Identify and Critique Measures

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dhvagnafe

Humanities

Northcentral University

Description

The goal of this assignment is for you to become familiar with some of the measures that could be used to assess MFT clinical outcomes. After you have read the assigned readings, find and critique one measure of one or more key constructs related to your PCF.  Select a measure that you would administer to your clients to guide your interventions and treatment planning.  Good sources of measures in the NCU Library include EBSCOhost, Mental Measurements Yearbook with Tests in Print, ProQuest, PsychiatryOnline, and PsycTESTS.

You will complete the Measure Critique Form (found in the Week 9 Books and Resources area) for the measure you selected.  Note that you have provided a sample critique (also in the Week 9 Books and Resources area) showing the level of detail expected on this critique. The first several questions ask about the norming data for the measure, which often means finding the original publication on the assessment or the manual. If you are struggling to find that information, please reach out to the librarian for assistance. This critique is another opportunity to evaluate DEI factors.

Be sure to send an email to your instructor by Wednesday of the week the assignment is due, identifying one or more measures you are considering evaluating so that he or she can provide guidance on the best one to use for this assignment.  For example, you will not want to evaluate a psychological test like the Minnesota Multiphasic Personality Inventory-2 (MMPI-2), which MFTs in most states cannot administer nor interpret. Instead, you should search for a measure of couple and family functioning, although individual screening tests, like the Generalized Anxiety Disorder-7 (GAD-7), may also be acceptable.  Again, the measures you select should be relevant to your PCF, specialization, and clinical practice as an MFT.

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Measure Critique Critiqued by: Date: Name of measure: Developer(s): Source reference: (Note that you are looking for the norming data (how they created it) for the measure you’ve selected and to answer questions 1-5 below. This could be the assessment manual or some other source that provides the original data from the creation of the assessment. Provide the complete citation, using correct APA format, of the article, book or website that contains the key information on the measure you are critiquing here): 1. Construct(s) assessed (e.g., depression, relationship satisfaction, stress): 2. Method of administration: 3. Summary of reliability evidence (this includes internal consistency reliability, usually Cronbach’s alpha and often test-retest reliability as well): 4. Summary of validity evidence (this may include discussions of content, criterion-related [concurrent and/or predictive], and construct [convergent and/or divergent] validity): 5. Describe the number of participants used to develop the measure and their demographic characteristics (e.g., age, gender, race/ethnicity): Questions below will come from research that have used the above measure in their studies. Use parenthetical citations and include them on your refefrence page. 6. Provide a brief summary of how clinicians have used this measure in therapy: 7. Recommendations for effective clinical use: 8. With what populations has this measure been used with (either clinically or in research) (e.g., age, gender, race/ethnicity, setting) 9. Find and briefly mention the purpose of 2-3 few research studies that have used the measure: 10. Provide a summary of the findings from one of the studies used to answer question 9 that used this measure using this template: Objective: Method/Design: Results: 11. What future research is needed on this measure (consider things such as DEI)? 12. Overall impression of measure: Sample Measure Critique Critiqued by: KL Date: January 25, 2016 Name of measure: PHQ9 Developer(s): Kurt Kroenke, Robert L. Spitzer, & Janet B.W. Williams Source reference: https://www.communitycarenc.org/media/relateddownloads/depression-toolkit.pdf Construct(s) assessed: Criteria-based diagnosis of depression in individuals seen in primary care and other medical and mental health facilities Method of administration: Nine symptom checklist that can be professionally or self-administered (paper and pencil, electronically, or over the phone). Summary of reliability evidence: • Internal reliability was excellent, with a Cronbach’s alpha of 0.89 in a Primary Care Study and 0.86 in an OB-Gyn Study (Kroenke, Spitzer, & Williams, 2001). • Test-retest reliability was very high at a 0.96 in a longitudinal study (Draper et al., 2008). Summary of validity evidence: In a study done by Kroenke et al. (2001), both criterion and construct validity were established as well as external validity. Construct validity was demonstrated in a sample of 580 primary care patients who underwent an independent re-interview. Criterion validity was shown by the strong association between PHQ-9 scores and functional status disability days and symptoms related difficulty. External validity was achieved by replicating the findings from 3,000 primary care patients in a second sample of 3,000 Ob-gyn patients. • The PHQ-9 had a sensitivity of 88% and a specificity of 88% for major depression. PHQ-9 sores of 5, 10, 15, 20 fully represented mild, moderate, moderately severe, and severe depression respectively (Kroenke et al., 2001). Summary of clinical use: The PHQ-9 was founded and used in primary care settings where a nurse, physician or mental health provider has administered the questionnaire. In recent years, it has also been administered in many different types of medical settings and in mental health offices. Administration by telephone and touch-screen has been validated (Fann et al., 2009; Kroenke et al., 2001). Often times it is self administered and the mental health provider or medical health provider can score and determine possible depression and severity at the time administered. It has also been shown to notify mental health providers if therapy/treatment is going well. Recommendations for clinical use: The PHQ-9 is a tool that can be used for diagnosing depression, depression severity, and gauging response to depression treatment in clinical research (Lowe, Unutzer, Callahan & Kroenke, 2004; Lowe, Unutzer, Callahan, Perkins, & Kroenke, 2004). The PHQ-9 will be of great help in therapy to determine if the patient is responding to therapy/treatment. This particular measure is designed to be used in conjunction with the DSM-5 to provide correct diagnosis and severity level. Since this assessment tool has been used widely throughout different settings and with a diverse population, it will be important to research your population/setting to best reach a correct diagnosis and severity level, especially during therapy. Summary of research use: • Clinical Interviewing for depression (Fann et al., 2005) • Determining depression in primary care settings (DeJesus, Vickers, Melin, Williams, 2007; Kroenke et al., 2001) • Comparisons to other mental health assessments (Draper et al., 2008; Kroenke et al., 2001) • Determining if the assessment works for other cultures and countries (Huang, Chung, Kroenke, Delucchi & Spitzer, 2006; Yeung et al., 2008 ) • Longitudinal research of depression after traumatic events (Draper et al., 2008) • Diagnosis and assessment of depression with comorbid disease or medical conditions (Lamers et al., 2008; Fann et al., 2005) • Ability to predict depression severity and accomplishment of therapy/treatments (Lowe, Unutzer, Callahan, et al., 2004a; Lowe, Unutzer, Callahan, Perkins, et al., 2004b). Populations utilized with: The population has been utilized and validated with individuals of various cultural backgrounds, countries, languages, medical conditions, marital status, gender, age, regions of the U.S., post-disaster, education status, and economic status. Some examples, to name a few, are as follows: • Oncology, using touch screens (Fann et al., 2009) • Individuals following traumatic brain injury (Fann et al., 2005) • Primary care patients (DeJesus et al., 2007) • Those affected by child abuse or gender-based violence (Anastario, Larrance & Lawry, 2008; Draper et al., 2008) • Used in different countries and in different language versions (Han et al., 2008; Yeung et al., 2008) • Racially and ethnically diverse population at primary care facilities (African American, Chinese American, Latino, and non-Hispanic white patient groups) (Huang et al., 2006) • Chronically ill elder patients (Lamers et al., 2008) Example of use in research: (Lamers et al., 2008) Objective: To assess the psychometric properties of the PHQ-9 as a screening tool for depression in elderly patients with diabetes and chronic obstructive pulmonary disease (COPD) without previously known depression. Method/Design: Diabetes and COPD patients older than 59 years were given PHQ-9. 105 participants were given a test-retest assessment. Participants were also given the Mini International Neuropsychiatric Interview psychiatric interview to diagnose major depressive disorder (MDD) and established Criterion validity. Correlations with quality of life and severity of illness were calculated to assess construct validity. Results: PHQ-9 is a valid and reliable screening instrument for depression in elderly primary care patients with diabetes and COPD Future research needed: Future research is needed to determine if the PHQ-9 would be used instead of longer, more costly, interviewer-administered outcome measures such as the Hamilton Depression Rating Scale. Overall impression of measure: The PHQ-9 has well established reliability and validity and can be used with a variety of populations in both medical and non-medical settings. I think it can be a wonderful tool for clinicians with depressed clients to determine if therapy is working. References Anastario, M. P., Larrance, R., & Lawry, L. (2008). Using Mental Health Indicators to Identify Postdisaster Gender-Based Violence among Women Displaced by Hurricane Katrina. Journal of Women's Health, 17(9), 1437-1444. DeJesus, R. S., Vickers, K. S., Melin, G. J., & Williams, M. D. (2007). A System-Based Approach to Depression Management in Primary Care Using the Patient Health Questionnaire-9. Mayo Clinic Proceedings, 82(11), 1395-1402. Draper, B., Pfaff, J. J., Pirkis, J., Snowdon, J., Lautenschlager, N. T., Wilson, I., et al. (2008). Long-Term Effects of Childhood Abuse on the Quality of Life and Health of Older People: Results from the Depression and Early Prevention of Suicide in General Practice Project. Journal of the American Geriatrics Society, 56(2), 262-271. Fann, J. R., Berry, D. L., Wolpin, S., Austin-Seymour, M., Bush, N., Halpenny, B., et al. (2009). Depression screening using the Patient Health Questionnaire-9 administered on a touch screen computer. Psycho-Oncology, 18(1), 14-22. Fann, J. R., Bombardier, C. H., Dikmen, S., Esselman, P., Warms, C. A., Pelzer, E., et al. (2005). Validity of the Patient Health Questionnaire-9 in Assessing Depression Following Traumatic Brain Injury. Journal of Head Trauma Rehabilitation, 20(6), 501-511. Han, C., Jo, S. A., Kwak, J. H., Pae, C. U., Steffens, D., Jo, I., et al. (2008). Validation of the Patient Health Questionnaire-9 Korean version in the elderly population: the Ansan Geriatric study. Comprehensive Psychiatry, 49(2), 218-223. Huang, F., Chung, H., Kroenke, K., Delucchi, K., & Spitzer, R. L. (2006). Using the Patient Health Questionnaire-9 to Measure Depression among Racially and Ethnically Diverse Primary Care Patients. Journal of General Internal Medicine, 21(6), 547-552. Huang, F. Y., Chung, H., Kroenke, K., Delucchi, K. L., & Spitzer, R. L. (2006). Using the Patient Health Questionnaire-9 to measure depression among racially and ethnically diverse primary care patients. Journal of General Internal Medicine, 21(6), 547-552. Kroenke, K., Spitzer, R. L., & Williams, J. B. W. (2001). The PHQ-9. JGIM: Journal of General Internal Medicine, 16(9), 606-613. Laowe, B., Kroenke, K., Herzog, W., & Grafe, K. (2004). Measuring depression outcome with a brief self-report instrument: sensitivity to change of the Patient Health Questionnaire (PHQ-9). Journal of Affective Disorders, 81(1), 61-66. Laowe, B., Unutzer, J., Callahan, C. M., Perkins, A. J., & Kroenke, K. (2004). Monitoring depression treatment outcomes with the patient health questionnaire-9. Medical Care, 42(12), 1194-1201. Lamers, F., Jonkers, C. C., Bosma, H., Penninx, B. W., Knottnerus, J. A., & van Eijk, J. T. (2008). Summed score of the Patient Health Questionnaire-9 was a reliable and valid method for depression screening in chronically ill elderly patients. Journal Of Clinical Epidemiology, 61(7), 679-687. Yeung, A., Fung, F., Yu, S. C., Vorono, S., Ly, M., Wu, S., et al. (2008). Validation of the Patient Health Questionnaire-9 for depression screening among Chinese Americans. Comprehensive Psychiatry, 49(2), 211-217.
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Explanation & Answer

Attached.

I. Introduction
II. Description of the Measure
III. Reliability Evidence
IV. Validity Evidence
V. Development of the Measure
VI. Clinical Use
VII. Population and Context
VIII. Studies Utilizing the Measure
IX. Future Research
X. Conclusion
XI. References


1

Measure Critique: FACES-IV Analysis

Student’s Name
Institutional Affiliation
Course Code and Name
Instructor’s Name
Due Date

2

Name of measure: Family Adaptability and Cohesion Evaluation Scale (FACES-IV)
Developer(s): Sequeira, J., Vicente, H. T., Daniel, F., Cerveira, C., Silva, M. I., Neves, S., ...
& Guadalupe, S.
Source reference: Sequeira, J., Vicente, H. T., Daniel, F., Cerveira, C., Silva, M. I., Neves,
S., ... & Guadalupe, S. (2021). Family adaptability and cohesion evaluation scale–version iv
(FACES IV): validation study in the Portuguese population. Journal of Child and Family
Studies, 30, 1650-1663.

1. Construct(s) assessed
Family functioning, specifically adaptability and cohesion within the family system.
2. Method of administration
The FACES-IV is typically administered through a self-report questionnaire where
family members rate statements on a Likert-type scale, indicating the extent to which each
statement applies to their family.
3. Summary of reliability evidence
The FACES-IV demonstrates strong internal consistency reliability, with Cronbach’s
alpha coefficients ranging from 0.70 to 0.92 for adaptability subscales and 0.67 to 0.91 for
cohesion subscales. Test-retest reliability coefficients range from 0.68 to 0.78.
4. Summary of validity evidence
Reliability evidence for the Family Adaptability and Cohesion Evaluation Scale
(FACES-IV) demonstrates strong internal consistency and test-retest reliability. I...

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