Development and validation of a rating scale for barriers to and facilitators of nurses' participation intentions in "Internet + Nursing Service".
Confirmatory factor analysis
Exploratory factor analysis
Internet + nursing services
Nurses
Scale
Journal
BMC nursing
ISSN: 1472-6955
Titre abrégé: BMC Nurs
Pays: England
ID NLM: 101088683
Informations de publication
Date de publication:
13 Aug 2024
13 Aug 2024
Historique:
received:
06
06
2023
accepted:
01
08
2024
medline:
13
8
2024
pubmed:
13
8
2024
entrez:
12
8
2024
Statut:
epublish
Résumé
Given increases in China's aging population, the growing demand for public health services and the shortage of human resources among nurses have become more prominent. Under such a background, "Internet + Nursing Services" have received more attention. Thus, exploring the barriers to and facilitators of nurses' willingness to participate in "Internet + Nursing Services" and utilizing internet technology to increase the supply of nursing services has become a key issue. This study aimed to develop a scale for assessing the barriers to and facilitators of nurses' willingness to participate in "Internet + Nursing Services" and to test the validity and reliability of the scale. A preliminary scale was developed based on a literature review, theoretical research, semistructured qualitative interviews, and two rounds of Delphi expert inquiry. A convenient sampling method was used for the questionnaire survey. A 5-point Likert scale was used to evaluate the importance of the items. The survey data of 659 clinical nurses obtained from February to March 2023 were used for item analysis, exploratory factor analysis (EFA), and reliability and validity tests of the scale. The survey data of 538 clinical nurses obtained in April 2023 were used for confirmatory factor analysis (CFA) of the final scale. The final scale consists of 25 items and 4 dimensions (performance expectations, perceived risk, need for professional knowledge training, and nonprofessional knowledge training). The scale showed good structural validity and content validity: the Cronbach's α coefficient of the scale was 0.955, the split-half reliability was 0.778, the test-retest reliability was 0.944, the kaiser-meyer-olkin(KMO) value was 0.960, and the cumulative variance contribution rate of the 4 common factors was 83.147%. The scale content validity index(S-CVI) was 0.914. The confirmatory factor analysis model had favorable fit indices: χ The scale for assessing the barriers to and facilitators of nurses' willingness to participate in "Internet + Nursing Services" has good reliability and validity, and provides a reference for evaluating nurses' willingness to participate in "Internet + Nursing Services".
Sections du résumé
BACKGROUND
BACKGROUND
Given increases in China's aging population, the growing demand for public health services and the shortage of human resources among nurses have become more prominent. Under such a background, "Internet + Nursing Services" have received more attention. Thus, exploring the barriers to and facilitators of nurses' willingness to participate in "Internet + Nursing Services" and utilizing internet technology to increase the supply of nursing services has become a key issue.
OBJECTIVE
OBJECTIVE
This study aimed to develop a scale for assessing the barriers to and facilitators of nurses' willingness to participate in "Internet + Nursing Services" and to test the validity and reliability of the scale.
METHODS
METHODS
A preliminary scale was developed based on a literature review, theoretical research, semistructured qualitative interviews, and two rounds of Delphi expert inquiry. A convenient sampling method was used for the questionnaire survey. A 5-point Likert scale was used to evaluate the importance of the items. The survey data of 659 clinical nurses obtained from February to March 2023 were used for item analysis, exploratory factor analysis (EFA), and reliability and validity tests of the scale. The survey data of 538 clinical nurses obtained in April 2023 were used for confirmatory factor analysis (CFA) of the final scale.
RESULTS
RESULTS
The final scale consists of 25 items and 4 dimensions (performance expectations, perceived risk, need for professional knowledge training, and nonprofessional knowledge training). The scale showed good structural validity and content validity: the Cronbach's α coefficient of the scale was 0.955, the split-half reliability was 0.778, the test-retest reliability was 0.944, the kaiser-meyer-olkin(KMO) value was 0.960, and the cumulative variance contribution rate of the 4 common factors was 83.147%. The scale content validity index(S-CVI) was 0.914. The confirmatory factor analysis model had favorable fit indices: χ
CONCLUSION
CONCLUSIONS
The scale for assessing the barriers to and facilitators of nurses' willingness to participate in "Internet + Nursing Services" has good reliability and validity, and provides a reference for evaluating nurses' willingness to participate in "Internet + Nursing Services".
Identifiants
pubmed: 39135197
doi: 10.1186/s12912-024-02215-1
pii: 10.1186/s12912-024-02215-1
doi:
Types de publication
Journal Article
Langues
eng
Pagination
559Informations de copyright
© 2024. The Author(s).
Références
Announcement of the Seventh National Population Census of China. (No. 6) [EB/OL]. https://www.gov.cn/xinwen/2021-05/11/content_5605789.htm
Cheng LH, Song YL, Fang XP, et al. Analysis of the allocation of nursing human resources in China based on rank sum ratio method. Chin Hosp Manage. 2019;39(2):74–6.
Gong Y, Zhou J, Ding F. Investigating the demands for mobile internet based home nursing services for the elderly. J Investig Med 2022 Marm, 70(3): 844–52. https://doi.org/10.1136/jim-2021-002118
Alam MZ, Hoque MR, Hu W, Barua Z. Factors influencing the adoption of mHealth services in a developing country: a patient-centric study. Int J Inf Manage. 2020;50:128–43. https://doi.org/10.1016/j.ijinfomgt.2019.04.016] . [doi:.
doi: 10.1016/j.ijinfomgt.2019.04.016]
Tian YT, Zhang Y, Hou XH, et al. Research on the construction and application of internet nursing service platform. Chin J Nurs. 2020;55(10):1537–42. https://doi.org/10.3761/j.issn.0254-1769.2020.10.017
doi: 10.3761/j.issn.0254-1769.2020.10.017
Wu XJ. Status quo and thinking on the cross-age development of internet + nursing service’’ in China. J Nurs Adm. 2020;20(05):305–8. https://doi.org/10.3969/j.issn.l671-315x.2020.05.001
doi: 10.3969/j.issn.l671-315x.2020.05.001
Wu XJ. Status quo and thinking on the cross-age development of internet + nursing service in China. J Nurs Adm. 2020;20(5):305. https://doi.org/10.3870/j.issn.1001-4152.2022.06.088
doi: 10.3870/j.issn.1001-4152.2022.06.088
National Health Commission of the People’s Republic of China. Notice of the General Office of the National Health Commission on Further Promoting the. Pilot Work of Internet plus Nursing Service (GBYH [2020] No. 985) [EB/OL].(2020 ~ 12–14)[2021-09 ~ 07]. https://www.gov.cn/zhengce/zhengceku/2020-12/16/content_5569982.htm
Hu BC. Nurses have an important role in internet + nursing services. Chin Nurs Manage. 2021;21(05):652–5. https://doi.org/10.3969/j.issn.1672-1756.2021.05.004
doi: 10.3969/j.issn.1672-1756.2021.05.004
Ajzen I, Fishbein M. Understanding attitudes and predicting social behavior. New Jersey: Prentice-Hall; 1980.
Cao XF, Ning ZP, Hou YH. Influencing factors of patients’ adoption intention toward online medical services: a meta-analysis. Chin J Evidence-based Med. 2022;22(03):316–23. https://doi.org/10.7507/1672-2531.202110144
doi: 10.7507/1672-2531.202110144
Venkatesh V, Thong JYL. Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS Q. 2012;36(1):157–78. https://doi.org/10.2307/41410412
doi: 10.2307/41410412
Venkatesh V, Morris MG, Davis GB, et al. User acceptance of information technology: toward a unified view. MIS Q. 2003;27(3):425–78. https://doi.org/10.2307/30036540
doi: 10.2307/30036540
Tian F, Xi ZY, Ai L, et al. Investigation on nurses’ willingness to internet + Nursing Service and analysis of influencing factors. J Multidiscip Healthc. 2023;16:251–60. https://doi.org/10.2147/JMDH.S396826
doi: 10.2147/JMDH.S396826
Han MD, Zhao ML, Zhang XW, et al. Investigatiwi on nurses, knowledge of and willingness to participate in Internet plus nursing service. J Nurs Sci. 2020;35(04):53–6. 10.3870/j. issn.1001-4152.2020.04.053.
doi: 10.3870/j.issn.1001-4152.2020.04.053
Ju YY, Gao WJ. Survey on willingness of nurses to participate in Internet plus nursing service: the influencing factors. J Nurs Sci. 2022;37(06):88–91. https://doi.org/10.3870/j.issn.1001-4152.2022.06.088
doi: 10.3870/j.issn.1001-4152.2022.06.088
He XF, Wu ZH, Yang DY, et al. Willingness of nurses in Guangzhou and Foshan to internet + Nursing Service and its influencing factors. Chin J Mod Nurs. 2020;26(29):4047–52. https://doi.org/10.3760/cma.j.cnl15682-20191227-04812
doi: 10.3760/cma.j.cnl15682-20191227-04812
Bu W, Xing L, Xiao M, et al. A Survey on the willingness of Ganzhou residents to participate in internet + nursing services and Associated factors. J Multidiscip Healthc. 2022;15:897–906. https://doi.org/10.2147/JMDH.S351071
doi: 10.2147/JMDH.S351071
Ma G, Peng HJ. Nurses’ willingness and demand for internet + home care services and its influencing factors in different levels of hospitals in China - A Nationwide Survey. Risk Manag Healthc Policy. 2022;15:1395–405. https://doi.org/10.2147/RMHP.S367412
doi: 10.2147/RMHP.S367412
Liu M. Using an example to illustrate Colaizzi’s phenomenological data analysis method[J]. J Nurs Sci. 2019;34(11):90–2.
Mccoach DB, Gable RK, Madura JP. Instrument Development in the Affective Domain [M]. New York:Springer, 2013: 33–90.
Wu ML. Questionnaire Statistical Analysis Practice: SPSS Operation and Application[M]. Chongqing: Chongqing University; 2010. pp. 483–90.
Liu Yun T, Min W. Development and psychometric testing of knowledge-belief-practice questionnaire for nurses to promote physical activity in Cancer survivors. J Nurs. 2022;29(23):7–12. https://doi.org/10.16460/j.issn1008-9969.2022.23.007
doi: 10.16460/j.issn1008-9969.2022.23.007
The Central Committee of the Communist Party of China, The State Council. China eyes life expectancy of 79 in 2030 health plan. 2016-10-25. http://www.gov.cn/xinwen/2016-10/25/content_5124174.htm
Huang YS, Yuan CR, Song XP, et al. Development status of internet + nursing service. Chin Nurs Res. 2020;34(08):1388–93. 10.12102/j. issn.1009-6493.2020.08.016.
doi: 10.12102/j.issn.1009-6493.2020.08.016
Zhao B, Zhang X, Huang R, Yi M et al. Barriers to accessing internet-based home care for older patients: a qualitative study. BMC Geriatr 2021 Oct 18, 21(1): 565. https://doi.org/10.1186/s12877-021-02474-6
Sheikhtaheri A, Taheri Moghadam S. Challenges and Facilitators of Using Smartphones in Educational Activities: Medical and Nursing Students’ Perspective. Stud Health Technol Inf. 2022 May;16(293):234–41. https://doi.org/10.3233/SHTI220375
Ju YY, Gao WJ, Shen GD. Survey on willingness of nurses to participate in Internet plus nursing service. J Nurs Sci. 2022;37(06):88–91. https://doi.org/10.3870/j.issn.1001-4152.2022.06.08
doi: 10.3870/j.issn.1001-4152.2022.06.08
Zheng RC. Psychological measurement and Testing[M]. Bei jing: Renmin University of China; 2013.
Eisinga R, Te Grotenhuis M, Pelzer B. The reliability of a two-item scale: Pearson, Cronbach, or Spearman-Brown? Int J Public Health. 2013;58(4):637–42. https://doi.org/10.1007/s00038-012-0416-3
doi: 10.1007/s00038-012-0416-3
Hu P, Lu H, Ma ZC. Feasibility and Condition of Allowable Error Correlation in Confirmatory Factor Analysis. Stat Decis. 2018;34(19):37–41. https://doi.org/10.13546/j.cnki.tjyjc.2018.19.008
doi: 10.13546/j.cnki.tjyjc.2018.19.008
Shi JC, Mo XK, Sun ZQ. Content validity index in scale development. J Cent South Univ (Med Sci). 2012;37(2):49–52. https://doi.org/10.3969/j.issn.1672-7347.2012.02.007
doi: 10.3969/j.issn.1672-7347.2012.02.007
Kim ES, Wang Y, Kiefer SM. Cross-level group measurement invariance when groups are at different levels of multilevel data. Educ Psychol Meas. 2018;78(6):973–97. https://doi.org/10.1177/0013164417739062
doi: 10.1177/0013164417739062
Hamrick LR, Haney AM, Kelleher BL, Lane SP. Using generalizability theory to evaluate the comparative reliability of developmental measures in neurogenetic syndrome and low-risk populations. J Neurodev Disord. 2020;12(1):16. https://doi.org/10.1186/s11689-020-09318-1
doi: 10.1186/s11689-020-09318-1