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Research article
The effect of strengthening nurse practitioners’ competency in occupational health services for agricultural workers exposed to pesticides in primary care units, Thailand: a before-and-after study
Napamon Pumsopa1orcid, Ann Jirapongsuwan1*orcid, Surintorn Kalampakorn1orcid, Sukhontha Siri2orcid

DOI: https://doi.org/10.3352/jeehp.2025.22.14
Published online: April 21, 2025

1Department of Public Health Nursing, Faculty of Public Health, Mahidol University, Bangkok, Thailand

2Department of Epidemiology, Faculty of Public Health, Mahidol University, Bangkok, Thailand

*Corresponding email: ann.jir@mahidol.ac.th

Editor: A Ra Cho, The Catholic University of Korea, Korea

• Received: February 28, 2025   • Accepted: April 14, 2025

© 2025 Korea Health Personnel Licensing Examination Institute

This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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  • Purpose
    This study aimed to evaluate the effect of the Strengthening Nurse Practitioners’ Competency in Occupational Health Service (SNPCOHS) program. It was hypothesized that nurse practitioners (NPs) participating in the program would demonstrate increased competency in providing occupational health services to agricultural workers exposed to pesticides in primary care units (PCUs) compared to their baseline competency and to a comparison group.
  • Methods
    A quasi-experimental study was conducted between August and December 2023. The 4-week intervention included 5 hours of an e-learning program, 3 hours of online discussion, and 2 hours dedicated to completing an assignment. The program was evaluated at 3 time points: pre-intervention, post-intervention (week 4), and follow-up (week 8). Sixty NPs volunteered to participate, with 30 in the experimental group and 30 in the comparison group. Data on demographics, professional attributes, knowledge, skills, and perceived self-efficacy were collected using self-administered questionnaires via Google Forms. Data analysis involved descriptive statistics, independent t-tests, and repeated measures analysis of variance.
  • Results
    The experimental group demonstrated significantly higher mean scores in professional attributes, knowledge, skills, and perceived self-efficacy in providing occupational health services to agricultural workers exposed to pesticides compared to the comparison group at both week 4 and week 8 post-intervention.
  • Conclusion
    The SNPCOHS program is well-suited for self-directed learning for nurses in PCUs, supporting effective occupational health service delivery. It should be disseminated and supported as an e-learning resource for NPs in PCUs (Thai Clinical Trials Registry: TCTR20250115004).
Thailand’s agricultural workforce comprises nearly half of the total workforce, and almost all agricultural production processes rely heavily on pesticides [1]. This corresponds to a high volume of pesticide imports, which nearly doubled between 2000 and 2024 [2]. Pesticide poisoning remains a critical occupational health issue with acute and chronic harmful effects on agricultural workers, with an incidence rate of 9.58 per 100,000 people reported in 2024 [3].
Nurse practitioners (NPs) are the primary providers of these services for agricultural workers exposed to pesticides, and their competency which encompasses professional attributes, knowledge, and skills, directly affects the quality of patient care. However, most NPs have not received specialized training in occupational health nursing [4]. Current evidence indicates that occupational health services in primary care units (PCUs) do not follow occupational health and environmental medicine service standards [5]. Many NPs face significant challenges due to insufficient knowledge and skills in pesticide toxicology, initial diagnostic procedures for referrals, educating high-risk groups based on blood test results, teaching, and screening [6]. Existing occupational health training for healthcare workers is not specifically designed for NPs in PCUs, resulting in a lack of confidence in delivering occupational health services. Strengthening NPs’ competencies—professional attributes, knowledge, and skills—is essential for delivering evidence-based occupational health care and clarifying their roles in PCUs [7].
Self-efficacy theory, a key framework for competency development, suggests that individuals with higher perceived self-efficacy are more likely to demonstrate desired behaviors in practice [8]. Programs based on self-efficacy theory have effectively enhanced nurses’ professional attributes, knowledge, and skills. E-learning has emerged as an effective and flexible method for training NPs without interrupting patient care or requiring time away from work, addressing common barriers such as limited availability and scheduling conflicts [9]. Therefore, strengthening NPs' competencies in interpersonal relationships, care management, integrated healthcare services, and professional accountability can improve their performance in occupational health services [10]. Therefore, this study applied self-efficacy theory to develop and evaluate the effectiveness of the Strengthening Nurse Practitioners’ Competency in Occupational Health Service (SNPCOHS) program, which includes self-study through e-learning, video clips, online discussions, and case study assignments, thus enabling NPs in PCUs to provide effective occupational health services and improve agricultural workers’ health outcomes and well-being.
Objectives
This study aimed to investigate the effectiveness of the SNPCOHS program in strengthening NPs’ competencies for providing occupational health services to agricultural workers exposed to pesticides in Thailand’s PCUs. The specific objectives were: (1) to assess changes in NPs’ professional attributes, knowledge, and skills in delivering occupational health services; and (2) to examine changes in NPs’ perceived self-efficacy in providing these services (Fig. 1).
Ethics statement
This study was approved by the Ethical Review Committee for Human Research, Faculty of Public Health, Mahidol University (approval no., MUPH 2022-084). Written informed consent was obtained from all participants before data collection, and the study adhered to the principles of the Declaration of Helsinki.
Study design
This study employed a before and after design, specifically a non-equivalent comparison group pre- and post-test design, with time-based, non-randomized group assignment. A randomized controlled trial was not feasible due to several factors: (1) practical constraints in randomizing NPs in real-world PCU settings; (2) risk of contamination, as NPs may share knowledge and practices; (3) operational limitations in resource-constrained PCUs; (4) stakeholder and policy preferences for timely implementation; and (5) ethical concerns regarding withholding services from high-risk agricultural workers. The study was conducted in accordance with the TREND (Transparent Reporting of Evaluations with Nonrandomized Designs) statement and was registered with the Thai Clinical Trials Registry (TCTR20250115004).
Setting
Sixty NPs from PCUs in Chiang Rai Province were recruited, with 30 assigned to the comparison group and 30 to the experimental group. Enrollment occurred between August and December 2023. The comparison group completed questionnaires at 3 intervals, each separated by 4 weeks, using Google Forms (Google LLC). The experimental group completed the same questionnaires before the intervention, immediately post-intervention, and at follow-up.
Participants
A total of 60 NPs participated, all having at least 1 year of experience working in PCUs in Chiang Rai, Thailand. Participants were computer literate and had internet access. Initially, 64 NPs expressed interest and met inclusion criteria. Simple random sampling was used to select 60 NPs, evenly divided between experimental and comparison groups (Fig. 2). No participants withdrew during the study.
Interventions
The SNPCOHS program, developed based on a literature review and grounded in the self-efficacy theory by Bandura [8], comprised 10 modules covering key topics such as pesticide fundamentals, occupational health laws, screening and referral, primary care, risk communication, and the role of nurses in occupational health services. A pilot test involved 5 NPs in Phayao Province.
The 4-week program (totaling 10 hours) integrated 4 self-efficacy strategies: enactive mastery, vicarious experience, verbal persuasion, and emotional arousal (Fig. 3). Activities included self-paced e-learning with video clips (Weeks 1–4), post-lesson quizzes (emotional arousal), case-based assignments (Weeks 2–3), and online discussions with peer-sharing and expert feedback (Week 4) (Supplement 1).
Outcome
The outcomes measured included 4 questionnaire subscales: professional attributes, knowledge, skills, and perceived self-efficacy in providing occupational health services at PCUs for agricultural workers exposed to pesticides (Dataset 1).
Data sources/measurement
The instrument consisted of 3 parts: Part 1 included demographic variables: age, gender, marital status, highest educational level, length of work experience after completing an NP short course, and work in PCUs. Part 2 assessed professional attributes (10 items, 5-point Likert scale: 5=highest level of competency to 1=no competency), knowledge (18 true/false items), and skills (21 multiple-choice questions), based on the core competencies for Thai PCU nurses [10] and in-house occupational health service frameworks [5]. Part 3 measured perceived self-efficacy (16 items, 5-point Likert scale: 5=extremely confident to 1=not at all confident), grounded in self-efficacy theory [8] and aligned with the same competency frameworks. Content validity was assessed by 3 experts from occupational health services, toxicology, and occupational health nursing curriculum, yielding a content validity index of 0.97. Reliability was measured using KR-20 for knowledge (0.94) and Cronbach’s α for professional attributes (0.71), skills (0.72), and perceived self-efficacy (0.94).
Bias
Self-selection bias remains a concern due to voluntary participation. However, to minimize selection bias, the researchers tested the differences in baseline characteristics between the experimental and comparison groups, and found that the 2 groups were similar.
Study size
Sample size was calculated using G*Power ver. 3.1 (Heinrich-Heine-Universität Düsseldorf), with a power of 0.80, a significance level of 0.05, and an effect size of 0.933 derived from a prior study’s mean and standard deviation (comparison group: 73.66±13.70; experimental group: 83.12±4.20) [9]. The calculated required sample size was 40 NPs. To account for potential dropout, an additional 50% was recruited, resulting in 60 participants, evenly divided between groups.
Assignment method
The comparison group received basic patient care training from the Ministry of Public Health, identical to the training provided to the experimental group. After the study concluded, the comparison group received the SNPCOHS program.
Blinding (masking)
Blinding was not implemented due to the study’s voluntary nature and feasibility constraints. Data analysis was performed independently at the group level to reduce bias.
Unit of analysis
Data from all participants were analyzed by group.
Statistical methods
This study used IBM SPSS ver. 20.0 (IBM Corp.) for data analysis. Descriptive statistics (mean, standard deviation, frequency, percentage) were calculated to describe general participant characteristics. Group comparisons of age, work experience post-NP training, and PCU experience were performed using the Mann-Whitney U test due to non-normal distributions. Gender, marital status, and highest education were compared using the Fisher exact test, as more than 20% had expected counts less than 5.
The data on professional attributes, knowledge, skills, and perceived self-efficacy of both groups were normally distributed according to the Shapiro-Wilk test (P>0.05). The independent t-test was used to analyze differences in the mean scores between the experimental and comparison groups at each time point. Two-way repeated measures analysis of variance was conducted to examine the mean score of professional attributes, knowledge, skills, and perceived self-efficacy of NPs in providing in-house services across 3 time points: baseline, post-intervention, and follow-up. The assumption of sphericity was tested using the Mauchly test. Results indicated a violation of the sphericity assumption for professional attributes (P≥0.05). Consequently, the Greenhouse-Geisser correction was applied, as the epsilon (ε) value was ≤0.750.
Participants
The study included 60 NPs, with 30 participants in each group. Table 1 presents the demographic characteristics of each group. No statistically significant differences in baseline characteristics were observed between the groups (P>0.05).
Main results
The mean scores for NPs’ competency, including occupational health service professional attributes, knowledge, and skills, and their perceived self-efficacy in delivering in-house occupational health services showed significant differences between the experimental and comparison groups across different time points (P<0.05). Within-group comparisons over time also showed significant changes in both groups (P<0.05) (Table 2).
In the experimental group, the mean scores for professional attributes, knowledge, skills, and perceived self-efficacy were significantly higher at post-intervention and follow-up than at baseline (P<0.05). However, no significant differences were observed between the scores at post-intervention and follow-up. In contrast, the comparison group showed no significant differences in any of the mean scores across time (Table 3).
The analysis of baseline data using the independent t-test revealed no significant differences between the experimental and comparison groups for any of the variables (P≥0.05). However, at both post-intervention and follow-up, the experimental group demonstrated significantly higher mean scores across all variables than the comparison group (P<0.05) (Table 4).
Interpretation
The findings revealed meaningful improvements across 4 key domains—professional attributes, knowledge, skills, and perceived self-efficacy—among NPs providing in-house occupational health services. Specifically, participants demonstrated increased enthusiasm, leadership, and responsibility, indicating a positive shift in attitudes toward occupational health care. These improvements reflect a deeper recognition of nurses’ roles and a greater awareness of occupational risks among agricultural workers, particularly related to pesticide exposure.
In terms of knowledge, NPs gained substantial understanding of key occupational health concepts, such as pesticide safety, disease prevention, and integrating occupational health into routine nursing care. These advancements not only bolstered theoretical comprehension but also facilitated more accurate clinical documentation and informed decision-making, aligning clinical practices with academic and policy standards.
Skill development was evident in improved abilities for health promotion, inter-organizational collaboration, and effective communication regarding occupational risks. Nurses developed greater proficiency in coordinating with other sectors and conducting occupational health-related research, essential steps toward establishing comprehensive, community-based occupational health service models.
Perhaps most significantly, NPs reported increased confidence in delivering occupational health services. This increased self-efficacy suggests that training and practical experience empowered NPs to adopt more proactive roles, reinforcing the sustainable integration of occupational health services in primary care settings.
These changes are important because they directly support the expansion and effectiveness of occupational health services at the primary care level, in alignment with public health policies. They also reflect progress in building a workforce capable of addressing the complex needs of vulnerable working populations, ultimately contributing to the broader development of the occupational health system.
Comparison with previous relevant studies
This study observed immediate and sustained improvements in professional attributes, knowledge, skills, and self-efficacy among NPs participating in the SNPCOHS program delivered via online learning. Unlike prior research indicating that onsite training did not significantly improve professional attributes [11], these findings suggest online learning—providing flexibility and repeated access—may better facilitate professional growth. Similarly, blended learning approaches combining e-learning with interactive elements like case studies and peer discussions have been more effective than traditional methods in enhancing nurses’ knowledge and skills [12]. Additionally, the increased self-efficacy observed aligns with previous studies highlighting the positive impact of social support from supervisors and colleagues on practitioners’ confidence [13].
Limitations
The voluntary participation of NPs introduces the potential risk of self-selection bias, possibly affecting the generalizability of results. However, volunteers were not systematically different from non-volunteers regarding baseline occupational health knowledge, job responsibilities, or work locations. Additionally, current Ministry of Public Health policies in Thailand do not support occupational health training for primary care nurses, restricting such opportunities primarily to nurses in secondary or higher healthcare settings.
Generalizability
The study’s limited timeframe and inclusion of participants from a single province may limit its generalizability to NPs across the broader national context.
Suggestions
Outcomes (professional attributes, knowledge, skills) were not analyzed separately according to each of the 4 core competencies (interpersonal relationships, care management, integrated healthcare service, professional accountability). Future studies should assess outcomes separately for each competency to provide clearer evaluations.
Implications
The SNPCOHS program can be effectively integrated into educational curricula to enhance occupational health competencies among healthcare personnel, especially in Southeast Asian countries or regions heavily reliant on agriculture and extensive pesticide use. Providing targeted education to healthcare workers, particularly nurses, can significantly improve occupational health services for agricultural workers exposed to pesticides at PCUs.
Conclusion
The findings highlight the potential of the SNPCOHS program as a scalable model for enhancing occupational health competencies within PCUs. By equipping NPs with essential skills and confidence, the program addresses critical gaps in community-based occupational healthcare for underserved agricultural populations. The findings support investment in flexible, self-directed e-learning platforms as a strategy for strengthening public health workforces. Future research should explore sustainable and expansive interventions to facilitate long-term systemic improvements in occupational healthcare delivery.

Authors’ contributions

Conceptualization: NP, AJ, SK, SS. Methodology: NP, AJ, SK, SS. Project administration: NP, AJ, SK, SS. Data curation: NP, AJ. Formal analysis: NP, AJ. Investigation: NP, AJ. Writing–original draft: AJ, NP. Writing–review & editing: NP, AJ, SK, SS.

Conflict of interest

No potential conflict of interest relevant to this article was reported.

Funding

The study was supported for research funding partially funded by the Faculty of Graduate Studies and Graduate Studies of Mahidol University Alumni Association, Mahidol University, Thailand, and Foundation Mondharoph Kamalsna. Also, the study was supported for publication by the Faculty of Public Health, Mahidol University, Thailand.

Data availability

Data files are available from Harvard Dataverse:

Dataset 1. The response data from participants.

jeehp-22-14-dataset1.xlsx

Acknowledgments

None.

Supplementary files are available from Harvard Dataverse:
Supplement 1. The detail and content of the strengthening nurse practitioners’ competency in the occupational health service program.
jeehp-22-14-suppl1.docx
Supplement 2. Audio recording of the abstract.
jeehp-22-14-abstract-recording.avi
Fig. 1.
Conceptual framework. SNPCOHS, Strengthening Nurse Practitioners’ Competency in Occupational Health Service; NP, nurse practitioner; PCU, primary care unit.
jeehp-22-14f1.tif
Fig. 2.
Flow diagram of participants for allocation.
jeehp-22-14f2.tif
Fig. 3.
Example of activities applying 4 methods based on self-efficacy theory.
jeehp-22-14f3.tif
Table 1.
Demographic characteristics of the experimental and comparison groups
Characteristic Experimental group (n=30) Comparison group (n=30) P-value
Age (yr) 45.70±8.24 43.83±9.03 0.21a)
Gender 1.00b)
 Male 1 (3.33) 1 (3.33)
 Female 29 (96.67) 29 (96.67)
Marital status 0.51b)
 Single 4 (13.33) 6 (20.00)
 Married 21 (70.00) 22 (73.33)
 Separate 5 (16.77) 2 (6.77)
Highest education level 1.00b)
 Bachelor’s degree 27 (90.00) 27 (90.00)
 Master’s degree 3 (10.00) 3 (10.00)
Work experience after completing NP short course (yr) 9.67±4.87 7.87±5.42 0.21a)
Work experience in PCU (yr) 20.23±10.17 16.40±10.94 0.19a)

Values are presented as mean±standard deviation or number (%).

NP, nurse practitioner; PCU, primary care unit.

a) By Mann-Whitney U test.

b) By Fisher exact test.

Table 2.
Differences in mean scores according to group, time, and between groups across different time points
Variable SS df MS F P-value
In-house occupational health services professional attributes of NPsa)
 Group 233.47 1 233.47 4.29 <0.05
 Error (group) 1,579.36 29 54.46
 Time 166.80 1.48 112.81 20.51 <0.001
 Error (time) 235.87 42.88 5.50
 Group*time 128.84 1.59 80.96 19.08 <0.001
 Error (group*time) 195.82 46.15 4.24
In-house occupational health services knowledge of NPs
 Group 131.76 1 131.76 21.36 <0.001
 Error (group) 178.91 29 6.17
 Time 258.70 2 129.35 63.24 <0.001
 Error (time) 118.63 58 2.05
 Group*time 152.14 2 75.07 36.41 <0.001
 Error (group*time) 121.19 58 2.09
In-house occupational health services skills of NPs
 Group 66.01 1 66.01 10.28 <0.05
 Error (group) 186.16 29 6.42
 Time 53.73 2 26.87 6.07 <0.05
 Error (time) 256.93 58 4.43
 Group*time 24.84 2 12.42 3.27 <0.05
 Error (group*time) 220.49 58 3.80
In-house occupational health services self-efficacy of NPs
 Group 616.05 1 616.05 3.89 <0.05
 Error (group) 4,598.45 29 158.57
 Time 259.74 2 129.87 3.97 <0.05
 Error (time) 1,859.26 58 32.68
 Group*time 810.70 2 405.35 15.26 <0.001
 Error (group*time) 1,540.30 58 26.56

SS, sum-of-squares; df, degrees of freedom; MS, mean square; NP, nurse practitioner.

a) P-value was calculated using the Greenhouse-Geisser method.

Table 3.
Comparison of the mean differences in outcomes of the intervention group between baseline, week 4, and week 8
Data Experimental group
Comparison group
MD±SD P-value MD±SD P-value
In-house occupational health services professional attributes of NPs
 Week 4–baseline 4.200±0.466 <0.001 0.400±0.344 0.765
 Week 8–baseline 3.267±0.589 <0.001 –0.670±0.650 1.000
 Week 8–week 4 –0.933±0.335 0.280 –0.467±0.520 1.000
In-house occupational health services knowledge of NPs
 Week 4–baseline 3.433±0.525 <0.001 0.333±0.211 0.374
 Week 8–baseline 5.100±0.497 <0.001 0.700±0.236 0.018
 Week 8–week 4 1.667±0.366 <0.001 0.367±0.242 0.422
In-house occupational health services skills of NPs
 Week 4–baseline 1.367±0.497 0.031 –0.130±0.400 1.000
 Week 8–baseline 2.167±0.800 0.015 0.500±0.469 0.886
 Week 8–week 4 0.800±0.537 0.441 0.633±0.471 0.567
In-house occupational health services self-efficacy of NPs
 Week 4–baseline 6.900±1.573 <0.001 –3.000±1.151 0.043
 Week 8–baseline 6.733±1.262 <0.001 –0.967±1.549 1.000
 Week 8–week 4 –0.167±1.287 1.000 2.033±1.550 0.599

Adjustment for multiple comparisons using the Bonferroni method.

MD, mean difference; SD, standard deviation; NP, nurse practitioner.

Table 4.
Differences in outcomes between the experimental and comparison groups
Data Experimental group
Comparison group
P-value
Mean±SD Min–max Mean±SD Min–max
In-house occupational health services professional attributes of NPs
 Baseline 40.00±3.16 32–48 40.10±4.49 30–50 0.921
 Week 4 44.20±3.66 35–50 40.50±4.99 32–51 0.002
 Week 8 43.27±3.89 33–50 40.03±5.77 27–49 0.014
In-house occupational health services knowledge of NPs
 Baseline 9.03±1.75 6–13 9.80±1.47 7–13 0.072
 Week 4 12.47±1.99 9–16 10.13±1.48 7–12 <0.001
 Week 8 14.13±1.98 9–17 10.50±1.36 8–12 <0.001
In-house occupational health services skills of NPs
 Baseline 9.60±2.39 3–14 9.43±2.27 5–15 0.783
 Week 4 10.97±2.62 4–15 9.30±1.75 6–13 0.006
 Week 8 11.77±2.64 4–16 9.93±2.70 5–15 0.010
In-house occupational health services self-efficacy of NPs
 Baseline 60.23±7.14 41–71 62.40±8.40 46–78 0.286
 Week 4 67.13±5.41 57–78 59.40±9.91 43–80 <0.001
 Week 8 66.97±7.66 48–80 61.43±9.41 35–80 0.015

By independent t-test.

SD, standard deviation; NP, nurse practitioner.

Figure & Data

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      The effect of strengthening nurse practitioners’ competency in occupational health services for agricultural workers exposed to pesticides in primary care units, Thailand: a before-and-after study
      Image Image Image
      Fig. 1. Conceptual framework. SNPCOHS, Strengthening Nurse Practitioners’ Competency in Occupational Health Service; NP, nurse practitioner; PCU, primary care unit.
      Fig. 2. Flow diagram of participants for allocation.
      Fig. 3. Example of activities applying 4 methods based on self-efficacy theory.
      The effect of strengthening nurse practitioners’ competency in occupational health services for agricultural workers exposed to pesticides in primary care units, Thailand: a before-and-after study
      Characteristic Experimental group (n=30) Comparison group (n=30) P-value
      Age (yr) 45.70±8.24 43.83±9.03 0.21a)
      Gender 1.00b)
       Male 1 (3.33) 1 (3.33)
       Female 29 (96.67) 29 (96.67)
      Marital status 0.51b)
       Single 4 (13.33) 6 (20.00)
       Married 21 (70.00) 22 (73.33)
       Separate 5 (16.77) 2 (6.77)
      Highest education level 1.00b)
       Bachelor’s degree 27 (90.00) 27 (90.00)
       Master’s degree 3 (10.00) 3 (10.00)
      Work experience after completing NP short course (yr) 9.67±4.87 7.87±5.42 0.21a)
      Work experience in PCU (yr) 20.23±10.17 16.40±10.94 0.19a)
      Variable SS df MS F P-value
      In-house occupational health services professional attributes of NPsa)
       Group 233.47 1 233.47 4.29 <0.05
       Error (group) 1,579.36 29 54.46
       Time 166.80 1.48 112.81 20.51 <0.001
       Error (time) 235.87 42.88 5.50
       Group*time 128.84 1.59 80.96 19.08 <0.001
       Error (group*time) 195.82 46.15 4.24
      In-house occupational health services knowledge of NPs
       Group 131.76 1 131.76 21.36 <0.001
       Error (group) 178.91 29 6.17
       Time 258.70 2 129.35 63.24 <0.001
       Error (time) 118.63 58 2.05
       Group*time 152.14 2 75.07 36.41 <0.001
       Error (group*time) 121.19 58 2.09
      In-house occupational health services skills of NPs
       Group 66.01 1 66.01 10.28 <0.05
       Error (group) 186.16 29 6.42
       Time 53.73 2 26.87 6.07 <0.05
       Error (time) 256.93 58 4.43
       Group*time 24.84 2 12.42 3.27 <0.05
       Error (group*time) 220.49 58 3.80
      In-house occupational health services self-efficacy of NPs
       Group 616.05 1 616.05 3.89 <0.05
       Error (group) 4,598.45 29 158.57
       Time 259.74 2 129.87 3.97 <0.05
       Error (time) 1,859.26 58 32.68
       Group*time 810.70 2 405.35 15.26 <0.001
       Error (group*time) 1,540.30 58 26.56
      Data Experimental group
      Comparison group
      MD±SD P-value MD±SD P-value
      In-house occupational health services professional attributes of NPs
       Week 4–baseline 4.200±0.466 <0.001 0.400±0.344 0.765
       Week 8–baseline 3.267±0.589 <0.001 –0.670±0.650 1.000
       Week 8–week 4 –0.933±0.335 0.280 –0.467±0.520 1.000
      In-house occupational health services knowledge of NPs
       Week 4–baseline 3.433±0.525 <0.001 0.333±0.211 0.374
       Week 8–baseline 5.100±0.497 <0.001 0.700±0.236 0.018
       Week 8–week 4 1.667±0.366 <0.001 0.367±0.242 0.422
      In-house occupational health services skills of NPs
       Week 4–baseline 1.367±0.497 0.031 –0.130±0.400 1.000
       Week 8–baseline 2.167±0.800 0.015 0.500±0.469 0.886
       Week 8–week 4 0.800±0.537 0.441 0.633±0.471 0.567
      In-house occupational health services self-efficacy of NPs
       Week 4–baseline 6.900±1.573 <0.001 –3.000±1.151 0.043
       Week 8–baseline 6.733±1.262 <0.001 –0.967±1.549 1.000
       Week 8–week 4 –0.167±1.287 1.000 2.033±1.550 0.599
      Data Experimental group
      Comparison group
      P-value
      Mean±SD Min–max Mean±SD Min–max
      In-house occupational health services professional attributes of NPs
       Baseline 40.00±3.16 32–48 40.10±4.49 30–50 0.921
       Week 4 44.20±3.66 35–50 40.50±4.99 32–51 0.002
       Week 8 43.27±3.89 33–50 40.03±5.77 27–49 0.014
      In-house occupational health services knowledge of NPs
       Baseline 9.03±1.75 6–13 9.80±1.47 7–13 0.072
       Week 4 12.47±1.99 9–16 10.13±1.48 7–12 <0.001
       Week 8 14.13±1.98 9–17 10.50±1.36 8–12 <0.001
      In-house occupational health services skills of NPs
       Baseline 9.60±2.39 3–14 9.43±2.27 5–15 0.783
       Week 4 10.97±2.62 4–15 9.30±1.75 6–13 0.006
       Week 8 11.77±2.64 4–16 9.93±2.70 5–15 0.010
      In-house occupational health services self-efficacy of NPs
       Baseline 60.23±7.14 41–71 62.40±8.40 46–78 0.286
       Week 4 67.13±5.41 57–78 59.40±9.91 43–80 <0.001
       Week 8 66.97±7.66 48–80 61.43±9.41 35–80 0.015
      Table 1. Demographic characteristics of the experimental and comparison groups

      Values are presented as mean±standard deviation or number (%).

      NP, nurse practitioner; PCU, primary care unit.

      By Mann-Whitney U test.

      By Fisher exact test.

      Table 2. Differences in mean scores according to group, time, and between groups across different time points

      SS, sum-of-squares; df, degrees of freedom; MS, mean square; NP, nurse practitioner.

      P-value was calculated using the Greenhouse-Geisser method.

      Table 3. Comparison of the mean differences in outcomes of the intervention group between baseline, week 4, and week 8

      Adjustment for multiple comparisons using the Bonferroni method.

      MD, mean difference; SD, standard deviation; NP, nurse practitioner.

      Table 4. Differences in outcomes between the experimental and comparison groups

      By independent t-test.

      SD, standard deviation; NP, nurse practitioner.


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