap. 5 (2017)
52.
Hollenbeck, K.: A review of retirement income policy models. Upjohn Inst. Work Pap. 95(38) (1995)
53.
Astolfi, R., Lorenzoni, L., Oderkirk, J.: Informing policy makers about future health spending: a comparative analysis of forecasting methods in OECD countries. Health Policy 107(1), 1–10 (2012)CrossRef
54.
La Maisonneuve, C.D., Martins, J.O.: Public spending on health and long-term care: a new set of projections. OECD Econ. Policy Pap. 6(6), 1–39 (2013)
55.
Newhouse, J.P.: Medical-care expenditure: a cross-national survey. J. Hum. Resour. 12(1), 115–125 (1977)CrossRef
56.
Newhouse, J.P.: Medical care costs: jow much welfare loss? J. Econ. Perspect. 6(3), 3–21 (1992)CrossRef
57.
Newhouse, J.P.: Forecasting demand for medical care for the purpose of planning health services (1974)
58.
Musgrave, R.A., Jacob, A., Stuart, C., Barone, E.: Classics in the theory of public finance (1967)
59.
Przywara, B.: Projecting future health care expenditure at European level: drivers, methodology and main results. Econ. Pap. 717, 1–83 (2010)
60.
Fogel, R.W.: Forecasting the cost of U.S. health care in 2040. J. Policy Model 31(4), 482–488 (2009)CrossRef
61.
Schulz, E.: The influence of supply and demand factors on aggregate health care expenditure with a specific focus on age composition. ENEPRI Res. Rep. 16, 45 (2005)
62.
Mohammed, B.: Determinants for demand for health care services in Mekelle City. Ethiop. Health Reforms 22(5), 102–110 (2013)
63.
Gerdtham, U.G., Lothgren, M.: On stationarity and cointegration of international health expenditure and GDP. J. Health Econ. 19(4), 461–475 (2000)CrossRef
64.
San, E., Mar, O., Peiming, W.: The effects of an ageing population and other factors on aggregate health care expenditure in Singapore, ICEB-15 (2005)
65.
Dreger, C., Reimers, H.E.: Health care expenditures in OECD countries: a panel unit root and cointegration analysis. IZA Discuss Pap. Ser. 1469 (2005)
66.
Okunade, A., Murthy, V.: Technology as a ‘major drivers’ of health care costs: a cointegration analysis of the newhouse conjecture. J. Health Econ. 21, 147–159 (2002)CrossRef
67.
Di Matteo, L.: The macro determinants of health expenditure in the United States and Canada: assessing the impact of income, age distribution and time. Health Policy 71(1), 23–42 (2005)CrossRef
68.
Atella, V., Bhattacharya, J., Carbonari, L.: Pharmaceutical price controls and minimum efficacy regulation: evidence from the United States and Italy. Health Serv. Res. 47(1), 293–308 (2012)CrossRef
69.
Blomqvist, A.G., Carter, R.A.L.: Is health care really a luxury? J. Health Econ. 16(2), 207–229 (1997)CrossRef
Metadaten
Titel
The Demand for Healthcare Services and Resources: Patterns, Trends and Challenges in Healthcare Delivery
verfasst von
Sofia Cruz-Gomes
Mário Amorim-Lopes
Bernardo Almada-Lobo
Copyright-Jahr
2019
Buch
Operational Research

Print ISBN: 978-3-030-10730-7

Electronic ISBN: 978-3-030-10731-4

Copyright-Jahr: 2019

DOI
https://doi.org/10.1007/978-3-030-10731-4_7

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