Quality Improvement Data Collection
ASSIGNMENT
Meaningful quality improvement relies on the ongoing collection and analysis of data to provide baseline measures and track performance over time. Health Information Technologies such as Electronic Health Records and Health Information Exchanges are important tools for providing practitioners and researchers with the data needed to support quality improvement efforts.
For this discussion, you are to identify and analyze a research study in which HIT data was used for quality improvement.
Be sure to choose a rigorous research study published in a peer-reviewed journal found through the Himmelfarb library databases. The study must involve the use of HIT data to identify the need for QI and/or track the outcomes of a QI intervention.
For your initial post:
- Share the citation of the article and a link to the study. (Most Himmelfarb databases will provide you with a Permalink icon on the right side of the screen where you can copy the link to the study).
- Briefly describe the study purpose and outcomes.
- What HIT system(s) were used and how did they support data collection and/or analysis?
For your response:
- Locate the paper using the link provided by your colleague and briefly review the study methodology.
- Based on your review as well as your colleague’s summary, would you apply the outcomes of this research to your clinical practice? Why or why not?
Note: You only need to respond to one of your colleagues this week. Please try to pick a colleague that has not yet been responded to.
PRESENTER 1 (PAPER)
Purpose of this study is to assess what nurses think on how of healthcare information technology(HIT) specifically electronic health record (EHR) helps their practice improve patient care. The study discusses electronic nursing care reminders and missed nursing care. The outcome of the study shows that using HIT specifically EHR decreased the numbers of missed nursing care.
The HIT used in the study was EHR.
How was data collected and analyzed?
“Data were initially examined through descriptive analysis, and total scores were calculated for each of the three main variables in the study.” (Piscotty Jr, Kalisch and Gracey-Thomas, 2015)
The main study utilized a descriptive cross-sectional design with a convenience sample (Piscotty Jr, Kalisch and Gracey-Thomas, 2015)
Nursing Care Reminder Usage (NCRS) was used to measure frequency of reminer in this study. (Picotty Jr, Kalisch and Gracey-Thomas, 2015)
The NCRS was used to measure frequency of reminder use in this study. (Piscotty Jr, Kalisch and Gracey-Thomas, 2015)
The I-HIT Scale was used to measure nurse perceptions about the impact of HIT on practice (Dykes, Hurley, Cashen, Bakken, & Duffy (2007).
Surveys were also used to gather information about missed nursing care. The survey used in this study was called Missed Nursing Care Survey (MISSCARE Survey).
E-mail reminders and flyers were sent to the nurses involved to remind of the study being done.
Approval from the Institutional review board was needed and approved before the study.
“Data were analyzed using SPSS 21 (IBM Corp., Armonk, NY, USA). Data were initially examined through descriptive analysis, and total scores were calculated for each of the three main variables in the study.”(Piscotty Jr, Kalisch and Gracey-Thomas, 2015)
Testing for mediation was used by using a variable as a mediator where 3 criterias have to met: reminder usage, missed care, and when paths a and b are controlled, there is significant reduction in the variance between the independent variable and dependent variable (Piscotty, Kalisch, and Gracey-Thomas, 2015)
(The first reference is the article to be reviewed for the assignment.)
References:
Piscotty Jr, R, Kalisch, B and Gracey-Thomas, A. (2015) Impact of Healthcare Information Technology on Nursing Practice
Dykes, P. C., Hurley, A., Cashen, M., Bakken, S., & Duffy, M. E. (2007). Development and psychometric evaluation of the Impact of Health Information Technology (I-HIT) Scale. Journal of the American Medical Informatics Association, 14(4), 507– 514.