Challenges, Perceptions, Training and Needs of Primary Care Nurses in the Management of Patients with Percutaneous Endoscopic Gastrostomy: A Cross-Sectional Study in Southern Spain
Abstract
1. Introduction
2. Materials and Methods
2.1. Design
2.2. Study Setting and Sampling
2.3. Variables
2.4. Data Collection Data Analysis
2.5. Ethical Considerations
3. Results
| Total | p | ||||||
|---|---|---|---|---|---|---|---|
| Q1 | Age (years) % (n) | (26–35) | (36–45) | (46–55) | (56–65) | 0.152 | |
| 30.8 (4) | 33.3 (7) | 41.7 (15) | 57.1 (28) | 45.4 (54) | |||
| Professional experience (Years) % (n) | (3–10) | (11–20) | (21–30) | (>30) | 0.030 | ||
| 10.0 (1) | 27.8 (5) | 48.6 (17) | 53.6 (30) | 44.5 (53) | |||
| Education level % (n) | Nursing degree | Master’s degree | S-FCN | PhD (HS) | <0.001 | ||
| 32.4 (24) | 36.4 (4) | 76.7 (23) | 50.0 (3) | 44.6 (54) | |||
| Healthcare service % (n) | PHC | PCES | 1.000 | ||||
| 44.6 (50) | 44.4 (4) | 44.6 (54) | |||||
| Q2 | Age (years) % (n) | (26–35) | (36–45) | (46–55) | (56–65) | 0.486 | |
| 92.3 (12) | 85.0 (17) | 91.7 (33) | 95.9 (47) | 92.4 (109) | |||
| Professional experience (Years) % (n) | (3–10) | (11–20) | (21–30) | (>30) | 0.471 | ||
| 90.0 (9) | 88.9 (16) | 88.2 (30) | 96.4 (54) | 92.4 (109) | |||
| Education level % (n) | Nursing degree | Master’s degree | S-FCN | PhD (HS) | 0.268 | ||
| 89.0 (65) | 90.9 (10) | 100 (30) | 83.3 (5) | 91.7 (110) | |||
| Healthcare service % (n) | PHC | PCES | 0.556 | ||||
| 91.9 (102) | 88.9 (8) | 91.7 (110) | |||||
| Q3 | Age (years) % (n) | (26–35) | (36–45) | (46–55) | (56–65) | 0.889 | |
| 69.2 (9) | 61.9 (13) | 69.4 (25) | 71.4 (35) | 68.9 (82) | |||
| Professional experience (Years) % (n) | (3–10) | (11–20) | (21–30) | (>30) | 0.884 | ||
| 60.0 (6) | 66.7 (12) | 71.4 (25) | 71.4 (40) | 69.7 (83) | |||
| Education level %(n) | Nursing degree | Master’s degree | S-FCN | PhD (HS) | 0.098 | ||
| 62.2 (46) | 81.8 (9) | 83.3 (25) | 50.0 (3) | 68.6 (83) | |||
| Healthcare service % (n) | PHC | PCES | 0.718 | ||||
| 67.9 (76) | 77.8 (7) | 68.6 (83) | |||||
| Q4 | Age (years) % (n) | (26–35) | (36–45) | (46–55) | (56–65) | 0.031 | |
| Dislodgement | 9.1 (1) | 52.9 (9) | 56.3 (18) | 57.1 (24) | 51.0 (52) | ||
| Obstruction | 72.7 (8) | 23.5 (4) | 18.8 (6) | 26.2 (11) | 28.4 (29) | ||
| Infection | 18.2 (2) | 23.5 (4) | 25.0 (8) | 16.7 (7) | 20.6 (21) | ||
| Professional experience (Years) % (n) | (3–10) | (11–20) | (21–30) | (>30) | 0.200 | ||
| Dislodgement | 22.2 (2) | 33.3 (5) | 64.5 (20) | 52.1 (25) | 50.5 (52) | ||
| Obstruction | 55.6 (5) | 40.0 (6) | 16.1 (5) | 27.1 (13) | 28.2 (29) | ||
| Infection | 22.2 (2) | 26.7 (4) | 19.4 (6) | 20.8 (10) | 21.4 (22) | ||
| Education level % (n) | Nursing degree | Master’s degree | S-FCN | PhD (HS) | 0.212 | ||
| Dislodgement | 60.7 (37) | 22.2 (2) | 41.4 (12) | 20.0 (1) | 50.0 (52) | ||
| Obstruction | 23.0 (14) | 44.4 (4) | 34.5 (10) | 40.0 (2) | 28.8 (30) | ||
| Infection | 16.4 (10) | 33.3 (3) | 24.1 (7) | 40.0 (2) | 21.2 (22) | ||
| Healthcare service % (n) | PHC | PCES | 0.288 | ||||
| Dislodgement | 52.1 (50) | 25.0 (2) | 50.0 (52) | ||||
| Obstruction | 27.1 (26) | 50.0 (4) | 28.8 (30) | ||||
| Infection | 20.8 (20) | 25.0 (2) | 21.2 (22) |
| Total | p | OR (95% CI) p | ||||||
|---|---|---|---|---|---|---|---|---|
| Q5 | Age (years) % (n) | (26–35) | (36–45) | (46–55) | (56–65) | 0.232 | ||
| 38.5 (5) | 47.6 (10) | 66.7 (24) | 61.2 (30) | 58.0 (69) | ||||
| Professional experience (Years) % (n) | (3–10) | (11–20) | (21–30) | (>30) | 0.543 | |||
| 50.0 (5) | 44.4 (8) | 60.0 (21) | 62.5 (35) | 58.0 (69) | ||||
| Education level % (n) | Nursing degree | Master’s degree | S-FCN | PhD (HS) | 0.520 | |||
| 59.5 (44) | 45.5 (5) | 60.0 (18) | 33.3 (2) | 57.0 (69) | ||||
| Healthcare service % (n) | PHC | PCES | 0.038 | 0.19 (0.38–0.966) p = 0.045 | ||||
| 59.8 (67) | 22.2 (2) | 57.0 (69) | ||||||
| Q6 | Age (years) % (n) | (26–35) | (36–45) | (46–55) | (56–65) | 0.001 | ||
| 15.4 (2) | 23.8 (5) | 55.6 (20) | 63.3 (31) | 48.7 (58) | ||||
| Professional experience (Years) % (n) | (3–10) | (11–20) | (21–30) | (>30) | <0.001 | 8.75 (2.80–27.33) p = 0.000 | ||
| 10.0 (1) | 16.7 (3) | 57.1 (20) | 60.7 (34) | 48.7 (58) | ||||
| Education level % (n) | Nursing degree | Master’s degree | S-FCN | PhD (HS) | 0.347 | |||
| 47.3 (35) | 45.5 (5) | 56.7 (17) | 16.7 (1) | 47.9 (58) | ||||
| Healthcare service % (n) | PHC | PCES | 0.494 | |||||
| 49.1 (55) | 33.3 (3) | 47.9 (58) | ||||||
| Q7 | Age (years) % (n) | (26–35) | (36–45) | (46–55) | (56–65) | 0.012 | ||
| 69.2 (9) | 47.6 (10) | 71.4 (25) | 85.7 (42) | 72.9 (86) | ||||
| Professional experience (Years) % (n) | (3–10) | (11–20) | (21–30) | (>30) | 0.003 | |||
| 60.0 (6) | 55.6 (10) | 60.0 (21) | 89.1 (49) | 72.9 (86) | ||||
| Education level % (n) | Nursing degree | Master’s degree | S-FCN | PhD (HS) | 0.243 | |||
| 67.1 (49) | 72.7 (8) | 86.7 (26) | 66.7 (4) | 72.5 (87) | ||||
| Healthcare service % (n) | PHC | PCES | 0.257 | |||||
| 73.9 (82) | 55.6 (5) | 72.5 (87) | ||||||
| Q8 | Age (years) % (n) | (26–35) | (36–45) | (46–55) | (56–65) | 0.470 | ||
| 23.1 (3) | 19.0 (4) | 36.1 (13) | 34.7 (17) | 31.1 (37) | ||||
| Professional experience (Years) % (n) | (3–10) | (11–20) | (21–30) | (>30) | 0.160 | 3.41 (1.09–10.69) p = 0.035 | ||
| 20.0 (2) | 11.1 (2) | 34.3 (12) | 37.5 (21) | 31.1 (37) | ||||
| Education level % (n) | Nursing degree | Master’s degree | S-FCN | PhD (HS) | 0.125 | |||
| 24.3 (18) | 36.4 (4) | 46.7 (14) | 16.7 (1) | 30.6 (37) | ||||
| Healthcare service % (n) | PHC | PCES | 0.720 | |||||
| 31.3 (35) | 22.2 (2) | 30.6 (37) | ||||||
| Q9 | Age (years) % (n) | (26–35) | (36–45) | (46–55) | (56–65) | 0.003 | ||
| 46.2 (6) | 23.8 (5) | 50.0 (18) | 71.4 (35) | 53.8 (64) | ||||
| Professional experience (Years) % (n) | (3–10) | (11–20) | (21–30) | (>30) | <0.001 | 6.14 (2.26–16.67) p = 0.000 | ||
| 40.0 (4) | 11.1 (2) | 54.3 (19) | 67.9 (38) | 52.9 (63) | ||||
| Education level % (n) | Nursing degree | Master’s degree | S-FCN | PhD (HS) | 0.117 | |||
| 50.0 (37) | 36.4 (4) | 70.0 (21) | 33.3 (2) | 52.9 (64) | ||||
| Healthcare service % (n) | PHC | PCES | 0.304 | |||||
| 54.5 (61) | 33.3 (3) | 52.9 (64) |
| Total | p | OR (95% CI) p | ||||||
|---|---|---|---|---|---|---|---|---|
| Q10 | Age (years) % (n) | (26–35) | (36–45) | (46–55) | (56–65) | 0.183 | ||
| 0.0 (0) | 14.3 (3) | 22.2 (8) | 10.2 (5) | 13.4 (16) | ||||
| Professional experience (Years) % (n) | (3–10) | (11–20) | (21–30) | (>30) | 0.060 | |||
| 0.0 (0) | 5.6 (1) | 25.7 (9) | 10.7 (6) | 13.4 (16) | ||||
| Education level % (n) | Nursing degree | Master’s degree | S-FCN | PhD (HS) | 0.741 | |||
| 14.9 (11) | 9.1 (1) | 13.3 (4) | 0.0 (0) | 13.2 (16) | ||||
| Healthcare service % (n) | PHC | PCES | 1.000 | |||||
| 13.4 (15) | 11.1 (1) | 13.2 (16) | ||||||
| Q11 | Age (years) % (n) | (26–35) | (36–45) | (46–55) | (56–65) | <0.001 | ||
| 0.0 (0) | 19.0 (4) | 40.0 (14) | 56.3 (27) | 38.5 (45) | ||||
| Professional experience (Years) % (n) | (3–10) | (11–20) | (21–30) | (>30) | <0.001 | 12.15 (2.71–54.30) p = 0.001 | ||
| 0.0 (0) | 11.1 (2) | 41.2 (14) | 52.7 (29) | 38.5 (45) | ||||
| Education level % (n) | Nursing degree | Master’s degree | S-FCN | PhD (HS) | 0.169 | |||
| 32.9 (24) | 27.3 (3) | 55.2 (16) | 33.3 (2) | 37.8 (45) | ||||
| Healthcare service % (n) | PHC | PCES | 0.151 | |||||
| 40.0 (44) | 11.1 (1) | 37.8 (45) | ||||||
| Q12 | Age (years) % (n) | (26–35) | (36–45) | (46–55) | (56–65) | 0.830 | ||
| 100.0 (13) | 100.0 (21) | 97.2 (35) | 98.0 (48) | 98.3(117) | ||||
| Professional experience (Years) % (n) | (3–10) | (11–20) | (21–30) | (>30) | 0.181 | |||
| 100.0 (10) | 100.0 (18) | 94.3 (33) | 100.0 (56) | 98.3(117) | ||||
| Education level % (n) | Nursing degree | Master’s degree | S-FCN | PhD (HS) | 0.029 | |||
| 98.6 (73) | 100.0 (11) | 100.0 (30) | 83.3 (5) | 98.3 (119) | ||||
| Healthcare service % (n) | PHC | PCES | 1.000 | |||||
| 98.2 (110) | 100.0 (9) | 98.3 (119) | ||||||
| Q13 | Age (years) % (n) | (26–35) | (36–45) | (46–55) | (56–65) | 0.002 | ||
| 30.8 (4) | 23.8 (5) | 52.8 (19) | 69.4 (34) | 52.1 (62) | ||||
| Professional experience (Years) %(n) | (3–10) | (11–20) | (21–30) | (>30) | <0.001 | 5.86 (2.16–15.89) p = 0.001 | ||
| 30.0 (3) | 16.7 (3) | 48.6 (17) | 69.6 (39) | 52.1 (62) | ||||
| Education level % (n) | Nursing degree | Master’s degree | S-FCN | PhD (HS) | 0.451 | |||
| 45.9 (34) | 54.5 (6) | 63.3 (19) | 50.0 (3) | 51.2 (62) | ||||
| Healthcare service % (n) | PHC | PCES | 0.090 | |||||
| 53.6 (60) | 22.2 (2) | 51.2 (62) |
| Q1: Do You Currently Care for Any Patients with PEG Tubes? | |||
|---|---|---|---|
| Variables | OR | 95%CI | p |
| S-FCN (yes vs. no) | 6.495 | 2.414–17.480 | 0.000 |
| Professional Experience (Years) | 3.947 | 1.357–11.479 | 0.012 |
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
| PCES | Primary Care Emergency Service |
| PEG | Percutaneous endoscopic gastrostomy |
| PhD (HS) | Doctorate in Health Sciences |
| PHC | Primary Healthcare |
| PHC | Primary Health Zone |
| S-FCN | Specialising in Family and Community Nursing |
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| Demographic and professional background | Age, gender, highest educational qualification, years of experience, province, zone, and work setting. |
| Knowledge and experience with PEG tubes |
|
| Training received and perception of training needs |
|
| Training provided to patients and families |
|
| Personal views on PEG tube management in Primary Care |
|
| Variable | % (n) |
| Age (years) | |
| 26–35 | 10.7 (13) |
| 36–45 | 17.2 (21) |
| 46–55 | 29.5 (36) |
| 56–65 | 40.2 (49) |
| Sex | |
| Woman | 67.2 (82) |
| Education level | |
| Nursing degree | 60.7 (74) |
| Master’s degree | 9.0 (11) |
| S-FCN | 24.6 (30) |
| PhD (HS) | 4.9 (6) |
| Professional experience (Years) | |
| 3–10 | 8.2 (10) |
| 11–20 | 14.8 (18) |
| 21–30 | 28.7 (35) |
| More than 30 | 45.9 (56) |
| Healthcare service | |
| PHC | 91.8 (12) |
| PCES | 7.4 (9) |
| Geographical area (number of inhabitants) | |
| Urban (≥50,000) | 59.0 (72) |
| Intermediate (5000 to 49,999) | 29.5 (36) |
| Rural (≤4999) | 7.4 (9) |
| 1. Importance of training and continuous education |
|
| 2. Referred to | Hospital In my health centre, patients are referred to the hospital for PEG tube changes performed by a specialist. Case manager nurse (or Liaison Nurse)
|
| 3. Need for guidelines |
|
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Oñate-Tenorio, M.d.l.S.; Trujillo-Garrido, N.; Bernal-Jiménez, M.d.l.Á.; Santi-Cano, M.J. Challenges, Perceptions, Training and Needs of Primary Care Nurses in the Management of Patients with Percutaneous Endoscopic Gastrostomy: A Cross-Sectional Study in Southern Spain. Healthcare 2025, 13, 2786. https://doi.org/10.3390/healthcare13212786
Oñate-Tenorio MdlS, Trujillo-Garrido N, Bernal-Jiménez MdlÁ, Santi-Cano MJ. Challenges, Perceptions, Training and Needs of Primary Care Nurses in the Management of Patients with Percutaneous Endoscopic Gastrostomy: A Cross-Sectional Study in Southern Spain. Healthcare. 2025; 13(21):2786. https://doi.org/10.3390/healthcare13212786
Chicago/Turabian StyleOñate-Tenorio, María de los Santos, Nuria Trujillo-Garrido, María de los Ángeles Bernal-Jiménez, and María José Santi-Cano. 2025. "Challenges, Perceptions, Training and Needs of Primary Care Nurses in the Management of Patients with Percutaneous Endoscopic Gastrostomy: A Cross-Sectional Study in Southern Spain" Healthcare 13, no. 21: 2786. https://doi.org/10.3390/healthcare13212786
APA StyleOñate-Tenorio, M. d. l. S., Trujillo-Garrido, N., Bernal-Jiménez, M. d. l. Á., & Santi-Cano, M. J. (2025). Challenges, Perceptions, Training and Needs of Primary Care Nurses in the Management of Patients with Percutaneous Endoscopic Gastrostomy: A Cross-Sectional Study in Southern Spain. Healthcare, 13(21), 2786. https://doi.org/10.3390/healthcare13212786

