IDEAS home Printed from https://ideas.repec.org/a/sae/socpsy/v66y2020i1p49-57.html
   My bibliography  Save this article

Taking steps towards deinstitutionalizing mental health care within a low and middle-income country: A cross-sectional study of service user needs in the Republic of Moldova

Author

Listed:
  • Jona J Frasch
  • Ionela Petrea
  • Jana Chihai
  • Filip Smit
  • Matthijs Oud
  • Laura Shields-Zeeman

Abstract

Aim: The current research was conducted in the context of an ongoing reform of mental health services in the Republic of Moldova since 2014, where efforts have been devoted to creating community-based mental health services. This article presents a snapshot of the needs of mental health service users in the Republic of Moldova and helps to understand how and with which services their needs can be addressed. Methods: This cross-sectional study compared the levels of needs (CANSAS scale), quality of life (EQ-5D 3L), mental health status (MINI for psychotic disorders) and functioning (WHO-DAS) among mental health service users in the psychiatric hospital in Chisinau, Moldova. All service users resided in districts where community mental health services were being developed. Correlations between quality of life, functioning and unmet need were explored. Results: Of 83 participants, one third had a psychotic or a mood disorder. On average, participants reported needs in 9.41 domains ( SD = 4.41), of which 4.29 were unmet ( SD = 3.63). Most unmet needs related to intimacy and relation to others. The level of functioning and quality of life were reported. We found strong, negative associations between the number of unmet needs and level of functioning, as well as the quality of life. We also found that higher functioning levels were positively associated with higher quality of life. Conclusion: There were a high number of unmet needs among this inpatient population, particularly social needs and service-related needs. A continuum of inpatient and outpatient care and individual treatment plans can help address the different needs of different patients. Individual treatment plans for patients and the choice of the appropriate treatment for patients could be guided by an assessment of service users’ (unmet) needs of care and level of functioning.

Suggested Citation

  • Jona J Frasch & Ionela Petrea & Jana Chihai & Filip Smit & Matthijs Oud & Laura Shields-Zeeman, 2020. "Taking steps towards deinstitutionalizing mental health care within a low and middle-income country: A cross-sectional study of service user needs in the Republic of Moldova," International Journal of Social Psychiatry, , vol. 66(1), pages 49-57, February.
    • Handle: RePEc:sae:socpsy:v:66:y:2020:i:1:p:49-57
    DOI: 10.1177/0020764019879951
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0020764019879951
    Download Restriction: no
    File URL: https://libkey.io/10.1177/0020764019879951?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. van Buuren, Stef & Groothuis-Oudshoorn, Karin, 2011. "mice: Multivariate Imputation by Chained Equations in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 45(i03).
    2. Wiley-Exley, Elizabeth, 2007. "Evaluations of community mental health care in low- and middle-income countries: A 10-year review of the literature," Social Science & Medicine, Elsevier, vol. 64(6), pages 1231-1241, March.
    3. World Bank, 2016. "Moldova Poverty Assessment 2016," World Bank Publications - Reports 26041, The World Bank Group.
    4. World Bank Group, 2016. "Poverty and Shared Prosperity 2016," World Bank Publications - Books, The World Bank Group, number 25078.
    5. World Bank Group, 2016. "Poverty Reduction and Shared Prosperity in Moldova," World Bank Publications - Reports 24734, The World Bank Group.
    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. Petrea, Ionela & Shields-Zeeman, Laura & Keet, Rene & Nica, Raluca & Kraan, Karel & Chihai, Jana & Condrat, Victoria & Curocichin, Ghenadie, 2020. "Mental health system reform in Moldova: Description of the program and reflections on its implementation between 2014 and 2019," Health Policy, Elsevier, vol. 124(1), pages 83-88.
    2. Abhilash Bandam & Eedris Busari & Chloi Syranidou & Jochen Linssen & Detlef Stolten, 2022. "Classification of Building Types in Germany: A Data-Driven Modeling Approach," Data, MDPI, vol. 7(4), pages 1-23, April.
    3. Boonstra Philip S. & Little Roderick J.A. & West Brady T. & Andridge Rebecca R. & Alvarado-Leiton Fernanda, 2021. "A Simulation Study of Diagnostics for Selection Bias," Journal of Official Statistics, Sciendo, vol. 37(3), pages 751-769, September.
    4. Christopher J Greenwood & George J Youssef & Primrose Letcher & Jacqui A Macdonald & Lauryn J Hagg & Ann Sanson & Jenn Mcintosh & Delyse M Hutchinson & John W Toumbourou & Matthew Fuller-Tyszkiewicz &, 2020. "A comparison of penalised regression methods for informing the selection of predictive markers," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-14, November.
    5. Norah Alyabs & Sy Han Chiou, 2022. "The Missing Indicator Approach for Accelerated Failure Time Model with Covariates Subject to Limits of Detection," Stats, MDPI, vol. 5(2), pages 1-13, May.
    6. Eunsil Seok & Akhgar Ghassabian & Yuyan Wang & Mengling Liu, 2024. "Statistical Methods for Modeling Exposure Variables Subject to Limit of Detection," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 16(2), pages 435-458, July.
    7. Ida Kubiszewski & Kenneth Mulder & Diane Jarvis & Robert Costanza, 2022. "Toward better measurement of sustainable development and wellbeing: A small number of SDG indicators reliably predict life satisfaction," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(1), pages 139-148, February.
    8. Georges Steffgen & Philipp E. Sischka & Martha Fernandez de Henestrosa, 2020. "The Quality of Work Index and the Quality of Employment Index: A Multidimensional Approach of Job Quality and Its Links to Well-Being at Work," IJERPH, MDPI, vol. 17(21), pages 1-31, October.
    9. Christopher Kath & Florian Ziel, 2018. "The value of forecasts: Quantifying the economic gains of accurate quarter-hourly electricity price forecasts," Papers 1811.08604, arXiv.org.
    10. J M van Niekerk & M C Vos & A Stein & L M A Braakman-Jansen & A F Voor in ‘t holt & J E W C van Gemert-Pijnen, 2020. "Risk factors for surgical site infections using a data-driven approach," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-14, October.
    11. Joost R. Ginkel, 2020. "Standardized Regression Coefficients and Newly Proposed Estimators for $${R}^{{2}}$$R2 in Multiply Imputed Data," Psychometrika, Springer;The Psychometric Society, vol. 85(1), pages 185-205, March.
    12. Gerko Vink & Laurence E. Frank & Jeroen Pannekoek & Stef Buuren, 2014. "Predictive mean matching imputation of semicontinuous variables," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 68(1), pages 61-90, February.
    13. Tsai, Tsung-Han, 2016. "A Bayesian Approach to Dynamic Panel Models with Endogenous Rarely Changing Variables," Political Science Research and Methods, Cambridge University Press, vol. 4(3), pages 595-620, September.
    14. Hung Tong & Cristina Tortora, 2022. "Model-based clustering and outlier detection with missing data," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 16(1), pages 5-30, March.
    15. Manuel S. González Canché, 2017. "Financial Benefits of Rapid Student Loan Repayment: An Analytic Framework Employing Two Decades of Data," The ANNALS of the American Academy of Political and Social Science, , vol. 671(1), pages 154-182, May.
    16. Annisa Rahmalia & Michael Holton Price & Yovita Hartantri & Bachti Alisjahbana & Rudi Wisaksana & Reinout van Crevel & Andre J A M van der Ven, 2019. "Are there differences in HIV retention in care between female and male patients in Indonesia? A multi-state analysis of a retrospective cohort study," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-17, June.
    17. Lara Lopez & Fernando L. Vázquez & Ángela J. Torres & Patricia Otero & Vanessa Blanco & Olga Díaz & Mario Páramo, 2020. "Long-Term Effects of a Cognitive Behavioral Conference Call Intervention on Depression in Non-Professional Caregivers," IJERPH, MDPI, vol. 17(22), pages 1-24, November.
    18. Sabine Zinn & Michael Bayer, 2021. "Time Spent on School-Related Activities at Home during the Pandemic: A Longitudinal Analysis of Social Group Inequality among Secondary School Students," SOEPpapers on Multidisciplinary Panel Data Research 1132, DIW Berlin, The German Socio-Economic Panel (SOEP).
    19. Ronald Herrera & Ursula Berger & Ondine S. Von Ehrenstein & Iván Díaz & Stella Huber & Daniel Moraga Muñoz & Katja Radon, 2017. "Estimating the Causal Impact of Proximity to Gold and Copper Mines on Respiratory Diseases in Chilean Children: An Application of Targeted Maximum Likelihood Estimation," IJERPH, MDPI, vol. 15(1), pages 1-15, December.
    20. Graffelman, Jan, 2015. "Exploring Diallelic Genetic Markers: The HardyWeinberg Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 64(i03).

    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:sae:socpsy:v:66:y:2020:i:1:p:49-57. 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: SAGE Publications (email available below). General contact details of provider: .

    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.