Please see Assignment Description & Instruction Details in the Attachments
DNP-820A: Translational Research and Evidence-Based Practice
Literature Synthesis for Proposed Intervention
Assessment Description
The purpose of this assignment is for learners to synthesize the literature from the “Literature Evaluation Table – DPI Intervention” into a written paper.
The literature synthesis from this assignment will be used as support for your DPI Project. Be prepared to review and incorporate instructor feedback from this assignment.
General Requirements
· Refer to the “Literature Evaluation Table – DPI Intervention” completed in Topic 4 to complete this assignment.
· Doctoral learners are required to use APA style for their writing assignments.
· You are required to submit this assignment to LopesWrite to check for similarity score.
Directions
Refer to the 15 research articles from your “Literature Evaluation Table – DPI Intervention” in Topic 4 to complete this assignment. Be sure to make any required changes or revisions prior to completing this assignment.
Write a 2,000-2,500-word syntheses of articles. Do not copy/paste the abstract. A synthesis is an integrative summary, in your own words, of the articles, their findings and a justification for how they support your intervention.
Include the following:
1. Introduction – Describe the clinical issue or problem you are addressing. Present your problem statement.
2. Search methods – Describe search strategy and the criteria you used to find and select the articles that support your intervention (e.g., data bases, limitations of the search, full text, peer-reviewed, English language).
3. Synthesis of the literature – For each research article, write a paragraph discussing the main components (subjects, methods, key findings) and provide rationale for how the article supports your intervention.
4. Comparison of articles – Compare the articles (similarities and differences, common themes, methods, conclusions, limitations, controversies).
5. Recommendations for future research: Based on your analysis of the literature, discuss identified gaps and which areas require further research. Describe how the gaps would impact your intervention and what specific research would be needed in this context.
6. Conclusion – Provide a summary statement of what you found in the literature.
Literature Evaluation Table – DPI Intervention
Learner Name:
PICOT-D Question: In the adolescent population with Depression problems in the High School settings, how does PHQ-9 tool impact in-patient referrals to the School Mental Health Department for over 9 weeks?
Table 1: Primary Quantitative Research – Intervention (5 Articles)
|
(Include the GCU permalink or working link used to access the article.) |
Research Questions/ Hypothesis and Purpose/Aim of Study |
Type of Primary Research Design |
Research Methodology · Setting/Sample (Type, country, number of participants in study) · Methods (instruments used; state if instruments can be used in the DPI project) · How was the data collected? |
Interpretation of Data (State p-value: acceptable range is p= 0.000 – p= 0.05) |
Outcomes/ Key Findings (Succinctly states all study results applicable to the DPI Project.) |
Limitations of Study and Biases |
Recommendations for Future Research |
Explanation of How the Article Supports Your Proposed Intervention |
|
Brown, M. R. G., Agyapong, V., Greenshaw, A. J., Cribben, I., Brett-MacLean, P., Drolet, J., McDonald-Harker, C., Omeje, J., Mankowsi, M., Noble, S., Kitching, D., & Silverstone, P. H. (2019). After the fort McMurray wildfire, there are significant increases in mental health symptoms in grade 7-12 students compared to controls. BMC Psychiatry, 19(1), 18. https://doi.org/10.1186/s12888-018-2007-1 |
Research Question: What is the impact of wildfire natural disaster in the adolescent mental health? Purpose: The aim of the study is to examine the impact of disasters on adolescents’ mental health |
Comparative experimental design |
Alberta, Canada 5866 participants The quantitative method and comparative experimental design are tools relevant for DPI project. Survey method used in data collection. |
P=0.05 |
The outcome confirms that adolescents are really affected by disasters and issues surrounding them. |
Biases that is there is that the research was only limited to 7-12 years students. |
Research is needed for other adolescent ages. |
The article supports challenges that adolescents undergo leading to depression and developing suicidal thoughts. |
|
Cartman, G. (2019). The impact of primary care on first mental health contact for children and adolescents: A population-based cross-sectional cohort study in Québec, Canada Available from ProQuest Dissertations & Theses Global: The Humanities and Social Sciences Collection https://search.proquest.com/docview/2519942782 |
Research Question: What is the impact of Primary Care on First Mental Health Contact for Children and Adolescents? Aim: “To examine the association between primary care models and ED utilization in children and adolescents, both as the point of first MH contact and for visits subsequent to the first contact”. |
Cross-sectional cohort design. |
Québec, Canada 39,368 participants Database of registered persons. Review of Administrative health records using ICD-9 diagnostic model. |
P=0.05 |
Mental health related illness is subjected to a follow-up for 30 days. |
The involvement of participants were not done randomly increasing biasness and limiting the acceptability of the results universally. |
The article showcases the use of ICD-9 diagnostic model that relates much with the PHQ-9 tool. |
|
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Bjertnaes, A., Fossum, I., Oma, I., Bakken, K., Arne, T., & Holten-Andersen, M. (2020). A Cross-Sectional Study of the Relationship Between Mental Health Problems and Overweight and Obesity in Adolescents. Frontiers In Public Health, 8. https://doi.org/10.3389/fpubh.2020.00334 |
Research question: What is the relationship between mental health problems and overweight and obesity in adolescents? |
Cross-sectional cohort design. |
Norway. 1396 participants (adolescents). Strengths and Difficulties Questionnaire (SDQ). Cross-sectional surveys. |
P<0.05 |
The study outcome has indicated that overweight and obesity has a contribution to mental health. |
The current study has certain drawbacks. To begin, all of our information was provided voluntarily by participants in the study. The self-reported questionnaire raises the risk of type 2 errors because of the likelihood of random errors. Even so, we believe that the self-reported SDQ may have reduced the number of refusals, as the results are equivalent to those obtained through parent report (24). |
A better survey should be conducted avoiding the self-report. |
The article highlights the potential sources of problems adolescents experience leading to mental health. |
|
Al-Zawaadi, A., Hesso, I., & Kayyali, R. (2021). Mental Health Among School-Going Adolescents in Greater London: A Cross-Sectional Study. Frontiers In Psychiatry, 12. https://doi.org/10.3389/fpsyt.2021.592624 |
Research question: What are the various mental health issues and factors that are associated with negative feelings among the adolescents in London? Aim: To describe mental health factors responsible for negative feelings among the adolescents. |
Cross-sectional design. |
London, U.K. 199 Participants. Cross-Sectional Survey. |
P=0.05 |
It has raised that negative feelings are associated with mental health among the adolescents, and this has an impact in the study. |
When it came to assessing mental health difficulties, the researchers used a non-validated proxy measure instead of a validated method. |
There should be a consideration to use probability sampling that assists in minimizing bias in the study. |
The study is of value to my proposed study in highlighting other contributing factors that lead to mental health among the adolescents. |
|
Watson, R., Grossman, A., & Russell, S. (2019). Sources of Social Support and Mental Health Among LGB Youth. Youth &Amp; Society, 51(1), 30-48. https://doi.org/10.1177/0044118×16660110 |
How are sources of social support linked to psychosocial outcomes of youths? The aim of the study was to assess how social support might be differently linked with depression and self-esteem. |
Descriptive design. |
Urban, United States, 835 youths Surveys surveys |
P=0.30 |
Social support and its value were significantly linked to improved self-esteem and decreased depression for all adolescents, excluding lesbians. |
The data set was based solely on the responses of youths. |
A focus on “outness” and its relationship to social support should be explored in future research. |
The article advances my understanding of the role that social support plays in the psychological well-being of transgender children and adolescents. |
Table 2: Additional Primary and Secondary Quantitative Research (10 Articles)
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(Include the GCU permalink or working link used to access the article.) |
Research Questions/ Hypothesis, and Purpose/Aim of Study |
Type of Primary or Secondary Research Design |
Research Methodology · Setting/Sample (Type, country, number of participants in study) · Methods (instruments used; state if instruments can be used in the DPI project) · How was the data collected? |
Interpretation of Data (State p-value: acceptable range is p= 0.000 – p= 0.05) |
Outcomes/ Key Findings (Succinctly states all study results applicable to the DPI Project.) |
Limitations of Study and Biases |
Recommendations for Future Research |
Explanation of How the Article Supports Your Proposed DPI Project |
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Silva, S. A., Silva, S. U., Ronca, D. B., Gonçalves, V. S. S., Dutra, E. S., & Carvalho, K. M. B. (2020). Common mental disorders prevalence in adolescents: A systematic review and meta-analyses. PloS One, 15(4), e0232007. https://doi.org/10.1371/journal.pone.0232007 |
Research question: What is the prevalence of Common Mental Disorders (CMD) in adolescents, from the General Health Questionnaire (GHQ-12)? Aim: “The aim of the study is to estimate the prevalence of CMD in adolescents, from the General Health Questionnaire (GHQ-12).” |
Meta-analysis |
Urban area, Brazil. 79 892 adolescents aged 12 to 19 years. General Health Questionnaire (GHQ-12). Systematic review. |
P= 0.005 |
Mental health is an important component among the adolescents. |
The studies considered were conducted in different years and cannot define exactly the challenges that are there today. |
Primary research should be included with the secondary research for a more reliable data. |
The article approves that mental health is a challenge among the adolescents and using questionnaires during the study improve the outcome. |
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Cavioni, V., Grazzani, I., Ornaghi, V., Agliati, A., & Pepe, A. (2021). Adolescents’ Mental Health at School: The Mediating Role of Life Satisfaction. Frontiers In Psychology, 12. https://doi.org/10.3389/fpsyg.2021.720628 |
Research question: What role does life satisfaction has on the mental health of adolescents in schools? Aim: To determine the impact that life satisfaction among the adolescents contribute to mental health. |
Meta-analysis. |
Rural area, Canada. 3895 participants. Self-report instrument. Systematic review. |
P=0.05 |
Life satisfaction from the adolescent homes has an influence on their mental health. |
The self-report instrument is a main source of errors. |
Avoiding self-report approach to solve the errors. |
It highlights the aspect of satisfaction as a contributing element to mental health among the adolescents that is part of the PICOT question. |
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García-Carrión, R., Villarejo-Carballido, B., & Villardón-Gallego, L. (2019). Children and Adolescents Mental Health: A Systematic Review of Interaction-Based Interventions in Schools and Communities. Frontiers In Psychology, 10. https://doi.org/10.3389/fpsyg.2019.00918 |
Research question: How interaction-based intervention help in addressing mental health among adolescents? Aim: To determine the contribution of interaction-based intervention in handling mental health among adolescents. |
Systematic review |
Spain. 301 articles. Review of quantitative sources. Systematic review. |
P=0.05 |
Mental health is a critical challenge among the adolescents. |
Review of quantitative sources has limited data that qualitative would have provided. |
A mixed study should be considered. |
It contributes significantly to the PICOT Question especially on how mental health should be addressed. |
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Anjum, A., Hossain, S., Hasan, M., Alin, S., Uddin, M., & Sikder, M. (2021). Depressive Symptom and Associated Factors Among School Adolescents of Urban, Semi-Urban and Rural Areas in Bangladesh: A Scenario Prior to COVID-19. Frontiers In Psychiatry, 12. https://doi.org/10.3389/fpsyt.2021.708909 |
Research question: What is the prevalence of depressive symptoms associated with adolescents in Bangladesh? Aim: To determine the prevalence of depressive symptoms in the adolescents living in Bangladesh. |
Cross-sectional cohort design. |
Bangladesh. Urban, semi-urban and rural areas. 2,355 adolescents’ participants. Cross-sectional study. A self-administered questionnaire. |
p=0.05 |
During the period of Covid-19, school-going adolescents developed depressive symptoms that is detrimental to their academics. |
A self-administered questionnaire has a detrimental impact in the research where it increases errors. |
More focus should be directed to face-to-face survey that assist in reducing errors. |
It aligns with the PICOT question through addressing mental health among adolescents. |
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Litteken, C., & Sale, E. (2017). Long-term effectiveness of the question, persuade, refer (QPR) suicide prevention gatekeeper training program: Lessons from Missouri. Community Mental Health Journal, 54(3), 282-292. https://doi.org/10.1007/s10597-017-0158-z |
Research question: What is the effectiveness of question, persuade, and refer (QPR) suicide prevention among the adolescents? Aim: To evaluate the effectiveness of training in handling mental health. |
Cross-sectional cohort design. |
Missouri. Urban location. 8351 participants. Cross-sectional study. QPR. |
P=0.05 |
The research shows that training is significant in handling mental illness. |
Self-reporting increases source of errors. |
Research should be improved to address the errors caused by self-reporting. |
Training is significant in addressing the needs of the adolescent population to counter mental illness. |
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Hangartner, R., Totura, C., Labouliere, C., Gryglewicz, K., & Karver, M. (2018). Benchmarking the “Question, Persuade, Refer” Program Against Evaluations of Established Suicide Prevention Gatekeeper Trainings. Suicide And Life-Threatening Behavior, 49(2), 353-370. https://doi.org/10.1111/sltb.12430 |
Research question: What does the benchmarks on the effectiveness of question, persuade, and refer (QPR) in addressing mental health among the youth? Aim: To evaluate the effectiveness of question, persuade, and refer (QPR) using benchmarks to understand. |
Cross-sectional study. |
United States. Urban and rural locations. 2389 participants. Cross-sectional study. QPR. |
P=0.05 |
The research shows that training is significant in handling mental illness. |
Self-reporting increases source of errors. |
Research should be improved to address the errors caused by self-reporting. |
Training is significant in addressing the needs of the adolescent population to counter mental illness. |
|
Orengo-Aguayo, R., Stewart, R., de Arellano, M., Suárez-Kindy, J., & Young, J. (2019). Disaster Exposure and Mental Health Among Puerto Rican Youths After Hurricane Maria. JAMA Network Open, 2(4), e192619. https://doi.org/10.1001/jamanetworkopen.2019.2619 |
“What was the magnitude of disaster exposure and mental health outcomes on Puerto Rican youths after Hurricane Maria?” The aim of the study was to assess the impact of Hurricane Maria on the psychological wellbeing of Puerto Rican adolescents. |
Descriptive study design |
Urban, Puerto Rico, 96 108 students surveys surveys |
P<0.001 |
Hurricane Maria subjected Puerto Rican adolescents to significant disaster-associated stressors, and many suffered PTSD and depression. |
The unavailability of pre-disaster information on the participants made it difficult to determine the hurricane’s exact and/or customized impact. |
Mental health surveys should be completed annually by all students at the beginning of each school year, to enhance accurate research results. |
This research advances my understanding of the severity of natural catastrophes and the signs of mental illness among youths. |
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Xie, X., Xue, Q., Zhou, Y., Zhu, K., Liu, Q., Zhang, J., & Song, R. (2020). Mental Health Status Among Children in Home Confinement During the Coronavirus Disease 2019 Outbreak in Hubei Province, China. JAMA Pediatrics, 174(9), 898. https://doi.org/10.1001/jamapediatrics.2020.1619 |
What are the psychological effects of COVID-19 on the youths? The purpose of this research was to examine depression and anxiety symptoms amongst learners in Hubei, China during the coronavirus pandemic. |
Descriptive research design |
Urban, China, 2330 participants Children’s Depression Inventory–Short Form (CDI-S) Questionnaires |
P<0.05 |
Results indicate that youth’s mental wellness may be affected by serious infectious illnesses in the same way that other traumatic events are. |
The current investigation was unable to determine how long these effects will remain beyond the COVID-19 pandemic. |
A knowledge of the coronavirus pandemic impacts on youths’ psychological health can assist in guiding future research efforts. |
This study provides the psychological effects of COVID-19 lockdown which supports my project. |
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Mohler-Kuo, M., Dzemaili, S., Foster, S., Werlen, L., & Walitza, S. (2021). Stress and Mental Health among Children/Adolescents, Their Parents, and Young Adults during the First COVID-19 Lockdown in Switzerland. International Journal Of Environmental Research And Public Health, 18(9), 4668. https://doi.org/10.3390/ijerph18094668 |
What are the psychological effects of coronavirus pandemic on the youths? The purpose of this research was to determine how the first COVID-19 lockdown affected the psychological well-being of Swiss youths. |
Qualitative study design |
Urban, Switzerland, 2273 participants Patient Health Questionnaire (PHQ) Questionnaire |
p = 0.41 |
Findings reveal that the first coronavirus pandemic lockdown resulted in significant tension among youths and signs of mental health concerns, particularly among women. |
The findings are only limited to the first pandemic wave’s impacts, the second wave is ignored. |
There should be more research done to see how the second lockdown affects people. |
This study uses a similar data collection tool (Patient Health Questionnaire) as my PICOT question. The insights from this study on the effects of coronavirus pandemic on the psychological wellness of youths will be crucial to my PICOT question. |
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Dehnel, R., Dalky, H., Sudarsan, S., & Al-Delaimy, W. (2021). Resilience and Mental Health Among Syrian Refugee Children in Jordan. Journal Of Immigrant And Minority Health, 24(2), 420-429. https://doi.org/10.1007/s10903-021-01180-0 |
What is the relationship between resilience and mental health? The study aimed to evaluate resiliency, depression, and trauma experiences among the youths. |
Descriptive research design |
Urban, Jordan, 339 participants Children’s Depression Inventory 2 (CDI-2) |
p = 0.02 |
Findings reveal that support from close friends and family was the most powerful protective resilience element and the most highly connected with lower levels of depression symptoms. |
The research relied on youth’s recollection of trauma and depression symptoms, and these subjective responses may have underestimated the underlying outcomes revealed. |
Future studies on the relationship between resiliency and mental health should seek the insights of pediatric psychiatrists so as to ensure results that are not subjective |
The study provides crucial information on the relationship between resiliency and mental wellness which supports my project. |
Table 3: Theoretical Framework Aligning to DPI Project
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Nursing Theory Selected |
APA Reference – Seminal Research References (Include the GCU permalink or working link used to access each article.) |
Explanation for the Nursing Theory Guides the Practice Aspect of the DPI Project |
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Interpersonal theory |
Patterson, S. (2016). Suicide risk screening tools and the youth population. Journal of Child and Adolescent Psychiatric Nursing, 29(3), 118-126. https://doi.org/10.1111/jcap.12148 |
Suicidal conduct can be explained by Joiner’s interpersonal-psychological theory. Stressed out by trying to provide for one’s family or keep up with the responsibilities of one’s job, one’s health may suffer. Patterson says that people’s perceptions of their loads might be either real or fake (2016). Ultimately, it comes down to the individual’s sense of society’s expectations and responsibilities. Overwhelmed people are at risk of sinking into hopelessness, which can be life-threatening. |
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Change Theory Selected |
APA Reference – Seminal Research References (Include the GCU permalink or working link used to access each article.) |
Explanation for How the Change Theory Outlines the Strategies for Implementing the Proposed Intervention |
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PDSA model |
Torcasso, G., & Hilt, L. M. (2016). Suicide prevention among high school students: Evaluation of a nonrandomized trial of a multi-stage suicide screening program. Child & Youth Care Forum, 46(1), 35-49. https://doi.org/10.1007/s10566-016-9366-x |
It’s possible to bring about change in healthcare organizations in several ways. The DAP project’s activities, such as community/adolescent education, community presentations to improve awareness of depression and teaching positive coping strategies, will be implemented using the PDSA model’s four steps of plan, do, study, and act. |
Table 4: Clinical Practice Guidelines (If applicable to your project/practice)
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APA Reference – Clinical Guideline (Include the GCU permalink or working link used to access the article.) |
APA Reference – Original Research (All) (Include the GCU permalink or working link used to access the article.) |
Explanation for How Clinical Practice Guidelines Align to DPI Project |
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N/A |
Place the primary quantitative research used in the clinical practice guidelines in Table 1. This is part of the primary quantitative research used to support your intervention. |
N/A |
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