Katherine J Jones

Dr. Katherine J Jones


Research Focus & Metrics

Academic Career Length

25Years (2002-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 May 2002 in JAMA Otolaryngology–Head & Neck Surgery
Verified
Journal Article
Open access
PDF file
KJKatherine J Jones
Katherine J Jones
JSJason Sigmon
Jason Sigmon
LHLynette Hock
Lynette Hock
ENEric Nelson
Eric Nelson
MSMarsha Sullivan
Marsha Sullivan
FOFrederic Ogren
Frederic Ogren
APPROXIMATELY one third of the labor force in industrialized societies relies on voice as their primary work tool.1 Occupational voice disorders might be the result of the repetitive movement or "collision" of the vocal folds.1 Vocal attrition can be described as "the ‘wear and tear' of the vocal mechanism and the overall reduction in vocal capabilities associated with acute or chronic abuse of the phonatory system."2(p130) Recent studies have shown an association between voice problems and vocally demanding jobs such as teaching,3-6 singing,7-9 and aerobics instruction.10,11

23 February 2013 in BMJ Quality & Safety
Verified
Journal Article
Closed access
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KJKatherine J Jones
Katherine J Jones
ASAnne M Skinner
Anne M Skinner
RHRobin High
Robin High
RRRoni Reiter-Palmon
Roni Reiter-Palmon
Background Effective teamwork facilitates collective learning, which is integral to safety culture. There are no rigorous evaluations of the impact of team training on the four components of safety culture—reporting, just, flexible and learning cultures. We evaluated the impact of a year-long team training programme on safety culture in 24 hospitals using two theoretical frameworks. Methods We used two quasi-experimental designs: a cross-sectional comparison of hospital survey on patient safety culture (HSOPS) results from an intervention group of 24 hospitals to a static group of 13 hospitals and a pre-post comparison of HSOPS results within intervention hospitals. Dependent variables were HSOPS items representing the four components of safety culture; independent variables were derived from items added to the HSOPS that measured the extent of team training, learning and transfer. We used a generalised linear mixed model approach to account for the correlated nature of the data. Results 59% of 2137 respondents from the intervention group reported receiving team training. Intervention group HSOPS scores were significantly higher than static group scores in three dimensions assessing the flexible and learning components of safety culture. The distribution of the adoption of team behaviours (transfer) varied in the intervention group from 2.8% to 31.0%. Adoption of team behaviours was significantly associated with odds of an individual reacting more positively at reassessment than baseline to nine items reflecting all four components of safety culture. Conclusions Team training can result in transformational change in safety culture when the work environment supports the transfer of learning to new behaviour.

11 December 2019 in BMC Geriatrics
Verified
Journal Article
Open access
PDF file
DVDawn M. Venema
Dawn M. Venema
ASAnne M. Skinner
Anne M. Skinner
RNRegina Nailon
Regina Nailon
DCDeborah Conley
Deborah Conley
RHRobin High
Robin High
KJKatherine J Jones
Katherine J Jones
Background: Unassisted falls are more likely to result in injury than assisted falls. However, little is known about risk factors for falling unassisted. Furthermore, rural hospitals, which care for a high proportion of older adults, are underrepresented in research on hospital falls. This study identified risk factors for unassisted and injurious falls in rural hospitals.Methods: Seventeen hospitals reported 353 falls over 2 years. We categorized falls by type (assisted vs. unassisted) and outcome (injurious vs. non-injurious). We used multivariate logistic regression to determine factors that predicted fall type and outcome.Results: With all other factors being equal, the odds of falling unassisted were 2.55 times greater for a patient aged ≥65 than < 65 (95% confidence interval [CI] = 1.30–5.03), 3.70 times greater for a patient with cognitive impairment than without (95% CI = 2.06–6.63), and 6.97 times greater if a gait belt was not identified as an intervention for a patient than if it was identified (95% CI = 3.75–12.94). With all other factors being equal, the odds of an injurious fall were 2.55 times greater for a patient aged ≥65 than < 65 (95% CI = 1.32–4.94), 2.48 times greater if a fall occurred in the bathroom vs. other locations (95% CI = 1.41–4.36), and 3.65 times greater if the fall occurred when hands-on assistance was provided without a gait belt, compared to hands-on assistance with a gait belt (95% CI = 1.34–9.97).Conclusions: Many factors associated with unassisted or injurious falls in rural hospitals were consistent with research conducted in larger facilities. A novel finding is that identifying a gait belt as an intervention decreased the odds of patients falling unassisted. Additionally, using a gait belt during an assisted fall decreased the odds of injury. We expanded upon other research that found an association between assistance during falls and injury by discovering that the manner in which a fall is assisted is an important consideration for risk mitigation.

9 September 2019 in BMC Health Services Research
Verified
Journal Article
Open access
PDF file
KJKatherine J Jones
Katherine J Jones
JCJohn Crowe
John Crowe
Joseph A. AllenJoseph A. Allen
Joseph A. Allen
ASAnne M. Skinner
Anne M. Skinner
RHRobin High
Robin High
RRRoni Reiter-Palmon
Roni Reiter-Palmon
Background: Conducting post-fall huddles is considered an integral component of a fall-risk-reduction program. However, there is no evidence linking post-fall huddles to patient outcomes or perceptions of teamwork and safety culture. The purpose of this study is to determine associations between conducting post-fall huddles and repeat fall rates and between post-fall huddle participation and perceptions of teamwork and safety culture.Methods: During a two-year demonstration project, we developed a system for 16 small rural hospitals to report, benchmark, and learn from fall events, and we trained them to conduct post-fall huddles. To calculate a hospital’s repeat fall rate, we divided the total number of falls reported by the hospital by the number of unique medical record numbers associated with each fall. We used Spearman correlations with exactPvalues to determine the association between the proportion of falls followed by a huddle and the repeat fall rate. At study end, we used the TeamSTEPPS® Teamwork Perceptions Questionnaire (T-TPQ) to assess perceptions of teamwork support for fall-risk reduction and the Hospital Survey on Patient Safety Culture (HSOPS) to assess perceptions of safety culture. We added an item to the T-TPQ for respondents to indicate the number of post-fall huddles in which they had participated. We used a binary logistic regression with a logit link to examine the effect of participation in post-fall huddles on respondent-level percent positive T-TPQ and HSOPS scores. We accounted for clustering of respondents within hospitals with random effects using the GLIMMIX procedure in SAS/STAT.Result: Repeat fall rates were negatively associated with the proportion of falls followed by a huddle. As compared to hospital staff who did not participate in huddles, those who participated in huddles had more positive perceptions of four domains of safety culture and how team structure, team leadership, and situation monitoring supported fall-risk reduction.Conclusions: Post-fall huddles may reduce the risk of repeat falls. Staff who participate in post-fall huddles are likely to have positive perceptions of teamwork support for fall-risk reduction and safety culture because huddles are a team-based approach to reporting, adapting, and learning.

1 October 2004 in The Journal of Rural Health
Verified
Journal Article
Closed access
PDF file
KJKatherine J Jones
Katherine J Jones
GCGary Cochran
Gary Cochran
RHRodney W. Hicks
Rodney W. Hicks
KMKeith J. Mueller
Keith J. Mueller

1 October 2020 in Journal of Patient Safety
Verified
Journal Article
Open access
KJKatherine J Jones
Katherine J Jones
GHGleb Haynatzki
Gleb Haynatzki
LSLucas Sabalka
Lucas Sabalka
Objectives: This study aimed to evaluate the effectiveness of using 1 to 4 mobile or fixed automated video monitoring systems (AVMSs) to decrease the risk of unattended bed exits (UBEs) as antecedents to unassisted falls among patients at high risk for falls and fall-related injuries in 15 small rural hospitals. Methods: We compared UBE rates and fall rates during baseline (5 months in which patient movement was recorded but nurses did not receive alerts) and intervention phases (2 months in which nurses received alerts). We determined lead time (seconds elapsed from the first alert because of patient movement until 3 seconds after an UBE) during baseline and positive predictive value and sensitivity during intervention. Results: Age and fall risk were negatively associated with the baseline patient rate of UBEs/day. From baseline to intervention: in 9 hospitals primarily using mobile systems, UBEs/day decreased from 0.84 to 0.09 (89%); in 5 hospitals primarily using fixed systems, UBEs/day increased from 0.43 to 3.18 (649%) as patients at low risk for falls were observed safely exiting the bed; and among 13 hospitals with complete data, total falls/1000 admissions decreased from 8.83 to 5.53 (37%), and injurious falls/1000 admissions decreased from 2.52 to 0.55 (78%). The median lead time of the AVMS was 28.5 seconds, positive predictive value was nearly 60%, and sensitivity was 97.4%. Conclusions: Use of relatively few AVMSs may allow nurses to adaptively manage UBEs as antecedents to unassisted falls and fall-related injuries in small rural hospitals. Additional research is needed in larger hospitals to better understand the effectiveness of AVMSs.