An Empirical Study of Intention to Extend Work- Life after Retirement Among Nurses and Midwives in Nigeria: Application of Theory of Planned Behaviour
Keywords:
Attitude, subjective norm, perceived behavioural control, intention, actual preparation, extend, work-life, retirement, nurses and midwivesAbstract
In Nigeria, severe shortage of registered nurses (RNs) and registered midwives (RMs) have made the management carefully propose a programme to extend professionals working lives after retirement. However, there is a shortage of knowledge regarding the intention and preparedness of the preceding health professionals to continue working even after they passed retirement age. This study's objective was to apply theory of planned behaviour (TPB) to assess the intention and the actual preparation to elongate employment following retirement among the Nigerian nurses and midwives (RNs & RMs). This study employed a cross-sectional survey design as well as recruitment emails to collect 446 usable questionnaires from 45 years or older. The study’s result showed a significant positive association among attitude and intention to work following retirement (β=0.38, t=3.81, p<0.00) and subjective norm (SN) and intention to work after retirement (β=0.28, t= 2.56, p<0.01). Also, the study’s result shows perceived behavioural control (PBC) and intent to extend employment after retirement (β=0.17, t=2.03, p<0.02) and between intent to work following retirement and actual preparation to take a job after retirement (β=0.69, t=29.90, p<0.00). This study indicated that appreciating the key TPB variables associated with extending working life among the respondents leads to appropriate plan services to support the health professionals in functioning past their actual retirement age. Consequently, this study found that TPB is a crucial model that is a superior predictor of individuals' behaviours than other theories. The result derived from the above approach will help the Nigerian government improve policies that promote adequate healthcare services by retaining an experienced health professional workforce.
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References
Duffield, C., et al., Why older nurses leave the workforce and the implications of them staying. Journal of clinical nursing, 2015. 24(5-6): p. 824-831 DOI: https://doi.org/10.1111/jocn.12747.
Perry, L., et al., Health, workforce characteristics, quality of life and intention to leave: The ‘Fit for the Future’survey of Australian nurses and midwives. Journal of advanced nursing, 2017. 73(11): p. 2745-2756 DOI: https://doi.org/10.1111/jan.13347.
Nasiru, M.A. and N.H. Md Dahlan, The influence of theory of planned behaviour on work-life extension among healthcare professionals in Nigeria: Data screening and preliminary analysis. European Journal of Molecular & Clinical Medicine, 2020. 7(6): p. 2353-2368.
Markowski, M., K. Cleaver, and S.M. Weldon, An integrative review of the factors influencing older nurses’ timing of retirement. Journal of Advanced Nursing, 2020. 76(9): p. 2266-2285 DOI: https://doi.org/10.1111/jan.14442.
Koehler-Derrick, G. and D.J. Milton, Choose your weapon: The impact of strategic considerations and resource constraints on terrorist group weapon selection. Terrorism and Political Violence, 2019. 31(5): p. 909-928.
Uthaman, T., T.L. Chua, and S.Y. Ang, Older nurses: A literature review on challenges, factors in early retirement and workforce retention. Proceedings of Singapore Healthcare, 2016. 25(1): p. 50- 55 DOI: https://doi.org/10.1177/2010105815610138.
Behera, M.R., D. Behera, and C. Prutipinyo, Examining the relationship between living conditions, work environment and intent to stay among nurses in current posts in rural areas of Odisha state, India. Bangladesh Journal of Medical Science, 2020. 19(3): p. 527-536 DOI: https://doi.org/10.3329/bjms.v19i3.45871.
Ajzen, I., The theory of planned behaviour: Reactions and reflections. 2011, Taylor & Francis. p. 1113-1127.
Nasiru, M.A. and F.U. Abubakar, The moderating effects of intervention programs on the relationships between attitude, subjective norms, perceived behavioral control, and intention to seek treatment among obstetric fistula women in northern Nigeria. International journal of nursing and medical science, 9(1), pp. 92-114. 2020.
Sillero-Sillero, A. and A. Zabalegui, Analysis of the work environment and intention of perioperative nurses to quit work. Revista latino-americana de enfermagem, 2020. 28 DOI: https://doi.org/10.1590/1518-8345.3239.3256.
Li, H., et al., The perceptions of older nurses regarding continuing to work in a nursing career after retirement: A qualitative study in two Chinese hospitals of different levels. International journal of nursing studies, 2020. 105: p. 103554 DOI: https://doi.org/10.1016/j.ijnurstu.2020.103554.
Pugh, J.D., et al., Western Australia facing critical losses in its midwifery workforce: A survey of midwives' intentions. Midwifery, 2013. 29(5): p. 497-505 DOI: https://doi.org/10.1016/j.midw.2012.04.006.
Nasiru, M.A. and N.H.M. Dahlan, Exploratory factor analysis in establishing dimensions of intervention programmes among obstetric vesicovaginal fistula victims in Northern Nigeria. Journal of Critical Reviews, 2020. 7(8): p. 1554-1560.
Saoula, O., et al., The moderating role of job embeddedness on the effect of organisational justice and organisational learning culture on turnover intention: A conceptual review. Humanities and Social Sciences Reviews, 7(2), 563-571. . 2019 DOI: https://doi.org/10.18510/hssr.2019.7267.
Abubakar, F.U. and M.A. Nasiru, Moderating intervention programs' effects on the relationships between psychosocial factors and therapeutic behaviour among obstetric fistula patients in northern Nigeria: A pilot study. International journal of engineering applied sciences and technology, 4(8), pp. 316-322. . 2019.
Griffin, B., D. Loe, and B. Hesketh, Using proactivity, time discounting, and the theory of planned behavior to identify predictors of retirement planning. Educational Gerontology, 2012. 38(12): p. 877-889 DOI: https://doi.org/10.1080/03601277.2012.660857.
Van Dam, K., J.D.M. Van der Vorst, and B.I.J.M. Van der Heijden, Employees' intentions to retire early: A case of planned behavior and anticipated work conditions. Journal of Career Development, 2009. 35(3): p. 265-289 DOI: https://doi.org/10.1177/0894845308327274.
Abubakar, F.U. and M.A. Nasiru, The Regulating Influence of Rehabilitation and Awareness Campaign on the Relationships between Transportation, Stigma, Quality of Health and Health- seeking Behavior among Obstetric Fistula Patients in North-west Nigeria: A Pilot Study. International Journal of Research and Scientific Innovation, 2020. 7(3): p. 198-203 DOI: https://doi.org/10.33564/IJEAST.2019.v04i08.055.
Maresova, P., et al. A Shortage in the Number of Nurses—A Case Study from a Selected Region in the Czech Republic and International Context. Multidisciplinary Digital Publishing Institute DOI: https://doi.org/10.3390/healthcare8020152.
Nasiru, M.A., A.H. Ahmad, and N.H. Md Dahlan, Barriers to participation in treatment-seeking among vesicovaginal fistula women in north-west Nigeria: A proposed conceptual framework. International Journal of Management Research & Review, 2016. 6(10): p. 1405-1413.
Garcia, P.R.J.M., M. Milkovits, and P. Bordia, The impact of work–family conflict on late-career workers’ intentions to continue paid employment: a social cognitive career theory approach. Journal of career assessment, 2014. 22(4): p. 682-699 DOI: https://doi.org/10.1177/1069072713515631.
Ramayah, T., et al., A decomposed theory of reasoned action to explain intention to use Internet stock trading among Malaysian investors. Computers in Human Behavior, 2009. 25(6): p. 1222- 1230 DOI: https://doi.org/10.1016/j.chb.2009.06.007.
Henseler, J., C.M. Ringle, and M. Sarstedt, A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the academy of marketing science, 2015. 43(1): p. 115-135 DOI: https://doi.org/10.1007/s11747-014-0403-8.
Nasiru, M.A. and N.H. Md Dahlan, The moderating impact of good governance on the relationship between Covid-19 knowledge, attitude, compliance and sustainable development goals in Nigeria. Psychology and Education, 2020. 57(8): p. 1886-1901.
Hair, J.F., C.M. Ringle, and M. Sarstedt, Partial least squares structural equation modeling: Rigorous applications, better results and higher acceptance. Long range planning, 2013. 46(1-2): p. 1-12 DOI: https://doi.org/10.1016/j.lrp.2013.01.001.
Chin, W.W., The partial least squares approach to structural equation modeling. Modern methods for business research, 1998. 295(2): p. 295-336.
Fornell, C. and D.F. Larcker, Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 1981. 18(1): p. 39-50 DOI: https://doi.org/10.1177/002224378101800104.
Cohen, J., Statistical power analysis. Current directions in psychological science, 1992. 1(3): p. 98- 101 DOI: https://doi.org/10.1111/1467-8721.ep10768783.
Stone, M., Cross‐validatory choice and assessment of statistical predictions. Journal of the royal statistical society: Series B (Methodological), 1974. 36(2): p. 111-133 DOI: https://doi.org/10.1111/j.2517-6161.1974.tb00994.x.
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