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  • [Solved] Discussion #7

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    **files (1)** – ## NUR507Discussiontemplate.docx **## NUR507Discussiontemplate.docx** ### **Module 7 Discussion** ![null](https://www.sweetstudy.com/questions/discussion-7-20962571) ![icon](https://www.sweetstudy.com/questions/discussion-7-20962571)**Approaches to Disease Management: Vaginal Dischar…

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    **files (1)**

    – ## NUR507Discussiontemplate.docx

    **## NUR507Discussiontemplate.docx**

    ### **Module 7 Discussion**

    ![null](https://www.sweetstudy.com/questions/discussion-7-20962571)

    ![icon](https://www.sweetstudy.com/questions/discussion-7-20962571)**Approaches to Disease Management: Vaginal Discharge**

    After studying
    [Module 7: Lecture Materials & Resources](https://stu.instructure.com/courses/49751/pages/module-7-lecture-materials-and-resources), discuss the following:

    ##### Read

    Garzon, D. L., Driessnack, M., Dirks, M., Duderstadt, K. G., & Gaylord, N. M. (2024).

    · Chapter 25: Pediatric Injuries and Toxic Exposures

    · Chapter 40: Musculoskeletal Disorders

    · Chapter 41: Neurologic Disorders

    · Chapter 42: Genitourinary Disorders

    A 6-year-old has a yellow vaginal discharge. The examination is otherwise normal.

    · What are key points in the history and physical examination?

    · How would you approach differ if the patient were a sexually active 16-year-old?

    · What are similarities and differences in the approach?

    Submission Instructions:

    · Your initial post should be at least 500 words, formatted and cited in current APA style with support from at least 2 academic sources. Your initial post is worth 8 points.

    ## image1.png

    ## image2.png

    **## NUR507Discussiontemplate.docx**

    ### **Module 7 Discussion**

    ![null](https://www.sweetstudy.com/questions/discussion-7-20962571)

    ![icon](https://www.sweetstudy.com/questions/discussion-7-20962571)**Approaches to Disease Management: Vaginal Discharge**

    After studying
    [Module 7: Lecture Materials & Resources](https://stu.instructure.com/courses/49751/pages/module-7-lecture-materials-and-resources), discuss the following:

    ##### Read

    Garzon, D. L., Driessnack, M., Dirks, M., Duderstadt, K. G., & Gaylord, N. M. (2024).

    · Chapter 25: Pediatric Injuries and Toxic Exposures

    · Chapter 40: Musculoskeletal Disorders

    · Chapter 41: Neurologic Disorders

    · Chapter 42: Genitourinary Disorders

    A 6-year-old has a yellow vaginal discharge. The examination is otherwise normal.

    · What are key points in the history and physical examination?

    · How would you approach differ if the patient were a sexually active 16-year-old?

    · What are similarities and differences in the approach?

    Submission Instructions:

    · Your initial post should be at least 500 words, formatted and cited in current APA style with support from at least 2 academic sources. Your initial post is worth 8 points.

    ## image1.png

    ## image2.png

  • [Solved] Health

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    In-depth study guidance and analytical solution covering Health.

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  • [Solved] Discussion

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    ## System)Module 4 – Discussion (Chapter 20: The Nervous System) ### The Nervous System The complex anatomy and physiology of the nervous system make examination and assessment challenging but attainable with practice and dedication. Taking a detailed history provides essential clues to tailor your …

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    ## System)Module 4 – Discussion (Chapter 20: The Nervous System)

    ### The Nervous System

    The complex anatomy and physiology of the nervous system make examination and assessment challenging but attainable with practice and dedication. Taking a detailed history provides essential clues to tailor your physical examination, nursing interventions, and patient education.

    #### **Instructions:**

    1. ![Patient in a comatose state on hospital bed.](https://mdc.instructure.com/courses/145274/files/57272638/preview)Read the case study and statement below, then answer the questions that follow:

    1. **Case Study:**A patient has been brought to the emergency department in a comatose state. On assessment, she responds to painful pressure on her supraorbital arch; her arm attempts to remove pressure on the supraorbital arch; she moans and groans but has no speech.

    – Discuss the Glasgow Coma Scale and how you interpret the findings on this patient.
    2. **Statement:**The American Heart Association and the American Stroke Association urge patients to seek immediate care for critical warning signs.

    – Discuss these warning signs (including Heart attack and Stroke)
    2. **Initial Post**: Post your response with:

    – At least 100-150 words.
    – Writing free of grammatical, spelling, &/or punctuation errors.
    – Cite your references with the [APA style guide](https://libraryguides.mdc.edu/apa)

  • [Solved] presentation

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    In-depth study guidance and analytical solution covering presentation.

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    Assignment Prompt & Instructions

    Full assignment prompt and step-by-step guidance are included in the downloadable solution file.

  • [Solved] Nursing Assignment #7

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    **files (1)** – ## NUR507Assignment7.docx **## NUR507Assignment7.docx** ![icon](https://www.sweetstudy.com/questions/nursing-assignment-7-20962573)**_Case PowerPoint Presentation_** Develop a PowerPoint presentation on a clinical case that was seen during your experience or a topic that is of intere…

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    **files (1)**

    – ## NUR507Assignment7.docx

    **## NUR507Assignment7.docx**

    ![icon](https://www.sweetstudy.com/questions/nursing-assignment-7-20962573)**_Case PowerPoint Presentation_**

    Develop a PowerPoint presentation on a clinical case that was seen during your experience or a topic that is of interest to you.

    Template Example:
    [PowerPoint Presentation peds.pptx](https://stu.instructure.com/courses/49751/files/4520808?wrap=1)

    Select a health problem that primarily affects the pediatric population. (Pyloric Stenosis.)

    1. Provide information about the incidence, prevalence, and pathophysiology of the disease/disorder to the cellular level.

    · Differential Diagnosis

    2. Educate advanced practice nurses on

    · assessment and diagnostic exams (Remember, APRN are the primary care providers)

    · care/treatment including genetics/genomics—specific for this disorder

    3. Provide patient education for management, cultural, and spiritual considerations for care must also be addressed.

    **Your presentation must include a video and a voice-over of you presenting your assignment. A 50% deduction will be applied if the instructions regarding the video and voice-over are not followed.**

    **Submission Instructions:**

    · Presentation is original work and logically organized.

    · Followed current APA format for PowerPoint slides, including citation of references.

    · PowerPoint presentation with 10-15 slides were clear and easy to read. Speaker notes expanded upon and clarified content on the slides.

    · Incorporate a minimum of 4 current (published within the last five years) scholarly journal articles or primary legal sources (statutes, court opinions) within your work.  Journal articles and books should be referenced according to the current APA style (the library has a copy of the APA Manual).

    ## image1.png

    **## NUR507Assignment7.docx**

    ![icon](https://www.sweetstudy.com/questions/nursing-assignment-7-20962573)**_Case PowerPoint Presentation_**

    Develop a PowerPoint presentation on a clinical case that was seen during your experience or a topic that is of interest to you.

    Template Example:
    [PowerPoint Presentation peds.pptx](https://stu.instructure.com/courses/49751/files/4520808?wrap=1)

    Select a health problem that primarily affects the pediatric population. (Pyloric Stenosis.)

    1. Provide information about the incidence, prevalence, and pathophysiology of the disease/disorder to the cellular level.

    · Differential Diagnosis

    2. Educate advanced practice nurses on

    · assessment and diagnostic exams (Remember, APRN are the primary care providers)

    · care/treatment including genetics/genomics—specific for this disorder

    3. Provide patient education for management, cultural, and spiritual considerations for care must also be addressed.

    **Your presentation must include a video and a voice-over of you presenting your assignment. A 50% deduction will be applied if the instructions regarding the video and voice-over are not followed.**

    **Submission Instructions:**

    · Presentation is original work and logically organized.

    · Followed current APA format for PowerPoint slides, including citation of references.

    · PowerPoint presentation with 10-15 slides were clear and easy to read. Speaker notes expanded upon and clarified content on the slides.

    · Incorporate a minimum of 4 current (published within the last five years) scholarly journal articles or primary legal sources (statutes, court opinions) within your work.  Journal articles and books should be referenced according to the current APA style (the library has a copy of the APA Manual).

    ## image1.png

  • [Solved] Assigment .Apa seven . All instructions attached.

    ✓ Verified Academic Solution Available

    Executive Solution Overview

    **files (2)** – ## Articles.pdf – LiteratureReview.docx **## Articles.pdf** References 1. Aboraya, A., Elswick, D., Berry, J., Chandran, D., Hill, C., Zheng, W., Hustead, J. D., Van Oppen, D., Patel, V., Berzingi, S., Wang, K., Grimes, D., Gallucci, G., Mishra, D., Shrestha, R., Justice, J., Chumbe…

    Instant Solution Download

    $6.99

    Immediate access to the full model answer, formatted citations, and rubric breakdown.

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    Have this question answered from scratch according to your specific instructions and deadline.

    Order on TutorsGallery →

    Assignment Prompt & Instructions

    **files (2)**

    – ## Articles.pdf

    – LiteratureReview.docx

    **## Articles.pdf**

    References

    1. Aboraya, A., Elswick, D., Berry, J., Chandran, D., Hill, C., Zheng, W., Hustead, J. D.,

    Van Oppen, D., Patel, V., Berzingi, S., Wang, K., Grimes, D., Gallucci, G., Mishra, D.,

    Shrestha, R., Justice, J., Chumber, P., Rizvi, A., Yadava, D., … Hyacinthe, J. (2025).

    Measurement-based care training curriculum in psychiatry residency programs: Four-year

    implementation experience and future directions. Innovations in Clinical Neuroscience,

    22(4–6), 20–26.

    2. Aldis, R., Rosenfeld, L. C., Mulvaney-Day, N., Lanca, M., Zona, K., Lam, J. A., Asfour,

    J., Meltzer, J. C., Leff, H. S., Fulwiler, C., Wang, P., & Progovac, A. M. (2024).

    Determinants of remote measurement-based care uptake in a safety-net outpatient

    psychiatry department. Learning Health Systems, 8(S1), e10416.

    3. Askari, N., Gupta, R., Hussain-Shamsy, N., Barker, L. C., Champagne, T., Lam, R. W.,

    Bishop, K., Pirmohamed, J., Michalowska, M., Shah, V., Katzman, H., Jalan, A.,

    Shanmuganathan, A., Wang, V., & Vigod, S. N. (2025). Electronic measurement-based

    care for perinatal depression and anxiety. BMC Psychiatry, 25(1), 437.

    4. Azizian Kia, S., Wittkampf, L., van Lankeren, J., & Janse, P. (2025). Motives of

    therapists for using routine outcome monitoring. Administration and Policy in Mental

    Health, 52(1), 159–170.

    5. Barkham, M., Broglia, E., & The SCORE Consortium. (2024). Routine outcome

    monitoring and feedback in university mental health services. Counselling and

    Psychotherapy Research, 24(2), 459–471.

    6. Bear, H. A., Dalzell, K., Edbrooke-Childs, J., & Wolpert, M. (2022). Applying behaviour

    change theory to routine outcome monitoring. British Journal of Clinical Psychology,

    61(3), 557–578.

    7. Borgnolo, L. J., McKenna, S., Hickie, I. B., Varidel, M., Turner, A., Gorban, C.,

    LaMonica, H. M., Chong, M. K., Capon, W., Dimitropoulos, G., Battisti, R., Whitwell,

    B., Hamilton, B., Scott, E. M., & Iorfino, F. (2025). Engagement with digital mental

    health technology. Journal of Medical Internet Research, 27(3), e67597.

    8. Bugatti, M., Owen, J., Richardson, Z., Rasmussen, W., & Newton, D. (2024). Therapist

    engagement in measurement-based care. Clinical Psychology & Psychotherapy, 31(1).

    9. Cheung, B. S., Murphy, J. K., Michalak, E. E., Liu, J., Yang, X., Wang, X., Chen, J., &

    Lam, R. W. (2023). Barriers to technology-enhanced MBC for depression. Journal of

    Affective Disorders, 320, 1–6.

    10. Cuperfain, A. B., Hui, K., Berkhout, S. G., Foussias, G., Gratzer, D., Kidd, S. A.,

    Kozloff, N., Kurdyak, P., Linaksita, B., Miranda, D., Soklaridis, S., Voineskos, A. N., &

    Zaheer, J. (2021). Views of measurement-based care in early psychosis. BJPsych Open,

    7(5).

    11. de Beurs, E., Carlier, I., & van Hemert, A. (2022). Patient-reported psychopathology and

    quality of life. Quality of Life Research, 31(5), 1461–1471.

    12. El Hussein, M. T., & Bal, R. (2025). Pharmacotherapy for major depressive disorder.

    Journal for Nurse Practitioners, 21(8), 105458.

    13. Gaine, G. S., Nealis, L. J., Zhou, H., Purdon, S. E., & Abba-Aji, A. (2021). Inpatient

    recovery trajectories using ROM. Psychiatry Research, 302, 114000.

    14. Halford, W. K., & Frost, A. D. J. (2021). Depression Anxiety Stress Scale-10. Behaviour

    Change, 38(4), 221–234.

    15. He, Y., Wang, X., Wang, Z., Zhang, P., Huang, X., Yu, M., Murphy, J., Michalak, E.,

    Liu, J., Yang, T., Yang, X., Fang, Y., Lam, R., & Chen, J. (2024). Standard vs enhanced

    MBC for depression. Neuropsychiatric Disease and Treatment, 20, 1465–1473.

    16. Helldin, L., Mohn, C., Olsson-Tall, M., van Dijk-Härd, I., & Olsson, A. (2024).

    Measurement-based care in schizophrenia. Archives of Psychiatric Nursing, 53, 151–157.

    17. Hoenders, R., Bartels, A., Castelein, S., Visser, E., & Booij, S. (2021). Integrative

    outpatient mental health clinic outcomes. European Psychiatry, 64(S1).

    18. Huffman, L. G., Lawrence-Sidebottom, D., Huberty, J., Roots, M., Roots, K., Parikh, A.,

    Guerra, R., & Weiser, J. (2023). Digital MBC for youth anxiety and depression. JMIR

    Pediatrics and Parenting, 6, e46154.

    19. Ibrahim, H. M., & Jha, M. K. (2023). Measurement-based care for depression.

    Psychiatric Annals, 53(9), 395–399.

    20. Jonášová, K., Čevelíček, M., Doležal, P., & Řiháček, T. (2025). In-session use of ROM.

    Administration and Policy in Mental Health, 52(1), 106–122.

    21. Jones, S. B., Ko, H., Gatto, A. J., Kablinger, A. S., Sharp, H. D., Cooper, L. D., Tenzer,

    M. M., O’Brien, V. C., & McNamara, R. S. (2024). COVID-19 impacts using MBC.

    Journal of Patient-Reported Outcomes, 8(1), 135.

    22. Khau, M., Tabbane, K., Bloom, D., Abadi, S., Villemus, C., Rabinovitch, M., Shah, J. L.,

    Veillette, A., Iyer, S. N., Boksa, P., & Joober, R. (2022). MBC in first-episode psychosis.

    Journal of Psychiatric Research, 150, 8–16.

    23. Korsen, N., & Gerrish, S. (2022). PHQ-9 use in integrated care. Annals of Family

    Medicine, 20(Suppl 1).

    24. Kumar, M., Paz, C., Falkeström, F., & Castonguay, L. (2025). Strengthening systems

    with ROM. JAMA Psychiatry, 82(10), 953–954.

    25. Lam, R. W., Michalak, E. E., Murphy, J. K., et al. (2025). EMBED trial protocol. Cureus,

    17(8), e90395.

    26. Lampis, J., & Rocca, G. (2024). ROM use in Italian public services. Clinical Psychology

    & Psychotherapy, 31(6).

    27. Lewis, C. C., Boyd, M. R., Marti, C. N., & Albright, K. (2022). Mediators of MBC

    implementation. Implementation Science, 17(1).

    28. Lui, J. H. L., Brookman-Frazee, L., Smith, A., Lind, T., Terrones, L., Rodriguez, A.,

    Motamedi, M., Villodas, M., & Lau, A. S. (2022). Implementation facilitation strategies.

    Psychological Services, 19(2), 343–352.

    29. Machleid, F., Michnevich, T., Huang, L., Schröder-Frerkes, L., Wiegmann, C., Muffel,

    T., & Kaminski, J. (2024). Remote measurement-based care. PLOS One, 19(2),

    e0297929.

    30. McCoy, T. H., Castro, V. M., & Perlis, R. H. (2025). Estimating depression severity with

    LLMs. Journal of Affective Disorders, 381, 270–274.

    31. Meyer-Kalos, P., Owens, G., Fisher, M., et al. (2024). Putting MBC into action. BMC

    Psychiatry, 24(1), 871.

    32. Moltu, C., McAleavey, A. A., Helleseth, M. M., Møller, G. H., & Nordberg, S. S. (2021).

    Developing feedback systems. International Journal of Mental Health Systems, 15(1), 43.

    33. Patel, Z. S., Jensen-Doss, A., & Lewis, C. C. (2022). Attitudes toward MBC.

    Administration and Policy in Mental Health, 49(1), 13–28.

    34. Progovac, A. M., Fulwiler, C., Lanca, M., et al. (2025). Remote MBC rollout

    experiences. JMIR Formative Research, 9, e71570.

    35. Roebroek, L., Bruins, J., Roe, D., et al. (2021). Care needs in psychosis. Epidemiology

    and Psychiatric Sciences, 30.

    36. Rush, A. J., Gore-Langton, R. E., Bart, G., et al. (2024). Tools to implement MBC for

    OUD. Addiction Science & Clinical Practice, 19(1), 14.

    37. Sales, C. M. D., Ashworth, M., Ayis, S., et al. (2023). I-PROMs position paper. Journal

    of Clinical Psychology, 79(3), 596–621.

    38. She, Z., Xu, H., Cormier, G., Drapeau, M., & Duncan, B. L. (2024). Culture and face in

    ROM. Psychotherapy Research, 34(3), 311–322.

    39. Smits, H. J. H., Seelen-de Lang, B. L., Penterman, E. J. M., Nijman, H. L. I., &

    Noorthoorn, E. O. (2023). Quality of life outcomes in SMI. Journal of Applied Research

    in Intellectual Disabilities, 36(1), 58–67.

    40. Solstad, S. M., Kleiven, G. S., Castonguay, L. G., & Moltu, C. (2021). Clinical dilemmas

    of ROM. Psychotherapy Research, 31(2), 200–210.

    41. Solstad, S. M., Kleiven, G. S., & Moltu, C. (2021). Complexity of clinical feedback.

    Quality of Life Research, 30(11), 3117–3125.

    42. Timman, R., & Arrindell, W. A. (2022). SCL-3/7 for ROM. Acta Psychiatrica

    Scandinavica, 145(4), 397–411.

    43. Valdiviezo-Oña, J., Montesano, A., Evans, C., & Paz, C. (2023). Practice-based evidence

    via ROM. BMJ Open, 13, e071875.

    44. Van Wert, M. J., Malik, M., Memel, B., Moore, R., Buccino, D., Hackerman, F., Kumari,

    S., Everett, A., & Narrow, W. (2021). Barriers to ROM integration. Journal of Evaluation

    in Clinical Practice, 27(4), 767–775.

    45. van Sonsbeek, M. A. M. S., Hutschemaekers, G. J. M., Veerman, J. W., Vermulst, A., &

    Tiemens, B. G. (2023). Clinician-focused MBC strategies. BMC Health Services

    Research, 23(1), 326.

    46. van Sonsbeek, M. A. M. S., Hutschemaekers, G. J. M., Veerman, J. W., Vermulst, A.,

    Kleinjan, M., & Tiemens, B. G. (2021). ROM feedback challenges. Child & Youth Care

    Forum, 50(2), 307–332.

    47. Victor, S. E., Salk, R. H., Porta, G., et al. (2023). Measurement-based care for suicidal

    youth. PLOS One, 18(4), e0284073.

    48. Wiebe, D. E., Remers, S., Nippak, P., & Meyer, J. (2021). Online ROM system

    evaluation. JMIR Mental Health, 8(12), e29243.

    49. Williams, N. J., Ehrhart, M. G., Aarons, G. A., et al. (2024). Organizational climate and

    MBC. Implementation Science, 19(1), 29.

    50. Woodard, G. S., Lane, E., Ehrenreich-May, J., Ginsburg, G. S., & Jensen-Doss, A.

    (2025). Predictors of MBC fidelity. Journal of Clinical Child & Adolescent Psychology,

    54(3), 346–357.

    51. Zavaglia, E., Joober, R., Iyer, S. N., et al. (2025). Digital MBC in early psychosis.

    Schizophrenia Research, 282, 141–149.

    52. Zhou, J., Wang, X., Yang, J., Zhu, X., Xiao, L., Feng, L., & Wang, G. (2022).

    Optimization of MBC for depression. Trials, 23(1), 367.

    53. Progovac, A. M., Fulwiler, C., Lanca, M., Wang, D., Zona, K., Mulvaney-Day, N., Aldis,

    R., Leff, H. S., Wang, P., & Rosenfeld, L. C. (2025). Provider experiences with RMBC

    rollout. JMIR Formative Research, 9, e71570.

    54. Rush, A. J., Trivedi, M. H., Wisniewski, S. R., et al. (2006). Acute and longer-term

    outcomes in STAR*D. American Journal of Psychiatry, 163(11), 1905–1917.

    55. Zimmerman, M., McGlinchey, J. B., Posternak, M. A., Friedman, M., Boerescu, D., &

    Attiullah, N. (2008). How should remission be defined using the PHQ-9? Journal of

    Clinical Psychiatry, 69(12), 1856–1861.

    56. Kroenke, K., Spitzer, R. L., & Williams, J. B. W. (2001). The PHQ-9. Journal of General

    Internal Medicine, 16(9), 606–613.

    57. Spitzer, R. L., Kroenke, K., Williams, J. B. W., & Löwe, B. (2006). The GAD-7.

    Archives of Internal Medicine, 166(10), 1092–1097.

    58. Fortney, J. C., Unützer, J., Wrenn, G., Pyne, J. M., Smith, G. R., Schoenbaum, M., &

    Harbin, H. T. (2017). A tipping point for MBC. Psychiatric Services, 68(2), 179–188.

    59. Lewis, C. C., Fischer, S., Weiner, B. J., Stanick, C., Kim, M., & Martinez, R. G. (2015).

    Outcomes for implementation science. Implementation Science, 10, 1–13.

    60. Zimmerman, M., & Mattia, J. I. (2001). Psychiatric diagnosis in clinical practice.

    American Journal of Psychiatry, 158(4), 589–595.

    **LiteratureReview.docx**

    This file is too large to display. [View in new window](https://www.sweetstudy.com/files/literaturereview-docx-10504709)

    **LiteratureReview.docx**

    This file is too large to display. [View in new window](https://www.sweetstudy.com/files/literaturereview-docx-10504709)

    **## Articles.pdf**

    References

    1. Aboraya, A., Elswick, D., Berry, J., Chandran, D., Hill, C., Zheng, W., Hustead, J. D.,

    Van Oppen, D., Patel, V., Berzingi, S., Wang, K., Grimes, D., Gallucci, G., Mishra, D.,

    Shrestha, R., Justice, J., Chumber, P., Rizvi, A., Yadava, D., … Hyacinthe, J. (2025).

    Measurement-based care training curriculum in psychiatry residency programs: Four-year

    implementation experience and future directions. Innovations in Clinical Neuroscience,

    22(4–6), 20–26.

    2. Aldis, R., Rosenfeld, L. C., Mulvaney-Day, N., Lanca, M., Zona, K., Lam, J. A., Asfour,

    J., Meltzer, J. C., Leff, H. S., Fulwiler, C., Wang, P., & Progovac, A. M. (2024).

    Determinants of remote measurement-based care uptake in a safety-net outpatient

    psychiatry department. Learning Health Systems, 8(S1), e10416.

    3. Askari, N., Gupta, R., Hussain-Shamsy, N., Barker, L. C., Champagne, T., Lam, R. W.,

    Bishop, K., Pirmohamed, J., Michalowska, M., Shah, V., Katzman, H., Jalan, A.,

    Shanmuganathan, A., Wang, V., & Vigod, S. N. (2025). Electronic measurement-based

    care for perinatal depression and anxiety. BMC Psychiatry, 25(1), 437.

    4. Azizian Kia, S., Wittkampf, L., van Lankeren, J., & Janse, P. (2025). Motives of

    therapists for using routine outcome monitoring. Administration and Policy in Mental

    Health, 52(1), 159–170.

    5. Barkham, M., Broglia, E., & The SCORE Consortium. (2024). Routine outcome

    monitoring and feedback in university mental health services. Counselling and

    Psychotherapy Research, 24(2), 459–471.

    6. Bear, H. A., Dalzell, K., Edbrooke-Childs, J., & Wolpert, M. (2022). Applying behaviour

    change theory to routine outcome monitoring. British Journal of Clinical Psychology,

    61(3), 557–578.

    7. Borgnolo, L. J., McKenna, S., Hickie, I. B., Varidel, M., Turner, A., Gorban, C.,

    LaMonica, H. M., Chong, M. K., Capon, W., Dimitropoulos, G., Battisti, R., Whitwell,

    B., Hamilton, B., Scott, E. M., & Iorfino, F. (2025). Engagement with digital mental

    health technology. Journal of Medical Internet Research, 27(3), e67597.

    8. Bugatti, M., Owen, J., Richardson, Z., Rasmussen, W., & Newton, D. (2024). Therapist

    engagement in measurement-based care. Clinical Psychology & Psychotherapy, 31(1).

    9. Cheung, B. S., Murphy, J. K., Michalak, E. E., Liu, J., Yang, X., Wang, X., Chen, J., &

    Lam, R. W. (2023). Barriers to technology-enhanced MBC for depression. Journal of

    Affective Disorders, 320, 1–6.

    10. Cuperfain, A. B., Hui, K., Berkhout, S. G., Foussias, G., Gratzer, D., Kidd, S. A.,

    Kozloff, N., Kurdyak, P., Linaksita, B., Miranda, D., Soklaridis, S., Voineskos, A. N., &

    Zaheer, J. (2021). Views of measurement-based care in early psychosis. BJPsych Open,

    7(5).

    11. de Beurs, E., Carlier, I., & van Hemert, A. (2022). Patient-reported psychopathology and

    quality of life. Quality of Life Research, 31(5), 1461–1471.

    12. El Hussein, M. T., & Bal, R. (2025). Pharmacotherapy for major depressive disorder.

    Journal for Nurse Practitioners, 21(8), 105458.

    13. Gaine, G. S., Nealis, L. J., Zhou, H., Purdon, S. E., & Abba-Aji, A. (2021). Inpatient

    recovery trajectories using ROM. Psychiatry Research, 302, 114000.

    14. Halford, W. K., & Frost, A. D. J. (2021). Depression Anxiety Stress Scale-10. Behaviour

    Change, 38(4), 221–234.

    15. He, Y., Wang, X., Wang, Z., Zhang, P., Huang, X., Yu, M., Murphy, J., Michalak, E.,

    Liu, J., Yang, T., Yang, X., Fang, Y., Lam, R., & Chen, J. (2024). Standard vs enhanced

    MBC for depression. Neuropsychiatric Disease and Treatment, 20, 1465–1473.

    16. Helldin, L., Mohn, C., Olsson-Tall, M., van Dijk-Härd, I., & Olsson, A. (2024).

    Measurement-based care in schizophrenia. Archives of Psychiatric Nursing, 53, 151–157.

    17. Hoenders, R., Bartels, A., Castelein, S., Visser, E., & Booij, S. (2021). Integrative

    outpatient mental health clinic outcomes. European Psychiatry, 64(S1).

    18. Huffman, L. G., Lawrence-Sidebottom, D., Huberty, J., Roots, M., Roots, K., Parikh, A.,

    Guerra, R., & Weiser, J. (2023). Digital MBC for youth anxiety and depression. JMIR

    Pediatrics and Parenting, 6, e46154.

    19. Ibrahim, H. M., & Jha, M. K. (2023). Measurement-based care for depression.

    Psychiatric Annals, 53(9), 395–399.

    20. Jonášová, K., Čevelíček, M., Doležal, P., & Řiháček, T. (2025). In-session use of ROM.

    Administration and Policy in Mental Health, 52(1), 106–122.

    21. Jones, S. B., Ko, H., Gatto, A. J., Kablinger, A. S., Sharp, H. D., Cooper, L. D., Tenzer,

    M. M., O’Brien, V. C., & McNamara, R. S. (2024). COVID-19 impacts using MBC.

    Journal of Patient-Reported Outcomes, 8(1), 135.

    22. Khau, M., Tabbane, K., Bloom, D., Abadi, S., Villemus, C., Rabinovitch, M., Shah, J. L.,

    Veillette, A., Iyer, S. N., Boksa, P., & Joober, R. (2022). MBC in first-episode psychosis.

    Journal of Psychiatric Research, 150, 8–16.

    23. Korsen, N., & Gerrish, S. (2022). PHQ-9 use in integrated care. Annals of Family

    Medicine, 20(Suppl 1).

    24. Kumar, M., Paz, C., Falkeström, F., & Castonguay, L. (2025). Strengthening systems

    with ROM. JAMA Psychiatry, 82(10), 953–954.

    25. Lam, R. W., Michalak, E. E., Murphy, J. K., et al. (2025). EMBED trial protocol. Cureus,

    17(8), e90395.

    26. Lampis, J., & Rocca, G. (2024). ROM use in Italian public services. Clinical Psychology

    & Psychotherapy, 31(6).

    27. Lewis, C. C., Boyd, M. R., Marti, C. N., & Albright, K. (2022). Mediators of MBC

    implementation. Implementation Science, 17(1).

    28. Lui, J. H. L., Brookman-Frazee, L., Smith, A., Lind, T., Terrones, L., Rodriguez, A.,

    Motamedi, M., Villodas, M., & Lau, A. S. (2022). Implementation facilitation strategies.

    Psychological Services, 19(2), 343–352.

    29. Machleid, F., Michnevich, T., Huang, L., Schröder-Frerkes, L., Wiegmann, C., Muffel,

    T., & Kaminski, J. (2024). Remote measurement-based care. PLOS One, 19(2),

    e0297929.

    30. McCoy, T. H., Castro, V. M., & Perlis, R. H. (2025). Estimating depression severity with

    LLMs. Journal of Affective Disorders, 381, 270–274.

    31. Meyer-Kalos, P., Owens, G., Fisher, M., et al. (2024). Putting MBC into action. BMC

    Psychiatry, 24(1), 871.

    32. Moltu, C., McAleavey, A. A., Helleseth, M. M., Møller, G. H., & Nordberg, S. S. (2021).

    Developing feedback systems. International Journal of Mental Health Systems, 15(1), 43.

    33. Patel, Z. S., Jensen-Doss, A., & Lewis, C. C. (2022). Attitudes toward MBC.

    Administration and Policy in Mental Health, 49(1), 13–28.

    34. Progovac, A. M., Fulwiler, C., Lanca, M., et al. (2025). Remote MBC rollout

    experiences. JMIR Formative Research, 9, e71570.

    35. Roebroek, L., Bruins, J., Roe, D., et al. (2021). Care needs in psychosis. Epidemiology

    and Psychiatric Sciences, 30.

    36. Rush, A. J., Gore-Langton, R. E., Bart, G., et al. (2024). Tools to implement MBC for

    OUD. Addiction Science & Clinical Practice, 19(1), 14.

    37. Sales, C. M. D., Ashworth, M., Ayis, S., et al. (2023). I-PROMs position paper. Journal

    of Clinical Psychology, 79(3), 596–621.

    38. She, Z., Xu, H., Cormier, G., Drapeau, M., & Duncan, B. L. (2024). Culture and face in

    ROM. Psychotherapy Research, 34(3), 311–322.

    39. Smits, H. J. H., Seelen-de Lang, B. L., Penterman, E. J. M., Nijman, H. L. I., &

    Noorthoorn, E. O. (2023). Quality of life outcomes in SMI. Journal of Applied Research

    in Intellectual Disabilities, 36(1), 58–67.

    40. Solstad, S. M., Kleiven, G. S., Castonguay, L. G., & Moltu, C. (2021). Clinical dilemmas

    of ROM. Psychotherapy Research, 31(2), 200–210.

    41. Solstad, S. M., Kleiven, G. S., & Moltu, C. (2021). Complexity of clinical feedback.

    Quality of Life Research, 30(11), 3117–3125.

    42. Timman, R., & Arrindell, W. A. (2022). SCL-3/7 for ROM. Acta Psychiatrica

    Scandinavica, 145(4), 397–411.

    43. Valdiviezo-Oña, J., Montesano, A., Evans, C., & Paz, C. (2023). Practice-based evidence

    via ROM. BMJ Open, 13, e071875.

    44. Van Wert, M. J., Malik, M., Memel, B., Moore, R., Buccino, D., Hackerman, F., Kumari,

    S., Everett, A., & Narrow, W. (2021). Barriers to ROM integration. Journal of Evaluation

    in Clinical Practice, 27(4), 767–775.

    45. van Sonsbeek, M. A. M. S., Hutschemaekers, G. J. M., Veerman, J. W., Vermulst, A., &

    Tiemens, B. G. (2023). Clinician-focused MBC strategies. BMC Health Services

    Research, 23(1), 326.

    46. van Sonsbeek, M. A. M. S., Hutschemaekers, G. J. M., Veerman, J. W., Vermulst, A.,

    Kleinjan, M., & Tiemens, B. G. (2021). ROM feedback challenges. Child & Youth Care

    Forum, 50(2), 307–332.

    47. Victor, S. E., Salk, R. H., Porta, G., et al. (2023). Measurement-based care for suicidal

    youth. PLOS One, 18(4), e0284073.

    48. Wiebe, D. E., Remers, S., Nippak, P., & Meyer, J. (2021). Online ROM system

    evaluation. JMIR Mental Health, 8(12), e29243.

    49. Williams, N. J., Ehrhart, M. G., Aarons, G. A., et al. (2024). Organizational climate and

    MBC. Implementation Science, 19(1), 29.

    50. Woodard, G. S., Lane, E., Ehrenreich-May, J., Ginsburg, G. S., & Jensen-Doss, A.

    (2025). Predictors of MBC fidelity. Journal of Clinical Child & Adolescent Psychology,

    54(3), 346–357.

    51. Zavaglia, E., Joober, R., Iyer, S. N., et al. (2025). Digital MBC in early psychosis.

    Schizophrenia Research, 282, 141–149.

    52. Zhou, J., Wang, X., Yang, J., Zhu, X., Xiao, L., Feng, L., & Wang, G. (2022).

    Optimization of MBC for depression. Trials, 23(1), 367.

    53. Progovac, A. M., Fulwiler, C., Lanca, M., Wang, D., Zona, K., Mulvaney-Day, N., Aldis,

    R., Leff, H. S., Wang, P., & Rosenfeld, L. C. (2025). Provider experiences with RMBC

    rollout. JMIR Formative Research, 9, e71570.

    54. Rush, A. J., Trivedi, M. H., Wisniewski, S. R., et al. (2006). Acute and longer-term

    outcomes in STAR*D. American Journal of Psychiatry, 163(11), 1905–1917.

    55. Zimmerman, M., McGlinchey, J. B., Posternak, M. A., Friedman, M., Boerescu, D., &

    Attiullah, N. (2008). How should remission be defined using the PHQ-9? Journal of

    Clinical Psychiatry, 69(12), 1856–1861.

    56. Kroenke, K., Spitzer, R. L., & Williams, J. B. W. (2001). The PHQ-9. Journal of General

    Internal Medicine, 16(9), 606–613.

    57. Spitzer, R. L., Kroenke, K., Williams, J. B. W., & Löwe, B. (2006). The GAD-7.

    Archives of Internal Medicine, 166(10), 1092–1097.

    58. Fortney, J. C., Unützer, J., Wrenn, G., Pyne, J. M., Smith, G. R., Schoenbaum, M., &

    Harbin, H. T. (2017). A tipping point for MBC. Psychiatric Services, 68(2), 179–188.

    59. Lewis, C. C., Fischer, S., Weiner, B. J., Stanick, C., Kim, M., & Martinez, R. G. (2015).

    Outcomes for implementation science. Implementation Science, 10, 1–13.

    60. Zimmerman, M., & Mattia, J. I. (2001). Psychiatric diagnosis in clinical practice.

    American Journal of Psychiatry, 158(4), 589–595.

    **LiteratureReview.docx**

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    **## Articles.pdf**

    References

    1. Aboraya, A., Elswick, D., Berry, J., Chandran, D., Hill, C., Zheng, W., Hustead, J. D.,

    Van Oppen, D., Patel, V., Berzingi, S., Wang, K., Grimes, D., Gallucci, G., Mishra, D.,

    Shrestha, R., Justice, J., Chumber, P., Rizvi, A., Yadava, D., … Hyacinthe, J. (2025).

    Measurement-based care training curriculum in psychiatry residency programs: Four-year

    implementation experience and future directions. Innovations in Clinical Neuroscience,

    22(4–6), 20–26.

    2. Aldis, R., Rosenfeld, L. C., Mulvaney-Day, N., Lanca, M., Zona, K., Lam, J. A., Asfour,

    J., Meltzer, J. C., Leff, H. S., Fulwiler, C., Wang, P., & Progovac, A. M. (2024).

    Determinants of remote measurement-based care uptake in a safety-net outpatient

    psychiatry department. Learning Health Systems, 8(S1), e10416.

    3. Askari, N., Gupta, R., Hussain-Shamsy, N., Barker, L. C., Champagne, T., Lam, R. W.,

    Bishop, K., Pirmohamed, J., Michalowska, M., Shah, V., Katzman, H., Jalan, A.,

    Shanmuganathan, A., Wang, V., & Vigod, S. N. (2025). Electronic measurement-based

    care for perinatal depression and anxiety. BMC Psychiatry, 25(1), 437.

    4. Azizian Kia, S., Wittkampf, L., van Lankeren, J., & Janse, P. (2025). Motives of

    therapists for using routine outcome monitoring. Administration and Policy in Mental

    Health, 52(1), 159–170.

    5. Barkham, M., Broglia, E., & The SCORE Consortium. (2024). Routine outcome

    monitoring and feedback in university mental health services. Counselling and

    Psychotherapy Research, 24(2), 459–471.

    6. Bear, H. A., Dalzell, K., Edbrooke-Childs, J., & Wolpert, M. (2022). Applying behaviour

    change theory to routine outcome monitoring. British Journal of Clinical Psychology,

    61(3), 557–578.

    7. Borgnolo, L. J., McKenna, S., Hickie, I. B., Varidel, M., Turner, A., Gorban, C.,

    LaMonica, H. M., Chong, M. K., Capon, W., Dimitropoulos, G., Battisti, R., Whitwell,

    B., Hamilton, B., Scott, E. M., & Iorfino, F. (2025). Engagement with digital mental

    health technology. Journal of Medical Internet Research, 27(3), e67597.

    8. Bugatti, M., Owen, J., Richardson, Z., Rasmussen, W., & Newton, D. (2024). Therapist

    engagement in measurement-based care. Clinical Psychology & Psychotherapy, 31(1).

    9. Cheung, B. S., Murphy, J. K., Michalak, E. E., Liu, J., Yang, X., Wang, X., Chen, J., &

    Lam, R. W. (2023). Barriers to technology-enhanced MBC for depression. Journal of

    Affective Disorders, 320, 1–6.

    10. Cuperfain, A. B., Hui, K., Berkhout, S. G., Foussias, G., Gratzer, D., Kidd, S. A.,

    Kozloff, N., Kurdyak, P., Linaksita, B., Miranda, D., Soklaridis, S., Voineskos, A. N., &

    Zaheer, J. (2021). Views of measurement-based care in early psychosis. BJPsych Open,

    7(5).

    11. de Beurs, E., Carlier, I., & van Hemert, A. (2022). Patient-reported psychopathology and

    quality of life. Quality of Life Research, 31(5), 1461–1471.

    12. El Hussein, M. T., & Bal, R. (2025). Pharmacotherapy for major depressive disorder.

    Journal for Nurse Practitioners, 21(8), 105458.

    13. Gaine, G. S., Nealis, L. J., Zhou, H., Purdon, S. E., & Abba-Aji, A. (2021). Inpatient

    recovery trajectories using ROM. Psychiatry Research, 302, 114000.

    14. Halford, W. K., & Frost, A. D. J. (2021). Depression Anxiety Stress Scale-10. Behaviour

    Change, 38(4), 221–234.

    15. He, Y., Wang, X., Wang, Z., Zhang, P., Huang, X., Yu, M., Murphy, J., Michalak, E.,

    Liu, J., Yang, T., Yang, X., Fang, Y., Lam, R., & Chen, J. (2024). Standard vs enhanced

    MBC for depression. Neuropsychiatric Disease and Treatment, 20, 1465–1473.

    16. Helldin, L., Mohn, C., Olsson-Tall, M., van Dijk-Härd, I., & Olsson, A. (2024).

    Measurement-based care in schizophrenia. Archives of Psychiatric Nursing, 53, 151–157.

    17. Hoenders, R., Bartels, A., Castelein, S., Visser, E., & Booij, S. (2021). Integrative

    outpatient mental health clinic outcomes. European Psychiatry, 64(S1).

    18. Huffman, L. G., Lawrence-Sidebottom, D., Huberty, J., Roots, M., Roots, K., Parikh, A.,

    Guerra, R., & Weiser, J. (2023). Digital MBC for youth anxiety and depression. JMIR

    Pediatrics and Parenting, 6, e46154.

    19. Ibrahim, H. M., & Jha, M. K. (2023). Measurement-based care for depression.

    Psychiatric Annals, 53(9), 395–399.

    20. Jonášová, K., Čevelíček, M., Doležal, P., & Řiháček, T. (2025). In-session use of ROM.

    Administration and Policy in Mental Health, 52(1), 106–122.

    21. Jones, S. B., Ko, H., Gatto, A. J., Kablinger, A. S., Sharp, H. D., Cooper, L. D., Tenzer,

    M. M., O’Brien, V. C., & McNamara, R. S. (2024). COVID-19 impacts using MBC.

    Journal of Patient-Reported Outcomes, 8(1), 135.

    22. Khau, M., Tabbane, K., Bloom, D., Abadi, S., Villemus, C., Rabinovitch, M., Shah, J. L.,

    Veillette, A., Iyer, S. N., Boksa, P., & Joober, R. (2022). MBC in first-episode psychosis.

    Journal of Psychiatric Research, 150, 8–16.

    23. Korsen, N., & Gerrish, S. (2022). PHQ-9 use in integrated care. Annals of Family

    Medicine, 20(Suppl 1).

    24. Kumar, M., Paz, C., Falkeström, F., & Castonguay, L. (2025). Strengthening systems

    with ROM. JAMA Psychiatry, 82(10), 953–954.

    25. Lam, R. W., Michalak, E. E., Murphy, J. K., et al. (2025). EMBED trial protocol. Cureus,

    17(8), e90395.

    26. Lampis, J., & Rocca, G. (2024). ROM use in Italian public services. Clinical Psychology

    & Psychotherapy, 31(6).

    27. Lewis, C. C., Boyd, M. R., Marti, C. N., & Albright, K. (2022). Mediators of MBC

    implementation. Implementation Science, 17(1).

    28. Lui, J. H. L., Brookman-Frazee, L., Smith, A., Lind, T., Terrones, L., Rodriguez, A.,

    Motamedi, M., Villodas, M., & Lau, A. S. (2022). Implementation facilitation strategies.

    Psychological Services, 19(2), 343–352.

    29. Machleid, F., Michnevich, T., Huang, L., Schröder-Frerkes, L., Wiegmann, C., Muffel,

    T., & Kaminski, J. (2024). Remote measurement-based care. PLOS One, 19(2),

    e0297929.

    30. McCoy, T. H., Castro, V. M., & Perlis, R. H. (2025). Estimating depression severity with

    LLMs. Journal of Affective Disorders, 381, 270–274.

    31. Meyer-Kalos, P., Owens, G., Fisher, M., et al. (2024). Putting MBC into action. BMC

    Psychiatry, 24(1), 871.

    32. Moltu, C., McAleavey, A. A., Helleseth, M. M., Møller, G. H., & Nordberg, S. S. (2021).

    Developing feedback systems. International Journal of Mental Health Systems, 15(1), 43.

    33. Patel, Z. S., Jensen-Doss, A., & Lewis, C. C. (2022). Attitudes toward MBC.

    Administration and Policy in Mental Health, 49(1), 13–28.

    34. Progovac, A. M., Fulwiler, C., Lanca, M., et al. (2025). Remote MBC rollout

    experiences. JMIR Formative Research, 9, e71570.

    35. Roebroek, L., Bruins, J., Roe, D., et al. (2021). Care needs in psychosis. Epidemiology

    and Psychiatric Sciences, 30.

    36. Rush, A. J., Gore-Langton, R. E., Bart, G., et al. (2024). Tools to implement MBC for

    OUD. Addiction Science & Clinical Practice, 19(1), 14.

    37. Sales, C. M. D., Ashworth, M., Ayis, S., et al. (2023). I-PROMs position paper. Journal

    of Clinical Psychology, 79(3), 596–621.

    38. She, Z., Xu, H., Cormier, G., Drapeau, M., & Duncan, B. L. (2024). Culture and face in

    ROM. Psychotherapy Research, 34(3), 311–322.

    39. Smits, H. J. H., Seelen-de Lang, B. L., Penterman, E. J. M., Nijman, H. L. I., &

    Noorthoorn, E. O. (2023). Quality of life outcomes in SMI. Journal of Applied Research

    in Intellectual Disabilities, 36(1), 58–67.

    40. Solstad, S. M., Kleiven, G. S., Castonguay, L. G., & Moltu, C. (2021). Clinical dilemmas

    of ROM. Psychotherapy Research, 31(2), 200–210.

    41. Solstad, S. M., Kleiven, G. S., & Moltu, C. (2021). Complexity of clinical feedback.

    Quality of Life Research, 30(11), 3117–3125.

    42. Timman, R., & Arrindell, W. A. (2022). SCL-3/7 for ROM. Acta Psychiatrica

    Scandinavica, 145(4), 397–411.

    43. Valdiviezo-Oña, J., Montesano, A., Evans, C., & Paz, C. (2023). Practice-based evidence

    via ROM. BMJ Open, 13, e071875.

    44. Van Wert, M. J., Malik, M., Memel, B., Moore, R., Buccino, D., Hackerman, F., Kumari,

    S., Everett, A., & Narrow, W. (2021). Barriers to ROM integration. Journal of Evaluation

    in Clinical Practice, 27(4), 767–775.

    45. van Sonsbeek, M. A. M. S., Hutschemaekers, G. J. M., Veerman, J. W., Vermulst, A., &

    Tiemens, B. G. (2023). Clinician-focused MBC strategies. BMC Health Services

    Research, 23(1), 326.

    46. van Sonsbeek, M. A. M. S., Hutschemaekers, G. J. M., Veerman, J. W., Vermulst, A.,

    Kleinjan, M., & Tiemens, B. G. (2021). ROM feedback challenges. Child & Youth Care

    Forum, 50(2), 307–332.

    47. Victor, S. E., Salk, R. H., Porta, G., et al. (2023). Measurement-based care for suicidal

    youth. PLOS One, 18(4), e0284073.

    48. Wiebe, D. E., Remers, S., Nippak, P., & Meyer, J. (2021). Online ROM system

    evaluation. JMIR Mental Health, 8(12), e29243.

    49. Williams, N. J., Ehrhart, M. G., Aarons, G. A., et al. (2024). Organizational climate and

    MBC. Implementation Science, 19(1), 29.

    50. Woodard, G. S., Lane, E., Ehrenreich-May, J., Ginsburg, G. S., & Jensen-Doss, A.

    (2025). Predictors of MBC fidelity. Journal of Clinical Child & Adolescent Psychology,

    54(3), 346–357.

    51. Zavaglia, E., Joober, R., Iyer, S. N., et al. (2025). Digital MBC in early psychosis.

    Schizophrenia Research, 282, 141–149.

    52. Zhou, J., Wang, X., Yang, J., Zhu, X., Xiao, L., Feng, L., & Wang, G. (2022).

    Optimization of MBC for depression. Trials, 23(1), 367.

    53. Progovac, A. M., Fulwiler, C., Lanca, M., Wang, D., Zona, K., Mulvaney-Day, N., Aldis,

    R., Leff, H. S., Wang, P., & Rosenfeld, L. C. (2025). Provider experiences with RMBC

    rollout. JMIR Formative Research, 9, e71570.

    54. Rush, A. J., Trivedi, M. H., Wisniewski, S. R., et al. (2006). Acute and longer-term

    outcomes in STAR*D. American Journal of Psychiatry, 163(11), 1905–1917.

    55. Zimmerman, M., McGlinchey, J. B., Posternak, M. A., Friedman, M., Boerescu, D., &

    Attiullah, N. (2008). How should remission be defined using the PHQ-9? Journal of

    Clinical Psychiatry, 69(12), 1856–1861.

    56. Kroenke, K., Spitzer, R. L., & Williams, J. B. W. (2001). The PHQ-9. Journal of General

    Internal Medicine, 16(9), 606–613.

    57. Spitzer, R. L., Kroenke, K., Williams, J. B. W., & Löwe, B. (2006). The GAD-7.

    Archives of Internal Medicine, 166(10), 1092–1097.

    58. Fortney, J. C., Unützer, J., Wrenn, G., Pyne, J. M., Smith, G. R., Schoenbaum, M., &

    Harbin, H. T. (2017). A tipping point for MBC. Psychiatric Services, 68(2), 179–188.

    59. Lewis, C. C., Fischer, S., Weiner, B. J., Stanick, C., Kim, M., & Martinez, R. G. (2015).

    Outcomes for implementation science. Implementation Science, 10, 1–13.

    60. Zimmerman, M., & Mattia, J. I. (2001). Psychiatric diagnosis in clinical practice.

    American Journal of Psychiatry, 158(4), 589–595.

    **LiteratureReview.docx**

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  • [Solved] Response- POPULATION HEALTH AND EPIDEMIOLOGY THEN AND NO

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    respond to the 2 people in the attached

    **Respond** to **at least two** colleagues on **two different days** in one or more of the following ways:

    – Ask a probing question, substantiated with additional background information, evidence, or research.
    – Share an insight from having read your colleagues’ postings, synthesizing the information to provide new perspectives.
    – Offer and support an alternative perspective using readings from the classroom or from your own research in the Walden Library.
    – Validate an idea with your own experience and additional research.
    – Make a suggestion based on additional evidence drawn from readings or after synthesizing multiple postings.
    – Expand on your colleagues’ postings by providing additional insights or contrasting perspectives based on readings and evidence.

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    **files (1)** – ## freezing_point_lab.pdf **## freezing_point_lab.pdf** Virtual Lab: Freezing-Point Depression and Molecular Weight (Cryoscopy) Adapted from Advanced Chemistry with Vernier, Experiment 4 Using the Physical Chemistry Virtual Lab (vLabs) Cryoscopy Simulation https://pcv-amrt.vlabs….

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    **files (1)**

    – ## freezing_point_lab.pdf

    **## freezing_point_lab.pdf**

    Virtual Lab:

    Freezing-Point Depression and Molecular Weight

    (Cryoscopy)

    Adapted from Advanced Chemistry with Vernier, Experiment 4

    Using the Physical Chemistry Virtual Lab (vLabs) Cryoscopy Simulation

    https://pcv-amrt.vlabs.ac.in/exp/cryoscopy/simulation.html

    Introduction

    When a solute is dissolved in a solvent, the freezing temperature of the resulting solution is
    lower than the freezing point of the pure solvent. This phenomenon is known as freezing-point

    depression and is classified as a colligative property, meaning it depends on the number of

    solute particles present in solution rather than their chemical identity.

    The relationship between freezing-point depression and solution concentration is described by

    the equation:

    ΔTf = Kf × i × m

    where ΔTf is the freezing-point depression, Kf is the cryoscopic constant (molal freezing-point

    depression constant) of the solvent, i is the van’t Hoff factor, and m is the molality of the solution

    (mol solute / kg solvent).

    This equation can be rearranged to solve for the molecular weight of an unknown solute:

    MB = (1000 × Kf × i × WB) / (ΔTf × WA)

    where WB is the mass of solute (g), WA is the mass of solvent (g), and MB is the molar mass of

    the solute (g/mol).

    The van’t Hoff factor (i) accounts for dissociation or association of the solute. For non-

    electrolytes (like sugar or benzoic acid), i = 1. For strong electrolytes like NaCl, i = 2 (dissociates

    into Na⁺ and Cl⁻), and for CaCl2, i = 3.

    In this virtual lab, you will use an online cryoscopy simulation to investigate freezing-point
    depression with multiple solvent-solute systems, determine unknown molecular weights, and

    compare your results with accepted values.

    Objectives

    • Explore the theory of freezing-point depression (cryoscopy) using an online simulation.

    • Use the cryoscopic equation to calculate freezing-point depression for known solutions.

    • Determine the molecular weight of an unknown solute from simulated experimental data.

    • Understand the role of the van’t Hoff factor for electrolytes vs. non-electrolytes.

    • Calculate percent error between experimental and accepted molecular weights.

    Reference Data: Cryoscopic Constants

    The following table lists cryoscopic constants and freezing points for common solvents used in

    this simulation. You will need these values for your calculations.

    Solvent Freezing Point (°C) Kf (°C·kg/mol) Molar Mass (g/mol)

    Water (H₂O) 0.00 −1.86 18.015

    Benzene (C₆H₆) 5.50 −4.90 78.11

    Carbon tetrachloride (CCl₄) −22.62 −29.8 153.82

    Carbon disulfide (CS₂) −111.61 −3.83 76.14

    Lauric acid 43.8 −3.9 200.32

    Procedure

    Part I: Explore the Virtual Lab

    1. Open the virtual lab in your web browser by navigating to:
    https://pcv-amrt.vlabs.ac.in/exp/cryoscopy/index.html

    2. Before using the simulation, read through the Theory tab on the virtual lab website to

    review the equations and concepts.

    3. Complete the Self Evaluation (pretest) questions on the virtual lab site. These will help

    you check your understanding before proceeding.

    4. Familiarize yourself with the simulation interface. Identify where you select the solvent,
    the solute, and where you enter the masses of each. Note how the simulation reports the

    freezing-point depression and/or the depressed freezing point.

    Part II: Freezing-Point Depression of a Known Solution

    In this part, you will verify the cryoscopic equation by using the simulation with a known solute
    (one whose molar mass you can look up). Compare the simulation’s output with your hand-

    calculated values.

    1. In the simulation, select Water as the solvent.

    2. Select a non-electrolyte solute available in the simulation (e.g., urea or sucrose).

    3. Enter a mass of solvent (e.g., 100 g of water) and a mass of solute (e.g., 5 g). Record

    your exact values.

    4. Run the simulation and record the freezing point of the solution as reported.

    5. Record all data in Data Table 1.

    Part III: Determining an Unknown Molecular Weight

    Now use a different solvent-solute combination to determine the molecular weight of the solute,

    as if it were unknown.

    1. Select a different solvent (e.g., Benzene or Carbon tetrachloride).

    2. Select a solute available in the simulation. Record its name, but pretend you do not

    know its molar mass.

    1. Enter masses for solvent and solute. Record exact values.

    2. Run the simulation. Record the freezing point of the solution.

    3. Use the cryoscopic equation to calculate the experimental molecular weight of the

    solute.

    4. Record all data in Data Table 2.

    [https://pcv-amrt.vlabs.ac.in/exp/cryoscopy/index.html](https://pcv-amrt.vlabs.ac.in/exp/cryoscopy/index.html)

    Data Tables

    Data Table 1: Known Solution (Part II)

    Measurement Value

    Solvent selected

    Solute selected

    Mass of solvent, W_A (g)

    Mass of solute, W_B (g)

    Freezing point of pure solvent (°C)

    Freezing point of solution from simulation (°C)

    Kf of solvent (°C·kg/mol)

    Van’t Hoff factor (i)

    Known molar mass of solute (g/mol)

    Data Table 2: Unknown Molecular Weight (Part III)

    Measurement Value

    Solvent selected

    Solute selected

    Mass of solvent, W_A (g)

    Mass of solute, W_B (g)

    Freezing point of pure solvent (°C)

    Freezing point of solution from simulation (°C)

    Observed ΔTf (°C)

    Kf of solvent (°C·kg/mol)

    Van’t Hoff factor (i)

    Data Analysis

    Complete the following calculations. Show all work with proper units.

    1. Using your Data Table 1, calculate the expected ΔTf using the cryoscopic equation: ΔTf
    = Kf × i × m. First calculate molality from the known molar mass of your solute and the

    mass of solvent. Compare your calculated ΔTf with the simulation’s result.

    2. Using your Data Table 2, calculate the molality (m) from the observed ΔTf and the

    known Kf of your solvent. Use: m = ΔTf / (Kf × i).

    3. From the molality calculated in #2, determine the moles of solute. Use: moles = m ×

    (mass of solvent in kg).

    4. Calculate the experimental molecular weight of the solute: MW = (mass of solute in g) /

    (moles of solute).

    5. Look up the accepted molecular weight of your Part III solute. Calculate the percent

    error: % error = |experimental − accepted| / accepted × 100%.

    **## freezing_point_lab.pdf**

    Virtual Lab:

    Freezing-Point Depression and Molecular Weight

    (Cryoscopy)

    Adapted from Advanced Chemistry with Vernier, Experiment 4

    Using the Physical Chemistry Virtual Lab (vLabs) Cryoscopy Simulation

    https://pcv-amrt.vlabs.ac.in/exp/cryoscopy/simulation.html

    Introduction

    When a solute is dissolved in a solvent, the freezing temperature of the resulting solution is
    lower than the freezing point of the pure solvent. This phenomenon is known as freezing-point

    depression and is classified as a colligative property, meaning it depends on the number of

    solute particles present in solution rather than their chemical identity.

    The relationship between freezing-point depression and solution concentration is described by

    the equation:

    ΔTf = Kf × i × m

    where ΔTf is the freezing-point depression, Kf is the cryoscopic constant (molal freezing-point

    depression constant) of the solvent, i is the van’t Hoff factor, and m is the molality of the solution

    (mol solute / kg solvent).

    This equation can be rearranged to solve for the molecular weight of an unknown solute:

    MB = (1000 × Kf × i × WB) / (ΔTf × WA)

    where WB is the mass of solute (g), WA is the mass of solvent (g), and MB is the molar mass of

    the solute (g/mol).

    The van’t Hoff factor (i) accounts for dissociation or association of the solute. For non-

    electrolytes (like sugar or benzoic acid), i = 1. For strong electrolytes like NaCl, i = 2 (dissociates

    into Na⁺ and Cl⁻), and for CaCl2, i = 3.

    In this virtual lab, you will use an online cryoscopy simulation to investigate freezing-point
    depression with multiple solvent-solute systems, determine unknown molecular weights, and

    compare your results with accepted values.

    Objectives

    • Explore the theory of freezing-point depression (cryoscopy) using an online simulation.

    • Use the cryoscopic equation to calculate freezing-point depression for known solutions.

    • Determine the molecular weight of an unknown solute from simulated experimental data.

    • Understand the role of the van’t Hoff factor for electrolytes vs. non-electrolytes.

    • Calculate percent error between experimental and accepted molecular weights.

    Reference Data: Cryoscopic Constants

    The following table lists cryoscopic constants and freezing points for common solvents used in

    this simulation. You will need these values for your calculations.

    Solvent Freezing Point (°C) Kf (°C·kg/mol) Molar Mass (g/mol)

    Water (H₂O) 0.00 −1.86 18.015

    Benzene (C₆H₆) 5.50 −4.90 78.11

    Carbon tetrachloride (CCl₄) −22.62 −29.8 153.82

    Carbon disulfide (CS₂) −111.61 −3.83 76.14

    Lauric acid 43.8 −3.9 200.32

    Procedure

    Part I: Explore the Virtual Lab

    1. Open the virtual lab in your web browser by navigating to:
    https://pcv-amrt.vlabs.ac.in/exp/cryoscopy/index.html

    2. Before using the simulation, read through the Theory tab on the virtual lab website to

    review the equations and concepts.

    3. Complete the Self Evaluation (pretest) questions on the virtual lab site. These will help

    you check your understanding before proceeding.

    4. Familiarize yourself with the simulation interface. Identify where you select the solvent,
    the solute, and where you enter the masses of each. Note how the simulation reports the

    freezing-point depression and/or the depressed freezing point.

    Part II: Freezing-Point Depression of a Known Solution

    In this part, you will verify the cryoscopic equation by using the simulation with a known solute
    (one whose molar mass you can look up). Compare the simulation’s output with your hand-

    calculated values.

    1. In the simulation, select Water as the solvent.

    2. Select a non-electrolyte solute available in the simulation (e.g., urea or sucrose).

    3. Enter a mass of solvent (e.g., 100 g of water) and a mass of solute (e.g., 5 g). Record

    your exact values.

    4. Run the simulation and record the freezing point of the solution as reported.

    5. Record all data in Data Table 1.

    Part III: Determining an Unknown Molecular Weight

    Now use a different solvent-solute combination to determine the molecular weight of the solute,

    as if it were unknown.

    1. Select a different solvent (e.g., Benzene or Carbon tetrachloride).

    2. Select a solute available in the simulation. Record its name, but pretend you do not

    know its molar mass.

    1. Enter masses for solvent and solute. Record exact values.

    2. Run the simulation. Record the freezing point of the solution.

    3. Use the cryoscopic equation to calculate the experimental molecular weight of the

    solute.

    4. Record all data in Data Table 2.

    [https://pcv-amrt.vlabs.ac.in/exp/cryoscopy/index.html](https://pcv-amrt.vlabs.ac.in/exp/cryoscopy/index.html)

    Data Tables

    Data Table 1: Known Solution (Part II)

    Measurement Value

    Solvent selected

    Solute selected

    Mass of solvent, W_A (g)

    Mass of solute, W_B (g)

    Freezing point of pure solvent (°C)

    Freezing point of solution from simulation (°C)

    Kf of solvent (°C·kg/mol)

    Van’t Hoff factor (i)

    Known molar mass of solute (g/mol)

    Data Table 2: Unknown Molecular Weight (Part III)

    Measurement Value

    Solvent selected

    Solute selected

    Mass of solvent, W_A (g)

    Mass of solute, W_B (g)

    Freezing point of pure solvent (°C)

    Freezing point of solution from simulation (°C)

    Observed ΔTf (°C)

    Kf of solvent (°C·kg/mol)

    Van’t Hoff factor (i)

    Data Analysis

    Complete the following calculations. Show all work with proper units.

    1. Using your Data Table 1, calculate the expected ΔTf using the cryoscopic equation: ΔTf
    = Kf × i × m. First calculate molality from the known molar mass of your solute and the

    mass of solvent. Compare your calculated ΔTf with the simulation’s result.

    2. Using your Data Table 2, calculate the molality (m) from the observed ΔTf and the

    known Kf of your solvent. Use: m = ΔTf / (Kf × i).

    3. From the molality calculated in #2, determine the moles of solute. Use: moles = m ×

    (mass of solvent in kg).

    4. Calculate the experimental molecular weight of the solute: MW = (mass of solute in g) /

    (moles of solute).

    5. Look up the accepted molecular weight of your Part III solute. Calculate the percent

    error: % error = |experimental − accepted| / accepted × 100%.

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  • [Solved] Interest Group

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    Need help deciding an interest group (AARP, AHIP, Coalition for Health Services Research, Emergency Nurses Association, Pharma) 1. **Select** an interest group (AARP, AHIP, Coalition for Health Services Research, Emergency Nurses Association, Pharma) 2. **Discuss** how they are pushing their agenda …

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    Need help deciding an interest group (AARP, AHIP, Coalition for Health Services Research, Emergency Nurses Association, Pharma)

    1. **Select** an interest group (AARP, AHIP, Coalition for Health Services Research, Emergency Nurses Association, Pharma)
    2. **Discuss** how they are pushing their agenda (i.e., mechanisms used to influence policy makers), key obstacles, and spending (consult the Center for Responsible Politics, www.opensecrets.org)
    3. **Investigate** the interest group’s website and review their position statements, testimony, and consult media reports to obtain more information on the group’s lobbying efforts.