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1

Goodare, H., and T. Davies. "Mental health assessment." BMJ 315, no. 7116 (November 1, 1997): 1161–62. http://dx.doi.org/10.1136/bmj.315.7116.1161a.

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2

Davies, T. "ABC of mental health: Mental health assessment." BMJ 314, no. 7093 (May 24, 1997): 1536. http://dx.doi.org/10.1136/bmj.314.7093.1536.

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3

RH, Salgado. "Mental Health Nursing Evaluation Form: A Patient Assessment Guide." Nursing & Healthcare International Journal 5, no. 1 (2021): 1–3. http://dx.doi.org/10.23880/nhij-16000233.

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Nursing notes are essential for mental health nursing, and thus they should be included in mental health education for undergraduate nursing students. In clinical settings, It has been observed that fourth-year nursing students commonly omitted critical information from the assessment of mentally ill patients, neglecting their requirements as well as losing valuable learning opportunities. For this reason, an evaluation form has been created and implemented in order to optimise the student’s learning opportunities. The main objectives that motivated the design of this instrument were to support the nursing student’s learning process, promote a systematic record of the mental examination, and apply specific descriptors in the assessment of the patient’s mental state. This evaluation form was designed according to a systematic and standardized registration system, including the main areas that compose mental health assessment. This cost-effective tool has significantly facilitated the student’s learning and training in mental health nursing. During the five-year period in which this instrument has been applied, student records improved in quality, precision, as well as a positive opinion about it from students. Besides, this document has been recently used in the context of distance education and clinical simulation in mental health by assessing patients in simulated situations, with positive outcomes
4

Kendrick, Tony, and Chantal Simon. "Adult Mental Health Assessment." InnovAiT: Education and inspiration for general practice 1, no. 3 (March 2008): 180–86. http://dx.doi.org/10.1093/innovait/inn013.

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5

Chapman, Sue. "Mental health risk assessment." Practice Nursing 8, no. 10 (June 6, 1997): 20–24. http://dx.doi.org/10.12968/pnur.1997.8.10.20.

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6

Rabikn, Judith Godwin. "Mental Health Needs Assessment." Medical Care 24, no. 12 (December 1986): 1093–109. http://dx.doi.org/10.1097/00005650-198612000-00003.

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7

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.
8

Mackay, Angus. "Health technology assessment and mental health." Psychiatric Bulletin 26, no. 7 (July 2002): 243–45. http://dx.doi.org/10.1192/pb.26.7.243.

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In company with all other branches of the NHS, those concerned with mental health are currently the target of a plethora of standards, guidelines and derivatives thereof. In England and Wales, the responsibility for the production of national clinical guidelines rests with the National Institute for Clinical Excellence (NICE), and the Commission for Health Improvement (CHI) is charged with the monitoring of performance. In Scotland, the Scottish Intercollegiate Guideline Network (SIGN) and the Clinical Standards Board for Scotland (CSBS) undertake these respective responsibilities. However, NICE is also responsible for a rather different form of activity, and one that has forced it recurringly into the media limelight in the 2 years since its creation. This is the formulation of national advice on the clinical and cost-effectiveness of new and existing health technology. Health technology is a rather pedantic, if precisely defined, term that means essentially any health intervention and it includes medicines, devices, clinical procedures and even health care settings. Post-devolution and in the wake of the establishment of the Scottish Parliament, the Health Technology Board for Scotland (HTBS) was created by statute in April 2000. This organisation shares with NICE the responsibility for issuing advice on the clinical and cost-effectiveness of health technologies, in HTBS's case primarily to NHS Scotland. Therefore, two nationally-oriented organisations exist on either side of Hadrian's Wall, responsible to their respective Parliaments for providing authoritative opinions on whether or not a particular health intervention should be provided within the NHS. A crude approximation to the subject of this advice would be ‘value for money’. While, for reasons that will be explained, such a term is potentially misleading, it does serve to identify the basic elements of the need to which this activity is a response.
9

Wright, Ariel, Amy Paredes, and Lanette Stuckey. "Mental Health Environmental Safety Assessment." Nurse Educator 44, no. 6 (2019): 320. http://dx.doi.org/10.1097/nne.0000000000000686.

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10

Juengst, Shannon, Jan E. Nordvik, Ilkka S. Junttila, Jason Smith, Chung L. Kew, and Tanja Laukkala. "Mental health assessment in rehabilitation." International Journal of Rehabilitation Research 41, no. 4 (December 2018): 368–72. http://dx.doi.org/10.1097/mrr.0000000000000300.

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11

Goodman, Ann B., and Gary Haugland. "Mental health service needs assessment." Administration and Policy in Mental Health 21, no. 3 (January 1994): 173–97. http://dx.doi.org/10.1007/bf00707485.

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12

Moss, Steve. "Assessment of Mental Health Problems." Tizard Learning Disability Review 4, no. 2 (April 1999): 14–19. http://dx.doi.org/10.1108/13595474199900014.

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13

Sharma, Lokendra Kumar, Shivangi Sharma, Ramesh Kumar Mishra, and Vinayak Kapoor. "Assessment of mental health status of MBBS students by Global Mental Health Assessment Tool." Proceedings for Annual Meeting of The Japanese Pharmacological Society WCP2018 (2018): PO1–7–8. http://dx.doi.org/10.1254/jpssuppl.wcp2018.0_po1-7-8.

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14

Najim, H., and J. Childs. "A comparison of mental health assessment of mentally ill offenders by mental health professionals." European Psychiatry 26, S2 (March 2011): 790. http://dx.doi.org/10.1016/s0924-9338(11)72495-6.

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BackgroundCriminal justice mental health teams were established in The United kingdom in the late nineties of the last century following the publication of the Reed Report 1991.Two teams were established in South Essex following the geographical locality of each team. Basildon and Thurrock and Southend.MethodsAn evaluation form was devised to record all essential areas of assessment.Twenty five assessment of each team were picked and evaluated randomly over a period of a three months. A comparison was done between the assessment of the two teams.ResultsReferring agency one from the west didn’t mention itThree of the west didn’t have the index offence;One of the east and two of the west didn’t have past forensic history.Three of the west and one of the east didn’t have risk assessment.One of the west didn’t have summary of concernsThree of both didn’t mention whether other professionals involved or not.DiscussionComparison between different teams is important to make sure that there is a standard format for assessment and whether it is used in all assessments.It has been shown that assessments are very good in general in both teams. There are some areas which need to be addressed and managed.12% of patients on the west didn’t have risk assessment which is very risky.ConclusionThis comparison has highlighted areas we need to take care off especially risk assessment and liaising with other agencies in managing theses very special group of patients.
15

Vaitheswaran, Sridhar, Philip Crockett, Sam Wilson, and Harry Millar. "Telemental health: videoconferencing in mental health services." Advances in Psychiatric Treatment 18, no. 5 (September 2012): 392–98. http://dx.doi.org/10.1192/apt.bp.111.008904.

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SummaryVideo technology was first used in psychiatric services in the 1950s but came into general use in the 1990s, particularly in North America and Australia. Video has utility across all ages and in a wide range of clinical situations. These include case conferencing for patients with complex problems (e.g. when planning discharge from specialist inpatient units), psychological assessment and treatment, Mental Health Act assessments, suicide risk assessment and work in forensic settings. Potential for benefit may be most obvious in remote locations, but video use is also relevant in urban settings. Lack of training and experience, inadequate access to equipment and insufficient technical support have all limited the take-up of this technology in the UK. This article briefly reviews the literature and outlines technical and cost considerations when using video technology. Three services in Scotland are described to illustrate ways in which videoconferencing can enhance services.
16

Perlman, Chris, Lynn Martin, and John Hirdes. "Using Routinely Collected Clinical Assessments in Mental Health Services: The Resident Assessment Instrument—Mental Health." Canadian Journal of Psychiatry 59, no. 7 (July 2014): 399. http://dx.doi.org/10.1177/070674371405900708.

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17

Kluczyńska, Sylwia, Ewa Witkowska, Lidia Zabłocka-Żytka, Jan Czesław Czabała, and Ewa Sokołowska. "Assessment of students’ mental health assessment in positive and negative aspect. Mental health inventory (IZP)." Educational Psychology 57, no. 15 (June 30, 2019): 79–98. http://dx.doi.org/10.5604/01.3001.0013.2966.

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The aim of the study was to develop and validate a standardized inventory assessing the mental health of young adults. The originality of the proposed approach lies in the fact that the inventory refers to both the positive and negative dimension of mental health. 405 students were examined, including 292 women and 113 men. When assessing the accuracy of the newly created instrument, the covariance of its results with the results of other tools measuring mental health or its aspects: General Health Questionnaire GHQ-28; Questionnaire for Quality of Life Assessment WHOQL-BREF; Questionnaire of Life Orientation by A. Antonowsky was assessed. Additionally, the covariance of personality traits defined by the Big Five Model as well as a temperamental dimensions of Regulative Temperament Theory was assessed. An analysis of the factor structure of the questionnaire was also performed. Although the results of the factor analysis indicate a unidimensional structure of the IZP, the correlation between its two dimensions equals -0.65. In addition, there was a correlation between both the positive dimension of mental health and negative health with neuroticism and emotional reactivity. The results of analyzes of personality and temperamental measures with data obtained using the Mental Health Inventory suggest the utility of the tool in the assessment of mental health indicators in both negative and positive aspect.
18

Hennessy, Maria J., Jeff C. Patrick, and Anne L. Swinbourne. "Improving Mental Health Outcomes Assessment with the Mental Health Inventory-21." Australian Psychologist 53, no. 4 (November 10, 2017): 313–24. http://dx.doi.org/10.1111/ap.12330.

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19

Roberts, Nasreen, Heather Stuart, and Mui Lam. "High School Mental Health Survey: Assessment of a Mental Health Screen." Canadian Journal of Psychiatry 53, no. 5 (May 2008): 314–22. http://dx.doi.org/10.1177/070674370805300506.

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20

Cardemil, Esteban V., Sara T. Adams, Joanne L. Calista, Joy Connell, José Encarnación, Nancy K. Esparza, Jeanne Frohock, et al. "The Latino Mental Health Project: A Local Mental Health Needs Assessment." Administration and Policy in Mental Health and Mental Health Services Research 34, no. 4 (February 6, 2007): 331–41. http://dx.doi.org/10.1007/s10488-007-0113-3.

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21

Urbanoski, Karen, Benoit H. Mulsant, and Peggie Willett. "Re: Using Routinely Collected Clinical Assessments in Mental Health Services: The Resident Assessment Instrument—Mental Health." Canadian Journal of Psychiatry 59, no. 7 (July 2014): 399–400. http://dx.doi.org/10.1177/070674371405900709.

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22

Sarkar, Jaydip. "Mental health assessment of rape offenders." Indian Journal of Psychiatry 55, no. 3 (2013): 235. http://dx.doi.org/10.4103/0019-5545.117137.

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23

McQuaid, John R., Brian P. Marx, Marc I. Rosen, Lynn F. Bufka, Wendy Tenhula, Helene Cook, and Terence M. Keane. "Mental health assessment in rehabilitation research." Journal of Rehabilitation Research and Development 49, no. 1 (2012): 121. http://dx.doi.org/10.1682/jrrd.2010.08.0143.

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24

Espy-Wilson, Carol. "Speech acoustics and mental health assessment." Journal of the Acoustical Society of America 149, no. 4 (April 2021): A59. http://dx.doi.org/10.1121/10.0004375.

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25

Klyczek, J. P. "Mental Health Assessment Program System (MHAPS)." American Journal of Occupational Therapy 41, no. 10 (October 1, 1987): 678. http://dx.doi.org/10.5014/ajot.41.10.678a.

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26

Wills, Evelyn M. "Mental Health Assessment in the Home." Home Healthcare Nurse: The Journal for the Home Care and Hospice Professional 15, no. 8 (August 1997): 580. http://dx.doi.org/10.1097/00004045-199708000-00017.

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27

Shahabinejad, Maryam, Tabandeh Sadeghi, and Zinat Salem. "Assessment the mental health of Nursing." Iranina Journal of Psychiatric Nursing 4, no. 2 (July 10, 2016): 29–27. http://dx.doi.org/10.21859/ijpn-04024.

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28

Armstrong, Madeline. "Mental health assessment for older people." Nursing Older People 10, no. 4 (August 1, 1998): 41–42. http://dx.doi.org/10.7748/nop.10.4.41.s21.

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29

HEILBRUN, KIRK. "Principles of Forensic Mental Health Assessment." Annals of the New York Academy of Sciences 989, no. 1 (January 24, 2006): 167–84. http://dx.doi.org/10.1111/j.1749-6632.2003.tb07304.x.

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30

Crighton, David. "Risk Assessment In Forensic Mental Health." British Journal of Forensic Practice 1, no. 1 (February 1999): 18–26. http://dx.doi.org/10.1108/14636646199900005.

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31

Heilbrun, Kirk, Geoffrey R. Marczyk, David DeMatteo, Eric A. Zillmer, Justin Harris, and Tiffany Jennings. "Principles of Forensic Mental Health Assessment." Assessment 10, no. 4 (December 2003): 329–43. http://dx.doi.org/10.1177/1073191103258591.

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32

Dickey, Barbara. "Outcome assessment in women’s mental health." Women's Health Issues 10, no. 4 (July 2000): 192–201. http://dx.doi.org/10.1016/s1049-3867(00)00044-x.

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33

Gomi, Sachiko, Vincent R. Starnino, and Edward R. Canda. "Spiritual Assessment in Mental Health Recovery." Community Mental Health Journal 50, no. 4 (November 6, 2013): 447–53. http://dx.doi.org/10.1007/s10597-013-9653-z.

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34

Smith, Martin. "Risk assessment in mental health work." Practice 13, no. 2 (April 2001): 21–30. http://dx.doi.org/10.1080/09503150108411508.

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35

Stewart, Bob. "Digital self-assessment in mental health." Assessment and Development Matters 8, no. 3 (2016): 11–14. http://dx.doi.org/10.53841/bpsadm.2016.8.3.11.

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36

Anthony, Denis, and John McFadyen. "Mental health needs assessment of prisoners." Clinical Effectiveness in Nursing 9, no. 1-2 (March 2005): 26–36. http://dx.doi.org/10.1016/j.cein.2005.09.002.

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37

Zeanah, Charles H., Neil W. Boris, Sherryl Scott Heller, Sarah Hinshaw-Fuselier, Julie A. Larrieu, Marva Lewis, Rhonda Palomino, Michael Rovaris, and Jean Valliere. "Relationship assessment in infant mental health." Infant Mental Health Journal 18, no. 2 (1997): 182–97. http://dx.doi.org/10.1002/(sici)1097-0355(199722)18:2<182::aid-imhj7>3.0.co;2-r.

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38

MARTIN, L., J. P. HIRDES, J. N. MORRIS, P. MONTAGUE, T. RABINOWITZ, and B. E. FRIES. "Validating the Mental Health Assessment Protocols (MHAPs) in the Resident Assessment Instrument Mental Health (RAI-MH)." Journal of Psychiatric and Mental Health Nursing 16, no. 7 (September 2009): 646–53. http://dx.doi.org/10.1111/j.1365-2850.2009.01429.x.

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39

Runge, Shannon K., Benjamin M. Craig, and Heather S. Jim. "Word Recall: Cognitive Performance Within Internet Surveys." JMIR Mental Health 2, no. 2 (June 2, 2015): e20. http://dx.doi.org/10.2196/mental.3969.

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Background The use of online surveys for data collection has increased exponentially, yet it is often unclear whether interview-based cognitive assessments (such as face-to-face or telephonic word recall tasks) can be adapted for use in application-based research settings. Objective The objective of the current study was to compare and characterize the results of online word recall tasks to those of the Health and Retirement Study (HRS) and determine the feasibility and reliability of incorporating word recall tasks into application-based cognitive assessments. Methods The results of the online immediate and delayed word recall assessment, included within the Women’s Health and Valuation (WHV) study, were compared to the results of the immediate and delayed recall tasks of Waves 5-11 (2000-2012) of the HRS. Results Performance on the WHV immediate and delayed tasks demonstrated strong concordance with performance on the HRS tasks (ρc=.79, 95% CI 0.67-0.91), despite significant differences between study populations (P<.001) and study design. Sociodemographic characteristics and self-reported memory demonstrated similar relationships with performance on both the HRS and WHV tasks. Conclusions The key finding of this study is that the HRS word recall tasks performed similarly when used as an online cognitive assessment in the WHV. Online administration of cognitive tests, which has the potential to significantly reduce participant and administrative burden, should be considered in future research studies and health assessments.
40

Brodey, Benjamin B., Nicole L. Gonzalez, Kathryn Ann Elkin, W. Jordan Sasiela, and Inger S. Brodey. "Assessing the Equivalence of Paper, Mobile Phone, and Tablet Survey Responses at a Community Mental Health Center Using Equivalent Halves of a ‘Gold-Standard’ Depression Item Bank." JMIR Mental Health 4, no. 3 (September 6, 2017): e36. http://dx.doi.org/10.2196/mental.6805.

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Background The computerized administration of self-report psychiatric diagnostic and outcomes assessments has risen in popularity. If results are similar enough across different administration modalities, then new administration technologies can be used interchangeably and the choice of technology can be based on other factors, such as convenience in the study design. An assessment based on item response theory (IRT), such as the Patient-Reported Outcomes Measurement Information System (PROMIS) depression item bank, offers new possibilities for assessing the effect of technology choice upon results. Objective To create equivalent halves of the PROMIS depression item bank and to use these halves to compare survey responses and user satisfaction among administration modalities—paper, mobile phone, or tablet—with a community mental health care population. Methods The 28 PROMIS depression items were divided into 2 halves based on content and simulations with an established PROMIS response data set. A total of 129 participants were recruited from an outpatient public sector mental health clinic based in Memphis. All participants took both nonoverlapping halves of the PROMIS IRT-based depression items (Part A and Part B): once using paper and pencil, and once using either a mobile phone or tablet. An 8-cell randomization was done on technology used, order of technologies used, and order of PROMIS Parts A and B. Both Parts A and B were administered as fixed-length assessments and both were scored using published PROMIS IRT parameters and algorithms. Results All 129 participants received either Part A or B via paper assessment. Participants were also administered the opposite assessment, 63 using a mobile phone and 66 using a tablet. There was no significant difference in item response scores for Part A versus B. All 3 of the technologies yielded essentially identical assessment results and equivalent satisfaction levels. Conclusions Our findings show that the PROMIS depression assessment can be divided into 2 equivalent halves, with the potential to simplify future experimental methodologies. Among community mental health care recipients, the PROMIS items function similarly whether administered via paper, tablet, or mobile phone. User satisfaction across modalities was also similar. Because paper, tablet, and mobile phone administrations yielded similar results, the choice of technology should be based on factors such as convenience and can even be changed during a study without adversely affecting the comparability of results.
41

Todman, Lynn C., Lauren M. Hricisak, Jill E. Fay, and J. Sherrod Taylor. "Mental health impact assessment: population mental health in Englewood, Chicago, Illinois, USA." Impact Assessment and Project Appraisal 30, no. 2 (June 2012): 116–23. http://dx.doi.org/10.1080/14615517.2012.659991.

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42

Karmakar, Chandan, Wei Luo, Truyen Tran, Michael Berk, and Svetha Venkatesh. "Predicting Risk of Suicide Attempt Using History of Physical Illnesses From Electronic Medical Records." JMIR Mental Health 3, no. 3 (July 11, 2016): e19. http://dx.doi.org/10.2196/mental.5475.

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Background Although physical illnesses, routinely documented in electronic medical records (EMR), have been found to be a contributing factor to suicides, no automated systems use this information to predict suicide risk. Objective The aim of this study is to quantify the impact of physical illnesses on suicide risk, and develop a predictive model that captures this relationship using EMR data. Methods We used history of physical illnesses (except chapter V: Mental and behavioral disorders) from EMR data over different time-periods to build a lookup table that contains the probability of suicide risk for each chapter of the International Statistical Classification of Diseases and Related Health Problems, 10th Revision (ICD-10) codes. The lookup table was then used to predict the probability of suicide risk for any new assessment. Based on the different lengths of history of physical illnesses, we developed six different models to predict suicide risk. We tested the performance of developed models to predict 90-day risk using historical data over differing time-periods ranging from 3 to 48 months. A total of 16,858 assessments from 7399 mental health patients with at least one risk assessment was used for the validation of the developed model. The performance was measured using area under the receiver operating characteristic curve (AUC). Results The best predictive results were derived (AUC=0.71) using combined data across all time-periods, which significantly outperformed the clinical baseline derived from routine risk assessment (AUC=0.56). The proposed approach thus shows potential to be incorporated in the broader risk assessment processes used by clinicians. Conclusions This study provides a novel approach to exploit the history of physical illnesses extracted from EMR (ICD-10 codes without chapter V-mental and behavioral disorders) to predict suicide risk, and this model outperforms existing clinical assessments of suicide risk.
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Pfefferbaum, MD, JD, Betty, Anne K. Jacobs, PhD, and J. Brian Houston, PhD. "Children and disasters: A framework for mental health assessment." Journal of Emergency Management 10, no. 5 (September 1, 2012): 349. http://dx.doi.org/10.5055/jem.2012.0112.

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Background: Providers serving children’s mental health needs face the complexities of tailoring assessments based on developmental stages, family characteristics, school involvement, and cultural and economic factors.This task is even more challenging in the face of a disaster, terrorist incident, or other mass trauma event. Traditional mental health knowledge and skills may not be sufficient to meet children’s needs in these chaotic situations. Unfortunately, disaster planning and response often overlook or only briefly address the unique mental health needs of children. While there is general agreement that children have specific vulnerabilities, few comprehensive plans exist for identifying and addressing children’s mental health needs predisaster and postdisaster.Objectives/methods: Based on a review of the literature, the objectives of this article are to provide an overview of the central tenets of assessment with children throughout the course of a disaster and to propose a framework for disaster mental health assessment that can be used by a variety of providers in community disaster planning and response.Results: Disaster-related assessments are described including surveillance, psychological triage, needs assessment, screening, clinical evaluation, and program evaluation. This article also identifies easily accessible resources for responders and providers who desire to become more familiar with child disaster mental health assessment concepts.Conclusions: The framework described here provides an overview for understanding how assessment can be conducted to identify child and family needs and to inform the delivery of services following a disaster.
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Roush, Jared F., Sarah L. Brown, Danielle R. Jahn, Sean M. Mitchell, Nathanael J. Taylor, Paul Quinnett, and Richard Ries. "Mental Health Professionals' Suicide Risk Assessment and Management Practices." Crisis 39, no. 1 (January 1, 2018): 55–64. http://dx.doi.org/10.1027/0227-5910/a000478.

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Abstract. Background: Approximately 20% of suicide decedents have had contact with a mental health professional within 1 month prior to their death, and the majority of mental health professionals have treated suicidal individuals. Despite limited evidence-based training, mental health professionals make important clinical decisions related to suicide risk assessment and management. Aims: The current study aimed to determine the frequency of suicide risk assessment and management practices and the association between fear of suicide-related outcomes or comfort working with suicidal individuals and adequacy of suicide risk management decisions among mental health professionals. Method: Mental health professionals completed self-report assessments of fear, comfort, and suicide risk assessment and management practices. Results: Approximately one third of mental health professionals did not ask every patient about current or previous suicidal thoughts or behaviors. Further, comfort, but not fear, was positively associated with greater odds of conducting evidence-based suicide risk assessments at first appointments and adequacy of suicide risk management practices with patients reporting suicide ideation and a recent suicide attempt. Limitations: The study utilized a cross-sectional design and self-report questionnaires. Conclusion: Although the majority of mental health professionals report using evidenced-based practices, there appears to be variability in utilization of evidence-based practices.
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DeClue, Gregory. "Book Section: Essay and Review: Forensic Mental Health Assessment: A Casebook, Principles of Forensic Mental Health Assessment." Journal of Psychiatry & Law 33, no. 4 (December 2005): 511–13. http://dx.doi.org/10.1177/009318530503300405.

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Lambert, Maggie. "Physical health assessment quality improvement project." BJPsych Open 7, S1 (June 2021): S203. http://dx.doi.org/10.1192/bjo.2021.544.

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AimsMy aim was to ensure at least 60% of clients in the Acute Day Unit have a ‘physical screening tool’ entry.BackgroundAs a GP starting training in psychiatry I am very aware of the importance of physical health and the overlap between physical health and mental health. It has been found that there is a 20 year mortality gap for men and 15 year mortality gap for women in people with mental health problems. Thorncroft described this as ‘the scandal of premature mortality’.Nice Guidelines state: ‘Reducing premature mortality by improving physical healthcare for people with severe mental illness remains an NHS England priority. Funding has been made available to ensure that at least 60% of people who have severe mental illness receive NICE-recommended physical assessments and follow up from 2018/19 onwards.’The Acute Day Unit seemed to be the ideal situation to try to address this problem as clients are with us for 6-8 weeks during which time their physical health as well as their mental health can be optimised.MethodI emailed the whole team to invite ideas and questions regarding the QI project and discussed it further at the MDT meeting. It was important at the start to get the whole team on board. Having discussed it we decided to put six blocks of thirty minute slots weekly into the timetable for physical assessments. These were to be booked in by the client's care coordinator. I also added a column onto our team spreadsheet to input whether or not the physical assessment had been done. Frequent encouragements and reminders were sent round the team of which clients still needed a physical assessment.ResultBefore the changes were made 25% of clients were having their physical assessments done. After the changes were made 63% of clients had their physical assessment done, three of the twenty seven clients having only started at the day unit that week.ConclusionHaving made a change to the system of scheduling six regular slots for physical assessments there has been a dramatic rise in the number of clients having their physical assessment done. As this change has been to the system and will be continued automatically on the team calendar the improvement has been more easily sustained. We are keen to keep improving on this change with an ideal level of over 75% of clients having a physical health assessment.
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Marin Olalla, M., A. Vidal Lopez, B. Perez Ramirez, R. Maldonado Lozano, and A. L. loret Lopez. "Promotion mental health: Healthy habits program in patients with severe mental illness in the north Almeria mental health unit (Activarte)." European Psychiatry 41, S1 (April 2017): S737—S738. http://dx.doi.org/10.1016/j.eurpsy.2017.01.1355.

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IntroductionPromoting healthy lifestyles in patients with severe mental illness (balance diet, physical activity, smoking withdraw, adequate oral hygiene, optimal self-esteem and healthy sexuality) help patients to rely on their recovery.Aims– avoid social isolation and stigma.– encourage the recovery process, considering as well as the manage of symptoms together the functioning and quality of life of the patients.– improve the progress and illness prognosis.Methods– The program is introduced in the North Health Area of Almeria (Hospital Huercal–Overa) and FAISEM–Andalusia foundation to the social inclusion of mental illness patients;– patients included in the program has been previously assess and informed-therapeutical contract;– the program started in January 2013, with 10 sessions in the community, and groups sessions.Results– fifty patients included between a total of 300–initial target 16%;– the initial target considered was at least 60–75% of participation rate—being the result of 80–95%;– physical assessment detected 10% of metabolic syndrome being the patients referred to primary medical care to the adequate management.Program:– twenty group sessions scheduled being performed 19: 95%;– ten active sessions in community scheduled being performed 9: 90%–one sessions (beach trip) was cancelled due to budget problem;– patients level of satisfaction: under assessment;– broadcasting: 2 press articles, scientific communications, and shared the experience through FAISEM to all the Andalusia Areas.– research: expecting spreading the experience and improve the results.Disclosure of interestThe authors have not supplied their declaration of competing interest.
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Holliday, Ryan, Alisha Desai, Matthew A. Clem, and Hal S. Wortzel. "Forensic Mental Health Assessment as a Critical Intercept for Enhancing Mental Health Care." Journal of Psychiatric Practice 28, no. 5 (September 2022): 396–403. http://dx.doi.org/10.1097/pra.0000000000000652.

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Knapp, Penelope. "Iterative and comprehensive mental health assessment and treatment planning: the mental health dashboard." Pediatric Medicine 4 (August 2021): 24. http://dx.doi.org/10.21037/pm-20-72.

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Sheppard, Michael. "General practitioners' referrals for compulsory admission under the Mental Health Act, I: comparison with other GP mental health referrals." Psychiatric Bulletin 16, no. 3 (March 1992): 138–39. http://dx.doi.org/10.1192/pb.16.3.138.

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Although the work of general practitioners (GPs) with mental illness generally, particularly in relation to minor mental illness, has been extensively examined, there has been practically no work devoted to the role of GPs in assessment for compulsory admission, either under the 1959 or 1983 Acts. The notable exception is the work of Bean (1980), who is, in some respects, highly critical, accusing them of showing little interest in patients, referring at times inappropriately, committed to the rhetoric rather than reality of care and of knowing little or nothing of the law they were supposed to be using. Bean's work is, however, a study of the 1959 Act, and no research exists on the 1983 Act which now governs section assessments. This neglect of GPs is surprising, in view of the severe consequences of compulsory admissions (sections) and research on the use of the 1983 Act already available on other participating professionals (Sheppard, 1990; Rogers, 1989). GPs are likely to be professional instigators of section assessments as well as involved in the assessment itself.

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