Literature DB >> 22091689

Predicting nursing home adherence to a clinical trial intervention: lessons for the conduct of cluster randomized trials.

Jennifer Tjia1, Kathleen M Mazor, Terry Field, Peter Doherty, Ann Spenard, Jerry H Gurwitz.   

Abstract

OBJECTIVES: To describe factors predictive of nursing home (NH) adherence to a clinical trial intervention.
DESIGN: Post hoc analysis of a cluster randomized trial (CRT) evaluating a structured communication intervention to improve nurse-physician telephone communication in NHs.
SETTING: NH. PARTICIPANTS: All eligible licensed nursing staff in all participating NHs. MEASUREMENTS: Adherence was defined as active participation for at least 3 months of the 12-month trial. NH characteristics hypothesized to affect trial outcomes (profit status, bed size, nursing staff time, NH quality, and leadership turnover) were measured a priori. The association between intervention adherence, NH characteristics and preintervention questionnaire response rate was examined.
RESULTS: Of 13 intervention NHs, seven adhered to the intervention. Three factors differentiated adherent from nonadherent NHs: director of nursing turnover (nonadherent NHs 50% vs adherent NHs 0%, P = .03); Centers for Medicare and Medicaid Services (CMS) nurse staffing rating (range: 1-5) (nonadherent NHs mean 3.7 ± 0.5 vs adherent NHs mean 4.3 ± 0.5), P = .048); and questionnaire response rate (nonadherent NHs 15.6 ± 10.0% vs adherent NHs 34.2 ± 12.1%, P = .02). Profit status, bed size, and number of NH deficiencies on state surveys were not significantly associated with intervention adherence.
CONCLUSION: CMS nurse staffing rating, leadership turnover, and questionnaire response rate are associated with adherence to a CRT intervention. Pretrial evaluation of NH staffing rating by CMS and of response to a questionnaire can help investigators improve trial efficiency by screening for NHs likely to adhere to a CRT intervention.
© 2011, Copyright the Authors Journal compilation © 2011, The American Geriatrics Society.

Entities:  

Mesh:

Year:  2011        PMID: 22091689      PMCID: PMC4164958          DOI: 10.1111/j.1532-5415.2011.03697.x

Source DB:  PubMed          Journal:  J Am Geriatr Soc        ISSN: 0002-8614            Impact factor:   5.562


  17 in total

1.  The effect of Medicaid reimbursement on quality of care in nursing homes.

Authors:  J W Cohen; W D Spector
Journal:  J Health Econ       Date:  1996-02       Impact factor: 3.883

2.  The effects of changes in nursing home staffing on pressure ulcer rates.

Authors:  Elaine C Hickey; Gary J Young; Victoria A Parker; Elaine J Czarnowski; Debra Saliba; Dan R Berlowitz
Journal:  J Am Med Dir Assoc       Date:  2005 Jan-Feb       Impact factor: 4.669

3.  Staff turnover and quality of care in nursing homes.

Authors:  Nicholas G Castle; John Engberg
Journal:  Med Care       Date:  2005-06       Impact factor: 2.983

4.  Effects of state minimum staffing standards on nursing home staffing and quality of care.

Authors:  Jeongyoung Park; Sally C Stearns
Journal:  Health Serv Res       Date:  2008-09-17       Impact factor: 3.402

5.  Randomized trial of a warfarin communication protocol for nursing homes: an SBAR-based approach.

Authors:  Terry S Field; Jennifer Tjia; Kathleen M Mazor; Jennifer L Donovan; Abir O Kanaan; Leslie R Harrold; George Reed; Peter Doherty; Ann Spenard; Jerry H Gurwitz
Journal:  Am J Med       Date:  2011-02       Impact factor: 4.965

6.  State variability in indicators of quality of care in nursing facilities.

Authors:  Nicholas G Castle; Howard Degenholtz; John Engberg
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2005-09       Impact factor: 6.053

7.  Atrial fibrillation and stroke prevention with warfarin in the long-term care setting.

Authors:  J H Gurwitz; J Monette; P A Rochon; M A Eckler; J Avorn
Journal:  Arch Intern Med       Date:  1997-05-12

8.  RN staffing time and outcomes of long-stay nursing home residents: pressure ulcers and other adverse outcomes are less likely as RNs spend more time on direct patient care.

Authors:  Susan D Horn; Peter Buerhaus; Nancy Bergstrom; Randall J Smout
Journal:  Am J Nurs       Date:  2005-11       Impact factor: 2.220

9.  Nurse-physician communication in the long-term care setting: perceived barriers and impact on patient safety.

Authors:  Jennifer Tjia; Kathleen M Mazor; Terry Field; Vanessa Meterko; Ann Spenard; Jerry H Gurwitz
Journal:  J Patient Saf       Date:  2009-09       Impact factor: 2.844

10.  The staffing-outcomes relationship in nursing homes.

Authors:  R Tamara Konetzka; Sally C Stearns; Jeongyoung Park
Journal:  Health Serv Res       Date:  2008-06       Impact factor: 3.402

View more
  2 in total

1.  Successful knowledge translation intervention in long-term care: final results from the vitamin D and osteoporosis study (ViDOS) pilot cluster randomized controlled trial.

Authors:  Courtney C Kennedy; George Ioannidis; Lehana Thabane; Jonathan D Adachi; Sharon Marr; Lora M Giangregorio; Suzanne N Morin; Richard G Crilly; Robert G Josse; Lynne Lohfeld; Laura E Pickard; Mary-Lou van der Horst; Glenda Campbell; Jackie Stroud; Lisa Dolovich; Anna M Sawka; Ravi Jain; Lynn Nash; Alexandra Papaioannou
Journal:  Trials       Date:  2015-05-12       Impact factor: 2.279

2.  Clinical study on cluster care to prevent multi-drug resistant infection in ICU patients with severe encephalopathy.

Authors:  Liu Qiong; Zhu Hui
Journal:  Exp Ther Med       Date:  2016-11-07       Impact factor: 2.447

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.