Evidence map›Paper›PMID 33906319›Full record

Observational studyAsian Pacific journal of cancer prevention : APJCP2021

Using Failure Mode and Effects Analysis in Improving Nursing Blood Sampling at an International Specialized Cancer Center.

Anas Haroun, Majeda A Al-Ruzzieh, Najah Hussien, Abdelrahman Masa'ad, Rateb Hassoneh, Ghada Abu Alrub, Omar Ayaad

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Asian Pacific journal of cancer prevention : APJCP, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.6field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Enhancing Medication Safety: Reducing Administration Errors in Oncology Setting.Asian Pacific journal of cancer prevention : APJCP · 2025
    Article
  7. Article
  8. Article
  9. Referral Process Enhancement: Innovative Approaches and Best Practices.Asian Pacific journal of cancer prevention : APJCP · 2024
    Article
  10. Article
  11. Article
  12. Preventive Risk Assessment of Medication in Intensive Wards.International journal of preventive medicine · 2023
    Article
  13. Article
  14. Adopting Lean Management in Quality of Services, Cost Containment, and Time Management.Asian Pacific journal of cancer prevention : APJCP · 2022
    Article
  15. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Anas HarounKing Hussein Cancer Center, Al-Jubeiha Amman, Jordan.
Majeda A Al-RuzziehKing Hussein Cancer Center, Al-Jubeiha Amman, Jordan.
Najah HussienKing Hussein Cancer Center, Al-Jubeiha Amman, Jordan.
Abdelrahman Masa'adKing Hussein Cancer Center, Al-Jubeiha Amman, Jordan.
Rateb HassonehKing Hussein Cancer Center, Al-Jubeiha Amman, Jordan.
Ghada Abu AlrubKing Hussein Cancer Center, Al-Jubeiha Amman, Jordan.
Omar AyaadKing Hussein Cancer Center, Al-Jubeiha Amman, Jordan.ORCID 0000-0003-1521-117X
King Hussein Cancer Center · JO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe process of blood sampling is considered one of the primary and most common nursing invasive procedures carried out daily. Any failure at any point could have a severe negative impact on patient outcomes. PURPOSE: This project aimed to assess and improve the nursing blood sampling process in a specialized cancer center using failure mode and effect analysis (FMEA).

methodsAn observational analytical design of the nursing blood sampling process using FMEA was conducted in King Hussein Cancer Center in Amman, Jordan. Seven steps were conducted, including a review of the blood sampling process, brainstorming potential failures, listing potential effects of each failure mode, assigning a severity rating for each potential effect, assigning a frequency/occurrence rating for each failure mode, assigning a detection rating scale for each failure mode, and calculating the Risk Priority Number (RPN) for each effect.

resultsEight (out of 28) main critical failure modes with more than 200 RPN were identified in the blood sampling process. Accordingly, five themes were developed to guide the corrective actions. These themes included: process and responsibility modifications, resource and information technology utilization, patients and family engagement, safety culture, and education and training after implementation of the corrective actions. This resulted in a 58 % reduction in the RPN of major failure modes.

conclusionMany factors lead to blood sampling errors. A critical focus should be conducted on the preparation phase due to the possible errors that may occur. Proper identification of patients and blood sample tests are the keys to a significant decrease in blood sampling errors.<br />.

Indexed as

Cancer Care FacilitiesBlood Specimen CollectionHealthcare Failure Mode and Effect AnalysisHumansJordanMedical ErrorsSafety ManagementSelection Biasand Sampling ProcessFMEAKing Hussein Cancer CenterNursingSpecialized Cancer Center

Identifiers

PMID33906319
PMCPMC8325149
OpenAlexW3158558358

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.