Family and Community Health Nurses (FCHNs) are at a higher risk of experiencing emotional exhaustion and feelings of low personal accomplishment. Higher levels of professional identity may decrease these negative feelings. Its measurement could produce positive effects for FCHNs and the quality of care they offer.
Aim
This study aims to evaluate the psychometric properties (validity and reliability) of the Nurses Professional Values Scale-Revised (NPVS-R) on FCHNs in Italy.
Research design
A cross-sectional research design was used.
Participants and research context
A convenience sample of FCHNs was recruited in an out-of-hospital setting from Italy. A total of 202 nurses were eligible (mean age of 41.11 ± 10.55 years; 78.2% female).
Ethical considerations
The study was performed in accordance with the World Medical Association Declaration of Helsinki. Participants were asked for their consent and were guaranteed anonymity in the information collected. The study was approved by the internal review board of the university.
Results
Confirmatory Factor Analysis (CFA) supported a unidimensional factorial structure of the NPVS-R with an adequate fit to the data. Internal consistency reliability was also supported. The construct validity was further reinforced by the concurrent validity results showing a positive and significant correlation of professional identity with job satisfaction.
Conclusion
The NPVS-R is a valid and reliable instrument to measure professional identity among FCHNs. It can be used in clinical practice to improve FCHNs’ psychological-emotional feelings and quality of care provided, in research to allow comprehensive understanding of professional identity, and in educational settings to monitor the professional identity levels of Family and Community Health Nursing students.
FitzgeraldA. Professional identity: a concept analysis. Nurs Forum2020; 55(3): 447–472.
2.
SabanciogullariSDoganS. Effects of the professional identity development programme on the professional identity, job satisfaction and burnout levels of nurses: a pilot study. Int J Nurs Pract2015; 21(6): 847–857.
3.
HainesVYSabaT. Challenges to professional identities and emotional exhaustion. Career Dev Int2012; 17(2): 120–136.
4.
CowinLSJohnsonMCravenRG, et al.Causal modeling of self-concept, job satisfaction, and retention of nurses. Int J Nurs Stud2008; 45(10): 1449–1459.
5.
KabeelARAMosa EisaSEM. Relationship between job satisfaction and professional identity among psychiatric nurses. Egypt Nurs J2017; 14(1): 9.
6.
LiLGanYYangY, et al.Analysis on professional identity and related factors among Chinese general practitioners: a national cross-sectional study. BMC Fam Pract2020; 21(1): 80.
7.
ZhangTShenXLiuR, et al.The impact of COVID-19 on primary health care and antibiotic prescribing in rural China: qualitative study. BMC Health Serv Res2021; 21(1): 1048.
8.
ChengFMengAFJinT. Correlation between burnout and professional value in Chinese oncology nurses: a questionnaire survey. Int J Nurs Sci2015; 2(2): 153–157.
9.
JiangHHuangNJiangX, et al.Factors related to job burnout among older nurses in Guizhou province, China. PeerJ2021; 9: e12333.
10.
RenZZhangXLiX, et al.Relationships of organisational justice, psychological capital and professional identity with job burnout among Chinese nurses: a cross-sectional study. J Clin Nurs2021; 30(19–20): 2912–2923.
11.
WangHJinYWangD, et al.Job satisfaction, burnout, and turnover intention among primary care providers in rural China: results from structural equation modeling. BMC Fam Pract2020; 21(1): 12.
12.
KabirMJHeidariAEtemadK, et al.Job burnout, job satisfaction, and related factors among health care workers in Golestan Province, Iran. Electron Physician2016; 8(9): 2924–2930.
13.
SafariI. A study on the relationship between burnout and job satisfaction of Iranian EFL teachers working in universities and schools. ERIES J2020; 13(4): 164–173.
14.
MaorRHemiA. Relationships between role stress, professional identity, and burnout among contemporary school counselors. Psychol Sch2021; 58(8): 1597–1610.
15.
Dall’OraCBallJReiniusM, et al.Burnout in nursing: a theoretical review. Hum Resour Health2020; 18(1): 1–17.
16.
Monsalve-ReyesCSSan Luis-CostasCGómez-UrquizaJL, et al.Burnout syndrome and its prevalence in primary care nursing: a systematic review and meta-analysis. BMC Fam Pract2018; 19(1): 1–7.
17.
WrightTMughalFBabatundeOO, et al.Burnout among primary health-care professionals in low- and middle-income countries: systematic review and meta-analysis. Bull World Health Organ2022; 100(6): 385–401A.
18.
Pérez-FranciscoDHDuarte-ClímentsGDel Rosario-MeliánJM, et al.Influence of workload on primary care nurses’ health and burnout, patients’ safety, and quality of care: integrative review. Health2020; 8(1): 12.
19.
World Health Organization. Munich declaration: nurses and midwives: a force for health. Geneva: World Health Organization, Regional Office for Europe, 2000.
20.
World Health Organization. The global burden of disease: 2004 update[Internet]. Geneva: World Health Organization, 2008. Available from: https://apps.who.int/iris/handle/10665/43942
WeisDSchankMJ. Development and psychometric evaluation of the nurses professional values scale--revised. J Nurs Meas2009; 17(3): 221–231.
23.
American Nurses Association. Code of ethics for nurses with interpretive statements. Maryland, USA: Silver Spring, 2015.
24.
International Council of Nurses. The ICN code of ethics for nurses, 2021 revised. Geneva, Switzerland: International Council of Nurses, 2021.
25.
CowinLSJohnsonMWilsonI, et al.The psychometric properties of five professional identity measures in a sample of nursing students. Nurse Educ Today2013; 33(6): 608–613.
26.
MatthewsJBialocerkowskiAMolineuxM. Professional identity measures for student health professionals - a systematic review of psychometric properties. BMC Med Educ2019; 19(1): 308–310.
27.
AkmaneEMārtinsoneKKrieķeZ. Instruments for measuring the professional identity of psychological help providers: rapid literature review. Educ Innov Divers2020; 1(1): 6–15.
28.
GeçkilEEgeEAkinB, et al.Turkish version of the revised nursing professional values scale: validity and reliability assessment. Jpn J Nurs Sci2012; 9(2): 195–200.
29.
LinYHWangLS. A Chinese version of the revised nurses professional values scale: reliability and validity assessment. Nurse Educ Today2010; 30(6): 492–498.
30.
ÖzsoySADönmezRÖ. Nurses professional values scale-revised: psychometric properties of the Turkish version. Nurs Pract Today2015; 2(1): 16–24.
31.
HosseiniFZarshenasLParvanK, et al.Psychometric properties of nurses professional values scale-revised: an Iranian version. Res Square2020. DOI: 10.21203/rs.3.rs-38280/v1.
32.
MoonSKimDHKimEJ, et al.Evaluation of the validity and reliability of the Korean version of the nursing professional values scale-revised. Nurse Educ Today2014; 34(3): 325–330.
33.
RassinM. Nurses’ professional and personal values. Nurs Ethics2008; 15(5): 614–630.
34.
ten HoeveYJansenGRoodbolP. The nursing profession: public image, self-concept and professional identity. A discussion paper. J Adv Nurs2014; 70(2): 295–309.
35.
AllariRS. Nursing professional values scale: psychometric properties of Arabic version. Int J Recent Sci Res2016; 7(9): 13240–13244.
36.
NocerinoRChiariniMMarinaM. Nurse professional identity: validation of the Italian version of the questionnaire nurse professional values scale-revised. Clin Ter2020; 171(2): E114–E119.
37.
Basurto HoyuelosSFraileCLWeisD, et al.Nursing professional values: validation of a scale in a Spanish context. Nurse Educ Today2010; 30(2): 107–112.
38.
World Health Organization. The family health nurse: context, conceptual framework and curriculum. Geneva: World Health Organization, Regional Office for Europe, 2000.
39.
TerweeCBBotSDde BoerMR, et al.Quality criteria were proposed for measurement properties of health status questionnaires. J Clin Epidemiol2007; 60(1): 34–42.
40.
TerweeCBMokkinkLBKnolDL, et al.Rating the methodological quality in systematic reviews of studies on measurement properties: a scoring system for the COSMIN checklist. Qual Life Res2012; 21(4): 651–657.
41.
LyneJBarrettPT. EWQ: organisational and employee well-being assessment. Psytech International, 2012.
42.
SilvaWRBonaféFSSMarôcoJ, et al.Psychometric properties of the World Health Organization quality of life instrument-abbreviated version in Portuguese-speaking adults from three different countries. Trends Psychiatry Psychother2018; 40(2): 104–113.
43.
CrawfordAVGreenSBLevyR, et al.Evaluation of parallel analysis methods for determining the number of factors. Educ Psychol Meas2010; 70(6): 885–901.
44.
GlorfeldLW. An improvement on horn’s parallel analysis methodology for selecting the correct number of factors to retain. Educ Psychol Meas1995; 55(3): 377–393.
45.
HornJL. A rationale and test for the number of factors in factor analysis. Psychometrika1965; 30(2): 179–185.
46.
TimmermanMELorenzo-SevaU. Dimensionality assessment of ordered polytomous items with parallel analysis. Psychol Methods2011; 16(2): 209–220.
47.
ByrneBM. Structural equation modeling with Mplus: basic concepts, applications, and programming. Oxfordshire: Routledge, 2013.
FloraDBCurranPJ. An empirical evaluation of alternative methods of estimation for confirmatory factor analysis with ordinal data. Psychol Methods2004; 9(4): 466–491.
50.
HuLTBentlerPM. Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct Equ Model1999; 6(1): 1–55.
51.
ByrneBM. Structural equation modeling with EQS: basic concepts, applications, and programming. 2nd ed.Oxfordshire: Routledge, 2006.
52.
MeadeAWJohnsonECBraddyPW. Power and sensitivity of alternative fit indices in tests of measurement invariance. J Appl Psychol2008; 93(3): 568–592.
53.
VandenbergRJLanceCE. A review and synthesis of the measurement invariance literature: suggestions, practices, and recommendations for organizational research. Organ Res Methods2000; 3(1): 4–70.
54.
BagozziRP. Issues in the application of covariance structure analysis: a further comment. J Consum Res1983; 9(4): 449.
55.
FornellC. Issues in the application of covariance structure analysis: a comment. J Consum Res1983; 9(4): 443.
56.
FornellCLarckerDF. Evaluating structural equation models with unobservable variables and measurement error. J Mark Res1981; 18(1): 39–50.
57.
WeijtersBGeuensMSchillewaertN. The proximity effect: the role of inter-item distance on reverse-item bias. Int J Res Mark2009; 26(1): 2–12.
58.
MarcadelliSStievanoARoccoG. Policy proposals for a new welfare: the development of the family and community nurse in Italy as the key to promote social capital and social innovation. Prim Health Care Res Dev2019; 20: e109.
