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Harris MG, Kazdin AE, Munthali RJ, Vigo DV, Stein DJ, Viana MC, Aguilar-Gaxiola S, Al-Hamzawi A, Alonso J, Andrade LH, Bunting B, Chardoul S, Gureje O, Hu C, Hwang I, Karam EG, Navarro-Mateu F, Nishi D, Orozco R, Sampson NA, Scott KM, Vladescu C, Wojtyniak B, Xavier M, Zarkov Z, Kessler RC. Factors associated with satisfaction and perceived helpfulness of mental healthcare: a World Mental Health Surveys report. Int J Ment Health Syst 2024; 18:11. [PMID: 38429785 PMCID: PMC10908125 DOI: 10.1186/s13033-024-00629-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Accepted: 02/07/2024] [Indexed: 03/03/2024] Open
Abstract
BACKGROUND Mental health service providers are increasingly interested in patient perspectives. We examined rates and predictors of patient-reported satisfaction and perceived helpfulness in a cross-national general population survey of adults with 12-month DSM-IV disorders who saw a provider for help with their mental health. METHODS Data were obtained from epidemiological surveys in the World Mental Health Survey Initiative. Respondents were asked about satisfaction with treatments received from up to 11 different types of providers (very satisfied, satisfied, neither satisfied nor dissatisfied, somewhat dissatisfied, very dissatisfied) and helpfulness of the provider (a lot, some, a little, not at all). We modelled predictors of satisfaction and helpfulness using a dataset of patient-provider observations (n = 5,248). RESULTS Most treatment was provided by general medical providers (37.4%), psychiatrists (18.4%) and psychologists (12.7%). Most patients were satisfied or very satisfied (65.9-87.5%, across provider) and helped a lot or some (64.4-90.3%). Spiritual advisors and healers were most often rated satisfactory and helpful. Social workers in human services settings were rated lowest on both dimensions. Patients also reported comparatively low satisfaction with general medical doctors and psychiatrists/psychologists and found general medical doctors less helpful than other providers. Men and students reported lower levels of satisfaction than women and nonstudents. Respondents with high education reported higher satisfaction and helpfulness than those with lower education. Type of mental disorder was unrelated to satisfaction but in some cases (depression, bipolar spectrum disorder, social phobia) was associated with low perceived helpfulness. Insurance was unrelated to either satisfaction or perceived helpfulness but in some cases was associated with elevated perceived helpfulness for a given level of satisfaction. CONCLUSIONS Satisfaction with and perceived helpfulness of treatment varied as a function of type of provider, service setting, mental status, and socio-demographic variables. Invariably, caution is needed in combining data from multiple countries where there are cultural and service delivery variations. Even so, our findings underscore the utility of patient perspectives in treatment evaluation and may also be relevant in efforts to match patients to treatments.
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Affiliation(s)
- Meredith G Harris
- School of Public Health, The University of Queensland, c/o QCMHR, Locked Bag 500, Archerfield, QLD, 4108, Australia.
- Queensland Centre for Mental Health Research, The Park Centre for Mental Health, Wolston Park Rd, Wacol, QLD, 4076, Australia.
| | - Alan E Kazdin
- Department of Psychology, Yale University, 2 Hillhouse Avenue- 208205, New Haven, CT, 06520, USA
| | - Richard J Munthali
- Department of Psychiatry, University of British Columbia, UBC Hospital - Detwiller Pavilion, Room 2813, 2255 Wesbrook Mall, UBC Vancouver Campus, Vancouver, BC, V6T 2A1, Canada
| | - Daniel V Vigo
- Department of Psychiatry, University of British Columbia, UBC Hospital - Detwiller Pavilion, Room 2813, 2255 Wesbrook Mall, UBC Vancouver Campus, Vancouver, BC, V6T 2A1, Canada
- Department of Global Health and Social Medicine, Harvard Medical School, 641 Huntington Avenue, Boston, MA, 02115, USA
| | - Dan J Stein
- Department of Psychiatry & Mental Health and South African Medical Council Research Unit on Risk and Resilience in Mental Disorders, University of Cape Town, Rondebosch, Cape Town, ZA, 7925, South Africa
| | - Maria Carmen Viana
- Department of Social Medicine, Postgraduate Program in Public Health, Federal University of Espírito Santo, Espirito Santo - ES, Rua Dr. Euríco de Águiar, 888/705, Vitoria, Espirito Santo - ES, 2905-600, Brazil
| | - Sergio Aguilar-Gaxiola
- Center for Reducing Health Disparities, UC Davis Health System, 2921 Stockton Blvd., Suite 1408, Sacramento, CA, 95817, USA
| | - Ali Al-Hamzawi
- College of Medicine, Al-Qadisiya University, P.O.Box 88, Al-Diwaniyah, Al-Qadisiyah, Iraq
| | - Jordi Alonso
- IMIM-Hospital del Mar Medical Research Institute, PRBB Building, Doctor Aiguader, 88, Barcelona, 08003, Spain
- CIBER en Epidemiología y Salud Pública (CIBERESP), Av. Monforte de Lemos, 3-5, Pabellón 11, Planta 0, Madrid, 28029, Spain
- Pompeu Fabra University (UPF), Plaça de la Mercè, 10-12, Barcelona, 08002, Spain
| | - Laura Helena Andrade
- University of São Paulo Medical School, Núcleo de Epidemiologia Psiquiátrica - LIM 23, Rua Dr. Ovidio Pires de Campos, 785, São Paulo, CEP 05403-010, Brazil
| | - Brendan Bunting
- School of Psychology, Ulster University, College Avenue, Londonderry, BT48 7JL, UK
| | - Stephanie Chardoul
- Survey Research Center, Institute for Social Research, University of Michigan, 330 Packard, Room G358, Ann Arbor, MI, 48104, USA
| | - Oye Gureje
- Department of Psychiatry, University of Ibadan, University College Hospital, Ibadan, PMB, 5116, Nigeria
| | - Chiyi Hu
- Shenzhen Institute of Mental Health & Shenzhen Kangning Hospital, Shenzhen, 518020, China
| | - Irving Hwang
- Department of Health Care Policy, Harvard Medical School, 180 Longwood Avenue, Boston, MA, 02115, USA
| | - Elie G Karam
- Institute for Development, Research, Advocacy and Applied Care (IDRAAC), Achrafieh, St. George Hospital Street, Beirut, Lebanon
- Department of Psychiatry and Clinical Psychology, St George Hospital University Medical Center, Beirut, Ashrafieh, 166378, Lebanon
- Faculty of Medicine, Balamand University, Rond Point Saloumeh, Sin el Fil, Beirut, Lebanon
| | - Fernando Navarro-Mateu
- Unidad de Docencia, Investigacion y Formación en Salud Mental, Servicio Murciano de Salud, Murcia Health Service, C/ Lorca, nº 58. -El Palmar, Murcia, 30120, Spain
- Instituto Murciano de Investigación Biosanitaria Virgen de la Arrixaca, El Palmar, Murcia, 30120, Spain
- Centro de Investigación Biomédica en Red en Epidemíologia y Salud Pública, El Palmar, Murcia, 30120, Spain
| | - Daisuke Nishi
- Department of Mental Health, Graduate School of Medicine, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan
| | - Ricardo Orozco
- National Institute of Psychiatry Ramón de la Fuente Muñiz, Calz. Mexico-Xochimilco 101, San Lorenzo Huipulco, Ciudad de México, 14370, Mexico
| | - Nancy A Sampson
- Department of Health Care Policy, Harvard Medical School, 180 Longwood Avenue, Boston, MA, 02115, USA
| | - Kate M Scott
- Department of Psychological Medicine, University of Otago, P.O. Box 56, Dunedin, 9054, New Zealand
| | - Cristian Vladescu
- National Institute for Health Services Management, 31 Vaselor Str, Bucharest, 21253, Romania
- University Titu Maiorescu, Dâmbovnicului no. 22, Bucharest, Romania
| | - Bogdan Wojtyniak
- National Institute of Public Health, National Research Institute, 24 Chocimska St, Warsaw, 00-791, Poland
| | - Miguel Xavier
- Faculdade Ciências Médicas, Universidade Nova de Lisboa, Campo dos Mártires da Pátria, 130, Lisbon, 1169-056, Portugal
| | - Zahari Zarkov
- Department of Mental Health, National Center of Public Health and Analyses, 15, Acad. Ivan Geshov Blvd, Sofia, 1431, Bulgaria
| | - Ronald C Kessler
- Department of Health Care Policy, Harvard Medical School, 180 Longwood Avenue, Boston, MA, 02115, USA
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Sturm H, Colombo M, Hebeiss T, Joos S, Koch R. Patient Input in Regional Healthcare Planning-A Meaningful Contribution. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:E3754. [PMID: 31590364 PMCID: PMC6801500 DOI: 10.3390/ijerph16193754] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/31/2019] [Revised: 09/26/2019] [Accepted: 10/01/2019] [Indexed: 11/25/2022]
Abstract
Background: There are well-known methodological and analytical challenges in planning regional healthcare services (HCS). Increasingly, the need for data-derived planning, including user-perspectives, is discussed. This study aims to better understand the possible contribution of citizen experience in the assessment of regional HCS needs in two regions of Germany. Methods: We conducted a written survey in two regions of differing size-a community (3653 inhabitants) and a county (165,211 inhabitants). Multinomial logistic regression was used to assess the impact of sociodemographic and regional factors on the assessment of HCS provided by general practitioners (GPs) and specialists. Results: Except for age and financial resources available for one's own health, populations did not differ significantly between the regions. However, citizens' perception of HCS (measured by satisfaction with 1 = very good to 5 = very poor) differed clearly between different services (e.g., specialists: 3.8-4.3 and pharmacies: 1.7-2.5) as well as between regions (GPs: 1.7-3.1; therapists: 2.9-4). In the multivariate model, region (next to income and age) was a consistent predictor of the perception of GP- and specialist-provided care. Discussion: Citizens' perceptions of HCS correspond to regional provider density (the greater the density, the better the perception) and add insights into citizens' needs. Therefore, they can provide valuable information on regional HCS strengths and weaknesses and are a valid resource to support decision makers in shaping regional care structures.
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Affiliation(s)
- Heidrun Sturm
- University Hospital Tübingen, Institute for General Practice and Interprofessional Care, Osianderstraße 5, 72076 Tübingen, Germany.
| | - Miriam Colombo
- University Hospital Tübingen, Institute for General Practice and Interprofessional Care, Osianderstraße 5, 72076 Tübingen, Germany.
| | - Teresa Hebeiss
- University Hospital Tübingen, Institute for General Practice and Interprofessional Care, Osianderstraße 5, 72076 Tübingen, Germany.
| | - Stefanie Joos
- University Hospital Tübingen, Institute for General Practice and Interprofessional Care, Osianderstraße 5, 72076 Tübingen, Germany.
| | - Roland Koch
- University Hospital Tübingen, Institute for General Practice and Interprofessional Care, Osianderstraße 5, 72076 Tübingen, Germany.
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Perlman CM, Hirdes JP, Barbaree H, Fries BE, McKillop I, Morris JN, Rabinowitz T. Development of mental health quality indicators (MHQIs) for inpatient psychiatry based on the interRAI mental health assessment. BMC Health Serv Res 2013; 13:15. [PMID: 23305286 PMCID: PMC3560122 DOI: 10.1186/1472-6963-13-15] [Citation(s) in RCA: 48] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2012] [Accepted: 01/07/2013] [Indexed: 11/10/2022] Open
Abstract
Background Outcome quality indicators are rarely used to evaluate mental health services because most jurisdictions lack clinical data systems to construct indicators in a meaningful way across mental health providers. As a result, important information about the effectiveness of health services remains unknown. This study examined the feasibility of developing mental health quality indicators (MHQIs) using the Resident Assessment Instrument - Mental Health (RAI-MH), a clinical assessment system mandated for use in Ontario, Canada as well as many other jurisdictions internationally. Methods Retrospective analyses were performed on two datasets containing RAI-MH assessments for 1,056 patients from 7 facilities and 34,788 patients from 70 facilities in Ontario, Canada. The RAI-MH was completed by clinical staff of each facility at admission and follow-up, typically at discharge. The RAI-MH includes a breadth of information on symptoms, functioning, socio-demographics, and service utilization. Potential MHQIs were derived by examining the empirical patterns of improvement and incidence in depressive symptoms and cognitive performance across facilities in both sets of data. A prevalence indicator was also constructed to compare restraint use. Logistic regression was used to evaluate risk adjustment of MHQIs using patient case-mix index scores derived from the RAI-MH System for Classification of Inpatient Psychiatry. Results Subscales from the RAI-MH, the Depression Severity Index (DSI) and Cognitive Performance Scale (CPS), were found to have good reliability and strong convergent validity. Unadjusted rates of five MHQIs based on the DSI, CPS, and restraints showed substantial variation among facilities in both sets of data. For instance, there was a 29.3% difference between the first and third quartile facility rates of improvement in cognitive performance. The case-mix index score was significantly related to MHQIs for cognitive performance and restraints but had a relatively small impact on adjusted rates/prevalence. Conclusions The RAI-MH is a feasible assessment system for deriving MHQIs. Given the breadth of clinical content on the RAI-MH there is an opportunity to expand the number of MHQIs beyond indicators of depression, cognitive performance, and restraints. Further research is needed to improve risk adjustment of the MHQIs for their use in mental health services report card and benchmarking activities.
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Affiliation(s)
- Christopher M Perlman
- School of Public Health and Health Systems, University of Waterloo, 200 University Ave West, Waterloo N2L 3G1, Canada.
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