IDEAS home Printed from https://ideas.repec.org/a/wly/hlthec/v9y2000i5p373-383.html
   My bibliography  Save this article

Using health production functions to evaluate treatment effectiveness: an application to a community mental health service

Author

Listed:
  • Andrew Healey
  • Massimo Mirandola
  • Francesco Amaddeo
  • Paola Bonizzato
  • Michele Tansella

Abstract

The randomized controlled trial (RCT) is the recommended means of evaluating health care effectiveness and cost‐effectiveness. Whilst representing a ‘gold‐standard’ in health services research, RCT evidence on the clinical and economic desirability of services and treatments is often absent. Where RCT evidence is lacking, or where it is infeasible to implement randomized controlled comparisons, longitudinal observational and naturalistic data sources when analysed appropriately can yield useful insights regarding the clinical effectiveness and economic efficiency of treatments. In this paper we demonstrate the utility of applying panel estimation methods to data from an Italian psychiatric case register as a means of modelling the mental health outcomes of patients referred to a community‐based mental health service. Emphasis is placed on quantifying the clinical effectiveness of consultations with different mental health professionals (including in‐patient days) and whether service outcomes are affected by psychiatric diagnosis. The impact of service consultations and their interaction with different types of psychiatric diagnosis on a measure of patient mental health are found to be statistically significant, although the size of these effects are not substantial from a clinical perspective. Copyright © 2000 John Wiley & Sons, Ltd.

Suggested Citation

  • Andrew Healey & Massimo Mirandola & Francesco Amaddeo & Paola Bonizzato & Michele Tansella, 2000. "Using health production functions to evaluate treatment effectiveness: an application to a community mental health service," Health Economics, John Wiley & Sons, Ltd., vol. 9(5), pages 373-383, July.
    • Handle: RePEc:wly:hlthec:v:9:y:2000:i:5:p:373-383
    DOI: 10.1002/1099-1050(200007)9:5<373::AID-HEC522>3.0.CO;2-6
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/1099-1050(200007)9:53.0.CO;2-6
    Download Restriction: no
    File URL: https://libkey.io/10.1002/1099-1050(200007)9:5<373::AID-HEC522>3.0.CO;2-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    2. McClellan, Mark & Newhouse, Joseph P., 1997. "The marginal cost-effectiveness of medical technology: A panel instrumental-variables approach," Journal of Econometrics, Elsevier, vol. 77(1), pages 39-64, March.
    3. Grossman, Michael, 1972. "On the Concept of Health Capital and the Demand for Health," Journal of Political Economy, University of Chicago Press, vol. 80(2), pages 223-255, March-Apr.
    4. Cebu Study Team, 1992. "A child health production function estimated from longitudinal data," Journal of Development Economics, Elsevier, vol. 38(2), pages 323-351, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Halsteinli, Vidar & Karterud, Sigmund & Pedersen, Geir, 2008. "When costs count: The impact of staff size, skill mix and treatment intensity on patient outcome for psychotherapeutic day treatment programmes," Health Policy, Elsevier, vol. 86(2-3), pages 255-265, May.
    2. Negri­n, Miguel A. & Vázquez-Polo, Francisco-José, 2008. "Incorporating model uncertainty in cost-effectiveness analysis: A Bayesian model averaging approach," Journal of Health Economics, Elsevier, vol. 27(5), pages 1250-1259, September.
    3. F. J. Vázquez‐Polo & M. A. Negrín Hernández & B. González López‐Valcárcel, 2005. "Using covariates to reduce uncertainty in the economic evaluation of clinical trial data," Health Economics, John Wiley & Sons, Ltd., vol. 14(6), pages 545-557, June.
    4. Halsteinli, Vidar & Kittelsen, Sverre A. & Magnussen, Jon, 2010. "Productivity growth in outpatient child and adolescent mental health services: The impact of case-mix adjustment," Social Science & Medicine, Elsevier, vol. 70(3), pages 439-446, February.
    5. Matosevic, Tihana & Knapp, Martin & Forder, Julien & Kendall, Jeremy, 2000. "Independent sector domiciliary care providers in 1999," LSE Research Online Documents on Economics 19012, London School of Economics and Political Science, LSE Library.
    6. Francisco-José Polo & Miguel Negrín & Xavier Badía & Montse Roset, 2005. "Bayesian regression models for cost-effectiveness analysis," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 6(1), pages 45-52, March.
    7. Miguel A. Negrín & Francisco J. Vázquez-Polo & María Martel & Elías Moreno & Francisco J. Girón, 2010. "Bayesian Variable Selection in Cost-Effectiveness Analysis," IJERPH, MDPI, vol. 7(4), pages 1-20, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Subha Mani, 2012. "Is there Complete, Partial, or No Recovery from Childhood Malnutrition? – Empirical Evidence from Indonesia," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 74(5), pages 691-715, October.
    2. Blunch, Niels-Hugo, 2013. "Staying Alive: Adult Literacy Programs and Child Mortality in Rural Ghana," World Development, Elsevier, vol. 42(C), pages 114-126.
    3. Leslie Richardson & John B. Loomis & Patricia A. Champ, 2013. "Valuing Morbidity from Wildfire Smoke Exposure: A Comparison of Revealed and Stated Preference Techniques," Land Economics, University of Wisconsin Press, vol. 89(1), pages 76-100.
    4. Mark L Bryan & Nigel Rice & Jennifer Roberts & Cristina Sechel, 2022. "Mental Health and Employment: A Bounding Approach Using Panel Data," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(5), pages 1018-1051, October.
    5. Gowrisankaran, Gautam & Town, Robert J., 1999. "Estimating the quality of care in hospitals using instrumental variables," Journal of Health Economics, Elsevier, vol. 18(6), pages 747-767, December.
    6. Zakir Husain & Mousumi Dutta & Nidhi Chowdhary, 2014. "Is Health Wealth? Results of a Panel Data Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 117(1), pages 121-143, May.
    7. Huffman Wallace E. & Huffman Sonya K & Rickertsen Kyrre & Tegene Abebayehu, 2010. "Over-Nutrition and Changing Health Status in High Income Countries," Forum for Health Economics & Policy, De Gruyter, vol. 13(1), pages 1-44, June.
    8. Majo, M.C., 2010. "A microeconometric analysis of health care utilization in Europe," Other publications TiSEM 1cf5fd2f-8146-4ef8-8eb5-e, Tilburg University, School of Economics and Management.
    9. Jochen Hartwig, 2008. "Has Health Capital Formation Cured 'Baumol's Disease'? - Panel Granger Causality Evidence for OECD Countries," KOF Working papers 08-206, KOF Swiss Economic Institute, ETH Zurich.
    10. Dwyer, Debra Sabatini & Mitchell, Olivia S., 1999. "Health problems as determinants of retirement: Are self-rated measures endogenous?," Journal of Health Economics, Elsevier, vol. 18(2), pages 173-193, April.
    11. Mani, Subha & Hoddinott, John & Strauss, John, 2010. "Long-term impact of investments in early schooling," IFPRI discussion papers 981, International Food Policy Research Institute (IFPRI).
    12. Subha Mani & John Hoddinott & John Strauss, 2009. "Long-Term Impact of Investments in Early Schooling – Empirical Evidence from Rural Ethiopia," Fordham Economics Discussion Paper Series dp2009-09, Fordham University, Department of Economics.
    13. William Griffiths & Xiaohui Zhang & Xueyan Zhao, 2010. "A Stochastic Frontier Model for Discrete Ordinal Outcomes: A Health Production Function," Monash Econometrics and Business Statistics Working Papers 3/10, Monash University, Department of Econometrics and Business Statistics.
    14. Solé, Meritxell & Diaz-Serrano, Luis & Rodríguez, Marisol, 2013. "Disparities in work, risk and health between immigrants and native-born Spaniards," Social Science & Medicine, Elsevier, vol. 76(C), pages 179-187.
    15. Eric Arthur & Hassan E. Oaikhenan, 2017. "The Effects of Health Expenditure on Health Outcomes in Sub-Saharan Africa (SSA)," African Development Review, African Development Bank, vol. 29(3), pages 524-536, September.
    16. José Carlos Andrade & Joan Gil, 2022. "Maternal employment and childhood malnutrition in Ecuador," UB School of Economics Working Papers 2022/416, University of Barcelona School of Economics.
    17. Mark Dickie, 2005. "Parental Behavior and the Value of Children's Health: A Health Production Approach," Southern Economic Journal, John Wiley & Sons, vol. 71(4), pages 855-872, April.
    18. I- Ming Chiu & Tetsuji Yamada & Chia-Ching Chen, 2011. "Health and Income Variation - A Panel Data Study on the Developed and Less Developed Economies," International Economic Journal, Taylor & Francis Journals, vol. 25(2), pages 305-318.
    19. John A. Romley & Dana P. Goldman, 2011. "How Costly is Hospital Quality? A Revealed‐Preference Approach," Journal of Industrial Economics, Wiley Blackwell, vol. 59(4), pages 578-608, December.
    20. Kajitani, Shinya, 2011. "Working in old age and health outcomes in Japan," Japan and the World Economy, Elsevier, vol. 23(3), pages 153-162.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:hlthec:v:9:y:2000:i:5:p:373-383. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www3.interscience.wiley.com/cgi-bin/jhome/5749 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.