American Association of Colleges of Nursing . (2020). Fact sheet: Nursing shortage. Author. https://www.aacnnursing.org/news-information/fact-sheets/nursing-shortage
Google Scholar Anderson, K., Zheng, B., Yoon, S. W., Khasawneh, M. T. (2015). An analysis of overlapping apointment scheduling model in an outpatient clinic. Operations Research for Health Care, 4(March), 5-14. https://doi.org/10.1016/j.orhc.2014.12.001
Google Scholar Angrist, J. D., Pischke, J. S. (2008). Making regressions make sense. In Mostly harmless econometrics: An empiricist’s companion (pp. 27-112, chap. 3). Princeton University Press.
Google Scholar | Crossref Auerbach, D. I., Buerhaus, P. I., Staiger, D. O. (2017). How fast will the registered, nurse workforce grow through 2030? Projections in nine regions of the country. Nursing Outlook, 65(1), 116-122. https://doi.org/10.1016/j.outlook.2016.07.004
Google Scholar Buerhaus, P. I., Skinner, L. E., Auerbach, D. I., Staiger, D. O. (2017). Four challenges facing the nursing workforce in the United States. Journal of Nursing Regulation, 8(2), 40-46. https://doi.org/10.1016/S2155-8256(17)30097-2
Google Scholar Castle, N. G., Engberg, J. (2006). Organizational characteristics associated with staff turnover in nursing homes. The Gerontologist, 46(1), 62-73. https://doi.org/10.1093/geront/46.1.62
Google Scholar Castle, N. G., Engberg, J., Men, A. (2007). Nursing home staff turnover: Impact on nursing home compare quality measures. The Gerontologist, 47(5), 650-661. https://doi.org/10.1093/geront/47.5.650
Google Scholar Cimiotti, J. P., Aiken, L. H., Sloane, D. M., Wu, E. S. (2012). Nurse staffing, burnout, and health care-associated infection. American Journal of Infection Control, 40(6), 486-490. https://doi.org/10.1016/j.ajic.2012.02.029
Google Scholar Cryer, L., Shannon, S. B., Van Amsterdam, M., Leff, B. (2012). Costs for “hospital at home” patients were 19 percent lower, with equal or better outcomes compared to similar inpatients. Health Aff (Millwood), 31(6), 1237-1243. https://doi.org/10.1377/hlthaff.2011.1132
Google Scholar Daedal Research . (2020). The U.S. Post-Acute Care (PAC) market: Size, trends & forecasts. https://www.marketresearch.com/Daedal-Research-v3440/Post-Acute-Care-PAC-Size-12203950/
Google Scholar David, G., Brachet, T. (2011). On the determinants of organizational forgetting. American Economic Journal: Microeconomic, 3(3), 100-123. https://doi.org/10.1257/mic.3.3.100
Google Scholar David, G., Kim, K. L. (2018). The effect of workforce assignment on performance: Evidence from home health care. Journal of Health Economics, 59(May), 26-45. https://doi.org/10.1016/j.jhealeco.2018.03.003
Google Scholar De, P., Ghosh, J. B., Wells, C. E. (1996). Scheduling to minimize the coefficient of variation. International Journal of Prodùction Economics, 44(3), 249-253. https://doi.org/10.1016/0925-5273(96)00056-4
Google Scholar Demir, A., Ulusoy, M., Ulusoy, M. F. (2003). Investigation of factors influencing burnout levels in the professional and private lives of nurses. International Journal of Nursing Studies, 40(8), 807-827. https://doi.org/10.1016/S0020-7489(03)00077-4
Google Scholar Donoghue, C. (2010). Nursing home staff turnover and retention: An analysis of national level data. Journal of Applied Gerontology, 29(1), 89-106. https://doi.org/10.1177/0733464809334899
Google Scholar Ellenbecker, C. H. (2004). A theoretical model of job retention for home health care nurses. Journal of Advanced Nursing, 47(3), 303-310. https://doi.org/10.1111/j.1365-2648.2004.03094.x
Google Scholar Ellenbecker, C. H., Porell, F. W., Samiam, L., Byleckie, J. J., Milburn, M. (2008). Predictors of home healthcare nurse retention. Journal of Nursing Scholarship, 40(2), 151-160. https://doi.org/10.1111/j.1547-5069.2008.00220.x
Google Scholar Ellenbecker, C. H., Samia, L., Cushman, M. J., Porell, F. W. (2007). Employer retention strategies and their effect on nurses’ job satisfaction and intent to stay. Home Health Care Services Quarterly, 26(1), 43-58. https://doi.org/10.1300/J027v26n01_04
Google Scholar Fernández-Val, I. (2009). Fixed effects estimation of structural parameters and marginal effects in panel probit models. Journal of Econometrics, 150(1), 71-85. https://doi.org/10.1016/j.jeconom.2009.02.007
Google Scholar Frick, K. D., Burton, L. C., Clark, R., Mader, S. I. (2009). Substitutive Hospital at Home for older persons: Effects on costs. American Journal of Managed Care, 15(1), 49-56.
Google Scholar | Medline | ISI Gandhi, A., Yu, H., Grabowski, D. C. (2021). High nursing staff turnover in nursing homes offers important quality information. Health Affairs, 40(3), 384-391. https://doi.org/10.1377/hlthaff.2020.00957
Google Scholar Gilmartin, M. J. (2013). Thirty years of nursing turnover research: Looking back to move forward. Medical Care Research and Review, 70(1), 3-28. https://doi.org/10.1177/1077558712449056
Google Scholar Golden, L. (2015). Irregular work scheduling and its consequences. Economic Policy Institute.
Google Scholar | Crossref Grabowski, D. C., Joynt Maddox, K. E. (2020). Postacute care preparedness for COVID-19: Thinking ahead. Journal of the American Medical Association, 323(20), 2007-2008. https://doi.org/10.1001/jama.2020.4686
Google Scholar Griffiths, P., Ball, J., Drennan, J., Dall’Ora, C., Jones, J., Maruotti, A., Pope, C., Saucedo, A. R., Simon, M. (2016). Nurse staffing and patient outcomes: Strengths and limitations of the evidence to inform policy and practice: A review and discussion paper based on evidence reviewed for the National Institute for Health and Care Excellence Safe Staffing guideline development. International Journal of Nursing Studies, 63(November), 213-225. https://doi.org/10.1016/j.ijnurstu.2016.03.012
Google Scholar Halbesleben, J. R. (2010). The role of exhaustion and workarounds in predicting occupational injuries: A cross-lagged panel study of health care professionals. Journal of Occupational Health Psychology, 15(1), 1-16. https://doi.org/10.1037/a0017634
Google Scholar Harris-Kojetin, L., Sengupta, M., Lendon, J. P., Rome, V., Valverde, R., Caffrey, C. (2019). Long-term care providers and services users in the United States, 2015–2016. National Center for Health Statistics. https://www.cdc.gov/nchs/data/series/sr_03/sr03_43-508.pdf
Google Scholar Hayes, L. J., O’Brien-Pallas, L., Duffield, C., Shamian, J., Buchan, J., Hughes, F., Laschinger, H. K. S., North, N. (2012). Nurse turnover: A literature review: An update. International Journal of Nursing Studies, 49(7), 887-905. https://doi.org/10.1016/j.ijnurstu.2011.10.001
Google Scholar Holtom, B. S., Mitchell, T. R., Lee, T. W., Eberly, M. B. (2008). Turnover and retention research: A glance at the past, a closer review of the presents, and a venture into the future. Academy of Management Annals, 2(1), 231-274. https://doi.org/10.1080/19416520802211552
Google Scholar Howard, J., Kent, T., Stuck, A. R., Crowley, C., Zeng, F. (2019). Improved cost and utilization among medicare beneficiaries dispositioned from the ED to receive home health care compared with inpatient hospitalizations. American Journal of Accountable Care, 7(1), 10-16. https://www.ajmc.com/view/improved-cost-and-utilization-among-medicare-beneficiaries-dispositioned-from-the-ed-to-receive-home-health-care-compared-with-inpatient-hospitalization
Google Scholar Institute of Medicine . (2011). The future of nursing: Leading change, advancing health. National Academies Press.
Google Scholar Jones, C. (2008). Revisiting nurse turnover costs: Adjusting for inflation. Journal of Nursing Administration, 38(1), 11-18. https://doi.org/10.1097/01.NNA.0000295636.03216.6f
Google Scholar Kane, R. L., Shamliyan, T. A., Mueller, C., Duval, S., Wilt, T. J. (2007). The association of registered nurse staffing levels and patient outcomes: Systematic review and meta-analysis. Medical Care, 45(12), 1195-1204. https://doi.org/10.1097/MLR.0b013e3181468ca3
Google Scholar Kravits, K., McAllister-Black, R., Grant, M., Kirk, C. (2010). Self-care strategies for nurses: A psycho-educational intervention for stress reduction and the prevention of burnout. Applied Nursing Research, 23(3), 130-138. https://doi.org/10.1016/j.apnr.2008.08.002
Google Scholar Leff, B., Burton, L., Mader, S. L., Naughton, B., Burl, J., Koehn, D., Clark, R., Greenough, W. B., Guido, S., Steinwachs, D., Burton, J. R. (2008). Comparison of stress experienced by family members of patients treated in hospital at home with that of those receiving traditional acute hospital care. Journal of the American Geriatrics Society, 56(1), 117-123. https://doi.org/10.1111/j.1532-5415.2007.01459.x
Google Scholar Luo, H., Lin, M., Castle, N. (2012). The correlates of nursing staff turnover in home and hospice agencies: 2007 National Home and Hospice Care Survey. Research on Aging, 35(4), 375-392. https://doi.org/10.1177/0164027512443072
Google Scholar Lusher, L., Yasenov, V., Luong, P. (2019). Does schedule irregularity affect productivity? Evidence from random assignment into college classes. Labour Economics, 60(October), 115-128. https://doi.org/10.1016/j.labeco.2019.06.004
Google Scholar Maslach, C., Schaufeli, W., Leiter, M. P. (2001). Job burnout. Annual Review of Psychology, 52, 397-422. https://doi.org/10.1146/annurev.psych.52.1.397
Google Scholar Mazurenko, O., Gupte, G., Shan, G. (2015). Analyzing U.S. nurse turnover: Are nurses leaving their jobs or the profession itself? Journal of Hospital Administration, 4(4), 48-56. https://doi.org/10.5430/jha.v4n4p48
Google Scholar Medicare Payment Advisory Commission . (2018). Home health care services payment system. Author. http://www.medpac.gov/docs/default-source/payment-basics/medpac_payment_basics_17_hha_final.pdf
Google Scholar Monsalve-Reyes, C. S., San Luis-Costas, C., Gomez-Urquiza, J. L., Albendin-Garcia, L., Aguayo, R., Canadas-De, la, Fuente, G. A (2018). Burnout syndrome and its prevalence in primary care nursing: A systematic review and meta-analysis. BMC Family Practice, 19(1), Article 59. https://doi.org/10.1186/s12875-018-0748-z
Google Scholar NSI Nursing Solutions . (2020). 2020 NSI National Health Care Retention & RN Staffing Report. Author.
Google Scholar Polsky, D., David, G., Yang, J., Kinosian, B., Werner, R. (2014). The effect of entry regulation in the health care sector: The case of home health. Journal of Public Economics, 110, 1-14. https://doi.org/10.1016/j.jpubeco.2013.11.003
Google Scholar Shamali, M., Shahriari, M., Babaii, A., Abbasinia, M. (2015). Comparative study of job burnout among critical care nurses with fixed and rotating shift schedules. Nursing and Midwifery Studies, 4(3), e27766. https://doi.org/10.17795/nmsjournal27766
Google Scholar Smiley, R. A., Lauer, P., Bienemy, C., Berg, J. G., Shireman, E., Reneau, K. A., Alexander, M. (2018). The 2017 National Nursing Workforce Survey. Journal of Nursing Regulation, 9(3 Suppl.), S1-S88. https://doi.org/10.1016/S2155-8256(18)30131-5
Google Scholar Song, H., Andreyeva, E., David, G. (2021). Time is the wisest counselor of all: The value of provider-patient engagement length in home health care. Management Science. Advance Online Publication. https://doi.org/10.1287/mnsc.2020.3921
Google Scholar Stimpfel, A. W., Sloane, D. M., Aiken, L. H. (2012). The longer the shifts for hospital nurses, the higher the levels of burnout and patient dissatisfaction. Health Aff (Millwood), 31(11), 2501-2509.
Google Scholar | Crossref | Medline | ISI Thomas, K. S., Mor, V., Tyler, D. A., Hyer, K. (2013). The relationships among licensed nurse turnover, retention, and rehospitalization of nursing home residents. The Gerontologist, 53(2), 211-221. https://doi.org/10.1093/geront/gns082
Google Scholar Tian, W. (2016). An all-payer view of hospital discharge to post-acute care, 2013. U.S. Agency for Healthcare Research and Quality.
Google Scholar Toh, S. G., Ang, E., Devi, M. K. (2012). Systematic review on the relationship between the nursing shortage and job satisfaction, stress and burnout levels among nurses in oncology/haematology settings. International Journal of Evidence-Based Healthcare, 10(2), 126-141. https://doi.org/10.1111/j.1744-1609.2012.00271.x
Google Scholar Tourangeau, A., Patterson, E., Rowe, A., Saari, M., Thomson, H., MacDonald, G., Cranley, L., Squires, M. (2014). Factors influencing home care nurse intention to remain employed. Journal of Nursing Management, 22(8), 1015-1026. https://doi.org/10.1111/jonm.12104
Google Scholar U.S. Bureau of Labor Statistics . (2019a). Occupational Outlook Handbook: Licensed practical and licensed vocational nurses. Author. https://www.bls.gov/ooh/healthcare/licensed-practical-and-licensed-vocational-nurses.htm
Google Scholar U.S. Bureau of Labor Statistics . (2019b). Occupational Outlook Handbook: Registered Nurses. Author. https://www.bls.gov/ooh/healthcare/registered-nurses.htm
Google Scholar U.S. Bureau of Labor Statistics . (2020). National industry-specific occupational employment and wage estimates: NAICS 621600–Home health care services. https://www.bls.gov/oes/current/naics4_621600.htm
Google Scholar Vahey, D. C., Aiken, L. H., Sloane, D. M., Clarke, S. P., Vargas, D. (2004). Nurse burnout and patient satisfaction. Medical Care, 42(2 Suppl.), II57-II66. https://doi.org/10.1097/01.mlr.0000109126.50398.5a
Google Scholar Van der Heijden, B., Brown Mahoney, C., Xu, Y. (2019). Impact of job demands and resources on nurses’ burnout and occupational turnover intention towards an age-moderated mediation model for the nursing profession. International Journal of Environmental Research and Public Health, 16(11). https://doi.org/10.3390/ijerph16112011
Google Scholar Van Waeyenberg, T., Decramer, A., Anseel, F. (2015). Home nurses’ turnover intentions: The impact of informal supervisory feedback and self-efficacy. Journal of Advanced Nursing, 71(12), 2867-2878. https://doi.org/10.1111/jan.12747
Google Scholar Waldman, J. D., Kelly, F., Arora, S., Smith, H. L. (2010). The shocking cost of turnover in health care. Health Care Management Review, 35(3), 206-211. https://doi.org/10.1097/HMR.0b013e3181e3940e
Google Scholar Werner, R. M., Coe, N. B., Qi, M., Konetzka, R. T. (2019). Patient outcomes after hospital discharge to home with home health care vs to a skilled nursing facility. JAMA Internal Medicine, 179(5), 617-623. https://doi.org/10.1001/jamainternmed.2018.7998
Google Scholar Willard-Grace, R., Knox, M., Huang, B., Hammer, H., Kivlahan, C., Grumbach, K. (2019). Burnout and health care workforce turnover. Annals of Family Medicine, 17(1), 36-41. https://doi.org/10.1370/afm.2338
Google Scholar