DNP-801A-Module6IP-LiteratureEvaluationTable.

Literature Evaluation Table

Learner Name: Marian Alli

Instructions: Use this table to evaluate and record the supporting primary quantitative research articles as indicated in the assignment instructions. The selected research articles must be published within 5 years of your anticipated graduation date. You will use this table for subsequent assignments in this course, so be sure to incorporate instructor feedback and revise or replace articles accordingly. Add or delete rows as needed.

Proposed PICOT-D Question: “Does Psychological counseling help reduce the impact of COVID-19 on healthcare workers as compared to increased reimbursement over a period of 2months?”

Table 1: Primary Quantitative Research – Supports Element of PICOT-D Question

APA Reference

(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 were 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 PICOT-D Question (P.C.O.T or D)

Gupta, S., Kumar, M., Rozatkar, A. R., Basera, D., Purwar, S., Gautam, D., & Jahan, R. (2021). Feasibility and effectiveness of telecounseling on the psychological problems of frontline healthcare workers amidst COVID-19: A randomized controlled trial from Central India. Indian journal of psychological medicine, 43(4), 343-350. retrieved from: Feasibility and Effectiveness of Telecounseling on the Psychological Problems of Frontline Healthcare Workers Amidst COVID-19: A Randomized Controlled Trial from Central India (sagepub.com)

During the Covid 19 pandemic, could telecounseling be a successful model of psychological intervention for frontline healthcare personnel with psychological issues?

This study followed a single blind, active arm versus general education; Parallel group randomized control design.

As the telecounseling services were aimed at HCWs who were actively involved in patient care, inclusion criteria included HCWs (doctors and nursing staff, but not other fHCWs as indicated above).

This study was conducted as part of a broader one (an online survey) to determine the extent and causes of psychological issues among HCW. It was conducted between April 2020 and June 2020, while the epidemic was still evolving and there was a lack of knowledge and resources to deal with it.

The participants were educated about their current level of mental illness and invited them to participate in the research. General guidance, COVID-19-related data, counseling, and various behavioral activities are being evaluated as psychological interventions to alleviate their psychological difficulties.

This study found no baseline differences between the two groups (telecounseling group, n = 9; general education group, n = 10). On the DASS-21 intention-to-treat analysis, a significant time-effect was detected (P = 0.044 to.001).

The study found that telecounseling could be a realistic and scalable model of psychological therapies for the fHCW with psychological issues, despite certain feasibility constraints.

A total of 59 people were contacted about taking part in the study.

Potential volunteers (n = 16, 27.1 percent) opted out of the study, which was a disappointment.

To close the gap in mental health care, more research is needed, especially including diverse groups and different technology.

This article directly supports my picot question by illustrating how telecounseling services can help in helping reduce COVID 19 impacts among the front-line workers,

Hennein, R., Mew, E. J., & Lowe, S. R. (2021). Socio-ecological predictors of mental health outcomes among healthcare workers during the COVID-19 pandemic in the United States. PloS one, 16(2), e0246602: Retrieved from: Socio-ecological predictors of mental health outcomes among healthcare workers during the COVID-19 pandemic in the United States (plos.org)

The goal of this study was to help healthcare personnel in the event of a future illness outbreak.

a cross-sectional study of healthcare workers was undertaken online by the researchers

HCWs linked with 25 US medical centers were asked to complete an online survey by the researchers, who did so from May 1 to May 31, 2020. A geographic mapping tool for COVID-19 transmission data was used to choose hospitals in states with high rates of transmission. The Yale Institutional Review Board gave its blessing to the research, and all participants signed a consent form to be a part of it. Cross-sectional studies in this publication were reported in accordance with the STROBE reporting guideline, which was used to strengthen the reporting of such studies. A majority of the 1,092 participants were female, 51.9 percent were frontline workers, and the average age was 40.4.

Important mental health outcomes with excellent psychometric qualities were included in the study. PHQ-9 is used to evaluate the signs and symptoms of medical disease.

There were 13.9 percent, 15.6%, 22.88%, and 42.88% of those surveyed who had likely MD, GAD, PTSD, and AUD; The need for additional social support was found to be related with significantly higher probabilities of likely MD, GAD, PTSD, and AUD in the multivariable adjusted models.

The study found that Mental health disorders are common among front-line health care workers, and hence therapies like social support, active listening, psychological counseling, sleep hygiene, and mindfulness techniques are necessary.

In particular, the study’s prevalence estimates may not be generalizable given the convenience sample’s small size and lack of representativeness.

Resilience-building psychological and social support resources may be available to US healthcare workers, according to the findings of this study. Findings from this study will aid in developing ways to better care for those on the frontlines of any future pandemic outbreaks.

Health care professionals’ psychological well-being can be improved by targeted interventions based on these findings during disease epidemics.

Table 2: Primary Quantitative Research – Supports Intervention Directly

APA Reference

(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 were 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 the Intervention for Your Proposed PICOT-D Question

Gupta, S., & Sahoo, S. (2020). Pandemic and mental health of the front-line healthcare workers: a review and implications in the Indian context amidst COVID-19. General Psychiatry, 33(5). retrieved from: Pandemic and mental health of the front-line healthcare workers: a review and implications in the Indian context amidst COVID-19 (nih.gov)

This study aimed at finding out whether Making mental health resource materials available; providing training in stress management arranging for confidential telephonic calls/online counselling or consultation with a mental health expert; and arranging for a visit to a mental health expert could help front-line HCWs deal with mental health issues amid Covid 19.

literature was searched in the Medline, PubMed, and Google Scholar databases

Nurses were the most prevalent study participants, followed by doctors. Up till April 7, 2020, a total of 127 articles were gathered. Only 37 publications were identified to be eligible for consideration in the study. The majority of the studies were about SARS. The bulk of them were cross-sectional (24), with the majority of them using questionnaire surveys (including internet surveys) (20) and a few using interviews. The study’s sample size varied depending on the study’s design and context. For example, online survey-based research had a large sample size (ranging from 333 to 1557 participants), but hospital-based surveys had a sample size ranging from 148 to 333 participants.

According to the literature, a considerable proportion of HCWs suffer from mental health difficulties, including diagnosable mental health disorders, during pandemics. Emotional distress is likely in 29% of the population, and in 45% of nurses.

The study discovered that applying lessons learned from earlier pandemics and other nations that have effectively combated COVID-19 and acting on them could significantly reduce the psychological impact of COVID-19 among HCWs.

Using online survey is associated with some such as self-selection bias; this risk was mitigated by employing an exceptionally large sample from a local location.

More research is needed, particularly from low and middle-income countries like India, to devise treatments that are customized to the needs of HCWs.

This study supports my picot by illustrating how the COVID-19 pandemic’s mental health implications can be reduced through making mental health resource materials available, providing training in stress management arranging for confidential telephonic calls/online counseling.

References

Gupta, S., & Sahoo, S. (2020). Pandemic and mental health of the front-line healthcare workers: A review and implications in the Indian context amidst COVID-19. General Psychiatry, 33(5), e100284. doi:10.1136/gpsych-2020-100284

Hennein, R., Mew, E. J., & Lowe, S. R. (2021). Socio-ecological predictors of mental health outcomes among healthcare workers during the COVID-19 pandemic in the united states. PloS One, 16(2), e0246602. doi:10.1371/journal.pone.0246602

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