Matrix Table and Summary

Matrix Table and Summary

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Northern Kentucky University

DNP 816 Analysis and Application of Health Data for APRN Practice

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DATE

 

DNP 618 Article Matrix and Analysis

Student Name: XXXXXXXXXXX

PICO Question: In adolescent patients seen in primary care setting (P) what is the effect of Ask Suicide Screening Question toolkit (I)compared to those not screened (C) on preventing self-harming behavior/suicide (O) in 3 months (T)

Search process: Database was searched utilizing Northern Kentucky University Library and the National Library of Medicine. The articles were peer reviewed and published within the last five years. The articles were narrowed down based on the criterial listed.

Search terms: Ask Suicide Screening Questions toolkit, suicide screening and prevention, suicide in patients, how to improve the mental health of patients or students

Databases: MEDLINE, CINHAL

Total number of articles obtained from search results: N = 1767

Number of articles initially excluded based on abstract reading: N= 30 (out of first 100 relevant)

Number of articles reviewed: N= 8

Number of articles excluded based on criteria: N= 1611

Inclusion criteria: must be in English, full text only, publishedin2017orlater, peer-reviewed articles, include adolescent, depression, and suicide as the subject, be discoverable in a reputable database

Exclusion Criteria: Article published prior to 2017, language other than English, no full text link, obtained from a non-reputable source.

Number of systematic reviews or meta-analyses used in Matrix- N = 1

 

 

 

 

 

Author, year; Credentials Article #1

 

 

 

 

Aguinaldo, L. D. (MD), Sullivant, S. (MD), Lanzillo, E. C. (MD), Ross, A. (MD), He, J. P. (MD), Bradley-Ewing, A., Bridge, J. A. (MD), Horowitz, L. M. (MD), & Wharff, E. A (MD) (2021)

Published in General Hospital Psychiatry

Article Focus/TitleValidation of the ask suicide-screening questions (ASQ) with youth in outpatient specialty and primary care clinics

 

Research Design/Intervention (describe intervention)Cross-sectional study: Nonintervention
Level of Evidence and model used to grade evidence‘Level IV: Johns Hopkins’.
Evaluation Tool (CASP or others- identify tool used)JBI Critical Appraisal Checklist for Analytical Cross-Sectional Studies, 8/8
Sample/# of subjects, how recruited, power analysis?Five hundred and fifteen young persons (10-21 years old) who were able to speak with clinic staff in English were surveyed. Overall, 918 patients were screened for inclusion in the study, and after determining that 827 of them were qualified, 525 were formally invited to take part and given the opportunity to do so with their informed consent. Seven patients who were fully engaged in the study after giving their consent attended their outpatient specialty or primary care session but did not complete the study interview for various reasons and were therefore excluded from the analysis. The Research Associate (RA) made a mistake while collecting data via research survey or RED Cap, and as a result, three participants were left out of the analysis. Additionally, the remaining 515 patients were considered..
Data Collection ProcedureAfter receiving written or verbal feedback from patients 18 or older and parents/guardians of those younger than 18, the Suicidal Ideation Questionnaire and Demographic/Clinical Variables Questionnaire were administered.
Instruments and

Reliability/validity

of instruments

Both the SIQ/SIQ Jr. and the ASQ were utilized; the SIQ/SIQ Jr. is a short version of the SIQ, which has been shown to have good reliability (SIQ: r = 0.97; SIQ-JR: r =0.94), validity, and predictive power when compared to the gold standard of the Suicidal Behavior Interview.
Data Analysis- id statistics, LOM, findingsMultivariate binary logistic regression modeling was used to examine associations between ASQ-detected suicide risks and demographic, clinical, and other characteristics . The coefficients of the multivariate logistic regression were exponentiated to calculate the adjusted odds ratios. The level of statistical significance was set at P = 0.05.
ResultsThe ASQ revealed that 45 people out of 335 had considered suicide. Only four people  tested positive on the ASQ. A positive ASQ screen was 11.4 times more likely to be observed in the suicide-at-risk population compared to the general population . When comparing the SIQ/SIQ Jr. to the 4-item ASQ screen, there was substantial agreement between the two measures.
Discussion/

Significance of findings

 

The ASQ appears to be a valid instrument for use in identifying patients at greater suicide risk in pediatric outpatient specialty or primary care clinics, and it compares favorably to the gold standard SIQ/SIQ Jr. This study’s findings provide further evidence that the ASQ has sufficient content validity, supporting the earlier conclusion. The ASQ was created as a primary screening tool to assist doctors in identifying which individuals require further diagnostic workup.
Reliability and Validity of study, limitationsLittle, if any, justification exists to question the veracity of the data presented. This is because the ASQ is being used in both general pediatric practices and those specializing in treating children with mental health issues. Associations with suicide risk as measured by the ASQ were investigated using multivariate binary logistic regression modeling. Both data preparation and analysis were carried out. Appropriate consent was obtained from the patient. The National Institute of Mental Health and the local research institutions both gave their stamp of approval to the study.

Our convenience sample may not be representative of young people in general who seek medical care in more typical outpatient settings, which is one of the study’s weaknesses. Participation in the trial may have affected patients’ responses to suicide risk screenings (i.e., before or after their clinic appointment in outpatient specialty care). Researchers speculate that persistent questioning about suicidal thoughts has worn people down.

Helpful/Reliable

Compared to other articles

The study’s findings were helpful since they confirmed that this screening tool is useful for identifying young people at risk for suicide in an outpatientprimary care context. The authors, however, should have broadened their focus to include metropolitan tertiary care centers..

 

 

 

 

 

 

 

 

 

 

 

 

 

Author, year; Credentials Article #2Farrer, L. M. (Registered Psychologist), Gulliver, A. (Research Fellow), Katruss, N. (Research Assistant), Bennett, K. (credential not identified), Bennett, A. (credential not identified), Ali, K. (PhD research student), & Griffiths, K. M. (Emeritus Professor) (2020).

Published in the British Journal of Guidance & Counselling

Article Focus/Title‘Development of the Uni Virtual Clinic: an online program for improving the mental health of university students’.
Research Design/Intervention (describe intervention)A participatory research method was used for this study. There was reduced burden on university resources thanks to the implementation of evidence-based online therapies for students who were typically underserved or socially isolated.
Level of Evidence and model used to grade evidence‘Level I: (Dearholt et al., 2017)’.
Evaluation Tool (CASP or others- identify tool used)The CASP for qualitative checklist 9/10
Sample/# of subjects, how recruited, power analysis?Four focus groups with undergrads (n = 5, 5, 4, 5) constituted the bulk of the qualitative methodologies used. Twenty persons participated in three sessions of prototype testing, a workshop for student leaders, and an assessment of the pilot UVC. In order to determine what kinds of resources various student groups at the university would benefit from, the project team held a number of in-person talks with representatives from those groups.
Data Collection ProcedureThe present evidence for technologies that promoted the mental health of college students was investigated through systematic reviews. Quantitative and qualitative research approaches were used to investigate the effectiveness of peer-to-peer support interventions, as well as to collect the views and opinions of key stakeholders. Quantitative approaches included a survey of university faculty and staff who were directly involved in student instruction and supervision, and a separate poll of the students themselves.
Instruments and

Reliability/validity

of instruments

Methods including surveys and in-person conversations or focus groups were employed. The researcher can receive a clear picture of the product’s reception, as well as the customers’ real thoughts, opinions, and impressions, thanks to the use of focus groups, which are considered credible. The dependability of surveys is demonstrated by their consistently reproducing comparable results.
Data Analysis- id statistics, LOM, findingsPercentages were used to record all of the information gathered. Positive attitudes about involvement were evident, with all 19 positive questions having average scores above 0, suggesting agreement.
ResultsAll 19 positive questions had average values over zero, suggesting agreement, and the majority of respondents (M = 0.96, SD = 0.24) agreed with the assertion that attitudes toward involvement were typically positive. All 13 of the negative categories were rated below 0, suggesting disagreement. Ratings above 0  , showed the strongest agreement.
Discussion/

Significance of findings

 

The needs of the UVC’s target demographic could not have been met without the use of participatory design methods during development. Universities can play an important role in creating mentally healthy environments to learn and live if UVC’s work to reduce the prevalence of mental health problems among at-risk children and the negative outcomes associated with them is successful.
Reliability and Validity of study, limitationsStudents’ input into the design process helped the team take into account students’ changing needs, the dynamic nature of academic institutions, and the dynamic nature of web design and development approaches to e-mental health care. There were drawbacks to the study, such as the fact that it would add significant time and effort to the content creation and website development processes if end users were included in the  development process. Since disagreements arose frequently concerning the nature and operation of UVC, it was challenging to reach a consensus on the final program.
Helpful/Reliable

Compared to other articles

Validating the promise of Uni Virtual Clinic  to help institutions of higher education better meet the psychiatric needs of their students. The study’s findings were straightforward and simple to comprehend.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Author, year; Credentials Article #3‘LeCloux, M. A., Weimer, M., Culp, S. L., Bjorkgren, K., Service, S., & Campo, J. V. (2020)’. The authors credentials are not identified. Published by Elsevier Inc.”
 

Article Focus/Title

The Feasibility and Impact of a Suicide Risk Screening Program in Rural Adult Primary Care: A Pilot Test of the Ask Suicide-Screening Questions Toolkit
Research Design/Intervention (describe intervention)Quasi experiment research design. Ask Suicide-Screening Questions was used to conduct a suicide screening with patients who presented for routine and sick visits; patients who tested positive for suicidal ideation were then subjected to additional screening using the same instrument.
Level of Evidence and model used to grade evidence‘Level III: Johns Hopkins’
Evaluation Tool (CASP or others- identify tool used)CASP for Qualitative checklist, score 9/10
Sample/# of subjects, how recruited, power analysis?The baseline sample included 274 patients. Patients consented electronically. A 2 phased design was used to collected date from patients who presented for routine or sick visit in a rural primary care clinic. Electronic medical records for patients 18 or older were collected, this data was logged and identified by the clinician into spread sheet.

 

 

Data Collection ProcedureAs part of an online survey, patients were asked to complete both the ASQ and a shorter, 5-item Screening Opinions Questionnaire.   The primary care physician  conducted a brief suicide risk assessment using the BSSA as a guide, and then provided disposition planning for patients who screened positive for suicide risk. The patient’s risk profile was then documented in their electronic medical record. In this study, the researcher accessed the EMR to collect data.
Instruments and

Reliability/validity

of instruments

Ask Suicide-Screening Questions (ASQ) questionnaires were utilized. In  young and adult inpatients,  it has shown both high sensitivity  and strong specificity.
Data Analysis- id statistics, LOM, findingsAll data was uploaded to SPSS 26 for analysis. Descriptive statistics were utilized to evaluate the aforementioned viability markers. Chi-square analysis followed by Fisher’s exact test was utilized to evaluate the two time periods’ client testing and suicide risk assessment procedure rates.
ResultsIntervention period reports of suicide risk screening were significantly higher than baseline period reports ( P 0.001). In addition, 6.2% of cases showed signs of suicidal ideation throughout the intervention phase, whereas only 0.7% did so during the baseline phase ( P 0.001).
Discussion/

Significance of findings

 

Preliminary results from this study indicate that the ASQ and BSSA can be helpful in identifying persons in rural areas who are at risk for suicide and are seeking primary care. Rural primary care settings are ideal for implementing suicide risk screening programs.
Reliability and Validity of study, limitationsBefore beginning the study, the  university obtained complete permission from its institutional oversight board for all study methods. The ASQ Toolkit has been found to increase the rate of risk identification in adults receiving primary care, while maintaining the validity and reliability of the research. Pilot in nature, with participants being of the same race seeing the same rural primary care doctor, the study had several inherent limitations. As this was a two-part study, there were additional variations between the study’s initial and final stages.
Helpful/Reliable

Compared to other articles

These results are comparable with those of earlier empirical research, which have shown that suicide risk screening is possible and acceptable to most patients.

 

 

 

 

 

 

Author, year; Credentials Article #4

 

 

 

 

 

 

 

Men, V. Y., Emery, C. R., & Yip, P. S. F. (2021). Credentials are not listed. All the authors have affiliation with Department of Social Work and Social Administration, The University of Hong Kong.

Published in Psycho‐ Oncology Journal

 

Article Focus/Title‘Characteristics of cancer patients who died by suicide’.

 

Research Design/Intervention (describe intervention)Cross-sectional study: No intervention
Level of Evidence and model used to grade evidence‘Level IV: Johns Hopkins’
Evaluation Tool (CASP or others- identify tool used)‘JBI Critical Appraisal Checklist for Analytical Cross-Sectional Studies, 8/8’.
Sample/# of subjects, how recruited, power analysis?Researchers were able to determine that 14,446 people committed suicide in the years 2003 to 2017 by analyzing data from previous records. The cases were divided into cancer and non-cancer categories based on the provided medical records. Of the 14,446 people who took their own lives, 1,461 (10%) had been diagnosed with cancer before.
Data Collection ProcedureInformation from archives was used,  the Coroner’s Court reports. The cases were divided into cancer and non-cancer categories based on the provided medical records. Details about the victim’s socioeconomic status and the circumstances surrounding the suicide were among the information gleaned from the reports.
Instruments and

Reliability/validity

of instruments

A report from the coroner’s court was used to compile the information. The study variables of interest were compared between the cancer and non-cancer groups using independent t-tests or chi-square testing.
Data Analysis- id statistics, LOM, findingsUnivariate analyses, as well as general and subgroup multiple logistic regressions, were used to compare characteristics of the two cohorts. The level of significance was set at 0.05.
ResultsThe results showed that retired people and those in committed relationships had a far higher chance of being diagnosed with cancer than those who were not. Most people (54.3%) who took their own lives after being diagnosed with cancer did so by leaping from a great height. On the other side,  27.6% of those who committed suicide did so by hanging themselves,  6.6% of them chose toxic methods.
Discussion/

Significance of findings

 

We discovered that cancer-related suicides in Hong Kong are distinct from those induced by other conditions, and these distinctions widen as the patient ages. The senior cancer patient is more likely to commit suicide, more likely to seek help for suicidal thoughts, and less likely to have cognitive and emotional issues. Cancer patients’ quality of life could be greatly enhanced if more attention were paid to determining what factors contributed to their decisions to take their own lives.
Reliability and Validity of study, limitationsThe dataset has excellent validity because of the little potential for misclassification. Those with cancer were compared to those without the disease in order to draw conclusions about their personalities and motivations for taking their own lives.  Suicide was then broken down into its component acts, such as hanging, cutting, driving into a wall, setting fire to oneself, suffocating oneself, and taking other nonviolent means.

Study limitations include the lack of thorough information on the medical history of the cancer patients and the absence of information in the Coroner’s Court reports due to reasons such as the incapacity of family members to submit them. Details on the patients’ cancers, including their types, stages, and diagnosis dates. This study has some limitations, including the authors’ inability to conduct additional analyses exploring suicide decision pathways or the temporal and causal correlations between various risk variables for suicide.

Helpful/Reliable

Compared to other articles

An improvement over previous methods in terms of practicality, accuracy, and dependability, with results that can be trusted even when subjected to statistical analysis, shows the study’s reliability. To my knowledge, this is the first article to directly compare cancer suicide rates to those of other prevalent diseases in the Asian community.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Author, year; Credentials Article #5Lindstrom, A. C. (DNP, APRN), & Earle, M. (DNP, RN) (2021).

Published in the Journal of Doctoral Nursing Practice

Article Focus/Title‘Improving Suicidal Ideation Screening and Suicide Prevention Strategies on Adult nonbehavioral Health Units’.
Research Design/Intervention (describe intervention)Randomized control trial.

Targeted intervention that includes nursing education, easier electronic medical record (EMR) workflow for documentation of suicide screening, was needed to improve identification and provide safety of patients at risk for suicidal.

Level of Evidence and model used to grade evidence“Level I: ( Dearholt et al., 2017)’
Evaluation Tool (CASP or others- identify tool used)CASP for qualitative checklist score 8/10
Sample/# of subjects, how recruited, power analysis?In total, 6,229 adults were admitted to the hospital for treatment of non-behavioral health issues. A total of 6,210 people were screened for suicidal ideation. Patients  were chosen at random..
Data Collection ProcedureAn examination of the literature on the early deployment of suicide screening and the results of focus groups with key stakeholders, such as bedside nurses, guided the development of interventions.
Instruments and

Reliability/validity

of instruments

The electronic medical record was modified by adding an additional answer to the suicide screening question and mandating its documentation following focus group discussions, the development of nursing protocols, data on compliance monitoring, nursing education, pre- and post-nursing assessments, and other interventions. The project was greenlit by the IRB, the issue was identified and quantified, potential solutions were evaluated and executed, and a control plan was created to assure the initiative’s long-term viability.
Data Analysis- id statistics, LOM, findingsPatient records were audited to ensure accurate order entry and screening procedures. The audit found that within 24 hours of admission, 76.2% of patients had gotten assistance from a clinician and 82.5% of patients had taken safety actions that were documented.
ResultsWith 91.5% of all registered nurses having completed the program, and with 89.2% of the pretest questions properly answered, it is evident that the trainees entered the program with a solid grounding in the subject matter. Between the two tests, there was a 2.9% improvement in accuracy, with 92.1% accurate answers on the second test. 20.6% more people were screened.
Discussion/

Significance of findings

 

The nurses’ training was extensive, covering everything from patient intake through discharge. In order to improve universal suicide ideation screening and thereby boost patient safety, nurses need access to clear policies, standardized protocols, and education..
Reliability and Validity of study, limitationsThe researchers in this study identified several elements at the medical center where the research was done that contributed to a culture of compliance. Results cannot be generalized to other areas because this study was conducted in only one. What’s more, the study began two months before the hospital encountered the COVID-19 outbreak.
Helpful/Reliable

Compared to other articles

In addition to being a legitimate study, the study’s usefulness stems from the fact that no literature was located on how to enhance screening compliance once a method had been devised.

 

 

 

 

 

 

 

 

 

Summary

Suicide is a significant health problem in the world. The percentage of teenagers experiencing major depressive disorder (MDD) symptoms has nearly doubled, from 8.3% in 2008 to 14.4% in 2018 (Sekharet al., 2021). Thus, screening for suicide risk and suicidal behavior is an essential first step toward preventing suicide in young people. High-risk groups in optimal settings are the focus of effective screening programs. This research focuses on screening for suicide risk in medical settings because of its importance. Although there are a number of tools used to assess whether or not a patient is at risk for suicide ideation or behavior, the Ask Suicide-Screening Questions (ASQ) kit was developed with this particular context in mind.

The articles reviewed in this matrix include two level IV evidence, two-level I evidence, and one level III evidence articles.The two cross sectional studies were valid according to the JBI checklist for cross sectional studies. The quasi and randomized control trials were valid according to CASP checklist. Questionnaires were used in three of the articles and past records were used in two of the articles. Four of the results of the study were reliable. One study was done in before months before Covid 19 and All articles utilized showed suicidal screening is feasible and helps improve patient safety, and more importantly several articles showed utilization of the Ask Suicide-Screening Questions Toolkit has potential to improve suicide risk assessment (LeCloux et al., 2020).

The articles have improved my knowledge on my chosen topic. There is no change been considered at this time. I was able to find sufficient literature, government information, and education on the screening tool I have chosen. However, future studies measuring the impact of suicide risk screening with youth in outpatient specialty and primary care clinics on outcomes such as linkage with mental health services and future suicidal behavior are warranted (Aguinaldo et al., 2021). Gaps in screening of patients with suicidal thoughts exist because of lack of education, clear policies, and protocols for screening in these settings.

 

 

 

 

 

 

 

 

 

 

 

References

Aguinaldo, L. D., Sullivant, S., Lanzillo, E. C., Ross, A., He, J. P., Bradley-Ewing, A., Bridge, J. A., Horowitz, L. M., & Wharff, E. A. (2021). Validation of the ask suicide-screening questions (ASQ) with youth in outpatient specialty and primary care clinics. General hospital psychiatry68, 52–58. https://doi.org/10.1016/j.genhosppsych.2020.11.006

https://doi.org/10.1016/j.genhosppsych.2020.11.00

Dearholt, S., Dang, D., & Sigma Theta Tau International. (2012). Johns Hopkins nursing evidence-based practice: Models and

guidelines.  https://libguides.ohsu.edu/ld.php?content_id=16277844

Farrer, L. M., Gulliver, A., Katruss, N., Fassnacht, D. B., Kyrios, M., & Batterham, P. J. (2019). A novel multi-component online intervention to improve the mental health of university students: Randomized controlled trial of the Uni Virtual Clinic. Internet interventions18, 100276. https://doi.org/10.1016/j.invent.2019.100276

LeCloux, M. A., Weimer, M., Culp, S. L., Bjorkgren, K., Service, S., & Campo, J. V. (2020). The Feasibility and Impact of a Suicide Risk Screening Program in Rural Adult Primary Care: A Pilot Test of the Ask Suicide-Screening Questions Toolkit. Psychosomatics61(6), 698–706. https://doi.org/10.1016/j.psym.2020.05.002

Lindstrom, A. C., & Earle, M. (2021). Improving Suicidal Ideation Screening and Suicide Prevention Strategies on Adult Nonbehavioral Health Units. Journal of doctoral nursing practice, JDNP-D-20-00049. https://doi.org/10.1891/JDNP-D-20-00049

 

Men, V. Y., Emery, C. R., & Yip, P. S. F. (2021). Characteristics of cancer patients who died by suicide: A quantitative study of 15-year coronial records. Psycho-oncology30(7), 1051–1058. https://doi.org/10.1002/pon.5634

Sekhar, D. L., Schaefer, E. W., Waxmonsky, J. G., Walker-Harding, L. R., Pattison, K. L., Molinari, A., Rosen, P., & Kraschnewski, J. L. (2021). Screening in High Schools to Identify, Evaluate, and Lower Depression Among Adolescents: A Randomized Clinical Trial. JAMA network open4(11), e2131836. https://doi.org/10.1001/jamanetworkopen.2021.31836

Fall 10.2020

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