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Published on 28.05.18 in Vol 5, No 2 (2018): Apr-Jun

Preprints (earlier versions) of this paper are available at http://preprints.jmir.org/preprint/9488, first published Nov 24, 2017.

This paper is in the following e-collection/theme issue:

    Original Paper

    A Smart Screening Device for Patients with Mental Health Problems in Primary Health Care: Development and Pilot Study

    1Interdisciplinary Center for Psychopathology and Emotion Regulation, University Center for Psychopathology, University Medical Center Groningen, Groningen, Netherlands

    2Department of Psychometrics and Statistics, Faculty of Behavioral and Social Sciences, University of Groningen, Groningen, Groningen, Netherlands

    3Rob Giel Research Center, University Center for Psychopathology, University Medical Center Groningen, Groningen, Netherlands

    4Department of Education and Research, Friesland Mental Health Services (GGZ Friesland), Leeuwarden, Netherlands

    Corresponding Author:

    Jan van Bebber, MSc

    Interdisciplinary Center for Psychopathology and Emotion Regulation

    University Center for Psychopathology

    University Medical Center Groningen

    PO Box 30.001

    Groningen, 9700 RB

    Netherlands

    Phone: 31 625588515

    Email:


    ABSTRACT

    Background: Adequate recognition of mental health problems is a prerequisite for successful treatment. Although most people tend to consult their general practitioner (GP) when they first experience mental health problems, GPs are not very well equipped to screen for various forms of psychopathology to help them determine clients’ need for treatment.

    Objective: In this paper, the development and characteristics of CATja, a computerized adaptive test battery built to facilitate triage in primary care settings, are described, and first results of its implementation are reported.

    Methods: CATja was developed in close collaboration with GPs and mental health assistants (MHAs). During implementation, MHAs were requested to appraise clients’ rankings (N=91) on the domains to be tested and to indicate the treatment level they deemed most appropriate for clients before test administration. We compared the agreement between domain score appraisals and domain score computed by CATja and the agreement between initial (before test administration) treatment level advice and final treatment level advice.

    Results: Agreements (Cohen kappas) between MHAs’ appraisals of clients’ scores and clients’ scores computed by CATja were mostly between .40 and .50 (Cohen kappas=.10-.20), and the agreement between “initial” treatment levels and the final treatment level advised was .65 (Cohen kappa=.55).

    Conclusions: Using CATja, caregivers can efficiently generate summaries of their clients’ mental well-being on which decisions about treatment type and care level may be based. Further validation research is needed.

    JMIR Ment Health 2018;5(2):e41

    doi:10.2196/mental.9488

    KEYWORDS



    Introduction

    Background

    Mental well-being is fundamental to the functioning of communities and nations. However, the World Health Organization states that “[…] many people with mental health problems do not receive the treatment and care they need, despite the development of effective interventions” [1]. Matching the level of provided care to the client’s need for care is a difficult task because many factors have to be balanced simultaneously. Clients want access to the best care, but working hours of practitioners and clinicians are limited, and the interest of society is to keep care affordable. To reconcile these conflicting interests, various models of care have been proposed.

    In the Netherlands, the structure of mental health care most closely resembles a stratified model, where “the initial treatment is selected based on the client’s treatment needs” [2]. The lowest level of mental health care is provided in general practices. Dutch general practitioners (GPs) are supported by mental health assistants (MHAs) who have a background in psychology, psychiatric care, or social work. MHAs are capable of treating light and or stable mental problems, and they can help to link clients to social care agencies for housing, employment, and or debt counseling. To get access to either generalist or specialist mental health care providers, clients need a referral from their GP. MHAs advise GPs on whether clients should be treated in general practices or whether they should be referred to either generalist or specialist mental health care providers. We use the term triage here to label the decision process just described.

    Aims of This Study

    Psychological tests and questionnaires have long been used to provide valuable information to guide mental health care interventions. In this paper, a Web-based computerized adaptive test (CAT) battery (named CATja) is described that was specifically designed to screen clients in general practices for various forms of psychopathology, thereby facilitating triage. The construction of items banks [3-5] and the derivation of parameter estimates for these item banks have been described elsewhere [6-9]. In this study, we describe the development of CATja and report first results of a pilot study where MHAs implement the tool in daily practice.


    Methods

    Developmental Approach

    Autonomy plays a crucial role in a person’s motivation, especially for those who are mainly intrinsically motivated [10]. Adopting CATja would require the MHAs to change their working routine in many ways, and because the best way to promote change is to provide those who are supposed to change with feelings of ownership of the new situation [11], we included MHAs in the developmental process. In addition, their expertise was highly valued. We organized regular meetings where we inventoried the opinions and ideas of MHAs and where we gave specific recommendations (such as testing adaptively to tap a broad range of constructs efficiently or how to safeguard clients’ privacy). Furthermore, these meetings enabled us to judge whether our plans would be supported. An important contribution by the MHAs was that we should not focus solely on deficiencies (eg, psychopathology), but should also pay attention to clients’ strengths (eg, positive psychological constructs). In addition, MHAs had a strong preference for blended care (ie, a combination of e-assessment and face-to-face interview). Besides the scores on various dimensions, each client is uniquely characterized by a specific combination of situational and environmental factors (eg, life events, motivation to change). Information on all these characteristics that make individuals unique was preferred to be obtained in face-to-face interviews. Furthermore, because a significant proportion of clients are treated by MHAs and the relationship between therapist and client is crucial for successful treatment [12], time spent on getting this auxiliary information during personal sessions is still spent in a valuable way, because these conversations probably strengthen the relationship between client and MHA.

    Computerized Adaptive Testing

    In CAT, items that are presented to respondents are tailored to responses given to previous items. With each consecutive item, an updated person score is derived, and the item that increases measurement precision maximally for this score is used next. This process usually continues until a predefined measurement precision is reached. In CATs, much less items are needed to derive reliable scores compared with assessments with traditional questionnaires. For an introduction to CAT, see the study by Meijer and Nering [13].

    Content of the Alpha Version of CATja

    The domains of psychopathology available in the alpha version were chosen based on (1) high prevalence in the target population (anxiety and depression), (2) the explicit wish of the envisioned end users (distress), and (3) severity of functional impairment (positive and negative symptoms of psychosis). Five psychopathology domains are currently available: anxiety and depression using the Patient Reported Outcome Measures Information System (PROMIS) item pools [9], positive and negative symptoms of psychosis based on the Prodromal Questionnaire [6], and the distress scale of the Four-Dimensional Symptom Questionnaire [7]. In addition, MHAs can assess the domains companionship and emotional support, using PROMIS item pools [8]. Thus, contrary to many existing eHealth screening tools [14], CATja incorporates domains of positive psychology as well as more severe symptoms of psychopathology (eg, hallucinations), and only uses items that are appropriate for a given client because of its adaptive testing routine.

    Sample Characteristics

    We recruited MHAs by contacting Primary Care Consultants Northern Netherlands (ELAN), an organization that advises GPs in the north of the Netherlands on eHealth advancements. Four MHAs participated in the pilot study, and they assessed 31 MHAs’ clients in total (23 females). Clients were informed that their responses would be stored anonymously for research purposes, and they provided informed consent for this by selecting the hyperlink provided in the email that was sent to them by their MHAs. On average, clients were aged 30 years and 6 months (SD 12.2). All clients had achieved a high school degree, 3 graduated in applied sciences, and 3 graduated from university. With respect to relationship status, 9 clients chose the response option “living apart together,” 11 were living together, and another 11 clients reported to be single. Moreover, 12 clients reported to be still following education, 6 were looking for work, 4 were working part-time, and 9 were working full-time.

    Statistical Analyses

    To get a first impression on how implementing CATja would change the information available to MHAs and how their decisions concerning clients’ triage would be affected, we did the following. For each domain on which clients were to be tested, we asked MHAs to estimate clients’quartile scores before administering CATja. These estimates were compared with the quartile scores computed by CATja. In addition, we requested MHAs to appraise expected treatment levels before testing their clients with CATja and to report final treatment levels advised after testing. We compared these initial and final treatment levels. The questionnaire used can be found in Multimedia Appendix 1. For all domains and treatment level advised, we computed coefficients of agreement.


    Results

    The alpha version of CATja consisted of 3 interfaces (see [15]). When the domains and constructs to be assessed have been chosen, an invitation is sent to the client by email, which contains a hyperlink that leads to CATja ’s test administration interface. In this email, the client is informed that some information on their demographic background will be requested, and that their answers will be stored anonymously for research purposes. When responding, clients can change answers given to previous items, and revised scores are calculated. When finished, a report is automatically generated and sent to the MHA. In this report, several concepts that are essential for correct interpretation of the report are explained: the norm groups that served as reference for scores, the concept of quartiles (Qi), and the meaning of quartiles for psychopathology domains and positive psychological domains. For all psychopathology domains, low scores (Q1 and Q2) are indicative of healthy functioning, whereas for companionship and emotional support, high scores (Q3 and Q4) indicate healthy functioning. The main part of the report consists of a table with quartile scores for the domains administered. All items presented are given together with the response options chosen by the client at the end of the report.

    Not all clients were tested on all domains; the number of subjects on which agreement could be based varied from 2 for negative symptoms of psychosis to 16 for anxiety and depression. In Table 1, the cross-tabulation of the quartile scores estimated by MHAs and the quartile scores computed by CATja is shown.

    In 31 of 91 cases, clients’ scores estimated by MHAs before test administration and clients’ scores as computed by CATja were identical. The proportion of agreement equaled .35 (weighted kappa=.14). In case appraisals by MHAs and quartiles given by CATja were not congruent, MHAs’ appraisals were typically higher than quartiles computed by CATja. This trend was present only for the domains of psychopathology, not for the domains companionship and emotional support. Furthermore, agreement seemed to depend on the homogeneity of domain content. That is, agreement for the distress domain (2/15=.13) was lower than for anxiety (7/16=.44), depression (8/16=.50), and emotional support (6/14=.43). In 7 of 11 cases (weighted kappa=.57), the initial judgment of treatment level to be advised to clients and the final advice (after test administration) of treatment level were in agreement. In case of disagreement, initial treatment levels were always higher than final treatment levels advised to clients.

    Table 1. Agreement between clients’ quartile scores appraised by mental health assistants before test administration and quartile scores computed by CATja (all domains and constructs).
    View this table

    Discussion

    The first results for the new screening device are promising, because the information obtained with it seems to add useful information to existing practice. Psychopathology domain scores as appraised by MHAs before test administration usually were higher than the domain scores reported by CATja. Furthermore, with respect to the treatment level advice, in case of no agreement, final treatment levels recommended to clients were always lower than the initial appraisals (before test administration). A tentative explanation for these findings would be that MHAs use the knowledge of the scores reported by CATja to lower the treatment levels they advise their clients. Under the assumption that the psychopathology domain scores computed by CATja are better estimates than the psychopathology domain scores appraised by MHAs, implementing CATja to determine the treatment level to be advised to clients would lead to less referrals to more specialized mental health care. Note that this preliminary finding, which would imply cost reduction, is opposite to what has been reported for other triage tools [16]. This result should be further tested in a study that includes many more clients in a randomized controlled treatment design where half of the participating MHAs use CATja and the other half does not. For all cases in which clients are referred to either generalist or specialist health care services, caregivers could be requested to rate the appropriateness of the referrals. On average, referrals for which CATja was used should be judged as more appropriate than those in the control condition. Another criterion for the incremental value of CATja would be to request clients to judge the degree to which they think their condition did improve since they contacted their GP.

    Acknowledgments

    This study was funded by a grant from the Mental Health Care Center Friesland, The Netherlands. The organization funded the PhD project of JvB.

    JTWW was supported by Veni grant no 016.156.019. Funding bodies had no role in the design of the study; the collection, analysis, and interpretation of data; or writing the manuscript.

    Conflicts of Interest

    None declared.

    Multimedia Appendix 1

    Client form: Clients’ domain scores estimated by MHAs and MHAs’ appraisals of expected treatment levels.

    PDF File (Adobe PDF File), 39KB

    References

    1. World Health Organization. Helsinki, Finland; 2005 Jan. Mental health declaration for Europe: Facing the challenges, building solutions   URL: http://www.euro.who.int/__data/assets/pdf_file/0008/88595/E85445.pdf [WebCite Cache]
    2. Lipton RB, Stewart WF, Stone AM, Láinez MJ, Sawyer JP, Disability in Strategies of Care Study group. Stratified care vs step care strategies for migraine: the Disability in Strategies of Care (DISC) Study: A randomized trial. JAMA 2000 Nov;284(20):2599-2605. [Medline]
    3. Cella D, Riley W, Stone A, Rothrock N, Reeve B, Yount S, PROMIS Cooperative Group. The Patient-Reported Outcomes Measurement Information System (PROMIS) developed and tested its first wave of adult self-reported health outcome item banks: 2005-2008. J Clin Epidemiol 2010 Nov;63(11):1179-1194 [FREE Full text] [CrossRef] [Medline]
    4. Loewy RL, Bearden CE, Johnson JK, Raine A, Cannon TD. The prodromal questionnaire (PQ): preliminary validation of a self-report screening measure for prodromal and psychotic syndromes. Schizophr Res 2005 Nov 01;79(1):117-125. [Medline]
    5. Terluin B, van Marwijk HW, Adèr HJ, de Vet HC, Penninx BW, Hermens ML, et al. The Four-Dimensional Symptom Questionnaire (4DSQ): a validation study of a multidimensional self-report questionnaire to assess distress, depression, anxiety and somatization. BMC Psychiatry 2006 Aug 22;6:34 [FREE Full text] [CrossRef] [Medline]
    6. van Bebber J, Wigman JTW, Meijer RR, Ising HK, van den Berg D, Rietdijk J, et al. The Prodromal Questionnaire: a case for IRT-based adaptive testing of psychotic experiences? Int J Methods Psychiatr Res 2017 Jun;26(2):e1518. [CrossRef] [Medline]
    7. van Bebber J, Wigman JTW, Wunderink L, Tendeiro JN, Wichers M, Broeksteeg J, et al. Identifying levels of general distress in first line mental health services: can GP- and eHealth clients' scores be meaningfully compared? BMC Psychiatry 2017 Dec 01;17(1):382 [FREE Full text] [CrossRef] [Medline]
    8. de Haan L, Linszen DH, Lenior ME, de Win ED, Gorsira R. Duration of untreated psychosis and outcome of schizophrenia: delay in intensive psychosocial treatment versus delay in treatment with antipsychotic medication. Schizophr Bull 2003;29(2):341-348. [Medline]
    9. Pilkonis PA, Choi SW, Reise SP, Stover AM, Riley WT, Cella D, PROMIS Cooperative Group. Item banks for measuring emotional distress from the Patient-Reported Outcomes Measurement Information System (PROMIS®): depression, anxiety, and anger. Assessment 2011 Sep;18(3):263-283 [FREE Full text] [CrossRef] [Medline]
    10. Gagné M, Deci E. Self-determination theory and work motivation. J Organ Behav 2005 Apr 14;26(4):331-362. [CrossRef]
    11. Pierce JL, Kostova T, Dirks KT. Toward a Theory of Psychological Ownership in Organizations. Acad Manag Rev 2001 Apr;26(2):298-310. [CrossRef]
    12. Lambert MJ, Barley DE. Research summary on the therapeutic relationship and psychotherapy outcome. Psychotherapy: Theory, research, practice, training 2001 Oct;38(4):357-361.
    13. Meijer RR, Nering ML. Computerized adaptive testing: Overview and introduction. Appl Psychol Meas 1999 Sep 01;23(3):187-194.
    14. Meuldijk D, Giltay EJ, Carlier IV, van Vliet IM, van Hemert AM, Zitman FG. A Validation Study of the Web Screening Questionnaire (WSQ) Compared With the Mini-International Neuropsychiatric Interview-Plus (MINI-Plus). JMIR Ment Health 2017 Aug 29;4(3):e35 [FREE Full text] [CrossRef] [Medline]
    15. RoQua. The Netherlands: University Medical Center Groningen CATja   URL: https://catja.roqua.nl/ [WebCite Cache]
    16. Dijksman I, Dinant GJ, Spigt MG. eDiagnostics: a promising step towards primary mental health care. Fam Pract 2013 Dec;30(6):695-704. [CrossRef] [Medline]


    Abbreviations

    CAT: computerized adaptive testing
    GPs: general practitioners
    MHAs: mental health assistants
    PROMIS: Patient Reported Outcome Measures Information System


    Edited by G Eysenbach; submitted 24.11.17; peer-reviewed by M Paap, D Lim, R Pankomera; comments to author 01.02.18; revised version received 26.02.18; accepted 28.02.18; published 28.05.18

    ©Jan van Bebber, Rob R Meijer, Johana TW Wigman, Sjoerd Sytema, Lex Wunderink. Originally published in JMIR Mental Health (http://mental.jmir.org), 28.05.2018.

    This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Mental Health, is properly cited. The complete bibliographic information, a link to the original publication on http://mental.jmir.org/, as well as this copyright and license information must be included.