Journal of Geriatric Physical Therapy最新文献

Background and purpose: A preventative model of physical therapy (PT) care to promote activity and minimize mobility loss with aging is not routine. Performance testing and patient education are recommended to increase the perceived value of results to inform health decision-making. This study evaluated (1) the Single Leg Stance (SLS) test for an annual visit based on a priori criteria and (2) the effect of education on the perceived value of SLS and walking speed test results as health indicators.

Methods: In a cross-sectional study, ambulatory adults aged 55+ completed a pre-survey, performed SLS and walking speed tests, received education about their results, and completed a post-survey. The distribution of test results was displayed with histograms and analyzed for correlations. Participants used a Likert scale to rate how they perceived the value of their test results as health indicators before and after education and their satisfaction with the education received, including a novel pocket card.

Results: On average, participants (n = 152) were 64 years old (age range 55-82), 91% white, and 61% female. Walking speed results were normally distributed, and SLS results demonstrated a ceiling effect. Participants were below published norms for SLS 33% of the time and 34% for walking speed. The SLS test took an average of 3.6 minutes to complete. Binarized results for the tests as at/above and below norms were correlated with χ2 (1, N = 152) = 10.48, P = .001. The test results were significantly more valued as health indicators after education. Seventy-two percent of participants agreed (median rating 4, range 1-5) that they would be interested in PT if their walking speed results were below the norm, and 76% agreed for SLS.

Conclusion: The ceiling effect disadvantages the SLS test with an annual PT visit. Education on test results and comparison to norms increased how older adults valued physical performance measures as health indicators.

Background and purpose: Motivational interviewing, an evidence-based person-centered counseling style, may help to facilitate increased mobility and physical activity after hip fracture. We explored contextual factors influencing the outcome, mechanism, and implementation of motivational interviewing after hip fracture.

Methods: A qualitative study was completed using an interpretive description framework. Data sources included verbatim transcriptions of interviews with purposively sampled patients (n = 18), clinicians (n = 6 including 3 physical therapists), and relevant physical therapy stakeholders (a trial coordinator, a manager, and physical therapists involved in trial recruitment; n = 4), and 128 randomly selected clinician diaries where clinicians recorded notes at the end of each motivational interviewing session. Data were independently coded by 2 researchers and mapped to the Medical Research Council process evaluation framework. Consensus discussions involving all researchers were completed to triangulate the data and develop an interpretive synthesis.

Results: We found 3 main themes and 3 subthemes in the data. The main themes were: (a) It's about life, (b) Walking is not the goal, and (c) It's complicated. The last theme was further developed into a model depicting internal, external, and social factors influencing the outcome, mechanism, and implementation of motivational interviewing after hip fracture. Internal factors related to physical and psychological functioning. External factors included elements related to the environment and health services. Social factors included having a support system, receiving positive feedback, isolation, and feeling overwhelmed. Factors interplayed to create a multitiered model, with the person's life at the center. Traditional rehabilitation was perceived as addressing the physical factors of hip fracture, while motivational interviewing intervention was considered to address the whole person.

Conclusion: Many contextual factors interplay to influence motivational interviewing intervention after hip fracture. For successful hip fracture rehabilitation, our results suggest physical therapists and other care providers address these factors in addition to physical rehabilitation and focus on the person at the center of the process.

Background and purpose: Targeted interventions to maintain physical performance in older adults are important. We aimed to validate an existing 4-item prediction model and, if necessary, develop a new model for early identification of adults aged 65+ with persistent reduced physical performance.

Methods: A temporal validation study on adults aged 65+ admitted to the emergency department for medical reasons and who performed ≤8 repetitions in the 30-second chair-stand test (30s-CST) within the first 48 hours of admission. The primary outcome was the number of 30s-CST repetitions (≤8 or >8) performed at the older adults' homes 3 to 4 weeks after admission.

Physical performance and self-reported data were analyzed using univariate and multivariate logistic regressions. The optimal model was chosen based on the area under the curve.

Results and discussion: The validation of a previously developed 4-item prediction model indicated that the model did not consistently apply to other populations of older adults. To develop a new model aimed at identifying acutely hospitalized older adults with persistent reduced physical performance, we combined 2 samples comprising 132 older adults with a 30s-CST score > 8 and 250 adults with a 30s-CST score ≤ 8 when measured 3 to 4 weeks after admission. The new model included 5 variables: age >80, female, self-reported difficulties in climbing a flight of stairs, less good/poor self-rated health, and a 30s-CST score ≤ 5. The model had an area under the curve of 84%. The model is expected to improve the identification of older adults with persistent reduced physical performance compared to health professionals' subjective assessments and/or adults' self-reported information.

Conclusions: The initial 4-item prediction did not consistently apply to other populations of older adults. Consequently, 2 samples were combined and a 5-item model was developed. Since the model involves only 5 items, it is easy to implement and provides health professionals an opportunity for targeted intervention on older adults during and after acute hospitalization. A validation study for the 5-item model is necessary.

Background and purpose: Older adults following an inpatient geriatric rehabilitation (GR) program commonly experience adverse health outcomes such as hospital readmission, institutionalization, and mortality. Although several studies have explored factors related to these outcomes, the influence of admission reason on the predictive factors of adverse health outcomes in the rehabilitation process remains unclear. Therefore, this study aimed to identify predictive factors for adverse health outcomes in inpatients attending GR according to their admission reason.

Methods: This retrospective study included patients with orthogeriatric (OG) conditions and patients with hospital-associated deconditioning (HAD) admitted to GR after an acute hospitalization between 2016 and 2020. Patients were evaluated by a comprehensive geriatric assessment at admission, including sociodemographic data, social resources, clinical data, cognitive, functional and nutritional status, and physical performance measurements. Adverse health outcomes were collected (hospital readmission, institutionalization, and mortality). Univariate analyses and multivariate backward binary logistic regressions were used to determine predictive factors.

Results and discussion: In this study, 290 patients were admitted for OG conditions, and 122 patients were admitted due to HAD. In patients with OG conditions, lower Mini-Mental State Examination (MMSE) predicted institutionalization and mortality. Lower Mini Nutritional Assessment-Short Form predicted institutionalization, whereas lower Barthel Index and lower Tinetti-Performance-Oriented Mobility Assessment scores were associated with higher mortality. In patients with HAD, higher age-adjusted comorbidity index predicted hospital readmission and mortality, and lower Short Physical Performance Battery scores predicted institutionalization and mortality. Finally, lower MMSE scores, worse values in Older Americans Resources and Services Scale and male gender were associated with a higher risk of institutionalization.

Conclusions: Predictive factors for hospital readmission, institutionalization, and mortality in patients with OG conditions and HAD during GR were different. Some of those predictors, such as nutritional status and physical performance, are modifiable. Understanding predictive factors for adverse outcomes, and how these factors differ by admission diagnosis, improves our ability to identify patients most at risk. Early identification of these patients could assist with prevention efforts and lead to a reduction of negative outcomes.

Background: The purpose of this study is to stratify the age at which older adults are most likely to sustain injuries and major complications resulting from low-energy falls so that fall prevention strategies may be targeted to more susceptible age groups.

Methods: A consecutive series of 12 709 patients older than 55 years enrolled in an orthopedic trauma registry from October 2014 to April 2021 were reviewed for demographic factors, hospital quality measures, and outcomes. Patients were grouped by age brackets in 5-year intervals. Comparative analyses were conducted across age groups with an additional post hoc analysis comparing the 75- to 79-year-old cohort with others. All statistical analyses were conducted utilizing a Bonferroni-adjusted alpha.

Results: Of the 12 709 patients, 9924 patients (78%) sustained a low-energy fall. The mean age of the cohort was 75.3 (range: 55-106) years and the median number of complications per person was 1.0 (range: 0-7). The proportion of females increased across each age group. The mean Charlson Comorbidity Index increased across each age group, except in the cohort of 90+ years of age. There was a varied distribution of fractures among age groups with the incidence of hip fractures most prominently increasing with age. Complication rates varied significantly between all age groups. Between the ages of 70 to 74 years and 80 to 84 years, there was a 2-fold increase in complication rate, and between the ages of 70 to 74 years and 75 to 79 years, there was a near 2×/1.5×/1.4× increase in inpatient, 30-day, and 1-year mortality rate, respectively. When controlling for confounding demographic variables between age groups, the rates of complications and mortality still differed.

Conclusions: Fall prevention interventions, while applicable to all older adult patients, could improve outcomes by offering additional resources particularly for individuals between 70 and 80 years of age. These additional resources can help minimize excessive hospitalizations, prolonged lengths of stay, and the detrimental complications that frequently coincide with falls. Although hip fractures are the most common fracture as patients get older, other fractures still occur with frequency, and fall prevention strategies should account for prevention of these injuries as well.

Background and purpose: There is a high frequency of frailty in patients with musculoskeletal pain. Pain from osteoarthritis and lower back pain may be associated with frailty. However, the future risk of frailty among older adults with pain remains unclear. Thus, the primary objective of this study was to examine the association between musculoskeletal pain and the risk of becoming prefrail and frail in older adults.

Participants and methods: A secondary analysis was performed using data from baseline and 1-, 2-, 3-, 4-, 6-, and 8-year follow-ups of the Osteoarthritis Initiative (OAI). The OAI recruited participants from 4 clinical sites in the United States, between February 2004 and May 2006. A self-reported questionnaire was used to determine the baseline musculoskeletal pain status in older adults (n = 1780) 65 years and older, including pain in the lower back, hip, knee, and at 2 or more sites. Using the Fried phenotypic criteria, participants were classified as nonfrail, prefrail, and frail at each period over 8 years.

Results: After adjusting for age, sex, race, education, marital status, annual income, smoking status, comorbidities, and body mass index, binary logistic regression modeling using generalized estimating equations revealed that in older adults musculoskeletal pain in the lower back and at multiple sites was associated with a slightly but significantly decreased risk of prefrailty over time (adjusted odds ratio [AOR] = 0.98, 95% CI = 0.95-0.99, P = .019; AOR = 0.96, CI = 0.92-0.99, P = .032). The association between musculoskeletal pain and frailty among older adults was not statistically significant (all P > .05).

Conclusions: Musculoskeletal pain did not independently significantly increase the risk of prefrailty or frailty over time. It remains possible that when musculoskeletal is combined with other factors, the risk of prefrailty and frailty may be heightened. Further research into the combination of characteristics that best predict prefrailty and frailty, including but not limited to musculoskeletal pain, is warranted.