| Literature DB >> 36200114 |
Zahra Alanaki1, Sokaina Alkhuder1, Banin Almurawhan1, Sara Alakash1, Mohammed Almulhim2.
Abstract
Background: Blood tests are usually obtained by venipuncture which is an insertion of a needle into a vein. Since blood collection is frequently ordered, it contributes to the increased workload on healthcare professionals. Thus, utilization of previously inserted peripheral intravenous lines for blood collection is proposed to decrease the work burden. Objective: The aim of the study was to make assessment of the awareness and practice of emergency medicine and intensive care unit staff regarding blood sampling via pre-existing peripheral line.Entities:
Keywords: Pre-existing peripheral intravenous cannula; awareness; blood sampling; policy; venipuncture
Mesh:
Year: 2022 PMID: 36200114 PMCID: PMC9478826 DOI: 10.5455/medarh.2022.76.175-182
Source DB: PubMed Journal: Med Arch ISSN: 0350-199X
Socio-demographic characteristics of participants according to hospital department (n=95)
| Study variables | ED N (%)(n=54) | ICU N (%)(n=41) |
|---|---|---|
| Gender | ||
| Male | 24 (44.4%) | 19 (46.3%) |
| Female | 30 (55.6%) | 22 (53.7%) |
| Nationality | ||
| Saudi | 30 (55.6%) | 18 (43.9%) |
| Non-Saudi | 24 (44.4%) | 23 (56.1%) |
| Job title | ||
| Nurse | 25 (46.3%) | 24 (58.5%) |
| Resident | 15 (27.8%) | 07 (17.1%) |
| Specialist | 08 (14.8%) | 05 (12.2%) |
| Consultant | 06 (11.1%) | 05 (12.2%) |
| Professional level of the nurses(n=49) | ||
| Nursing technician | 16 (64.0%) | 06 (25.0%) |
| Nursing specialist | 09 (36.0%) | 17 (70.8%) |
| Senior specialist | 0 | 01 (04.2%) |
| Years of experience in KFUH | ||
| ≤5 years | 29 (53.7%) | 25 (61.0%) |
| 6 – 10 years | 18 (33.3%) | 11 (26.8%) |
| >10 years | 07 (13.0%) | 05 (12.2%) |
| Is blood collection one of your job duties? | ||
| No | 29 (53.7%) | 16 (39.0%) |
| Yes | 25 (46.3%) | 25 (61.0%) |
| Current average working hours per week? | ||
| 24 – 32 hours | 17 (31.5%) | 04 (09.8%) |
| 40 – 48 hours | 37 (68.5%) | 35 (85.4%) |
| ≥56 hours | 0 | 02 (04.9%) |
| Which shift has the greatest workload? | ||
| Morning | 02 (03.7%) | 29 (70.7%) |
| Evening | 51 (94.4%) | 06 (14.6%) |
| Night | 01 (01.9%) | 06 (14.6%) |
Assessment of awareness regarding the use of pre-existing peripheral intravenous line as an alternative to venipuncture to collect blood samples. † Not included in the assessment of awareness score. * Indicates positive response. § P-value has been calculated using Fischer Exact test.
| Statement | Overall N (%)(n=95) | ED N (%)(n=54) | ICU N (%)(n=41) | P-value§ |
|---|---|---|---|---|
| Are you aware about any policy to be followed when using pre-existing peripheral intravenous line to collect blood sample? | ||||
| No | 46 (48.4%) | 28 (51.9%) | 18 (43.9%) | 0.535 |
| Yes * | 49 (51.6%) | 26 (48.1%) | 23 (56.1%) | |
| Have you ever been educated or introduced to the institution protocol regarding the correct technique of blood sampling through pre-existing peripheral intravenous line? | ||||
| No | 53 (55.8%) | 30 (55.6%) | 23 (56.1%) | 1.000 |
| Yes * | 42 (44.2%) | 24 (44.4%) | 18 (43.9%) | |
| Do you know how much milliliter (mL) of blood must be discarded before collecting the blood sample from pre-existing peripheral intravenous line? | ||||
| No | 51 (53.7%) | 34 (63.0%) | 17 (41.5%) | 0.041 ** |
| Yes * | 44 (46.3%) | 20 (37.0%) | 24 (58.5%) | |
| Do you know for how long intravenous infusion must be stopped before collecting the blood sample from pre-existing peripheral intravenous line? | ||||
| No | 65 (68.4%) | 38 (70.4%) | 27 (65.9%) | 0.662 |
| Yes * | 30 (31.6%) | 16 (29.6%) | 14 (34.1%) | |
| Do you need further educational materials regarding the correct technique of blood sampling through pre-existing peripheral intravenous lines? † | ||||
| No | 30 (31.6%) | 14 (25.9%) | 16 (39.0%) | 0.189 |
| Yes | 65 (68.4%) | 40 (74.1%) | 25 (61.0%) | |
| Total awareness score (mean ± SD) | 1.74 ± 1.29 | – | – | – |
| Level of awareness | ||||
| Poor | 65 (68.4%) | – | – | – |
| Good | 30 (31.6%) | – | – | – |
Figure 1.Association between the level of awareness and practice
Assessment of the participants’ background regarding blood sampling technique through pre-existing peripheral intravenous line. § P-value has been calculated using Fischer Exact test. ** Significant at p<0.05 level.
| Statement | Overall N (%)(n=95) | ED N (%)(n=54) | ICU N (%)(n=41) | P-value§ |
|---|---|---|---|---|
| How much milliliters (mL) of blood must be discarded before collecting the blood sample from pre-existing peripheral intravenous line? | ||||
| 2 mL | 24 (25.3%) | 14 (25.9%) | 10 (24.4%) | 0.248 |
| 3 mL | 06 (06.3%) | 05 (09.3%) | 01 (02.4%) | |
| 4 mL | 04 (04.2%) | 03 (05.6%) | 01 (02.4%) | |
| 5 mL | 44 (46.3%) | 20 (37.0%) | 24 (58.5%) | |
| >5 mL | 07 (07.4%) | 06 (11.1%) | 01 (02.4%) | |
| Unsure | 10 (10.5%) | 06 (11.1%) | 04 (09.8%) | |
| For how long intravenous infusion must be stopped before collecting the blood sample from pre-existing peripheral intravenous line? | ||||
| 15 seconds | 09 (09.5%) | 05 (09.3%) | 04 (09.8%) | 0.855 |
| 30 seconds | 13 (13.7%) | 08 (14.8%) | 05 (12.2%) | |
| 1 minutes | 22 (23.2%) | 14 (25.9%) | 08 (19.5%) | |
| 2 minutes | 30 (31.6%) | 16 (29.6%) | 14 (34.1%) | |
| >2 minutes | 11 (11.6%) | 07 (13.0%) | 04 (09.8%) | |
| Unsure | 10 (10.5%) | 04 (07.4%) | 06 (14.6%) | |
Figure 2:Comparison of the knowledge between ED and ICU staff regarding blood parameters that are not advised to be measured when using a pre-existing peripheral intravenous line
Assessment of the practice regarding the use of pre-existing peripheral intravenous line as an alternative to venipuncture to collect blood samples § P-value has been calculated using Fischer Exact test.
| Statement | Overall N (%)(n=95) | ED N (%)(n=54) | ICU N (%)(n=41) | P-value§ |
|---|---|---|---|---|
| Do you experience blood sample collection through a pre-existing peripheral intravenous line as an alternative to direct venipuncture? ‡ | ||||
| No | 53 (55.8%) | 32 (59.3%) | 21 (51.2%) | 0.532 |
| Yes | 42 (44.2%) | 22 (40.7%) | 20 (48.8%) | |
| If you prefer using pre-existing peripheral intravenous line to collect blood samples, what is/are the possible benefit/s you have noticed? † | ||||
| Time saving method | 63 (66.3%) | 36 (66.7%) | 27 (65.9%) | 1.000 |
| Safe method | 34 (35.8%) | 15 (27.8%) | 19 (46.3%) | 0.084 |
| Anxiety reduction | 36 (37.9%) | 19 (35.2%) | 17 (41.5%) | 0.670 |
| No special training is required | 13 (13.7%) | 08 (14.8%) | 05 (12.2%) | 0.772 |
| No idea | 03 (03.2%) | 02 (03.7%) | 01 (02.4%) | 1.000 |
| None of these | 06 (06.3%) | 05 (09.3%) | 01 (02.4%) | 0.231 |
| If you don’t prefer using pre-existing peripheral intravenous line to collect blood samples, what are the concerns you try to avoid? † | ||||
| Sample dilution | 56 (58.9%) | 30 (55.6%) | 26 (63.4%) | 0.529 |
| Sample hemolysis | 45 (47.4%) | 24 (44.4%) | 21 (51.2%) | 0.540 |
| Sample contamination by colonization | 32 (33.7%) | 20 (37.0%) | 12 (29.3%) | 0.513 |
| Sample not adequate | 17 (17.9%) | 10 (18.5%) | 07 (17.1%) | 1.000 |
| Catheter occlusion by a thrombus | 26 (27.4%) | 14 (25.9%) | 12 (29.3%) | 0.817 |
| No idea | 02 (02.1%) | 01 (01.9%) | 01 (02.4%) | 1.000 |
| None of these | 03 (03.2%) | 03 (05.6%) | 0 | 0.256 |
Assessment of Venipuncture practice and its complication according to hospital department. † Variable with multiple response answers.
| Statement | Overall N (%)(n=95) | ED N (%)(n=54) | ICU N (%)(n=41) |
|---|---|---|---|
| How frequently you perform venipuncture for blood sampling per day? | |||
| Less than 10 times per day | 28 (29.5%) | 04 (07.4%) | 24 (58.5%) |
| 10-20 times per day | 11 (11.6%) | 08 (14.8%) | 03 (07.3%) |
| More than 20 times per day | 16 (16.8%) | 16 (29.6%) | 0 |
| I don’t perform it | 40 (42.1%) | 26 (48.1%) | 14 (34.1%) |
| Have you ever experienced a needle stick injury while performing venipuncture? | |||
| No | 64 (67.4%) | 40 (74.1%) | 24 (58.5%) |
| Yes | 31 (32.6%) | 14 (25.9%) | 17 (41.5%) |
Association between the level of awareness and practice regarding the socio-demographic characteristics of participants (n=95). P-value has been calculated using Fischer Exact test. ** Significant at p<0.05 level.
| Factor | Level of awareness | Level of practice | ||
|---|---|---|---|---|
| Poor N (%)(n=65) | Good N (%)(n=30) | Negative N (%)(n=53) | Positive N (%)(n=42) | |
| Gender | ||||
| Male | 30 (46.2%) | 13 (43.3%) | 27 (50.9%) | 16 (38.1%) |
| Female | 35 (53.8%) | 17 (56.7%) | 26 (49.1%) | 26 (61.9%) |
| P-value | 0.828 | 0.222 | ||
| Hospital department | ||||
| ED | 37 (56.9%) | 17 (56.7%) | 32 (60.4%) | 22 (52.4%) |
| ICU | 28 (43.1%) | 13 (43.3%) | 21 (39.6%) | 20 (47.6%) |
| P-value | 1.000 | 0.532 | ||
| Nationality | ||||
| Saudi | 41 (63.1%) | 07 (23.3%) | 32 (60.4%) | 16 (38.1%) |
| Non-Saudi | 24 (36.9%) | 23 (76.7%) | 21 (39.6%) | 26 (61.9%) |
| P-value | <0.001 ** | 0.040 ** | ||
| Job title | ||||
| Nurse | 24 (36.9%) | 25 (83.3%) | 20 (37.7%) | 29 (69.0%) |
| Resident | 21 (32.3%) | 01 (03.3%) | 14 (26.4%) | 08 (19.0%) |
| Specialist | 10 (15.4%) | 03 (10.0%) | 09 (17.0%) | 04 (09.5%) |
| Consultant | 10 (15.4%) | 01 (03.3%) | 10 (18.9%) | 01 (02.4%) |
| P-value | <0.001 ** | 0.008 ** | ||
| Professional level of nurse (n=49) | ||||
| Nursing technician | 08 (33.3%) | 14 (56.0%) | 09 (45.0%) | 13 (44.8%) |
| Nursing/Senior specialist | 16 (66.7%) | 11 (44.0%) | 11 (55.0%) | 16 (55.2%) |
| P-value | 0.154 | 1.000 | ||
| Years of experience | ||||
| ≤5 years | 39 (60.0%) | 15 (50.0%) | 29 (54.7%) | 25 (59.5%) |
| 6 – 10 years | 17 (26.2%) | 12 (40.0%) | 17 (32.1%) | 12 (28.6%) |
| >10 years | 09 (13.8%) | 03 (10.0%) | 07 (13.2%) | 05 (11.9%) |
| P-value | 0.418 | 0.956 | ||
| Is blood collection one of your job duties? | ||||
| No | 40 (61.5%) | 05 (16.7%) | 33 (62.3%) | 12 (28.6%) |
| Yes | 25 (38.5%) | 25 (83.3%) | 20 (37.7%) | 30 (71.4%) |
| P-value | <0.001 ** | 0.002 ** | ||
| Current average working hours per week? | ||||
| 24 – 32 hours | 20 (30.8%) | 01 (03.3%) | 15 (28.3%) | 06 (14.3%) |
| 40 – 48 hours | 43 (66.2%) | 29 (96.7%) | 36 (67.9%) | 36 (85.7%) |
| ≥56 hours | 02 (03.1%) | 0 | 02 (03.8%) | 0 |
| P-value | 0.002 ** | 0.104 | ||
| Which shift has the greatest workload? | ||||
| Morning | 22 (33.8%) | 09 (30.0%) | 15 (28.3%) | 16 (38.1%) |
| Evening | 39 (60.0%) | 09 (30.0%) | 36 (67.9%) | 21 (50.0%) |
| Night | 04 (06.2%) | 03 (10.0%) | 02 (03.8%) | 05 (11.9%) |
| P-value | 0.829 | 0.132 | ||