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Articles

Family characteristics as predictors of intensity in family services

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References

  • Addis, M., & Mahalik, J. (2003). Men, masculinity, and the contexts of help seeking. American Psychologist, 58(1), 5–14.
  • Addisu, F., Wondafrash, M., Chemali, Z., Dejene, T., & Tesfaye, M. (2015). Length of stay of psychiatric admissions in a general hospital in Ethiopia: A retrospective study. International Journal of Mental Health Systems, 9, 13. doi:10.1186/s13033-015-0006-x
  • Baglivio, M. (2009). The assessment of risk to recidivate among a juvenile offending population. Journal of Criminal Justice, 37(6), 596–607. doi:10.1016/j.jcrimjus.2009.09.008
  • Bakker, A., & Demerouti, E. (2008). Towards a model of work engagement. Career Development International, 13(3), 209–223. doi:10.1108/13620430810870476
  • Berlyn, C., Wise, S., & Soriano, G. (2008). Engaging fathers in child and family services: Participation, perceptions and good practice (Occasional paper no. 22). Canberra, Australia: Stronger Families and Communities Strategy 2004-2009, Department of Families, Housing, Community Services and Indigenous Affairs.
  • Blow, A., Sprenkle, D., & Davis, S. (2007). Is who delivers the treatment more important than the treatment itself: The role of the therapist in common factors. Journal of Marital and Family Therapy, 33(3), 298–317. doi:10.1111/j.1752-0606.2007.00029.x
  • Carter, E., & Potts, H. (2014). Predicting length of stay from an electronic patient record system: A primary total knee replacement example. BMC Medical Informatics and Decision Making, 14, 26–39. doi:10.1186/1472-6947-14-26
  • Compton, M., Craw, J., & Rudisch, B. (2006). Determinants of inpatient psychiatric length of stay in an urban county hospital. Psychiatry Quarterly, 77(2), 173–188. doi:10.1007/s11126-006-9005-z
  • Connell, C., Bergeron, N., Katz, K., Saunders, L., & Tebes, J. (2007). Re-referral to child protective services: The influence of child, family, and case characteristics on risk status. Child Abuse & Neglect, 31, 573–588. doi:10.1016/j.chiabu.2006.12.004
  • Connell, C., Katz, K., Saunders, L., & Tebes, J. (2006). Leaving foster care – The influence of child and case characteristics on foster care exit rates. Children and Youth Services Review, 28, 780–798. doi:10.1016/j.childyouth.2005.08.007
  • Cookson, R., & Laudicella, M. (2011). Do the poor cost much more? The relationship between small area income deprivation and length of stay for elective hip replacement in the English NHS from 2001 to 2008. Social Science Medicine, 72, 173–184. doi:10.1016/j.socscimed.2010.11.001
  • Damashek, A., Doughty, D., Ware, L., & Silovsky, J. (2011). Predictors of client engagement and attrition in home-based child maltreatment prevention services. Child Maltreatment, 16(1), 9–20. doi:10.1177/1077559510388507
  • Demerouti, E., & Bakker, A. (2011). The job demands-resources model: Challenges for future research. SA Journal of Industrial Psychology, 37(2), 1–9. doi:10.4102/sajip.v37i2.974
  • Den Hartog, Y., Mathijssen, N., Hannink, G., & Vehmeijer, S. (2015). Which patient characteristics influence length of hospital stay after primary total hip arthroplasty in a ‘fast track’ setting? The Bone & Joint Journal, 97-B(1), 19–23. doi:10.1302/0301-620X.97B1.33886
  • Durbin, J., & Goering, P. (1997). Who gets how much of what: A description of intensive case management. Psychiatric Rehabilitation Journal, 20(3), 49–56. doi:10.1037/h0095364
  • Gabriel, R., Sharma, B., Doan, C., Jiang, X., Schmidt, U., & Vaida, F. (2018). A predictive model for determining patients not requiring prolonged hospital length of stay after elective primary total hip arthroplasty. Anesthesia & Analgesia, 1. online pre-print. doi:10.1213/ANE.0000000000003798
  • Gialanella, B., Altieri, G., & Clemente, M. (2013). Determinants in predicting duration of treatment in an out-patient rehabilitation orthopedic-traumatologic service. European Journal of Physical and Rehabilitation Medicine, 50(3), 247–254.
  • Gibbs, D., & Wildfire, J. (2007). Length of service for foster parents: Using administrative data to understand retention. Children and Youth Services Review, 29, 588–599. doi:10.1016/j.childyouth.2006.11.002
  • Gonzales-Roma, V., Schaufeli, W., Bakker, A., & Lloret, S. (2006). Burnout and engagement: Independent factors or opposite poles? Journal of Vocational Behavior, 68, 165–174. doi:10.1016/j.jvb.2005.01.003
  • Graham, J., Stepura, K., Baumann, D., & Kern, H. (2010). Predicting child fatalities among less-severe CPS investigations. Children and Youth Services Review, 32, 274–280. doi:10.1016/j.childyouth.2009.09.006
  • Greenfield, T., McNiel, D., & Binder, R. (1989). Violent behavior and length of psychiatric hospitalization. Hospital and Community Psychiatry, 40(8), 809–814.
  • Guo, Y., Chang, E., Bozkurt, M., Park, M., Liu, D., & Fu, J. (2018). Factors affecting hospital length of stay following pelvic exenteration surgery. Journal of Surgical Oncology, 117(3), 529–534. doi:10.1002/jso.24878
  • Hadfield, K., Ungar, M., & Nixon, E. (2018). Rethinking discourses of family instability. Journal of Family Social Work, 21(2), 172–187. doi:10.1080/10522158.2017.1410268
  • Headman, N., & Cornille, T. (2008). Family functioning patterns as predictors of engagement: Which families participate in services and which ones do not? Journal of Family Social Work, 11(2), 117–140. doi:10.1080/10522150802165630
  • Huang, H., Ryan, J., & Herz, D. (2012). The journey of dually-involved youth: The description and prediction of rereporting and recidivism. Children and Youth Services Review, 34(1), 254–260. doi:10.1016/j.childyouth.2011.10.021
  • Huntley, D., Won Cho, D., Christman, J., & Csernansky, J. (1998). Predicting length of stay in an acute psychiatric hospital. Psychiatric Services, 49(8), 1049–1053. doi:10.1176/ps.49.8.1049
  • Husted, H., Holm, G., & Jacobsen, S. (2008). Predictors of length of stay and patient satisfaction after hip and knee replacement surgery: Fast-track experience in 712 patients. Acta Orthopaedica, 79(2), 168–173. doi:10.1080/17453670710014941
  • Ingoldsby, E. (2010). Review of interventions to improve family engagement and retention in parent and child mental health programs. Journal of Child and Family Studies, 19(5), 629–645. doi:10.1007/s10826-009-9350-2
  • James, S., Landsverk, J., & Slymen, D. (2004). Placement movement in out-of-home care: Patterns and predictors. Children and Youth Services Review, 26(2), 185–206. doi:10.1016/j.childyouth.2004.01.008
  • Kelly, L. (2014). Using practitioners to trial and review new ideas: Exploring a short-term case management model. Children and Families in Focus: Capacity Building through Partnerships in Research, Centre for Excellence in Child and Family Welfare, 1, 30–32.
  • Kelly, L. (2018). Integrated family services: A specialist family violence provider. Stop DV 2017 Peer Reviewed Conference Proceedings, Australian & New Zealand Mental Health Association, 3, 4–25.
  • Kelly, L., & Gort, L. (2012). Non-engagement in family services. Paper presented at the Association for Children’s Welfare Agencies’ 16th biannual conference, Sydney.
  • Kelly, M., Sharp, L., Dwane, F., Kelleher, T., Drummond, F., & Comber, H. (2013). Factors predicting hospital length-of-stay after radical prostatectomy: A population-based study. BMC Health Services Research, 13, 244. doi:10.1186/1472-6963-13-438
  • Lerner, Y., & Zilber, N. (2010). Predictors of cumulative length of psychiatric inpatient stay over one year: A national case register study. The Israel Journal of Psychiatry and Related Sciences, 47, 304–307.
  • Lewin, A., Mitchell, S., Burrell, L., Beers, L., & Duggan, A. (2011). Patterns and predictors of involvement among fathers of children born to adolescent mothers. Journal of Family Social Work, 14(4), 335–353. doi:10.1080/10522158.2011.587178
  • Lyons, J., O’Mahoney, M., & Larson, D. (1991). The attending psychiatrist as a predictor of length of stay. Hospital and Community Psychiatry, 42(10), 1064–1066.
  • Mahadevan, D., Challand, C., & Kennan, J. (2010). Revision total hip replacement: Predictors of blood loss, transfusion requirements, and length of hospitalisation. Journal of Orthopedic Traumatology, 11, 159–165. doi:10.1007/s10195-010-0105-z
  • Mak, G., Grant, W., McKenzie, J., & McCabe, J. (2012). Physicians’ ability to predict hospital length of stay for patients admitted to the hospital from the emergency department. Emergency Medicine International, 2012, 1–4. article ID 824674, published online. doi:10.1155/2012/824674
  • McLay, R., Daylo, A., & Hammer, P. (2005). Predictors of length of stay in a psychiatric ward serving active duty military and civilian patients. Military Medicine, 170(3), 219–222.
  • Park, J., & Choi, H. (2009). Factors influencing adult learners’ decision to drop out or persist in online learning. Educational Technology & Society, 12(4), 207–217.
  • Peled, E., & Edleson, J. (1998). Predicting children’s domestic violence service participation and completion. Research on Social Work Practice, 8, 698–712. doi:10.1177/104973159800800606
  • Pemberton, A., Jainapurkar, I., Desai, P., Duran, A., Sullivan, J., Hipp, D., … Pigott, T. (2017). Destined for a dreary course: Does posttraumatic stress disorder severity impact length of stay in pediatric psychiatric inpatients? Journal of the American Academy of Child & Adolescent Psychiatry, 56(10), s248–s249. doi:10.1016/j.jaac.2017.09.273
  • Peris, T., Sugar, C., Bergman, L., Chang, S., Langley, A., & Piacentini, J. (2012). Family factors predict treatment outcome for pediatric obsessive compulsive disorder. Journal of Consulting Clinical Psychology, 80(2), 255–263. doi:10.1037/a0027084
  • Pugely, A., Martin, C., Gao, Y., Belatti, D., & Callaghan, J. (2014). Comorbidities in patients undergoing total knee arthroplasty: Do they influence hospital costs and length of stay? Clinical Orthopaedics and Related Research, 472(12), 3943–3950. doi:10.1007/s11999-014-3918-x
  • Ringland, C., Weatherburn, D., & Poynton, S. (2015). Can child protection data improve the prediction of re-offending in young persons? Crime and Justice Bulletin, 188, 1–20. Sydney: NSW Bureau of Crime Statistics and Research.
  • Schaufeli, W., Bakker, A., & Rhenen, W. (2009). How changes in job demands and resources predict burnout, work engagement, and sickness absenteeism. Journal of Organizational Behavior, 30(7), 893–917. doi:10.1002/job.v30:7
  • Sharma, A., Muir, R., Johnston, R., Carter, E., Bowden, G., & Wilson-MacDonald, J. (2013). Diabetes is predictive of longer hospital stay and increased rate of Clavien complications in spinal surgery in the UK. Annals of the Royal College of Surgeons of England, 95(4), 275–279. doi:10.1308/003588413X13511609958299
  • Sherman, P., & Ryan, C. (1998). Intensity and duration of intensive case management services. Psychiatric Services, 49(12), 1585–1589. doi:10.1176/ps.49.12.1585
  • Shlonsky, A., & Wagner, D. (2005). The next step: Integrating actuarial risk assessment and clinical judgement into an evidence-based practice framework in CPS case management. Children and Youth Services Review, 27, 409–427. doi:10.1016/j.childyouth.2004.11.007
  • Smith, I., Elton, R., Ballantyne, J., & Brenkel, I. (2008). Pre-operative predictors of the length of hospital stay in total knee replacement. Journal of Bone Joint Surgery, 90(11), 1435–1440. doi:10.1302/0301-620X.90B11.20687
  • Stevens, A., Hammer, K., & Buchkremer, G. (2001). A statistical model for length of psychiatric inpatient treatment and an analysis of contributing factors. Acta Psychiatrica Scandinavica, 103(3), 203–211.
  • Thompson, R., & Wiley, T. (2009). Predictors of re-referral to child protective services: A longitudinal follow-up of an urban cohort maltreated as infants. Child Maltreatment, 14(1), 89–99. doi:10.1177/1077559508325317
  • Tulloch, A., Fearon, P., & David, A. (2011). Length of stay of general psychiatric inpatients in the United States: Systematic review. Administration and Policy in Mental Health and Mental Health Services Research, 38(3), 155–168. doi:10.1007/s10488-010-0310-3
  • van Aalst, M., Oosterhof, J., Nijhuis-van der Sanden, M., & Schreurs, B. W. (2014). Can the length of hospital stay after total hip arthroplasty be predicted by preoperative physical function characteristics? American Journal of Physical Medicine & Rehabilitation, 93(6), 486–492. doi:10.1097/PHM.0000000000000054
  • Whitson, M., Martinez, A., Ayala, C., & Kaufman, J. (2011). Predictors of parenting and infant outcomes for impoverished adolescent parents. Journal of Family Social Work, 14(4), 284–297. doi:10.1080/10522158.2011.587173
  • Yatchmenoff, D. (2005). Measuring client engagement from the client’s perspective in nonvoluntary child protective services. Research on Social Work Practice, 15(2), 84–96. doi:10.1177/1049731504271605
  • Zhang, J., Harvey, C., & Andrew, C. (2011). Factors associated with length of stay and the risk of readmission in an acute psychiatric inpatient facility: A retrospective study. Australian and New Zealand Journal of Psychiatry, 45(7), 578–585. doi:10.3109/00048674.2011.585452

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