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NR449 Evidence-Based Practice

Matrix Table RUA: Analyzing Published Research

Evidence Matrix Table

ARTICLE

REFERENCES

PURPOSE HYPOTHESIS

STUDY QUESTION(S)

STUDY VARIABLES STUDY DESIGN

SAMPLE SIZE &

SELECTION

DATA COLLECTIO

N METHODS

MAJOR FINDING(S)

1 (SAMPLE ARTICLE)

Smith, L. (2013). What should I eat? A focus for those living with

diabetes. Journal of Nursing Education, 1 (4) 111-112.

How do educational support

groups effect dietary modifications in patients with diabetes?

D-Dietary

modifications I-Education

Qualitative N- 18 Convenience sample-selected

from local support group in Pittsburgh, PA

Focus Groups Support and education

improved compliance with dietary modifications.

1-ABBY Yanke, E., Moriarty, H., Carayon, P., & Safdar, N. (2021). “The Invisible Staff”: A qualitative analysis of environmental service workers’ perceptions of the VA Clostridium difficile prevention bundle using a human factors engineering approach. Journal of Patient Safety, 17(8), e806–e814.

To explore environmental service workers’ perceptions of the barriers and facilitators that influence adherence to the Veterans Affairs C. difficile prevention bundle using the SEIPS human factors model.

Qualitative themes, not variables

Qualitative descriptive study using a focus group; SEIPS human factors engineering framework.

N=7 Convenience sample Recruited from a single VA medical center

60-minute focus groups audio recorded.

-ESWs had strong knowledge of CDI hand hygiene requirements. -Barriers included inadequate space, difficulty enforcing visitor PPE adherence, interruptions while cleaning, and discomfort correcting physicians. -Facilitators included adequate supplies, supportive supervisors, clear cleaning protocols, and strong work ethic.

2-ABBY Banks, M., & Phillips, A. B. (2021). Evaluating the effect of automated hand hygiene technology on compliance and C. difficile rates in a

To evaluate whether implementing automated hand-hygiene monitoring technology increases staff compliance and reduces C. difficile infection rates in a

Independent Variable: Introduction of automated hand-hygiene technology

Non- randomized pre/post interventio n study (12 months pre- implementa

All clinical staff during study 3,778,830 monitor- captured Hand hygiene moments

Automated sensor system results

-Hand Hygiene compliance significantly increased from 89.82% to 97.10% -C. difficile incidence significantly decreased

NR449 Evidence-Based Practice

Matrix Table RUA: Analyzing Published Research

long-term acute care hospital. American Journal of Infection Control, 49, 727–732

long-term acute care hospital.

Dependent Variables: Hand Hygiene compliance, C. Diff infection incidence,

tion vs. 12 months post- implementa tion).

from 9.54 to 3.72 per period -Technology identified far more hand hygiene opportunities than traditional hand-audit observation. -Alcohol-based sanitizer consumption more than doubled.

3 LYDIA- TILACIOU

Comparcini, D.,

Simonetti, V.,

Segala, F. V., Di

Gennaro, F.,

Bavaro, D. F.,

Pompeo, M. A.,

Saracino, A., &

Cicolini, G. (2023).

Nurses’ knowledge,

attitudes and

practices on the

management of

Clostridioides

difficile infection: A

cross-sectional

study. Antibiotics,

12(3), 529.

https://doi.org/10.33

90/antibiotics12030 529

To evaluate nurses’

knowledge, attitudes, and

practices regarding

Clostridioides Difficile

Infection management and prevention.

Higher levels of

Clostridioides Difficile

Infection-related

knowledge among nurses

are associated with better

infection-prevention

practices.

What are nurses’

knowledge levels,

attitudes, and clinical

practices related to

Clostridioides Difficile

Independent

Variable:

Knowledge/atti

tudes.

Dependent Variable:

Infection-

prevention

clinical

practices

(including hand

hygiene and

contact

precautions).

Quantitati

ve cross- sectional

design.

424 registered

nurses

recruited via

convenience

sampling from three

hospitals in

Italy.

Self-

administe

red online

questionn

aire assessing

knowledg

attitudes,

and

practices;

analyzed

using

descriptiv

e and

inferential

statistics.

Nurses demonstrated strong awareness of Clostridioides Difficile Infection risks but insufficient understanding of correct disinfection procedures and optimal hand hygiene timing. Higher knowledge scores were associated with significantly better infection-control practices (p < 0.05). Authors recommended targeted education programs to raise compliance and reduce Clostridioides

NR449 Evidence-Based Practice

Matrix Table RUA: Analyzing Published Research

Infection prevention and

management?

Difficile Infection transmission.

4 LYDIA- TILACIOU

Lev, V., Anbarchian, T., Yao, H., Bhat, A., Britt, P., & Shieh, L. (2024). Health care–associated Clostridioides difficile infection: Learning the perspectives of health care workers to build successful strategies. American Journal of Infection Control, 52(3), 284–292. https://doi.org/10.1 016/j.ajic.2023.08.0 08

To explore healthcare

workers’ perspectives,

barriers, and facilitators

associated with

preventing healthcare-

associated C. difficile

infections.

Healthcare worker

insights can guide the

development of more

effective Clostridioides

Difficile Infection

Prevention strategies.

What barriers and facilitators do healthcare workers identify regarding Clostridioides Difficile Infection prevention efforts?

Qualitative study — variables not isolated/quanti fied; themes included communication , environmental cleaning, hand hygiene, and workflow factors.

Qualitative descriptive

study using semi- structured interviews.

45 healthcare workers

(nurses, physicians, EVS, infection preventionists ) recruited through purposive sampling in a large academic medical center.

Audio- recorded interviews transcribe d verbatim; thematic analysis conducte d by two independ ent coders.

Inconsistent hand hygiene, staffing shortages, unclear Clostridioides, Difficile Infection protocols, and insufficient interdepartmental communication were major barriers. Participants noted that reinforcing hand hygiene practices, improving workflow, and providing targeted education can reduce Clostridioides Difficile Infection rates.

5-NICOLE

6-NICOLE

7-OLIVIA 8-OLIVIA

AISSATA

10-

AISSATA

NR449 Evidence-Based Practice

Matrix Table RUA: Analyzing Published Research

11-TRACY

12- TRACY