Reporting Near Misses in Healthcare

This practicum project investigates bottlenecks in reporting near misses in nursing practice. It utilizes secondary data from hospital statistics and patient testimonies to analyze the issue, focusing on negligence by senior medical practitioners assigning inexperienced nurses. The project highlights the importance of improving service delivery and nurse welfare through transparent reporting and open discussion on policy decisions within the healthcare field. A positive return on investment is anticipated due to the qualitative gains in satisfaction and motivation for nurses.

Reporting near misses in healthcare program
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Reporting near misses in healthcare program
The need identified for this practicum project is; bottlenecks to reporting incidences of near
misses in nursing practice
Data collection
method rationale
Observation.
Observation will be
one of the best
methods for this
project because
contact with hospital
staff is prohibited
Internet data.
Data from the internet
is vast and dynamic.
A good health
research will provide
a wide spectrum of
information about
challenges that nurses
face
Feedback from
practicum site
Not required Not required
Determination of
reliability and validity
for quantitative data
Confirmation from
documented data
especially found in
databases from
organizations that
have previously
researched on this
Reference from
official sites. Blogs
and search engines
may give opinions
from scholars that are
not authenticated.
Only official websites

topic will be utilized.
Measure of
trustworthiness for
qualitative data
Tabulation into
quantitative data. By
use of software like
SSPS, qualitative data
can be analyzed and
deductions made from
it.
Use of analysis
software.
Return on investment of the practicum project
This project has mainly used secondary data because of the caution that the members of the
hospital should not know that they are being investigated. However, hospital statistics available
to the public provided credible information about lack of reporting on near misses in nursing.
The near misses, as has been testified by patients, are mainly as a result of negligence by senior
medical practitioners who assign inexperienced nurses the duty of caring for patients (Smith,
Harris, Potters, Sharma, Mutic, Gay and Terezakis, 2014). The use of secondary data was cost-
effective in logistics and finances. This led to gathering of useful data without having to worry
about subjectivity of respondents which arises where such tools as interviews are used.
Before deconstruction of the project, there needs to be included therein mechanisms for primary
data. The use of primary data gives authenticity to the research done (Baker, Rodgers, Davis,
Gracely and Bowleg, 2014). This project is poised to improve patient care because there will be
deliberate efforts to provide feedback through various forums available (Brennan and Bakken,

2015). The first feedback will be to the nurses directly where those responsible for the welfare of
the nurses will see the challenges they have to go through in the line of work. The public will be
presented with this information through articles that will be published in the media particularly
the print media. Messages transmitted in print media enjoy wider readership and can easily be
stored for future use. This will be a good forum for discussion on policy decisions in the
healthcare field.
Return on investment is the measure of gain or loss regarding an investment in relation to the
money invested (Baxter, Sanderson, Venn, Blizzard, and Palmer, 2014). It is usually depicted in
formula form i.e.
ROI = (Net Profit/ cost of investment) * 100
Return on investment can be customized to various situations depending on the tradable goods
for a firm (Slight, Franz, Olugbile, Brown, Bates,and Zimlichman, 2014). In this practicum case,
ROI cannot only be based on financial gains because it is intended to improve service delivery
and welfare of nurses. This calculation will therefore have to be based partly on the qualitative
gain of satisfaction and level of motivation for the nurses (Speroni,, Fisher, Dennis, and Daniel,
2014).. Based on the strategy adopted by this practicum, it has a positive return on investment.
Brennan, P. F., & Bakken, S. (2015). Nursing needs big data and big data needs nursing. Journal
of Nursing Scholarship, 47(5), 477-484.

Baker, J. L., Rodgers, C. R., Davis, Z. M., Gracely, E., & Bowleg, L. (2014). Results from a
secondary data analysis regarding satisfaction with health care among African American women
living with HIV/AIDS. Journal of Obstetric, Gynecologic, & Neonatal Nursing, 43(5), 664-676.
Baxter, S., Sanderson, K., Venn, A. J., Blizzard, C. L., & Palmer, A. J. (2014). The relationship
between return on investment and quality of study methodology in workplace health promotion
programs. American Journal of Health Promotion, 28(6), 347-363.
Slight, S. P., Franz, C., Olugbile, M., Brown, H. V., Bates, D. W., & Zimlichman, E. (2014). The
return on investment of implementing a continuous monitoring system in general medical-
surgical units. Critical care medicine, 42(8), 1862-1868.
Speroni, K. G., Fisher, J., Dennis, M., & Daniel, M. (2014). What causes near-misses and how
are they mitigated?. Plastic Surgical Nursing, 34(3), 114-119.
Smith, K. S., Harris, K. M., Potters, L., Sharma, R., Mutic, S., Gay, H. A., ... & Terezakis, S.
(2014). Physician attitudes and practices related to voluntary error and near-miss
reporting. Journal of Oncology Practice, 10(5), e350-e357.