Journal articles: 'Mental health measure'

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Le Grand, Damaris, Earle Kessler, and Barnaby Reeves. "The Avon Mental Health Measure." Mental Health Review Journal 1, no. 4 (December 1996): 31–32. http://dx.doi.org/10.1108/13619322199600042.

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Jung, Hyejin, Kirk von Sternberg, and King Davis. "Expanding a measure of mental health literacy: Development and validation of a multicomponent mental health literacy measure." Psychiatry Research 243 (September 2016): 278–86. http://dx.doi.org/10.1016/j.psychres.2016.06.034.

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Windsor, Timothy D., Bryan Rodgers, Peter Butterworth, Kaarin J. Anstey, and Anthony F. Jorm. "Measuring Physical and Mental Health using the SF-12: Implications for Community Surveys of Mental Health." Australian & New Zealand Journal of Psychiatry 40, no. 9 (September 2006): 797–803. http://dx.doi.org/10.1080/j.1440-1614.2006.01886.x.

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Objective: The effects of using different approaches to scoring the SF-12 summary scales of physical and mental health were examined with a view to informing the design and interpretation of community-based survey research. Method: Data from a population-based study of 7485 participants in three cohorts aged 20-24, 40-44 and 60-64 years were used to examine relationships among measures of physical and mental health calculated from the same items using the SF-12 and RAND12 approaches to scoring, and other measures of chronic physical conditions and psychological distress. Results: A measure of physical health constructed using the RAND-12 scoring showed a monotonic negative association with psychological distress as measured by the Goldberg depression and anxiety scales. However, a non-monotonic association was evident in the relationship between SF-12 physical health scores and distress, with very high SF-12 physical health scores corresponding with high levels of distress. These relationships highlight difficulties in interpretation that can arise when using the SF-12 summary scales in some analytical contexts. Conclusions: It is recommended that community surveys that measure physical and mental functioning using the SF-12 items generate summary scores using the RAND-12 protocol in addition to the SF-12 approach. In general, researchers should be wary of using factor scores based on orthogonal rotation, which assumes that measures are uncorrelated, to represent constructs that have an actual association.

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Maunder, Robert G., and Jonathan J. Hunter. "An Internet Resource for Self-Assessment of Mental Health and Health Behavior: Development and Implementation of the Self-Assessment Kiosk." JMIR Mental Health 5, no. 2 (May 16, 2018): e39. http://dx.doi.org/10.2196/mental.9768.

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Background Standardized measurement of physical and mental health is useful for identification of health problems. Personalized feedback of the results can influence health behavior, and treatment outcomes can be improved by monitoring feedback over time. However, few resources are available that are free for users, provide feedback from validated measurement instruments, and measure a wide range of health domains. Objective This study aimed to develop an internet self-assessment resource that fills the identified gap and collects data to generate and test hypotheses about health, to test its feasibility, and to describe the characteristics of its users. Methods The Self-Assessment Kiosk was built using validated health measurement instruments and implemented on a commercial internet survey platform. Data regarding usage and the characteristics of users were collected over 54 weeks. The rate of accrual of new users, popularity of measurement domains, frequency with which multiple domains were selected for measurement, and characteristics of users who chose particular questionnaires were assessed. Results Of the 1435 visits, 441 (30.73%) were visiting for the first time, completed at least 1 measure, indicated that their responses were truthful, and consented to research. Growth in the number of users over time was approximately linear. Users were skewed toward old age and higher income and education. Most (53.9%, 234/434) reported at least 1 medical condition. The median number of questionnaires completed was 5. Internal reliability of most measures was good (Cronbach alpha>.70), with lower reliability for some subscales of coping (self-distraction alpha=.35, venting alpha=.50, acceptance alpha=.51) and personality (agreeableness alpha=.46, openness alpha=.45). The popular questionnaires measured depression (61.0%, 269/441), anxiety (60.5%, 267/441), attachment insecurity (54.2%, 239/441), and coping (46.0%, 203/441). Demographic characteristics somewhat influenced choice of instruments, accounting for <9% of the variance in this choice. Mean depression and anxiety scores were intermediate between previously studied populations with and without mental illness. Modeling to estimate the sample size required to study relationships between variables suggested that the accrual of users required to study the relationship between 3 variables was 2 to 3 times greater than that required to study a single variable. Conclusions The value of the Self-Assessment Kiosk to users and the feasibility of providing this resource are supported by the steady accumulation of new users over time. The Self-Assessment Kiosk database can be interrogated to understand the relationships between health variables. Users who select particular instruments tend to have scores that are higher than those found in the general population, indicating that instruments are more likely to be selected when they are salient. Self-selection bias limits generalizability and needs to be taken into account when using the Self-Assessment Kiosk database for research. Ethical issues that were considered in developing and implementing the Self-Assessment Kiosk are discussed.

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Perry, Jonathan, and David Felce. "Measure for Measure: How do Measures of Quality of Life Compare?" British Journal of Learning Disabilities 23, no. 4 (December 1995): 134–37. http://dx.doi.org/10.1111/j.1468-3156.1995.tb00182.x.

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Chang, Y. C., S. H. Ailey, T. Heller, and M. D. Chen. "Rasch Analysis of the Mental Health Recovery Measure." American Journal of Occupational Therapy 67, no. 4 (June 24, 2013): 469–77. http://dx.doi.org/10.5014/ajot.2013.007492.

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Fulcher, Emily, and Helen Pote. "Psychometric properties of global mental health literacy measures." Mental Health Review Journal 26, no. 1 (January 6, 2021): 87–99. http://dx.doi.org/10.1108/mhrj-04-2020-0022.

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Purpose Since its initial development, numerous mental health literacy (MHL) definitions and associated measures have been created which have yet to be adequately evaluated. This paper aims to evaluate the psychometric properties of global MHL measures with the aim of identifying the most valid, reliable, responsive and interpretable measure. Design/methodology/approach A systematic review was conducted of studies that evaluated global MHL measures against at least one of the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) taxonomy properties; validity, reliability, responsivity or interpretability. Findings In total, 13 studies were identified which examined the psychometric properties of 7 MHL measures. Two of these seven measures were vignette format and the remaining five measures were questionnaires. The mental health promoting knowledge-10 and the multicomponent mental health literacy measure were the most psychometrically robust global MHL measures as they had the most psychometric properties rated as adequate. Both were shown to have adequate structural validity, internal consistency and construct validity. The two vignette measures, the MHL tool for the workplace and the vignette MHL measure, were both shown to only have adequate evidence for construct validity. Originality/value The current study is the first to systematically review research that evaluated the psychometric properties of global measures of MHL.

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Orpana, Heather, Julie Vachon, Jennifer Dykxhoorn, and Gayatri Jayaraman. "Measuring positive mental health in Canada: construct validation of the Mental Health Continuum—Short Form." Health Promotion and Chronic Disease Prevention in Canada 37, no. 4 (April 2017): 123–30. http://dx.doi.org/10.24095/hpcdp.37.4.03.

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Introduction Positive mental health is increasingly recognized as an important focus for public health policies and programs. In Canada, the Mental Health Continuum—Short Form (MHC-SF) was identified as a promising measure to include on population surveys to measure positive mental health. It proposes to measure a three-factor model of positive mental health including emotional, social and psychological well-being. The purpose of this study was to examine whether the MHC-SF is an adequate measure of positive mental health for Canadian adults. Methods We conducted confirmatory factor analysis (CFA) using data from the 2012 Canadian Community Health Survey (CCHS)—Mental Health Component (CCHS-MH), and cross-validated the model using data from the CCHS 2011–2012 annual cycle. We examined criterion-related validity through correlations of MHC-SF subscale scores with positively and negatively associated concepts (e.g. life satisfaction and psychological distress, respectively). Results We confirmed the validity of the three-factor model of emotional, social and psychological well-being through CFA on two independent samples, once four correlated errors between items on the social well-being scale were added. We observed significant correlations in the anticipated direction between emotional, psychological and social well-being scores and related concepts. Cronbach’s alpha for both emotional and psychological well-being subscales was 0.82; for social well-being it was 0.77. Conclusion Our study suggests that the MHC-SF measures a three-factor model of positive mental health in the Canadian population. However, caution is warranted when using the social well-being scale, which did not function as well as the other factors, as evidenced by the need to add several correlated error terms to obtain adequate model fit, a higher level of missing data on these questions and weaker correlations with related constructs. Social well-being is important in a comprehensive measure of positive mental health, and further research is recommended.

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Hunter, R., R. Cameron, and J. Norrie. "396 – Avon mental health measure: A useful patient-reported needs assessment measure." Schizophrenia Research 98 (February 2008): 197. http://dx.doi.org/10.1016/j.schres.2007.12.463.

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Jones, Steven H., Graham Thornicroft, Michael Coffey, and Graham Dunn. "A Brief Mental Health Outcome Scale." British Journal of Psychiatry 166, no. 5 (May 1995): 654–59. http://dx.doi.org/10.1192/bjp.166.5.654.

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BackgroundThe Global Assessment of Functioning (GAF) is a quick and simple measure of overall psychological disturbance. However, there is little research on the reliability and validity of this measure in severely mentally ill populations.MethodMultidisciplinary keyworkers assessed 103 patients at monthly intervals over a 6-month period. Overall GAF scores were obtained, with additional separate ratings for symptoms and disability. These were compared with changes in antipsychotic medication and support needs over the same period.ResultsSatisfactory reliability was obtained for total GAF score and for symptom and disability measures, in spite of raters having only one brief training session. All GAF scores were associated with current support needs of patients. Symptom and disability scores were associated with changes in antipsychotic medication in the previous month. Only symptom score was associated with increases in antipsychotic medication at time of rating.ConclusionAF proved to be a reliable and, within the limits of the indicators used, a valid measure of psychiatric disturbance in our sample of the severely mentally ill. Differences in relationships between the three GAF scores and medication/support needs indicate the usefulness of obtaining all three scores for monitoring levels and type of psychiatric disturbance in this population.

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Duncan, David F., Ginger J. Bomar, Thomas Nicholson, Richard Wilson, and Wayne Higgins. "Health Practices and Mental Health Revisited." Psychological Reports 77, no. 1 (August 1995): 205–6. http://dx.doi.org/10.2466/pr0.1995.77.1.205.

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The relationships of seven health practices with a measure of mental well-being were explored in a sample of 490 university students. Mental well-being was associated with moderate exercise and regular sleep.

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Choi, Isabella, David N. Milne, Mark Deady, Rafael A. Calvo, Samuel B. Harvey, and Nick Glozier. "Impact of Mental Health Screening on Promoting Immediate Online Help-Seeking: Randomized Trial Comparing Normative Versus Humor-Driven Feedback." JMIR Mental Health 5, no. 2 (April 5, 2018): e26. http://dx.doi.org/10.2196/mental.9480.

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Background Given the widespread availability of mental health screening apps, providing personalized feedback may encourage people at high risk to seek help to manage their symptoms. While apps typically provide personal score feedback only, feedback types that are user-friendly and increase personal relevance may encourage further help-seeking. Objective The aim of this study was to compare the effects of providing normative and humor-driven feedback on immediate online help-seeking, defined as clicking on a link to an external resource, and to explore demographic predictors that encourage help-seeking. Methods An online sample of 549 adults were recruited using social media advertisements. Participants downloaded a smartphone app known as “Mindgauge” which allowed them to screen their mental wellbeing by completing standardized measures on Symptoms (Kessler 6-item Scale), Wellbeing (World Health Organization [Five] Wellbeing Index), and Resilience (Brief Resilience Scale). Participants were randomized to receive normative feedback that compared their scores to a reference group or humor-driven feedback that presented their scores in a relaxed manner. Those who scored in the moderate or poor ranges in any measure were encouraged to seek help by clicking on a link to an external online resource. Results A total of 318 participants scored poorly on one or more measures and were provided with an external link after being randomized to receive normative or humor-driven feedback. There was no significant difference of feedback type on clicking on the external link across all measures. A larger proportion of participants from the Wellbeing measure (170/274, 62.0%) clicked on the links than the Resilience (47/179, 26.3%) or Symptoms (26/75, 34.7%) measures (χ2=60.35, P<.001). There were no significant demographic factors associated with help-seeking for the Resilience or Wellbeing measures. Participants with a previous episode of poor mental health were less likely than those without such history to click on the external link in the Symptoms measure (P=.003, odds ratio [OR] 0.83, 95% CI 0.02-0.44), and younger adults were less likely to click on the link compared to older adults across all measures (P=.005, OR 0.44, 95% CI 0.25-0.78). Conclusions This pilot study found that there was no difference between normative and humor-driven feedback on promoting immediate clicks to an external resource, suggesting no impact on online help-seeking. Limitations included: lack of personal score control group, limited measures of predictors and potential confounders, and the fact that other forms of professional help-seeking were not assessed. Further investigation into other predictors and factors that impact on help-seeking is needed. Trial Registration Australian New Zealand Clinical Trials Registry ACTRN12616000707460; https://www.anzctr.org.au/ Trial/Registration/TrialReview.aspx?id=370187 (Archived by WebCite at http://www.webcitation.org/6y8m8sVxr)

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Thompson, Emma, Jade Sheen, and Darryl Maybery. "Measuring Recovery in Parents Experiencing Mental Health Problems." Journal of Family Nursing 25, no. 2 (March 1, 2019): 219–59. http://dx.doi.org/10.1177/1074840719829247.

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Parenting is a fundamental life domain with increasing evidence suggesting the parenting role has the capacity to inform and promote mental health recovery. Two reviews examined the current tools available to assess parenting in the context of recovery. Review one identified 35 quantitative measures of parenting used in interventions for parents with mental health problems. None of these measures appeared to consider parenting from a recovery orientation. Review two identified 25 measures of personal recovery; however, none appeared to consider the parenting role. Despite the fundamental life role of parenting, our ability to measure these constructs appears limited. Further research is warranted into the development of a measure of recovery that considers the parenting role.

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O’Connor, Matt, and Leanne Casey. "The Mental Health Literacy Scale (MHLS): A new scale-based measure of mental health literacy." Psychiatry Research 229, no. 1-2 (September 2015): 511–16. http://dx.doi.org/10.1016/j.psychres.2015.05.064.

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O’Brien, William H., Paul W. Goetz, Heather McCarren, Eileen Delaney, William F. Morrison, Tanya S. Watford, and Kristin A. Horan. "Job Satisfaction Among Mental Health Workers." Journal of Psychophysiology 33, no. 1 (January 1, 2019): 32–38. http://dx.doi.org/10.1027/0269-8803/a000203.

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Abstract. Work characteristics such as job satisfaction have been associated with mental and physical health outcomes in several cross-sectional and longitudinal studies. However, meta-analytic reviews indicate that nearly all of the reported relationships between these two sets of constructs rely on self-report measures. Thus, the magnitude of the reported relationships may be inaccurate and inflated due to common method variance (mono-method bias) and negative affectivity. Respiratory sinus arrhythmia (RSA) is an objective measure of risk for adverse mental health and physical health outcomes. To our knowledge, there has been no investigation of the relationship between job satisfaction and respiratory sinus arrhythmia. In this investigation, 29 workers in mental health settings who experience higher than average levels of work stress due to the amount and unpredictability of workload completed sociodemographic measures and a job satisfaction measure. RSA was then collected during a resting baseline, a worry induction stressor condition where they were instructed to think about work stressors, and a post-stress recovery condition. RSA reactivity to the stressor was significantly greater for participants with low job satisfaction. The low job satisfaction participants also demonstrated less RSA recovery after the stressor ended. Alternatively, participants with higher job satisfaction reacted less and recovered more completely from the stressor.

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de Cates, Angharad, Saverio Stranges, Amy Blake, and Scott Weich. "Mental well-being: An important outcome for mental health services?" British Journal of Psychiatry 207, no. 3 (September 2015): 195–97. http://dx.doi.org/10.1192/bjp.bp.114.158329.

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SummaryMental well-being is being used as an outcome measure in mental health services. The recent Chief Medical Officer's (CMO's) report raised questions about mental well-being in people with mental illness, including how to measure it. We discuss whether mental well-being has prognostic significance or other utility in this context.

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Moran, V., S. O'Connor, and M. Borowitz. "International approaches to measuring the quality of mental health care." Epidemiology and Psychiatric Sciences 22, no. 1 (January 23, 2013): 3–7. http://dx.doi.org/10.1017/s2045796012000704.

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The importance of measuring the quality of mental health care is widely recognized. A number of factors should be considered when constructing mental health quality indicators including the aspects of care to be measured; translation of quality measurement concepts into indicators that can be measured; pilot-testing, analysis and display of measures; and maintaining effectiveness of performance measures and policies over time. The impetus to measure quality in mental health care may be dampened by the innumerable challenges inherent in this worthwhile endeavour. In particular, many countries lack adequate quality measurement infrastructure. Challenges may be overcome to a certain extent by international collaboration. While cross-country co-operation can also introduce additional complexities; its benefits usually outweigh the costs. Quality indicators can have many uses but of utmost importance is that quality measurement in mental health care subsequently results in quality improvements.

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Walęcka-Matyja (katarzyna.walecka@uni.lodz.p, Katarzyna. "Familism – the concept, measure and importance for mental health." Psychiatria Polska 54, no. 4 (August 31, 2020): 791–806. http://dx.doi.org/10.12740/pp/108993.

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Green, Carla A., Nancy A. Perrin, Michael R. Polen, Michael C. Leo, Judith H. Hibbard, and Martin Tusler. "Development of the Patient Activation Measure for Mental Health." Administration and Policy in Mental Health and Mental Health Services Research 37, no. 4 (August 29, 2009): 327–33. http://dx.doi.org/10.1007/s10488-009-0239-6.

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Pandiani, John A., Steven M. Banks, and Lucille M. Schacht. "Using incarceration rates to measure mental health program performance." Journal of Behavioral Health Services & Research 25, no. 3 (August 1998): 300–311. http://dx.doi.org/10.1007/bf02287469.

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Albiez-Gibbons, Anne. "MENTAL HEALTH ACUITY SYSTEM The Measure of Nursing Practice." Journal of Psychosocial Nursing and Mental Health Services 24, no. 7 (July 1986): 16–20. http://dx.doi.org/10.3928/0279-3695-19860701-06.

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Tonn, Peter, Silja Christin Reuter, Isabelle Kuchler, Britta Reinke, Lena Hinkelmann, Saskia Stöckigt, Hanna Siemoneit, and Nina Schulze. "Development of a Questionnaire to Measure the Attitudes of Laypeople, Physicians, and Psychotherapists Toward Telemedicine in Mental Health." JMIR Mental Health 4, no. 4 (October 3, 2017): e39. http://dx.doi.org/10.2196/mental.6802.

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Background In the field of psychiatry and psychotherapy, there are now a growing number of Web-based interventions, mobile phone apps, or treatments that are available via remote transmission screen worldwide. Many of these interventions have been shown to be effective in studies but still find little use in everyday therapeutic work. However, it is important that attitude and expectation toward this treatment are generally examined, because these factors have an important effect on the efficacy of the treatment. To measure the general attitude of the users and prescribers toward telemedicine, which may include, for instance, Web-based interventions or interventions through mobile phone apps, there are a small number of extensive tests. The results of studies based on small groups of patients have been published too, but there is no useful short screening tool to give an insight into the general population’s attitude. We have developed a screening instrument that examines such attitude through a few graded questions. Objective This study aimed to explore the Attitude toward Telemedicine in Psychiatry and Psychotherapy (ATiPP) and to evaluate the results of general population and some subgroups. Methods In a three-step process, the questionnaire, which is available in three versions (laypeople, physicians, and psychologists), was developed. Afterwards, it was evaluated by four groups: population-representative laypeople, outpatients in different faculties, physicians, and psychotherapists. Results The results were evaluated from a total of 1554 questionnaires. The sample population included 1000 laypeople, 455 outpatients, 62 physicians, and 37 psychotherapists. The reliability of all three versions of the questionnaire seemed good, as indicated by the Cronbach alpha values of .849 (the laypeople group), .80 (the outpatients’ group), .827 (the physicians’ group), and .855 (the psychotherapists’ group). Conclusions The ATiPP was found to be useful and reliable for measuring the attitudes toward the Web-based interventions in psychiatry and psychotherapy and should be used in different studies in this field in the future to evaluate and reflect the attitude of the participants.

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Sinha, Kumari Bharti. "Impact of LOC, Conservation and Social Support on Mental Health." Journal of Advanced Research in Journalism & Mass Communication 07, no. 01 (June 15, 2020): 1–3. http://dx.doi.org/10.24321/2395.3810.202001.

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This abstract deals with the impact of LOC [Locus of Control], conservatism and social support on mental health. For this a study was done. The study was conducted on 160 respondents to examine the effect of locus of control, conservatism and social support on mental health. It was hypothesized that locus of control, conservatism and social support would have significant influence on mental health. For the purpose, MMHSI by Thakur and Kumar, Hindi version of Rotter’s Locus of Control Scale by Hasnayan and Joshi, Mohsin’s C-Scale, Social Support Scale by Asthana and Verma along with PDS were used to measure mental status of the respondents respectively. The obtained data were analysed using t-test.

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Banh, My K., Jeremy Chaikind, Hillary A. Robertson, Mary Troxel, Justine Achille, Caroline Egan, and Bruno J. Anthony. "Evaluation of Mental Health First Aid USA Using the Mental Health Beliefs and Literacy Scale." American Journal of Health Promotion 33, no. 2 (July 9, 2018): 237–47. http://dx.doi.org/10.1177/0890117118784234.

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Purpose: This study assessed the impact of Mental Health First Aid (MHFA) in the United States with a theoretically based and psychometrically sound measure, the Mental Health Beliefs and Literacy Scale (MBLS). Design: Online MBLS surveys were administered pre-MHFA training, 3-weeks post-training, and 6-months posttraining. Setting: Mental Health First Aid trainings carried out across the United States. Participants: Six hundred sixty-two trainees were contacted, and 273 (41%) completed the presurvey. Of those, 63% filled out the postsurvey and 35% completed the 6-month survey. Seventy-six individuals completed all 3 surveys. Intervention: Mental Health First Aid is an 8-hour education program to help the general public identify, understand, and respond to signs of mental illness and substance abuse; to date, almost 1 million people have been trained. Measure: The MLBS, based on the Unified Theory of Behavior Change framework, consists of attitudinal, social-, and skill-based constructs affecting the intention to perform and achievement of MHFA actions and reports of their actual completion. Analysis: Change across time points was assessed using multivariate repeated measures analysis of variance. Results: Significant short- and longer term changes were found in internally consistent constructs tapping positive beliefs about MHFA actions, the confidence and intention to perform them as well as mental health literacy. Conclusion: The MBLS documented strong positive effects of MHFA training that were greater in individuals without prior mental health training, the intended targets of MHFA efforts.

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HU, YONGJIAN, SARAH STEWART-BROWN, LIZ TWIGG, and SCOTT WEICH. "Can the 12-item General Health Questionnaire be used to measure positive mental health?" Psychological Medicine 37, no. 7 (February 5, 2007): 1005–13. http://dx.doi.org/10.1017/s0033291707009993.

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Background. Well-being is an important determinant of health and social outcomes. Measures of positive mental health states are needed for population-based research. The 12-item General Health Questionnaire (GHQ-12) has been widely used in many settings and languages, and includes positively and negatively worded items. Our aim was to test the hypothesis that the GHQ-12 assesses both positive and negative mental health and that these domains are independent of one another.Method. Exploratory (EFA) and confirmatory (CFA) factor analyses were conducted using data from the British Household Panel Survey (BHPS) and the Health Survey for England (HSE). Regression models were used to assess whether associations with individual and household characteristics varied across positive and negative mental health dimensions. We also explored higher-level variance in these measures, between electoral wards.Results. We found a consistent, replicable factor structure in both datasets. EFA results indicated a two-factor solution, and CFA demonstrated that this was superior to a one-factor model. These factors correspond to ‘symptoms of mental disorder’ and ‘positive mental health’. Further analyses demonstrated independence of these factors in associations with age, gender, employment status, poor housing and household composition. Statistically significant ward-level variance was found for symptoms of mental disorder but not positive mental health.Conclusions. The GHQ-12 measures both positive and negative aspects of mental health, and although correlated, these dimensions have some independence. The GHQ-12 could be used to measure positive mental health in population-based research.

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Trauer, Tom, Kathy Eagar, and Graham Mellsop. "Ethnicity, deprivation and mental health outcomes." Australian Health Review 30, no. 3 (2006): 310. http://dx.doi.org/10.1071/ah060310.

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Aims: To describe and measure differences between ethnic groups on standard measures of mental health outcome. Methods: Clinical staff in eight New Zealand Health Districts collected consumer outcomes data at the start, end and review of episodes of care. Consumers were allocated to one of three ethnicity groupings ? Maori, Pacific Island and ?All Other?. Results: There were large differences between the three ethnicity groupings on the measures. Maori and Pacific Island consumers appeared to demonstrate more psychotic phenomena and overall worse scores, and the All Other group, more depression. Changes in scores between start and end of episodes of care were proportionately similar across the three groups. Differences between ethnic groupings varied according to socio-economic deprivation level. Conclusions: Potential reasons for some of the effects observed are discussed, including differing pathways to care, clinician and selection bias, and differing models of mental health.

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Di Matteo, Daniel, Alexa Fine, Kathryn Fotinos, Jonathan Rose, and Martin Katzman. "Patient Willingness to Consent to Mobile Phone Data Collection for Mental Health Apps: Structured Questionnaire." JMIR Mental Health 5, no. 3 (August 29, 2018): e56. http://dx.doi.org/10.2196/mental.9539.

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Background It has become possible to use data from a patient’s mobile phone as an adjunct or alternative to the traditional self-report and interview methods of symptom assessment in psychiatry. Mobile data–based assessment is possible because of the large amounts of diverse information available from a modern mobile phone, including geolocation, screen activity, physical motion, and communication activity. This data may offer much more fine-grained insight into mental state than traditional methods, and so we are motivated to pursue research in this direction. However, passive data retrieval could be an unwelcome invasion of privacy, and some may not consent to such observation. It is therefore important to measure patients’ willingness to consent to such observation if this approach is to be considered for general use. Objective The aim of this study was to measure the ownership rates of mobile phones within the patient population, measure the patient population’s willingness to have their mobile phone used as an experimental assessment tool for their mental health disorder, and, finally, to determine how likely patients would be to provide consent for each individual source of mobile phone–collectible data across the variety of potential data sources. Methods New patients referred to a tertiary care mood and anxiety disorder clinic from August 2016 to October 2017 completed a survey designed to measure their mobile phone ownership, use, and willingness to install a mental health monitoring app and provide relevant data through the app. Results Of the 82 respondents, 70 (85%) reported owning an internet-connected mobile phone. When asked about installing a hypothetical mobile phone app to assess their mental health disorder, 41% (33/80) responded with complete willingness to install with another 43% (34/80) indicating potential willingness to install such an app. Willingness to give permissions for specific types of data varied by data source, with respondents least willing to consent to audio recording and analysis (19% [15/80] willing respondents, 31% [25/80] potentially willing) and most willing to consent to observation of the mobile phone screen being on or off (46% [36/79] willing respondents and 23% [18/79] potentially willing). Conclusions The patients surveyed had a high incidence of ownership of internet-connected mobile phones, which suggests some plausibility for the general approach of mental health state inference through mobile phone data. Patients were also relatively willing to consent to data collection from sources that were less personal but expressed less willingness for the most personal communication and location data.

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Nolan, Clodagh. "Community mental health care ideology and the mental health care professional." Irish Journal of Psychological Medicine 12, no. 3 (September 1995): 91–94. http://dx.doi.org/10.1017/s0790966700014506.

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AbstractObjective: To measure the level of commitment by mental health care professionals within the Eastern Health Board to the concept of community mental health.Methods: An adapted version of the Baker-Schulberg Community Mental Health Ideology Scale was administered to a random sample of professionals (psychologists, psychiatrists, psychiatric nurses, community psychiatric nurses, social workers and occupational therapists).Results: Psychiatrists within this study had the lowest scores indicating the least level of commitment, and were also found to focus upon extrinsic issues, such as economic barriers, as possible obstacles to the development of a community mental health service in Ireland.Conclusion: Policy and decision making committees need to address the balance of the mental health care professionals represented on those committees.

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Delin, Catherine R., and Peter S. Delin. "Mental Activity, Health, and Life-Satisfaction." Perceptual and Motor Skills 81, no. 3 (December 1995): 944–46. http://dx.doi.org/10.2466/pms.1995.81.3.944.

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Systematic study of the cultural belief in a relationship between mental health and longevity has not been undertaken. No scale to measure ‘mental activity’ appears available. A questionnaire measuring ‘mental activity’ was administered to 166 community respondents. From a factor analysis 4 clear factors emerged. Factor scores were significantly correlated with scores on life-satisfaction, but few relationships with subscales of a health measure emerged. Some relationships with choice of free-time activities were noted. Further work on the scale and its correlates is recommended.

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Brazier, John. "Measuring and valuing mental health for use in economic evaluation." Journal of Health Services Research & Policy 13, no. 3_suppl (October 2008): 70–75. http://dx.doi.org/10.1258/jhsrp.2008.008015.

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This article presents research undertaken as part of a wider programme of work concerned with measuring and health and wellbeing for economic evaluation. The focus is on developing quality adjusted life years (QALYs) in mental health, but the issues are common across all areas of health care. The article begins by reviewing the issues of what should be valued (health or broader notions of wellbeing), how mental health and wellbeing should be described, how mental health states should be valued and who should do the valuing. The article presents four pieces of work. The first is a re-analysis of the ONS Psychiatric Morbidity 2000 Survey to provide evidence on the relevance of generic measures across different mental health disorders. It found that common mental health problems, such as anxiety and depression, had a significant impact on the generic preference-based measure of health in the SF-6D, but psychosis and personality disorders did not. The article then presents two studies using the ratings of people experiencing the states of health. Both studies found that people experiencing different health states gave mental health greater weight than physical health compared to members of the general public trying to imagine the health states. Finally, the article presents a study developing a condition-specific preference-based measure for calculating QALYs from an existing measure of mental health, the CORE-OM, using modern psychometric methods to construct health states amenable to valuation. It also considers a proposal to develop an entirely new QALY measure in mental health.

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Neto, David Dias, Inês Rocha, Maria João Figueiras, and Ana Nunes Da Silva. "Measuring Mental Health Literacy : Adaptation and Validation of the Portuguese Version of the Mental Health Literacy Scale (MHLS)." European Journal of Mental Health 16, no. 1 (2021): 64–77. http://dx.doi.org/10.5708/ejmh.16.2021.1.5.

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Understanding mental health literacy is essential for promoting empowerment and proactivity in patients, reducing stigma, and increasing population awareness. The constitutive dimensions of mental health literacy are still being researched, and instruments’ research can shed light on the involved processes. The Mental Health Literacy Scale (MHLS) is a self-report measure of mental health literacy. This study aimed to adapt the MHLS to Portuguese and evaluate mental health literacy in a broad sample. A broad sample of 337 individuals participated in the adaptation. Besides filling out the MHLS, the participants were invited to fill out a general lifestyle measure. The global results reveal a good internal consistency of the MHLS. A three-factor structure (i.e., attitudes towards mental illness, knowledge about mental illness, and the ability to recognize symptoms) explained 35% of the total variance. Despite not finding an association with the general lifestyle measure, the MHLS scored higher in women and individuals with higher schooling, as expected. The results reinforce the role of MHLS as a useful measure of mental health literacy. The identified structure is discussed in light of the current understanding and implications of this essential process.

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Salvi, Giovanni, Morven Leese, and Mike Slade. "Routine use of mental health outcome assessments: choosing the measure." British Journal of Psychiatry 186, no. 2 (February 2005): 146–52. http://dx.doi.org/10.1192/bjp.186.2.146.

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BackgroundThere is little consensus about which outcome measures to use in mental healthcare.AimsTo investigate the relationship between the items in four staff-rated measures recommended for routine use.MethodCorrelation analysis of total scores and factor analysis using combined data from the Health of the Nation Outcome Scales (HoNOS). The Camberwell Assessment of Need Short Appraisal Schedule (CANSAS), the Threshold Assessment Grid (TAG) and the Global Assessment of Functioning (GAF) were performed. Procrustes analysis on factors and scales, and Ward's cluster analysis to group the items, were applied.ResultsThe total scores of the measures were moderately correlated. The Procrustes analysis, factor analysis and cluster analysis all agreed on better coverage of the patients' problems by HoNOS and CANSAS.ConclusionsA global severity factor accounts for 16% of the variance, and is best measured with TAG or GAF. The CANSAS and HoNOS each provide a detailed characterisation of the patient; only CANSAS provides information about met needs.

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Trotter, Vinessa K., Michael J. Lambert, Gary M. Burlingame, Frank Rees, Bruce N. Carpenter, Patrick R. Steffen, Aaron Jackson, and Dennis Eggett. "Measuring Work Productivity With a Mental Health Self-Report Measure." Journal of Occupational and Environmental Medicine 51, no. 6 (June 2009): 739–46. http://dx.doi.org/10.1097/jom.0b013e3181a83567.

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Lebow, Jay L. "Acceptability as a simple measure in mental health program evaluation." Evaluation and Program Planning 10, no. 3 (January 1987): 191–95. http://dx.doi.org/10.1016/0149-7189(87)90028-0.

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White, William, and Paul J. Handal. "The Relationship between Death Anxiety and Mental Health/Distress." OMEGA - Journal of Death and Dying 22, no. 1 (February 1991): 13–24. http://dx.doi.org/10.2190/ybtu-176l-d48c-yqk8.

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This study systematically examined the relationship between death anxiety and mental health/distress and controlled for methodological problems present in the literature. Specifically, two measures of death anxiety were used-both had recommended cut-off scores for high death anxiety. Both positive and negative aspects of adjustment were assessed, and a valid clinically meaningful cut-off score for distress was employed. Results revealed high death-anxious females were statistically and clinically more distressed and were significantly less satisfied with life than low death-anxious females. Similar results were obtained for males on one death-anxiety measure; a similar trend was found on the other measure. Discussion focuses on the interpretation of results.

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Segal, Harry G., Geoffrey A. Wood, Debra K. DeMeis, and Heidi L. Smith. "Future Events, Early Experience, and Mental Health." Assessment 10, no. 1 (March 2003): 29–40. http://dx.doi.org/10.1177/1073191102250186.

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This study's goals were (a) to provide convergent validity for the Anticipated Life History measure (ALH), an instrument prompting participants to describe their future life course from their 21st birthday until their death, and (b) to assess the impact of early experience and early memories on the ALH. The ALH narratives were coded for the presence and/or absence of future life events and for five clinical features ( Narrative Integrity, Depression, Fantasy Distortion, Impulsivity, and Malevolence) using a detailed scoring manual. A sample of 285 young adults completed the ALH and a battery of cognitive, mood, and life events measures. The results confirm the utility of this new instrument: Participants whose ALH scored high on the clinical measures also had higher levels of current depression, lower quality-of-life satisfaction, reported more negative early life experiences, and recounted negative early memories.

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Chao, Hsing-Jung, Yin-Ju Lien, Yu-Chen Kao, I.-Chuan Tasi, Hui-Shin Lin, and Yin-Yi Lien. "Mental Health Literacy in Healthcare Students: An Expansion of the Mental Health Literacy Scale." International Journal of Environmental Research and Public Health 17, no. 3 (February 4, 2020): 948. http://dx.doi.org/10.3390/ijerph17030948.

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Objective: Although the recently developed mental health literacy scale showed significant score differences between general population and mental health professionals, to this date there is no published scale intended to specifically assess mental health literacy (MHL) in healthcare students. This study constructed a 26-item scale-based measure to assess multiple components of MHL and associated psychometric properties in a sample of medical and public health students of 11 universities in Taiwan. Methods: The development and validation of the scale comprised three phases: measure development, pilot testing (n = 32), and psychometric properties examination (n = 1294). Results: 26 items were generated for five factors: maintenance of positive mental health, recognition of mental illness, attitude to mental illness stigma, help-seeking efficacy, and help-seeking attitude. The scale demonstrated good content validity, internal consistency, and construct validity (factorial validity, convergent validity, discriminant validity, and known groups validity). Conclusions: The findings suggest that the Mental Health Literacy Scale for Healthcare Students (MHLS-HS) is a valid, reliable, and practical tool for identifying MHL gaps in medical and public health students. It has the potential to inform remedial curricular interventions for educators and evaluate intervention effectiveness.

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Parker, Sarah J., Scott J. Strath, and Ann M. Swartz. "Physical Activity Measurement in Older Adults: Relationships with Mental Health." Journal of Aging and Physical Activity 16, no. 4 (October 2008): 369–80. http://dx.doi.org/10.1123/japa.16.4.369.

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This study examined the relationship between physical activity (PA) and mental health among older adults as measured by objective and subjective PA-assessment instruments. Pedometers (PED), accelerometers (ACC), and the Physical Activity Scale for the Elderly (PASE) were administered to measure 1 week of PA among 84 adults age 55–87 (mean = 71) years. General mental health was measured using the Positive and Negative Affect Scale (PANAS) and the Satisfaction With Life Scale (SWL). Linear regressions revealed that PA estimated by PED significantly predicted 18.1%, 8.3%, and 12.3% of variance in SWL and positive and negative affect, respectively, whereas PA estimated by the PASE did not predict any mental health variables. Results from ACC data were mixed. Hotelling–William tests between correlation coefficients revealed that the relationship between PED and SWL was significantly stronger than the relationship between PASE and SWL. Relationships between PA and mental health might depend on the PA measure used.

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Maindonald, Rebecca, Chris Attoe, Melanie Gasston-Hales, Perah Memon, and Elizabeth Barley. "Mental health crisis training for non-mental health professionals." Journal of Mental Health Training, Education and Practice 15, no. 4 (April 20, 2020): 223–35. http://dx.doi.org/10.1108/jmhtep-11-2019-0062.

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Purpose This study aims to evaluate a training in mental health crisis support for non-mental health professionals who work in urgent care settings. The training consists of an e-learning module, a one-day face-to-face (F2F) interactive study day and simulation training. Design/methodology/approach This multi-methods study collected data pre and post training and at three to six months post training. Validated questionnaires, rating scales and open-ended questions were used to measure self-efficacy in health-care skills, attitudes towards mental illness and knowledge and confidence in working in mental health. A subsample of participants was interviewed post training about how they had used the knowledge and skills learned. Findings A total of 706 staff completed the e-learning, 88 attended the F2F training and 203 attended simulation training. Overall satisfaction with the training was high, with F2F and simulation training preferred. Statistically significant improvements in self-efficacy for health-care skills, positive attitudes towards mental illness, and mental health-related knowledge and confidence were found post training. Qualitative analyses of interview and survey data indicated that participants had translated learning to practice through improved attitudes and behavioural changes when working with patients experiencing a mental health crisis. Originality/value This training improved mental health-related knowledge, confidence and self-efficacy and reduced mental health-related stigma in professionals who provide urgent care to people in mental health crisis. Participants reported changes to their practice following training; this is important as care has been inadequate for this group. Workforce planners and leaders should consider implementing this or similar training widely.

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Dackehag, Margareta, Lina-Maria Ellegård, Ulf-G. Gerdtham, and Therese Nilsson. "Debt and mental health: new insights about the relationship and the importance of the measure of mental health." European Journal of Public Health 29, no. 3 (February 3, 2018): 488–93. http://dx.doi.org/10.1093/eurpub/ckz002.

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Perrin, Sean, and Cynthia G. Last. "Do childhood anxiety measures measure anxiety?" Journal of Abnormal Child Psychology 20, no. 6 (December 1992): 567–78. http://dx.doi.org/10.1007/bf00911241.

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Leach, Chris, Mike Lucock, Michael Barkham, Rachael Noble, Linda Clarke, and Steve Iveson. "Assessing risk and emotional disturbance using the CORE–OM and HoNOS outcome measures at the interface between primary and secondary mental healthcare." Psychiatric Bulletin 29, no. 11 (November 2005): 419–22. http://dx.doi.org/10.1192/pb.29.11.419.

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Aims and MethodThere is interest in how outcome measures routinely used in mental health settings compare with each other in assessing risk and emotional disturbance. The relation between the Clinical Outcomes in Routine Evaluation – Outcome Measure (CORE–OM), a client-completed measure, and the Health of the Nation Outcome Scale (HoNOS), a clinician-completed measure, was explored using data from 297 clients referred to secondary services by a primary care mental health liaison team.ResultsThe correlation between CORE–OM and HoNOS was 0.50, with cluster and factor analyses revealing overlap between the measures in assessing risk to self and others and general emotional issues.Clinical ImplicationsAlthough the measures are typically used in different settings, the overlap suggests that both might be useful in any setting where assessment for mental health problems and risk is needed.

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Israr, Raazia, Dr Mamoona Ismail Loona, and DR Mazhar Iqbal Bhatti. "Impact of Frustration Intolerance on Burnout Among Mental Health Professionals." Journal of Peace, Development & Communication Volume 5, no. 1 (March 30, 2021): 76–85. http://dx.doi.org/10.36968/jpdc-v05-i01-07.

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The present research examined the impact of frustration intolerance on Burnout among Mental Health Professionals. A total of 200 mental health professionals (n=100 males and n=100 females) from different hospitals, clinics and NGOs of Rawalpindi, Islamabad and Lahore, participated in this study. Mental health professionals that participated in present study were psychologists (n=50), psychiatrists (n=50), counsellors (n=50), and occupational therapists (n=50). Maslach burnout inventory was used to measure burnout scores. Frustration discomfort scale was used to measure frustration intolerance. Simple linear regression was used to check the impact of frustration intolerance on burnout. Results indicated that frustration intolerance has a positive impact on burnout. Present research further studied gender differences in burnout and frustration intolerance. Females’ scores were higher on burnout and frustration intolerance measures as compared to males.

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Craig, Neil, and Cameron Stark. "Health economics in mental health. 2: Economic evaluation." Psychiatric Bulletin 21, no. 11 (November 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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Deighton, Jessica, Peter Tymms, Panos Vostanis, Jay Belsky, Peter Fonagy, Anna Brown, Amelia Martin, Praveetha Patalay, and Miranda Wolpert. "The Development of a School-Based Measure of Child Mental Health." Journal of Psychoeducational Assessment 31, no. 3 (November 20, 2012): 247–57. http://dx.doi.org/10.1177/0734282912465570.

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Guthrie, Else, Mathew Harrison, Richard Brown, Rajdeep Sandhu, Peter Trigwell, Seri Abraham, Shazada Nawaz, Peter Kelsall, and Rachel Thomasson. "The development of an outcome measure for liaison mental health services." BJPsych Bulletin 42, no. 3 (March 4, 2018): 109–14. http://dx.doi.org/10.1192/bjb.2017.28.

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Aims and methodTo develop and pilot a clinician-rated outcome scale to evaluate symptomatic outcomes in liaison psychiatry services. Three hundred and sixty patient contacts with 207 separate individuals were rated using six subscales (mood, psychosis, cognition, substance misuse, mind–body problems and behavioural disturbance) plus two additional items (side-effects of medication and capacity to consent for medical treatment). Each item was rated on a five-point scale from 0 to 5 (nil, mild, moderate, severe and very severe).ResultsThe liaison outcome measure was acceptable and easy to use. All subscales showed acceptable interrater reliability, with the exception of the mind–body subscale. Overall, the measure appears to show stability and sensitivity to change.Clinical implicationsThe measure provides a useful and robust way to determine symptomatic change in a liaison mental health setting, although the mind–body subscale requires modification.Declaration of interestNone.

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Yasuhara, Kento, Dana L. Formon, Sarah Phillips, and Elise M. Yenne. "Development of a measure of mental health stigma including police behaviors." Psychiatry, Psychology and Law 26, no. 4 (February 6, 2019): 520–29. http://dx.doi.org/10.1080/13218719.2018.1507845.

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Blais, Mark A., William R. Lenderking, Lee Baer, Ashley deLorell, Kathleen Peets, Linda Leahy, and Craig Burns. "Development and Initial Validation of a Brief Mental Health Outcome Measure." Journal of Personality Assessment 73, no. 3 (December 1999): 359–73. http://dx.doi.org/10.1207/s15327752jpa7303_5.

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Tobon, Juliana I., Graham J. Reid, and Richard D. Goffin. "Continuity of Care in Children’s Mental Health: Development of a Measure." Administration and Policy in Mental Health and Mental Health Services Research 41, no. 5 (September 28, 2013): 668–86. http://dx.doi.org/10.1007/s10488-013-0518-0.

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Laugharne, Richard, Scott Eaves, Alin Mascas, Kiki Psatha, Gill Dinnis, Jonathan Trower, and Rohit Shankar. "Desperately seeking outcomes: quantifying the effectiveness of community mental healthcare using Health of the Nation Outcome Scales." BJPsych Open 4, no. 3 (April 2, 2018): 91–94. http://dx.doi.org/10.1192/bjo.2018.3.

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BackgroundCommunity mental health services in the UK have struggled to measure the clinical effectiveness of their services.AimsTo measure clinical outcomes for different diagnostic clusters.MethodClinicians measure the clinical status of patients by the Health of the Nation Outcome Scales (HoNOS), and HoNOS scores should be recorded annually after treatment. Clinical outcomes were measured by changes in HoNOS for diagnostic clusters.ResultsIn two time periods (2014 and 2016), the health of patients with mild to moderate common mental disorders deteriorated after intervention. Patients with severe common mental disorders and psychoses improved in their clinical status.ConclusionsBritish community mental health teams may be effective in improving the clinical status of people with severe mental illness, but may have a negative effect on people with mild to moderate illnesses. These teams need to focus on the severely mentally ill and build on this demonstrable effectiveness.Declaration of interestNone.

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Journal articles on the topic 'Mental health measure'

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