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Journal articles on the topic 'Evaluation in mental health'

Author: Grafiati
Published: 4 June 2021
Last updated: 8 February 2022

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1

Bickman, Leonard. "Mental Health Outcome Evaluation." Journal of Clinical Psychiatry 61, no. 8 (2000): 607–8. http://dx.doi.org/10.4088/jcp.v61n0811f.

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2

Geddes, John. "Mental health service evaluation." Journal of Psychosomatic Research 42, no. 3 (1997): 312–13. http://dx.doi.org/10.1016/s0022-3999(96)00193-6.

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3

Salzer, Mark S. "Mental Health Outcome Evaluation." Psychiatric Services 50, no. 6 (1999): 840a—841. http://dx.doi.org/10.1176/ps.50.6.840a.

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4

ROGLER, LLOYD H., ROBERT G. MALGADY, and WARREN W. TRYON. "Evaluation of Mental Health." Journal of Nervous and Mental Disease 180, no. 4 (1992): 215–22. http://dx.doi.org/10.1097/00005053-199204000-00001.

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5

Geller, Jeffrey L., and Barbara Dickey. "Mental Health Service Evaluation." Psychiatric Services 48, no. 9 (1997): 1207. http://dx.doi.org/10.1176/ps.48.9.1207.

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6

Kirkhart, Karen E. "Analyzing mental health evaluation:." Evaluation and Program Planning 8, no. 1 (1985): 13–23. http://dx.doi.org/10.1016/0149-7189(85)90016-3.

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7

Murray, Ruth. "Mental Health Service Evaluation." Journal of Psychosocial Nursing and Mental Health Services 35, no. 3 (1997): 43. http://dx.doi.org/10.3928/0279-3695-19970301-28.

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8

Kirkhart, Karen E., and Robert O. Morgan. "Evaluation in Mental Health Centers." Evaluation Review 10, no. 1 (1986): 127–41. http://dx.doi.org/10.1177/0193841x8601000108.

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9

Freeman, Hugh. "Evaluation in Mental Health Care." British Journal of Psychiatry 161, no. 1 (1992): 1–2. http://dx.doi.org/10.1192/bjp.161.1.1.

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10

Ramaiah, R. S. "Evaluation in mental health care." British Journal of Psychiatry 161, no. 4 (1992): 575–76. http://dx.doi.org/10.1192/bjp.161.4.575c.

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11

Speer, David C., and Frederick L. Newman. "Mental Health Services Outcome Evaluation." Clinical Psychology: Science and Practice 3, no. 2 (1996): 105–29. http://dx.doi.org/10.1111/j.1468-2850.1996.tb00061.x.

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12

Tupitsyn, Iu Ia, and V. V. Bocharov. "Methods of Mental Health Evaluation." International Journal of Mental Health 31, no. 1 (2002): 62–70. http://dx.doi.org/10.1080/00207411.2002.11449544.

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13

Patel, Samir, and Karyn Jones. "Assessment of Family Custody Issues Using Mental Health Evaluations: Implications for Mental Health Counselors." Journal of Mental Health Counseling 30, no. 3 (2008): 189–99. http://dx.doi.org/10.17744/mehc.30.3.67025mu607j75405.

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In the past 30 years high-conflict families seeking resolution of child custody disputes have inundated family courts. Custody-related evaluations conducted by mental health counselors provide family courts with a thorough and unbiased assessment about the functionality of a family and offer recommendations about custody issues. The authors present (a) a description of mental health evaluations in child custody disputes; (b) ethical considerations involved in the evaluation process; (c) recommendations for conducting custody-related mental health evaluations; and (d) a format for the written report.
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14

Tomé, Gina. "Teachers’ Training: Impact on Mental Health, Knowledge and Skills." Psychology and Mental Health Care 4, no. 5 (2020): 01–10. http://dx.doi.org/10.31579/2637-8892/101.

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Teachers have a fundamental role in transforming the school’s environment into a context of well-being and in promoting young people’s mental health. The main goal of ES´COOL training is to promote adolescents’ mental health by empowering teachers and school staff with skills that will enable them to build a balanced school environment. The aim of this study was to analyse the impact that teacher training in the area of mental health had on their skills and knowledge regarding mental health. The sample was constituted by 276 teachers who work in schools in Portuguese mainland and participated in the ES’COOL training. Two evaluation moments were carried out, the initial evaluation - one week before the beginning of the training, and the final evaluation - one week after the end of the training. Results show that teachers improved most of the assessed skills and knowledge after training. Problem-solving, motivation and leadership were the skills that increased the most after the training.
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15

Mahmoudi, Hoda. "Evaluating mental-health programs: The progress evaluation scales." Social Science Journal 23, no. 1 (1986): 104–5. http://dx.doi.org/10.1016/0362-3319(86)90017-0.

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16

Fried, Bruce J., Catherine Worthington, and Raisa B. Deber. "Economic Evaluations in the Canadian Mental Health System II: From Theory to Practice in Mental Health Care*." Canadian Journal of Psychiatry 34, no. 7 (1989): 637–40. http://dx.doi.org/10.1177/070674378903400703.

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This paper follows from a previous paper which described the basic approaches to economic evaluation of health programs. The discussion in this paper builds and discusses the theoretical and practical concerns felt by practitioners and analysts about economic evaluations in mental health care. Two examples of economic evaluations that compare the costs of hospital care and community-based care are presented to illustrate some of the limitations of economic evaluation. Discussion also focuses on the difficulties involved in developing and conducting economic analyses in the mental health field, as well as problems faced in trying to generalize from one study setting to others.
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17

Allevi, Liliana, Giovanni Salvi, and Mirella Ruggeri. "Quality of mental health services: a self audit in the South Verona mental health service." Epidemiologia e Psichiatria Sociale 15, no. 2 (2006): 138–47. http://dx.doi.org/10.1017/s1121189x00004346.

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SUMMARYAims – To start a process of Continuous Quality Improvement (CQI) in an Italian Community Mental Health Service by using a quality assurance questionnaire in a self audit exercise. Methods – The questionnaire was administered to 14 key workers and clinical managers with different roles and seniority. One senior manager's evaluation was used as a benchmark for all the others. Changes were introduced in the service practice according to what emerged from the evaluation. Meetings were scheduled to monitor those changes and renew the CQI process. Results – There was a wide difference in the key workers' answers. Overall, the senior manager's evaluation was on the 60th percentile of the distribution of the other evaluations. Those areas that required prompt intervention were risk management, personnel development, and CQI. The CQI process was followed up for one year: some interventions were carried out to change the practice of the service. Conclusions – A self audit exercise in Community Mental Health Services was both feasible and useful. The CQI process was easier to start than to carry on over the long term.
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18

Song, Michael Jae, John Ward, Fiona Choi, et al. "A Process Evaluation of a Web-Based Mental Health Portal (WalkAlong) Using Google Analytics." JMIR Mental Health 5, no. 3 (2018): e50. http://dx.doi.org/10.2196/mental.8594.

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Background Despite the increasing amount of research on Web-based mental health interventions with proven efficacy, high attrition rates decrease their effectiveness. Continued process evaluations should be performed to maximize the target population’s engagement. Google Analytics has been used to evaluate various health-related Web-based programs and may also be useful for Web-based mental health programs. Objective The objective of our study was to evaluate WalkAlong.ca, a youth-oriented mental health web-portal, using Google Analytics to inform the improvement strategy for the platform and to demonstrate the use of Google Analytics as a tool for process evaluation of Web-based mental health interventions. Methods Google Analytics was used to monitor user activity during WalkAlong’s first year of operation (Nov 13, 2013-Nov 13, 2014). Selected Google Analytic variables were overall website engagement including pages visited per session, utilization rate of specific features, and user access mode and location. Results The results included data from 3076 users viewing 29,299 pages. Users spent less average time on Mindsteps (0 minute 35 seconds) and self-exercises (1 minute 08 seconds), which are important self-help tools, compared with that on the Screener tool (3 minutes 4 seconds). Of all visitors, 82.3% (4378/5318) were desktop users, followed by 12.7 % (677/5318) mobile phone and 5.0% (263/5318) tablet users. Both direct traffic (access via URL) and referrals by email had more than 7 pages viewed per session and longer than average time of 6 minutes per session. The majority of users (67%) accessed the platform from Canada. Conclusions Engagement and feature utilization rates are higher among people who receive personal invitations to visit the site. Low utilization rates with specific features offer a starting place for further exploration of users in order to identify the root cause. The data provided by Google Analytics, although informative, can be supplemented by other evaluation methods (ie, qualitative methods) in order to better determine the modifications required to improve user engagement. Google Analytics can play a vital role in highlighting the preferences of those using Web-based mental health tools.
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19

Craig, Neil, and Cameron Stark. "Health economics in mental health. 2: Economic evaluation." Psychiatric Bulletin 21, no. 11 (1997): 687–91. http://dx.doi.org/10.1192/pb.21.11.687.

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This paper is the second in a series explaining key concepts and techniques used in health economics in the context of mental health care. The paper describes the different types of economic analysis and the circumstances in which they should be used. It explains key aspects of the methods used in economic evaluation to measure costs and benefits. The purpose of the paper is not to enable clinicians to undertake economic analysis, but to familiarise them with the methods used in economic evaluation and to enable them to assess the rigour and results of published studies.
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20

Andersen, A. P. "Work Potential Evaluation in Mental Health." American Journal of Occupational Therapy 39, no. 10 (1985): 659–63. http://dx.doi.org/10.5014/ajot.39.10.659.

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21

Anderson, Jeremy. "Book Review: Mental Health Outcome Evaluation." Australian & New Zealand Journal of Psychiatry 33, no. 2 (1999): 295. http://dx.doi.org/10.1080/0004867990071.

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22

Maynard, Alan, and Karen Bloor. "Economic evaluation of mental health services." Current Opinion in Psychiatry 8, no. 2 (1995): 122–25. http://dx.doi.org/10.1097/00001504-199503000-00013.

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23

Henderson, John H. "Mental health evaluation in the ‘community’." Psychiatric Bulletin 14, no. 3 (1990): 175–76. http://dx.doi.org/10.1192/pb.14.3.175-a.

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24

Russell, Daniel W., and Kathleen C. Buckwalter. "Researching and evaluating model geriatric mental health programs, part I: Design of mental health evaluation studies." Archives of Psychiatric Nursing 5, no. 1 (1991): 3–9. http://dx.doi.org/10.1016/0883-9417(91)90003-n.

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25

Lee, Rebecca Anne, and Mary Elizabeth Jung. "Evaluation of an mHealth App (DeStressify) on University Students’ Mental Health: Pilot Trial." JMIR Mental Health 5, no. 1 (2018): e2. http://dx.doi.org/10.2196/mental.8324.

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Background One in five Canadians experience mental health issues with those in the age range of 15 to 24 years being most at risk of a mood disorder. University students have shown significantly higher rates of mental health problems than the general public. Current university support services are limited by factors such as available staff and finances, and social stigma has frequently been identified as an additional barrier that prevents students from accessing these resources. Mobile health (mHealth) apps are one form of alternative health support that is discrete and accessible to students, and although they are recognized as a promising alternative, there is limited research demonstrating their efficacy. Objective The aim of this study was to evaluate a mindfulness-based app’s (“DeStressify”) efficacy on stress, anxiety, depressive symptomology, sleep behavior, work or class absenteeism, work or school productivity, and quality of life (QoL) among university students. Methods Full-time undergraduate students at a Canadian university with smartphones and Internet access were recruited through in-class announcements and on-campus posters. Participants randomized into an experimental condition were given and instructed to use the DeStressify app 5 days a week for 4 weeks. Control condition participants were wait-listed. All participants completed pre- and postintervention Web-based surveys to self-assess stress, anxiety, depressive symptomatology, sleep quality, and health-related QoL. Results A total of 206 responses were collected at baseline, with 163 participants completing the study (86 control, 77 experimental). Using DeStressify was shown to reduce trait anxiety (P=.01) and improve general health (P=.001), energy (P=.01), and emotional well-being (P=.01) in university students, and more participants in the experimental condition believed their productivity improved between baseline and postintervention measurements than the number of participants expected to believe so randomly by chance (P=.01). The app did not significantly improve stress, state anxiety, physical and social functioning, and role limitations because of physical or emotional health problems or pain (P>.05). Conclusions Mindfulness-based apps may provide an effective alternative support for university students’ mental health. Universities and other institutions may benefit from promoting the use of DeStressify or other mindfulness-based mHealth apps among students who are interested in methods of anxiety management or mindfulness-based self-driven health support. Future steps include examining DeStressify and similar mHealth apps over a longer period and in university staff and faculty.
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Singh, Bruce, Graeme Hawthorne, and Theo Vos. "The Role of Economic Evaluation in Mental Health Care." Australian & New Zealand Journal of Psychiatry 35, no. 1 (2001): 104–17. http://dx.doi.org/10.1046/j.1440-1614.2001.00845.x.

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Objective: A consequence of the integration of psychiatry into acute and public health medicine is that psychiatrists are being asked to evaluate their services. There is pressure on mental health-care systems because it is recognized that funds should be directed where they can provide the best health outcomes, and also because there are resource constraints which limit our capacity to meet all demands for health care. This pressure can be responded to by evaluation which demonstrates the effectiveness and efficiency of psychiatric treatment. This paper seeks to remind psychiatrists of the fundamental principles of economic evaluation in the hope that these will enable psychiatrists to understand the methods used in evaluation and to work comfortably with evaluators. Method: The paper reviews the basic principles behind economic evaluation, illustrating these with reference to case studies. It describes: (i) the cost of the burden of illness and treatment, and how these costs are measured; (ii) the measurement of treatment outcomes, both as changes in health status and as resources saved; and (iii) the various types of economic evaluation, including cost-minimization, cost-effectiveness, cost-utility and cost–benefit analysis. Results: The advice in the paper provides psychiatrists with the necessary background to work closely with evaluators. A checklist of the critical questions to be addressed is provided as a guide for those undertaking economic evaluations. Conclusions: If psychiatrists are willing to learn the basic principles of economic evaluation and to apply these, they can respond to the challenges of evaluation.
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McCrone, P. "Mental health economics: current methodological issues." Epidemiology and Psychiatric Sciences 20, no. 3 (2011): 239–43. http://dx.doi.org/10.1017/s2045796011000485.

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Background:Investment in innovative mental health care services requires the use of scarce resources that could be used in alternative ways. Economic evaluation is essential to ensure that such an investment is appropriately compared with investment elsewhere.Method:A non-systematic review of mental health evaluations identifies key methodological issues pertaining to economic studies.Results:Economic evaluations require the measurement and combination of costs and outcomes, and clarity about how this measurement is undertaken is required. Regarding costs, important considerations relate to the perspective to be taken (e.g., health service or societal), method of measurement (patient self-report or use of databases) and valuation (actual costs, fees or expenditure). Decision makers frequently need to compare evidence both within and between clinical areas and therefore there is a tension between the use of condition specific and generic outcome measures. Quality-adjusted life years are frequently used in economic evaluations, but their appropriateness in mental health care studies is still debated.Conclusions:Economic evaluations in the area of mental health care are increasing in number and it is essential that researchers continue to develop and improve methods used to conduct such studies.
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Gonçalves, Juliane Piasseschi de Bernardin, Giancarlo Lucchetti, Frederico C. Leão, Paulo R. Menezes, and Homero Vallada. "Evaluation of religious/spiritual complementary therapy in mental health." Revista Debates em Psiquiatria Ano 5 (December 1, 2015): 21–27. http://dx.doi.org/10.25118/2236-918x-5-6-4.

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Diversos estudos têm sido publicados sobre a influência das crenças e práticas espirituais e religiosas na saúde mental. Diante de tais evidências, foram propostas estratégias com o objetivo de estimular a dimensão espiritual de pacientes, focando-se principalmente no enfrentamento de diferentes doenças. Porém, ainda são poucos os estudos que avaliam os possíveis efeitos e mecanismos de ação dessas intervenções espirituais/religiosas (IERs) através de ensaios clínicos randomizados. De acordo com a literatura científica, as IERs têm obtido resultados similares ou superiores a outras abordagens complementares em saúde, incluindo redução de sintomas de ansiedade e estresse, diminuição na intensidade do consumo de drogas, menor exaustão emocional em profissionais da saúde e uma tendência a menor sintomatologia depressiva. Como essas intervenções são heterogêneas, há uma discussão acerca da adequação dos conteúdos das IERs, na tentativa de uniformizar o treinamento dos profissionais de saúde e o material ofertado aos pacientes. Notase, também, a necessidade de um cuidado no desenho metodológico desse tipo de intervenção, com a realização de estudos com metodologias mais robustas. A busca e avaliação dessas novas intervenções poderão auxiliar no desenvolvimento de estratégias mais integrativas, facilitando o tratamento complementar em saúde mental.
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Martin, Claudia J., Linda De Caestecker, Robert Hunter, Alan Gilloran, Daniel Allsobrook, and Lyn M. Jones. "Developing community mental health services: an evaluation of Glasgow’s mental health resource centres." Health & Social Care in the Community 7, no. 1 (1999): 51–60. http://dx.doi.org/10.1046/j.1365-2524.1999.00149.x.

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30

Shearer, James, and Sarah Byford. "The basics of economic evaluation in mental healthcare." BJPsych Advances 21, no. 5 (2015): 345–53. http://dx.doi.org/10.1192/apt.bp.114.013003.

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SummaryEconomic evaluation involves the comparative analysis of the costs and consequences of alternative (different) treatment options. Economic evaluations provide decision makers with information about the relative value for money, or cost-effectiveness, of various treatment programmes. The relative cost-effectiveness of new interventions is a key consideration in health technology assessments by the UK's National Institute for Health and Care Excellence, and economic evaluations alongside randomised controlled trials are routinely requested by funders such as the National Institute for Health Research. This article outlines some of the key concepts and issues in the economic evaluation of mental healthcare.
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Korkmaz, Mustafa. "Evaluation of physical and mental health of sexual assault cases applied to forensic medicine department." Dicle Medical Journal 41, no. 4 (2014): 656–61. http://dx.doi.org/10.5798/diclemedj.0921.2014.04.0494.

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32

Price, Owen, Paul Burbery, Sarah-Jayne Leonard, and Michael Doyle. "Evaluation of safewards in forensic mental health." Mental Health Practice 19, no. 8 (2016): 14–21. http://dx.doi.org/10.7748/mhp.19.8.14.s17.

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Hunter, Jill, Linda Pearson, Mehera San Roque, and Zac Steel. "Asylum Adjudication, Mental Health and Credibility Evaluation." Federal Law Review 41, no. 3 (2013): 471–95. http://dx.doi.org/10.22145/flr.41.3.4.

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This article examines the central role that credibility assessment plays in refugee determinations. It draws on the authors' own empirical study, Tales of the Unexpected, to display the complex ways in which applicants' poor mental health can affect their capacity to present a 'coherent and plausible‘ account of their experiences. The authors then explore the significant issues arising from the tendency revealed in the Tales study for decision makers to dismiss expert opinions expressed in reports tendered by applicants from psychologists specialising in cross-cultural mental health assessment. For example, consider the decision maker who observed that [The] psychologist reported that the Applicant was suffering from post-traumatic stress disorder and depression and that this psychological state was likely to affect his ability to answer questions at an RRT hearing …. [Nevertheless] [Mr S] did not display any difficulty in understanding or answering questions. … He [appeared] alert, engaged, and is clearly an intelligent man. I do not accept that he had any difficulty in understanding proceedings or answering questions.5
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34

Wand, Timothy, Kathryn White, and Joanna Patching. "Contemporary Mental Health Program Implementation and Evaluation." Issues in Mental Health Nursing 31, no. 11 (2010): 716–22. http://dx.doi.org/10.3109/01612840.2010.503008.

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35

Bamgbade, B. A., T. C. Harrision, and J. C. Barner. "Mental Health Literacy Theory: A Critical Evaluation." Value in Health 17, no. 3 (2014): A33. http://dx.doi.org/10.1016/j.jval.2014.03.202.

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36

Marks, Isaac, Joseph Connolly, and Matthijs Muijen. "New Directions in Mental Health Care Evaluation." Bulletin of the Royal College of Psychiatrists 12, no. 2 (1988): 78. http://dx.doi.org/10.1192/pb.12.2.78.

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Mental health care evaluation is a priority area as mental health care services are changing rapidly, more than are most other medical services. Budgets are finite, and there is concern for value for money in meeting the needs of patients and families. A one-day workshop brought together leading figures in the USA and Europe to discuss how a unit and consortium might be established to give cohesion and catalyse evaluative research in this fragmented field in the UK. Sound scientific data are available which have not yet been widely disseminated or used in policy making. There are rich opportunities for cross-national projects. The USA has intriguing innovations in evaluative research in mental health, some on a large scale, and these are relevant to the UK.
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Ciarlo, James A., and Charles Windle. "Mental health program evaluation and needs assessment." New Directions for Program Evaluation 1988, no. 37 (1988): 99–120. http://dx.doi.org/10.1002/ev.1477.

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Häfner, Heinz, and Wolfram an der Heiden. "The Evaluation of Mental Health Care Systems." British Journal of Psychiatry 155, no. 1 (1989): 12–17. http://dx.doi.org/10.1192/bjp.155.1.12.

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While the demand for deinstitutionalisation, strongly supported by the economic aspect of the issue, has resulted in a steep decline in the number of psychiatric beds in many Western countries, the evaluation of extramural psychiatric care has several difficulties, including that of proving effectiveness without experimental control of confounding influences. For a cohort of schizophrenic patients we investigated the impact of outpatient psychiatric treatment on length of stay in hospital and length of stay in the community. Outpatient care had a significant influence on read mission, but no effect on the length of inpatient treatment. While the average cost of community care was less than half that of traditional hospital care, in 6% of the patients this threshold value of continued inpatient care was exceeded. There also seems to be a non-monetary threshold, above which community care is no longer appropriate.
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Checinski, Ken, and Kim Goddard. "The evaluation of mental health care systems." British Journal of Psychiatry 156, no. 1 (1990): 129–30. http://dx.doi.org/10.1192/bjp.156.1.129b.

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Hunter, Jill, Linda Pearson, Mehera San Roque, and Zac Steel. "Asylum Adjudication, Mental Health and Credibility Evaluation." Federal Law Review 41, no. 3 (2013): 471–95. http://dx.doi.org/10.1177/0067205x1304100304.

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41

Ettner, Randi. "Mental Health Evaluation for Gender Confirmation Surgery." Clinics in Plastic Surgery 45, no. 3 (2018): 307–11. http://dx.doi.org/10.1016/j.cps.2018.03.002.

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42

Rego, Benita. "Social Media Analysis for Mental Health Evaluation." International Journal for Research in Applied Science and Engineering Technology 9, no. 4 (2021): 1453–60. http://dx.doi.org/10.22214/ijraset.2021.33962.

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43

Köteles, Ferenc, Péter Simor, and György Bárdos. "Validation and psychometric evaluation of the Hungarian version of the Short Health Anxiety Inventory (SHAI)." Mentálhigiéné és Pszichoszomatika 12, no. 3 (2011): 191–213. http://dx.doi.org/10.1556/mental.12.2011.3.1.

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Cseh, Károly, Gyula Szabó, Gyula Marada, and András Szentpétery. "Oral health related quality of life: development and evaluation of two abbreviated Hungarian OHIP versions." Mentálhigiéné és Pszichoszomatika 9, no. 1 (2008): 81–96. http://dx.doi.org/10.1556/mental.9.2008.1.4.

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Lykomitrou, Aikaterini, Mary Geitona, Stelios Stylianidis, Stella Pantelidou, and Kyriakos Souliotis. "Economic Evaluation of Mobile Mental Health Units in Greece: The Case of Cyclades Islands." Health 12, no. 07 (2020): 891–903. http://dx.doi.org/10.4236/health.2020.127066.

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46

Sartorius, Norman. "Evaluating mental health services. A world perspective." Epidemiologia e psichiatria sociale. Monograph Supplement 6, S1 (1997): 239–45. http://dx.doi.org/10.1017/s182743310000099x.

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Evaluations of mental health services are much in demand. Their results are supposed to help in improving the quality of mental health care and in making them economically better viable.Yet, world-wide there is: 1)little agreement about the content of terms such as evaluation, mental health service, outcome of an activity although these and other terms are widely used;2)uncertainty about the best use of results of evaluative research;3)lack of consensus about who should evaluate what and by what method.
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Baumel, Amit, and Fred Muench. "Heuristic Evaluation of Ehealth Interventions: Establishing Standards That Relate to the Therapeutic Process Perspective." JMIR Mental Health 3, no. 1 (2016): e5. http://dx.doi.org/10.2196/mental.4563.

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In recent years, the number of available eHealth interventions aimed at treating behavioral and mental health challenges has been growing. From the perspective of health care providers, there is a need for eHealth interventions to be evaluated prior to clinical trials and for the limited resources allocated to empirical research to be invested in the most promising products. Following a literature review, a gap was found in the availability of eHealth interventions evaluation principles related to the patient experience of the therapeutic process. This paper introduces principles and concepts for the evaluation of eHealth interventions developed as a first step in a process to outline general evaluation guidelines that relate to the clinical context from health care providers’ perspective. Our approach was to conduct a review of literature that relates to the examination of eHealth interventions. We identified the literature that was most relevant to our study and used it to define guidelines that relate to the clinical context. We then compiled a list of heuristics we found to be useful for the evaluation of eHealth intervention products’ suitability for empirical examination. Four heuristics were identified with respect to the therapeutic process: (1) the product’s ease of use (ie, usability), (2) the eHealth intervention’s compatibility with the clinical setting, (3) the presence of tools that make it easier for the user to engage in therapeutic activities, and (4) the provision of a feasible therapeutic pathway to growth. We then used this set of heuristics to conduct a detailed examination of MyFitnessPal. This line of work could help to set the bar higher for product developers and to inform health care providers about preferred eHealth intervention designs.
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48

Madan, I., M. Henderson, A. Hashtroudi, V. Hope, and S. B. Harvey. "Prospective evaluation of mental health training for occupational health practitioners." Occupational Medicine 63, no. 3 (2013): 217–23. http://dx.doi.org/10.1093/occmed/kqt008.

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49

Mateus, M. A. B., C. S. S. Silva, and O. S. N. Neves. "Mental health evaluation of elderly people in primary health care." European Psychiatry 23 (April 2008): S396. http://dx.doi.org/10.1016/j.eurpsy.2008.01.1369.

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50

Hinrichsen, Carsten, Vibeke Jenny Koushede, Katrine Rich Madsen, et al. "Implementing Mental Health Promotion Initiatives—Process Evaluation of the ABCs of Mental Health in Denmark." International Journal of Environmental Research and Public Health 17, no. 16 (2020): 5819. http://dx.doi.org/10.3390/ijerph17165819.

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Treatment and prevention alone are unlikely to make a significant difference in reducing the burden of poor mental health and mental illness. Therefore, mental health promotion (MHP) initiatives are advocated. In 2014, the ABCs of mental health (ABCs) partnership was established in Denmark; in the partnership, partner organisations, e.g., municipalities and NGOs, use a research-based framework for MHP, the ABC-framework, to develop and implement MHP initiatives. This paper has two aims: (1) to outline the overall characteristics of these MHP initiatives; and (2) to explore local coordinator and stakeholder perceptions of the implementation processes and the impact of the MHP initiatives. Questionnaire surveys, individual interviews and group interviews were conducted during 2017–2020. The MHP initiatives were grouped according to three strategies: building MHP capacity, campaign activities to promote mental health awareness and knowledge and establishing and promoting opportunities to engage in mentally healthy activities. The ABC-framework was positively received and viewed as providing relevant knowledge for working with MHP as well as fostering intersectoral and interprofessional collaborations. However, using a bottom-up approach to develop and implement MHP initiatives can be time-consuming and resource demanding, and it requires a deliberate balancing of local adaptability and concrete guidance when engaging stakeholders and implementers. Overall, using the ABC-framework to develop and implement MHP initiatives holds great promise for advancing and promoting MHP practice.
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