What factors are associated with the development of health services professionals in the United States?

  • View PDF

What factors are associated with the development of health services professionals in the United States?

Volume 8, Issue 3, March 2022, e09160

What factors are associated with the development of health services professionals in the United States?

https://doi.org/10.1016/j.heliyon.2022.e09160Get rights and content

Determinants and Ethiopia

  1. Minardi Mitre Cotta R, Morales Suárez-Varela M, Llopis González A, Cotta Filho JS, Real ER, Días Ricós JA. Home hospitalization: background, current situation, and future prospects. Rev Panam Salud Publica. 2001;10(1):45–55. Available from: https://pubmed.ncbi.nlm.nih.gov/11558249/.

    CAS  PubMed  Article  Google Scholar 

  2. Farfan-Portet M-I, Denis A, Mergaert L, Daue F, Mistiaen P, Gerkens S. Implementation of hospital at home: orientations for belgium. Available from: www.kce.fgov.be

  3. Massa Domínguez B. La hospitalización a domicilio en el siglo XXI. Hosp a Domic. 2017;1(1):7. Available from: https://revistahad.eu/index.php/revistahad/article/view/8.

    Article  Google Scholar 

  4. Contel Segura J. La atención a domicilio como modelo de atención compartida. Atención Primaria. 2000;25(8):22–8. Available from: https://www.elsevier.es/es-revista-atencion-primaria-27-pdf-S0212656700785611.

    Article  Google Scholar 

  5. Leong MQ, Lim CW, Lai YF. Comparison of hospital-at-home models: a systematic review of reviews. BMJ Open. 2021;11(1):e0c43285. Available from: https://bmjopen.bmj.com/content/11/1/e043285.

    Article  Google Scholar 

  6. Hospital at Home. Available from: https://www.hospitalathome.org.uk/

  7. Shepperd S, Iliffe S. Hospital at home versus in-patient hospital care. Cochrane database Syst Rev. 2005;3:CD000356. Available from: https://pubmed.ncbi.nlm.nih.gov/16034853/.

    Google Scholar 

  8. Shepperd S, Iliffe S, Doll HA, Clarke MJ, Kalra L, Wilson AD, et al. Admission avoidance hospital at home. Cochrane Database Syst Rev 2016;2016(9). Available from: https://www.cochranelibrary.com/cdsr/doi/10.1002/14651858.CD007491.pub2/full

  9. Caplan GA, Sulaiman NS, Mangin DA, Aimonino Ricauda N, Wilson AD, Barclay L. A meta-analysis of “hospital in the home.” Med J Aust. 2012;197(9):512–9. Available from: https://www.mja.com.au.

    PubMed  Article  Google Scholar 

  10. Gonçalves-Bradley DC, Iliffe S, Doll HA, Broad J, Gladman J, Langhorne P, et al. Early discharge hospital at home. Cochrane Database Syst Rev 2017;2017(6). Available from: https://www.cochranelibrary.com/cdsr/doi/10.1002/14651858.CD000356.pub4/full.

  11. Shepperd S, Doll H, Angus RM, Clarke MJ, Iliffe S, Kalra L, et al. Hospital at home admission avoidance. In: Shepperd S, editor., et al., Cochrane Database of Systematic Reviews. Chichester, UK: John Wiley & Sons, Ltd; 2008. Available from: https://pubmed.ncbi.nlm.nih.gov/18843751/. Cited 2022 Feb 1.

    Google Scholar 

  12. Jeppesen E, Brurberg KG, Vist GE, Wedzicha JA, Wright JJ, Greenstone M, et al. Hospital at home for acute exacerbations of chronic obstructive pulmonary disease. Cochrane database Syst Rev. 2012;5:CD003573. Available from: https://www.cochranelibrary.com/cdsr/doi/10.1002/14651858.CD003573.pub2/full.

    Google Scholar 

  13. Qaddoura A, Yazdan-Ashoori P, Kabali C, Thabane L, Haynes RB, Connolly SJ, et al. Efficacy of hospital at home in patients with heart failure: a systematic review and meta-analysis. PLoS One. 2015;10(6):e0129282 https://pubmed.ncbi.nlm.nih.gov/26052944/.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  14. Mendoza H, Martín MJ, García A, Arós F, Aizpuru F, De Los RegaladoCobos J, et al. ‘Hospital at home’ care model as an effective alternative in the management of decompensated chronic heart failure. Eur J Heart Fail. 2009;11(12):1208–13. Available from: https://pubmed.ncbi.nlm.nih.gov/19875400/.

    PubMed  Article  Google Scholar 

  15. García-Soleto A, Parraza-Diez N, Aizpuru-Barandiaran F, Aros-Borau F, de Zuazu HM-R, Martin-Gudino MJ, et al. Comparative study of quality of life after hospital-at-home or in-patient admission for acute decompensation of chronic heart failure. World J Cardiovasc Dis. 2013;3(1):174–81. Available from: http://www.scirp.org/Html/11-1910150_29341.htm.

    Article  Google Scholar 

  16. Fraser K, Baird LG, Laing D, Lai J, Punjani NS. Factors that influence home care case managers’ work and workload. Prof Case Manag. 2019;24(4):201–11. Available from: https://pubmed.ncbi.nlm.nih.gov/31145240/.

    PubMed  Article  Google Scholar 

  17. Flo J, Landmark B, Tønnessen S, Fagerström L. Patient classification systems used to classify nursing intensity and assess nursing staffing resources in home health care: a scoping review. Int J Nurs Stud. 2019;99:103361. Available from: https://pubmed.ncbi.nlm.nih.gov/31509778/.

    PubMed  Article  Google Scholar 

  18. Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. 2021;372:n71. Available from: https://www.bmj.com/content/372/bmj.n71.

    PubMed  PubMed Central  Article  Google Scholar 

  19. CASP CHECKLISTS - CASP - Critical Appraisal Skills Programme. Available from: https://casp-uk.net/casp-tools-checklists/

  20. Herbst T, Emmert M. Characterization and effectiveness of pay-for-performance in ophthalmology: a systematic review. BMC Health Serv Res. 2017;17(1):1–11. Available from: https://bmchealthservres.biomedcentral.com/articles/10.1186/s12913-017-2333-x.

    CAS  Article  Google Scholar 

  21. Paudyal V, Cunningham S, Smith KG, MacLure K, Ryan C, Cordina M. Methodological considerations in clinical outcomes assessment of pharmacy-based minor ailments management: a systematic review. PLoS One. 2018;13(10):e0205087 https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0205087.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  22. Alanazy ARM, Wark S, Fraser J, Nagle A. Factors impacting patient outcomes associated with use of emergency medical services operating in urban versus rural areas: a systematic review. Int J Environ Res Public Health. 2019;16(10):1728. Available from: https://pubmed.ncbi.nlm.nih.gov/31100851/.

    PubMed Central  Article  Google Scholar 

  23. Revuelta Iniesta R, Rush R, Paciarotti I, Rhatigan EB, Brougham FHM, McKenzie JM, et al. Systematic review and meta-analysis: prevalence and possible causes of vitamin D deficiency and insufficiency in pediatric cancer patients. Clin Nutr. 2016;35(1):95–108. Available from: https://pubmed.ncbi.nlm.nih.gov/25638403/.

    CAS  PubMed  Article  Google Scholar 

  24. Zheng WY, Richardson LC, Li L, Day RO, Westbrook JI, Baysari MT. Drug-drug interactions and their harmful effects in hospitalised patients: a systematic review and meta-analysis. Eur J Clin Pharmacol. 2018;74(1):15–27. Available from: https://pubmed.ncbi.nlm.nih.gov/29058038/.

    CAS  PubMed  Article  Google Scholar 

  25. Hosny S, Gademsetty C, Smith T, Hing C. A systematic review and meta-analysis investigating the association between bone marrow lesions in people with osteoarthritis. G. Balint, Antala B, Carty C, Mabieme J-MA, Amar IB, Kaplanova A, editors. Curr Rheumatol Rev. 2014;9(3):146–57. Available from: https://research-portal.uea.ac.uk/en/publications/a-systematic-review-and-meta-analysis-investigating-the-associati.

    Article  Google Scholar 

  26. Murad MH, Mustafa RA, Schünemann HJ, Sultan S, Santesso N. Rating the certainty in evidence in the absence of a single estimate of effect. Evid Based Med. 2017;22(3):85–7. https://doi.org/10.1136/ebmed-2017-110668).

    Article  PubMed  PubMed Central  Google Scholar 

  27. Montalto M, Lui B, Mullins A, Woodmason K. Medically-managed hospital in the home: 7 year study of mortality and unplanned interruption. Aust Health Rev. 2010;34(3):269–75. Available from: https://pubmed.ncbi.nlm.nih.gov/20797356/.

    PubMed  Article  Google Scholar 

  28. Adams CE, DeFrates D, Travis K. Intensity of care by discipline for selected home health diagnoses. Home Care Provid. 2000;5(6):208–12.

    CAS  PubMed  Article  Google Scholar 

  29. Lee T, Mills ME. Analysis of patient profile in predicting home care resource utilization and outcomes. JONA J Nurs Adm. 2000;30(2):67–75. Available from: https://journals.lww.com/jonajournal/Fulltext/2000/02000/Analysis_of_Patient_Profile_in_Predicting_Home.4.aspx.

    CAS  Article  Google Scholar 

  30. Payne SMC, Thomas CP, Fitzpatrick T, Abdel-Rahman M, Kayne HL. Determinants of home health visit length: results of a multisite prospective study. Med Care. 1998;36(10):1500–14. Available from: https://pubmed.ncbi.nlm.nih.gov/9794343/.

    CAS  PubMed  Article  Google Scholar 

  31. Hays BJ. Nursing intensity as a predictor of resource consumption in public health nursing. Nurs Res. 1995;44(2):106–10. Available from: https://pubmed.ncbi.nlm.nih.gov/7892136/.

    CAS  PubMed  Article  Google Scholar 

  32. Bonifassi L, Demeleumeester R, Bez G. Charge en soins infirmiers et HAD. Rev l”infirmiere. 1994;3:49–52. Available from: https://www.mendeley.com/catalogue/325a696e-78e5-3790-9251-de342840771c/?utm_source=desktop&utm_medium=1.19.8&utm_campaign=open_catalog&userDocumentId=%7B939a55a1-a56d-4137-b80c-1149a32f04b9%7D.

    Google Scholar 

  33. Churness VH, Kleffel D, Onodera M. Home health patient classification system. Home Healthc Nurse. 1991;9(2):14–22. Available from: https://pubmed.ncbi.nlm.nih.gov/1905687/.

    CAS  PubMed  Article  Google Scholar 

  34. Cox CL, Wood JE, Montgomery AC, Smith PC. Patient classification in home health care: are we ready? Public Health Nurs. 1990;7(3):130–7. Available from: https://pubmed.ncbi.nlm.nih.gov/2120692/.

    CAS  PubMed  Article  Google Scholar 

  35. Williams BC, Phillips EK, Torner JC, Irvine AA. Predicting utilization of home health resources. Important data from routinely collected information. Med Care. 1990;28(5):379–91. Available from: https://pubmed.ncbi.nlm.nih.gov/2110992/.

    CAS  PubMed  Article  Google Scholar 

  36. Peters DA. Development of a community health intensity rating scale. Nurs Res. 1988;37(4):202–7. Available from: http://www.ncbi.nlm.nih.gov/pubmed/3393425.

    CAS  PubMed  Article  Google Scholar 

  37. Stark AJ, Layton D, Gutman GMBK. Characteristics of clients generating high administrative workload in a long-term care program. Can J Public Heal. 1984;75(4):294–300.

    CAS  Google Scholar 

  38. Harrold J, Byhoff E, Harris P, Szolarova R, Bender L, Craig T, et al. All hospice patients are not equal: development of a visit-based acuity index. J Palliat Med. 2014;17(2):135–40. Available from: https://pubmed.ncbi.nlm.nih.gov/24325563/.

    PubMed  Article  Google Scholar 

  39. Adams CE, Michel Y, DeFrates D, Corbett CF. Effect of locale on health status and direct care time of rural versus urban home health patients. J Nurs Adm. 2001;31(5):244–51. Available from: https://pubmed.ncbi.nlm.nih.gov/11388160/.

    CAS  PubMed  Article  Google Scholar 

  40. Tiesinga Lj, Halfens R, Algera-Osinga Jt, Hasman A. The application of a factor evaluation system for community nursing in the Netherlands. J Nurs Manag. 1994;2(4):175–9.

    CAS  PubMed  Article  Google Scholar 

  41. Ballard S, McNamara R. Quantifying nursing needs in home health care. Nurs Res. 1983;32(4):236–41. Available from: http://www.ncbi.nlm.nih.gov/pubmed/6553248.

    CAS  PubMed  Article  Google Scholar 

  42. Holm SG, Angelsen RO. A descriptive retrospective study of time consumption in home care services: How do employees use their working time? BMC Health Serv Res. 2014;14(1):1–10. Available from: https://bmchealthservres.biomedcentral.com/articles/10.1186/1472-6963-14-439.

    Article  Google Scholar 

  43. Vecchio N, Stevens S. Predicting professional resource input in home care: the ONI survey. Aust Health Rev. 2007;31(3):401–10. Available from: https://pubmed.ncbi.nlm.nih.gov/17669063/.

    PubMed  Article  Google Scholar 

  44. Trisolini MG, Parks Thomas C, Cashman SB, Payne SMC. Resource utilization in home health care: results of a prospective study. Home Health Care Serv Q. 1994;15(1):19–41. Available from: https://pubmed.ncbi.nlm.nih.gov/10139287/.

    CAS  PubMed  Article  Google Scholar 

  45. Ervin NE. Caseload management skills for improved efficiency. J Contin Educ Nurs. 2008;39(3):127–32. Available from: https://pubmed.ncbi.nlm.nih.gov/18386700/.

    PubMed  Article  Google Scholar 

  46. Hurst K. Relationships between patient dependency, nursing workload and quality. Int J Nurs Stud. 2005;42(1):75–84. Available from: https://pubmed.ncbi.nlm.nih.gov/15582641/.

    PubMed  Article  Google Scholar 

  47. Genet N, Boerma WG, Kringos DS, Bouman A, Francke AL, Fagerström C, et al. Home care in Europe: a systematic literature review. BMC Health Serv Res. 2011;11(1):1–14. Available from: https://bmchealthservres.biomedcentral.com/articles/10.1186/1472-6963-11-207.

    Article  Google Scholar 

  48. Marek KD. Nursing diagnoses and home care nursing utilization. Public Health Nurs. 1996;13(3):195–200. Available from: https://pubmed.ncbi.nlm.nih.gov/8677235/.

    CAS  PubMed  Article  Google Scholar 

  49. Helberg JL. Use of home care nursing resources by the elderly. Public Health Nurs. 1994;11(2):104–12. Available from: https://pubmed.ncbi.nlm.nih.gov/8029177/.

    CAS  PubMed  Article  Google Scholar 

  50. Spence K, Tarnow-Mordi W, Duncan G, Jayasuryia N, Elliott J, King J, et al. Measuring nursing workload in neonatal intensive care. J Nurs Manag. 2006;14(3):227–34.

    PubMed  Article  Google Scholar 

  51. Morris R, MacNeela P, Scott A, Treacy P, Hyde A. Reconsidering the conceptualization of nursing workload: literature review. J Adv Nurs. 2007;57(5):463–71. Available from: https://pubmed.ncbi.nlm.nih.gov/17284279/.

    PubMed  Article  Google Scholar 

  52. Fagerström L, Vainikainen P. Nurses’ Experiences of Nonpatient Factors That Affect Nursing Workload: A Study of the PAONCIL Instrument’s Nonpatient Factors. Nurs Res Pract 2014;1–9. Available from: http://www.hindawi.com/journals/nrp/2014/167674/

  53. Flo J, Landmark B, Tønnessen S, Fagerström L. Nurses’ experiences of measuring nursing intensity in home healthcare: a qualitative study. Nord J Nurs Res. 2019;39(2):98–106. Available from: http://journals.sagepub.com/doi/10.1177/2057158518807569.

    Article  Google Scholar 


Page 2

(Reference) First author + Year + Country Study design Setting Study population Risk of bias Quality
[38] Harrold, 2014
U.S.A
Retrospective cohort Hospice Care at Home 35,232 patients (53.8% women). Mean age mean: 79 (71–89) years Convenience sample High (5)
[42] Holm SG, 2014
Norway
Cross-sectional Home Care Services, including Home Help, Home Nursing Care or both 276 home care recipients in municipality A and 181 in B Convenience sample High (5)
[27] Montalto M, 2010
Australia
Cohort HIH, as the equivalent of a ward or clinical unit of the hospital, in a large not-for-profit private Hospital 3,423 episodes (44.7% women); age range 0 to + 80 Convenience sample. There is no control group. There is no control for confounding variables in the design/analysis. There is no blind or third party evaluation. Precision of results not reported (only p values) Low (2)
[43] Vecchio N, 2007. Australia Cross-sectional Community-based non-government national home care services provider 218 clients (57% women), age range 7 to 99 Single-centre study with a convenience sample. Precision of results not reported Medium (3)
[39] Adams, 2001. U.S.A Retrospective cohort Non-profit Medicare-certified Home Health Agencies 2,788 episodes of medical-surgical patients (65% women), mean age (75 years (SD 13.5) Convenience sample High (5)
[28] Adams, 2000
U.S.A
Prospective cohort Non-profit Medicare-certified Home Health Agencies 2,788 episodes of medical-surgical patients (65% women), mean age (75 years (SD 13.5) Convenience sample. There is no control for confounding variables in the design/analysis Medium (3)
[29] Lee TT, 2000
U.S.A
Cohort Home Healthcare 244 patients (50% women), mean age 60.5 years Single-centre study with a convenience sample. Precision of results not reported Medium (3)
[30] Payne SM, 1998
U.S.A
Cohort Non proprietary Home Health Agencies 4,426 home health visits, based on 2,012 clients. The average age of the clients was 59.2 years, 58.5% were women Convenience sample of experienced nurses (unrepresentative) Medium (3)
[31] Hays BJ, 1995
U.S.A
Cross-sectional Home health agency that serves urban and rural areas 237 patients (64% female), 81% 60 years or older Precision of results not reported Medium (4)
[32] Bonifassi, 1994. France Cohort Hospitalisation at home centers 163 stay in Hospitalisation at home centers. Patients with HIV, with an average age of 36.5 years, mostly male Convenience sample. Limited to HIV-patients
Basic descriptive analysis, without adjusting the results and without reporting its precision
Low (1)
[44] Trisolini MG, 1994. U.S.A Cross-sectional Home Healthcare 273 patient visits; 67% women. Mean age: 67.4 (SD: 16.8) years Convenience sample Non-validated measuring instrument

Precision of results not reported

Medium (4)
[40] Tiesinga, 1994. Netherlands Retrospective cohort Community Health Care institutions (rural and urban) 65 community health nurses and community nurse auxiliaries; 1,200 patients 69% women); average age: 70 years Convenience sample Non-validated measuring instrument

Precision of results not reported

Medium (4)
[33] Churness, 1991
U.S.A
Cohort Home Health Nursing Services 83 out of 138 nurses collected data on 1,183 home visits. In phase III, 187 visits were in the sample Convenience sample During the time of the study, pay-per-visit was introduced (possible information bias). Non-validated measuring instrument

Precision of results not reported

Low (2)
[34] Cox CL, 1990
U.S.A
Cohort A hospital-affiliated, non-profit, Medicare-Certified home health care agency that provides skilled nursing care, and other professional and home health aide services 50 patients (68% women); mean age: 76.8 years Convenience sample
It does not take into account factors related to the activity of professionals. Precision of results not reported
Medium (3)
[35] Williams BC, 1990. U.S.A Cohort Home health services 1984 episodes of care corresponding to 1963 patients (63% women); median age: 69 years (range < 1 to > 99 years) It does not take into account factors related to the activity of professionals. Precision of results not reported Medium (3)
[36] Peters DA, 1988. U.S.A Cohort Home Care, as provided by a visiting nurse association (Agency A) and a hospital-based home care program (Agency B) 560 home care cases: 314 from Agency A and 246 from Agency B
Mean age of 63
Convenience sample
Validity data of the measuring instrument not shown. Precision of results not reported
Medium (4)
[37] Stark AJ, 1984. Canada Cohort Long-term care program 3518 clients (75.9% women); Mean age in Unit A (urban): 78.5 years (S.D. 13.3) and in Unit B (semi-rural): 74.6 years (S.D. 14.8) Convenience sample
There is no definition about the measure of the level of care/activity performed. No analysis plan is established. Precision of results not reported
Medium (3)
[41] Ballard, 1983. U.S.A Retrospective cohort Home Care Agencies 397 patient records (56.2% women); mean age: 70.9 years (range 1 to 96) Limited to cancer or cardiac patients. No information about the professionals’ activities. There is not standardized definitions Medium (4)