Using a Real-Time Location System for Assessment of Patient Ambulation in a Hospital Setting

Jeong, In Cheol; Bychkov, David; Hiser, Stephanie; Kreif, Julie; Klein, Lisa M.; Hoyer, Erik H.; Searson, Peter C.

doi:10.1016/j.apmr.2017.02.006

Cited by 20 publications

(14 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Two other records were included that described RTLS [ 19 ] using IR and US technology [ 22 ] ( Table 4 ). Jeong et al found that the rate at which IR badges were detected by a sensor was 95.6% [ 22 ]. Another article stated that locating IR badges were accurate enough to detect in which room the badges were present.…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Real-Time Person Identification in a Hospital Setting: A Systematic Review

Essink

Knops

Lung

et al. 2020

Sensors

View full text Add to dashboard Cite

In the critical setting of a trauma team activation, team composition is crucial information that should be accessible at a glance. This calls for a technological solution, which are widely available, that allows access to the whereabouts of personnel. This diversity presents decision makers and users with many choices and considerations. The aim of this review is to give a comprehensive overview of available real-time person identification techniques and their respective characteristics. A systematic literature review was performed to create an overview of identification techniques that have been tested in medical settings or already have been implemented in clinical practice. These techniques have been investigated on a total of seven characteristics: costs, usability, accuracy, response time, hygiene, privacy, and user safety. The search was performed on 11 May 2020 in PubMed and the Web of Science Core Collection. PubMed and Web of Science yielded a total n = 265 and n = 228 records, respectively. The review process resulted in n = 23 included records. A total of seven techniques were identified: (a) active and (b) passive Radio-Frequency Identification (RFID) based systems, (c) fingerprint, (d) iris, and (e) facial identification systems and infrared (IR) (f) and ultrasound (US) (g) based systems. Active RFID was largely documented in the included literature. Only a few could be found about the passive systems. Biometric (c, d, and e) technologies were described in a variety of applications. IR and US techniques appeared to be a niche, as they were only spoken of in few (n = 3) studies.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Othersmentioning

confidence: 99%

Real-Time Person Identification in a Hospital Setting: A Systematic Review

Essink

Knops

Lung

et al. 2020

Sensors

View full text Add to dashboard Cite

show abstract

“…There are multiple systematic methods for assessing functional status, including the Activity Measure for Post-Acute Care (AM-PAC) Inpatient Mobility Short Form (IMSF), the JH-HLM Scale, and the de Morton Mobility Index (DEMMI), among others. Each has been demonstrated as a useful and predictive measurement of mobility [37,[50][51][52][53][54][55]. However, the vast majority of the inpatient early mobility initiatives cited in this paper do not incorporate any systematic quantification method.…”

Section: Discussionmentioning

confidence: 99%

A novel early mobility bundle improves length of stay and rates of readmission among hospitalized general medicine patients

Bergbower

Herbst

Cheng

et al. 2020

Journal of Community Hospital Internal Medicine Perspectives

View full text Add to dashboard Cite

Inpatient early mobility initiatives are effective therapeutic interventions for improving patient outcomes and decreasing use of hospital resources among adult ICU and general medicine patients. To establish and demonstrate guidelines for early patient ambulation, we developed and implemented a novel multidisciplinary mobility bundle utilizing the JH-HLM (Johns Hopkins Highest Level of Mobility) scale for mobility classification, on a single adult general medicine unit of a community hospital. Our results show that patients admitted to the unit after implementation of the mobility bundle had improved mobility scores, reduced rates of 30-day hospital readmission, and a shortened length of hospital stay. This study emphasizes the importance of measuring mobility using a systematic method, easing workflow among unit practitioners, and allowing mobility initiatives to be jointly driven by nursing, physical therapy, and physicians.

show abstract

“…Each category is numbered consecutively from 1 = lying passively in bed to 8 = walking approximately 250 ft or more [ 13 ]. Initially, the JH-HLM scale has been developed to assist healthcare professionals caring for hospitalized general medicine patients [ 12 ]; however, the JH-HLM scale has also been used more recently in hospitalized adults at acute care units[ 17 ], hospitalized geriatric patients[ 18 ], hospitalized adults at a neuroscience/brain rescue unit[ 19 , 20 ], surgical unit[ 21 ] or intensive care unit[ 22 ]. Using a convenience sample of hospitalized adults, Hoyer et al showed that the test–retest reliability values for physical therapists and nurses (Intraclass Correlation Coefficients 0.94 and 0.95, respectively) and interrater reliability values between physical therapists and nurses (Intraclass Correlation Coefficient 0.99) were excellent [ 13 ].…”

Section: Methodsmentioning

confidence: 99%

Extended mobility scale (AMEXO) for assessing mobilization and setting goals after gastrointestinal and oncological surgery: a before-after study

et al. 2022

View full text Add to dashboard Cite

Background Early structured mobilization has become a key element of Enhanced Recovery After Surgery programs to improve patient outcomes and decrease length of hospital stay. With the intention to assess and improve early mobilization levels, the 8-point ordinal John Hopkins Highest Level of Mobility (JH-HLM) scale was implemented at two gastrointestinal and oncological surgery wards in the Netherlands. After the implementation, however, healthcare professionals perceived a ceiling effect in assessing mobilization after gastrointestinal and oncological surgery. This study aimed to quantify this perceived ceiling effect, and aimed to determine if extending the JH-HLM scale with four additional response categories into the AMsterdam UMC EXtension of the JOhn HOpkins Highest Level of mObility (AMEXO) scale reduced this ceiling effect. Methods All patients who underwent gastrointestinal and oncological surgery and had a mobility score on the first postoperative day before (July–December 2018) or after (July–December 2019) extending the JH-HLM into the AMEXO scale were included. The primary outcome was the before-after difference in the percentage of ceiling effects on the first three postoperative days. Furthermore, the before-after changes and distributions in mobility scores were evaluated. Univariable and multivariable logistic regression analysis were used to assess these differences. Results Overall, 373 patients were included (JH-HLM n = 135; AMEXO n = 238). On the first postoperative day, 61 (45.2%) patients scored the highest possible mobility score before extending the JH-HLM into the AMEXO as compared to 4 (1.7%) patients after (OR = 0.021, CI = 0.007–0.059, p < 0.001). During the first three postoperative days, 118 (87.4%) patients scored the highest possible mobility score before compared to 40 (16.8%) patients after (OR = 0.028, CI = 0.013–0.060, p < 0.001). A change in mobility was observed in 88 (65.2%) patients before as compared to 225 (94.5%) patients after (OR = 9.101, CI = 4.046–20.476, p < 0.001). Of these 225 patients, the four additional response categories were used in 165 (73.3%) patients. Conclusions A substantial ceiling effect was present in assessing early mobilization in patients after gastrointestinal and oncological surgery using the JH-HLM. Extending the JH-HLM into the AMEXO scale decreased the ceiling effect significantly, making the tool more appropriate to assess early mobilization and set daily mobilization goals after gastrointestinal and oncological surgery.

show abstract

Using a Real-Time Location System for Assessment of Patient Ambulation in a Hospital Setting

Cited by 20 publications

References 31 publications

Real-Time Person Identification in a Hospital Setting: A Systematic Review

Real-Time Person Identification in a Hospital Setting: A Systematic Review

A novel early mobility bundle improves length of stay and rates of readmission among hospitalized general medicine patients

Extended mobility scale (AMEXO) for assessing mobilization and setting goals after gastrointestinal and oncological surgery: a before-after study

Contact Info

Product

Resources

About