IDEAS home Printed from https://ideas.repec.org/a/bla/ijhplm/v37y2022i3p1366-1380.html
   My bibliography  Save this article

Unveiling the actual cost of Schizophrenia: An Activity‐Based Costing (ABC) approach

Author

Listed:
  • Valeria Latorre
  • Antonio Messeni Petruzzelli
  • Antonio Emmanuele Uva
  • Carlo Ranaudo
  • Domenico Semisa

Abstract

Background Despite its relatively low lifetime prevalence, the health, social, and economic burden of Schizophrenia is very significant. In the last 10 years, several studies have analysed the economic burden of Schizophrenia, even if there is a lack of research that has considered the actual cost for the community as the result of each event in the patient's history. Objective The present study aims to cover this gap by proposing a novel model to evaluate better the cost of Schizophrenia with real data from medical records. Methods We applied (i) a ‘real life’ analysis of medical database to capture each event of the clinical history and healthcare that could have an economic impact; and (ii) a novel Activity‐Based Costing model to quantify the overall annual economic burden of a patient with Schizophrenia treated by public mental health services. We carried out the study with 523 patients with a diagnosis of Schizophrenia in the Department of Mental Health of Bari, in the South of Italy. Results Our results reveal an overall cost of €41.290 per patient with Schizophrenia per year. Almost half of the cost is due to rehabilitation. The second most important factor is instead related to disability and loss of productivity. Conclusions We believe that the present approach represents the most effective method to properly estimate actual costs when real‐life data are available compared with other studies mainly based on prevalence‐based approaches.

Suggested Citation

  • Valeria Latorre & Antonio Messeni Petruzzelli & Antonio Emmanuele Uva & Carlo Ranaudo & Domenico Semisa, 2022. "Unveiling the actual cost of Schizophrenia: An Activity‐Based Costing (ABC) approach," International Journal of Health Planning and Management, Wiley Blackwell, vol. 37(3), pages 1366-1380, May.
    • Handle: RePEc:bla:ijhplm:v:37:y:2022:i:3:p:1366-1380
    DOI: 10.1002/hpm.3405
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/hpm.3405
    Download Restriction: no
    File URL: https://libkey.io/10.1002/hpm.3405?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. Sukanta Saha & David Chant & Joy Welham & John McGrath, 2005. "A Systematic Review of the Prevalence of Schizophrenia," PLOS Medicine, Public Library of Science, vol. 2(5), pages 1-1, May.
    2. Papa, Armando & Mital, Monika & Pisano, Paola & Del Giudice, Manlio, 2020. "E-health and wellbeing monitoring using smart healthcare devices: An empirical investigation," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
    Full references (including those not matched with items on IDEAS)

    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. Huarng, Kun-Huang & Yu, Tiffany Hui-Kuang & Lee, Cheng fang, 2022. "Adoption model of healthcare wearable devices," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    2. Arfi, Wissal Ben & Nasr, Imed Ben & Kondrateva, Galina & Hikkerova, Lubica, 2021. "The role of trust in intention to use the IoT in eHealth: Application of the modified UTAUT in a consumer context," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    3. Emma Facer-Irwin & Nigel J Blackwood & Annie Bird & Hannah Dickson & Daniel McGlade & Filipa Alves-Costa & Deirdre MacManus, 2019. "PTSD in prison settings: A systematic review and meta-analysis of comorbid mental disorders and problematic behaviours," PLOS ONE, Public Library of Science, vol. 14(9), pages 1-28, September.
    4. Zhang, Wenqing & Liu, Liangliang, 2022. "Exploring non-users' intention to adopt ride-sharing services: Taking into account increased risks due to the COVID-19 pandemic among other factors," Transportation Research Part A: Policy and Practice, Elsevier, vol. 158(C), pages 180-195.
    5. Ling Wang & Xi-Wang Fan & Xu-Dong Zhao & Bing-Gen Zhu & Hong-Yun Qin, 2020. "Correlation Analysis of the Quality of Family Functioning and Subjective Quality of Life in Rehabilitation Patients Living with Schizophrenia in the Community," IJERPH, MDPI, vol. 17(7), pages 1-9, April.
    6. Kayla A Chase & Benjamin Feiner & Marcia J Ramaker & Edward Hu & Cherise Rosen & Rajiv P Sharma, 2019. "Examining the effects of the histone methyltransferase inhibitor BIX-01294 on histone modifications and gene expression in both a clinical population and mouse models," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-17, June.
    7. Brem, Alexander & Viardot, Eric & Nylund, Petra A., 2021. "Implications of the coronavirus (COVID-19) outbreak for innovation: Which technologies will improve our lives?," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    8. Basile, L.J. & Carbonara, N. & Panniello, U. & Pellegrino, R., 2024. "The role of big data analytics in improving the quality of healthcare services in the Italian context: The mediating role of risk management," Technovation, Elsevier, vol. 133(C).
    9. Secundo, Giustina & Riad Shams, S.M. & Nucci, Francesco, 2021. "Digital technologies and collective intelligence for healthcare ecosystem: Optimizing Internet of Things adoption for pandemic management," Journal of Business Research, Elsevier, vol. 131(C), pages 563-572.
    10. Henkens, Bieke & Verleye, Katrien & Larivière, Bart, 2021. "The smarter, the better?! Customer well-being, engagement, and perceptions in smart service systems," International Journal of Research in Marketing, Elsevier, vol. 38(2), pages 425-447.
    11. Angelo Barbato & Martine Vallarino & Filippo Rapisarda & Antonio Lora & Alberto Parabiaghi & Barbara D’Avanzo & Alain Lesage, 2016. "Do people with bipolar disorders have access to psychosocial treatments? A survey in Italy," International Journal of Social Psychiatry, , vol. 62(4), pages 334-344, June.
    12. Panayiotis D Ziakas & Rachana Thapa & Louis B Rice & Eleftherios Mylonakis, 2013. "Trends and Significance of VRE Colonization in the ICU: A Meta-Analysis of Published Studies," PLOS ONE, Public Library of Science, vol. 8(9), pages 1-1, September.
    13. Nadja Razavi & Kay Jann & Thomas Koenig & Mara Kottlow & Martinus Hauf & Werner Strik & Thomas Dierks, 2013. "Shifted Coupling of EEG Driving Frequencies and fMRI Resting State Networks in Schizophrenia Spectrum Disorders," PLOS ONE, Public Library of Science, vol. 8(10), pages 1-11, October.
    14. Nguyen Bac Nguyen & João Carlos Rosmaninho Menezes, 2021. "The thirty-year evolution of customer-to-customer interaction research: a systematic literature review and research implications," Service Business, Springer;Pan-Pacific Business Association, vol. 15(3), pages 391-444, September.
    15. Belfiore, Alessandra & Cuccurullo, Corrado & Aria, Massimo, 2022. "IoT in healthcare: A scientometric analysis," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    16. Del Giudice, Manlio & Scuotto, Veronica & Papa, Armando & Singh, Sanjay Kumar, 2023. "The ‘bright’ side of innovation management for international new ventures," Technovation, Elsevier, vol. 125(C).
    17. Ávila-Robinson, Alfonso & Islam, Nazrul & Sengoku, Shintaro, 2022. "Exploring the knowledge base of innovation research: Towards an emerging innovation model," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    18. Chauhan, Ankur & Jakhar, Suresh Kumar & Jabbour, Charbel Jose Chiappetta, 2022. "Implications for sustainable healthcare operations in embracing telemedicine services during a pandemic," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    19. Huichen Gao & Shijuan Wang, 2022. "The Intellectual Structure of Research on Rural-to-Urban Migrants: A Bibliometric Analysis," IJERPH, MDPI, vol. 19(15), pages 1-19, August.
    20. Jiahui Ma & Lailai Yan & Tongjun Guo & Siyu Yang & Chen Guo & Yaqiong Liu & Qing Xie & Jingyu Wang, 2019. "Association of Typical Toxic Heavy Metals with Schizophrenia," IJERPH, MDPI, vol. 16(21), pages 1-12, October.

    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:bla:ijhplm:v:37:y:2022:i:3:p:1366-1380. 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://www.blackwellpublishing.com/journal.asp?ref=0749-6753 .

    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.