Older acutely hospitalized medical patients with walking ability spent 17h/d of their in-hospital time in bed, and the level of in-hospital mobility seemed to depend on the patients' level of basic mobility. The accelerometers were valid in assessing mobility in older medical patients.

Aim Many older medical patients experience persistent functional limitations after hospitalization, such as dependency in activities of daily living, recurring fall incidents and increased mortality. Therefore, increased activity and mobilization during hospitalization are essential to prevent functional decline in older medical patients. No previous studies have explored how the social context influences how health professionals decide whether or not to mobilize patients. This qualitative study aimed to explore how social contextual circumstances affect the mobility of older medical patients in medical departments. Methods An ethnographic field study was conducted in six medical departments in three public hospitals in the capital region of Copenhagen, Denmark. Participant observations were carried out from January to June 2017. The researchers were present for up to 14 days (range, 8–14 days) in the six departments. A total of 210 pages of field notes were produced. The participants were health professionals involved in the care of older medical patients: physiotherapists, registered nurses, nursing assistants and physicians. A content analysis was conducted. Findings Five themes concerning mobility of patients emerged: (1) materialities; (2) professional roles; (3) encouraging moments; (4) patients and relatives; and (5) organization and management. Of these, professional roles seem to be the most important because it pervaded all themes. Different health professionals in the medical departments recognized, spoke and acted based on different cultural models. Conclusion It was found that mobility of older medical patients is entangled in a complex network of social contextual circumstances. Mobility of older medical patients is based on health professionals’ different cultural models, which shape distinct professional identities and lead to contradictions and blurring of the priorities and responsibilities among the health professionals involved in mobilization. The consequence is that no profession “owns” the responsibility for mobilization, thus restricting mobilization of the patients during hospitalization.

ObjectivePhysical performance measures can be used to predict functional decline and increased dependency in older persons. However, few studies have assessed the feasibility or reliability of such measures in hospitalized older patients. Here we assessed the feasibility and inter-rater reliability of four simple measures of physical performance in acutely admitted older medical patients.DesignDuring the first 24 hours of hospitalization, the following were assessed twice by different raters in 52 (≥ 65 years) patients admitted for acute medical illness: isometric hand grip strength, 4-meter gait speed, 30-s chair stand and Cumulated Ambulation Score. Relative reliability was expressed as weighted kappa for the Cumulated Ambulation Score or as intra-class correlation coefficient (ICC1,1) and lower limit of the 95%-confidence interval (LL95%) for grip strength, gait speed, and 30-s chair stand. Absolute reliability was expressed as the standard error of measurement and the smallest real difference as a percentage of their respective means (SEM% and SRD%).ResultsThe primary reasons for admission of the 52 included patients were infectious disease and cardiovascular illness. The mean± SD age was 78±8.3 years, and 73.1% were women. All patients performed grip strength and Cumulated Ambulation Score testing, 81% performed the gait speed test, and 54% completed the 30-s chair stand test (46% were unable to rise without using the armrests). No systematic bias was found between first and second tests or between raters. The weighted kappa for the Cumulated Ambulation Score was 0.76 (0.60–0.92). The ICC1,1 values were as follows: grip strength, 0.95 (LL95% 0.92); gait speed, 0.92 (LL95% 0.73), and 30-s chair stand, 0.82 (LL95% 0.67). The SEM% values for grip strength, gait speed, and 30-s chair stand were 8%, 7%, and 18%, and the SRD95% values were 22%, 17%, and 49%.ConclusionIn acutely admitted older medical patients, grip strength, gait speed, and the Cumulated Ambulation Score measurements were feasible and showed high inter-rater reliability when administered by different raters. The feasibility and inter-rater reliability of the 30-s chair stand were moderate, complicating the use of the 30-s chair stand in acutely admitted older medical patients. However, the predefined modified version of the chair stand test was both feasible and with high inter-rater reliability in this population.

ObjectiveMobility limitations relate to dependency in older adults. Identification of older patients with mobility limitations after hospital discharge may help stratify treatment and could potentially counteract dependency seen in older adults after hospitalization. We investigated the ability of four physical performance measures administered at hospital admission to identify older medical patients who manifest mobility limitations 30 days after discharge.DesignProspective cohort study of patients (≥65 years) admitted to the emergency department for acute medical illness. During the first 24 hours, we assessed: handgrip strength, 4-meter gait speed, the ability to rise from a chair (chair-stand), and the Cumulated Ambulation Score. The mobility level 30 days after discharge was evaluated using the de Morton Mobility Index.ResultsA total of 369 patients (77.9 years, 62% women) were included. Of those, 128 (40%) patients had mobility limitations at follow-up. Univariate analyzes showed that each of the physical performance measures was strongly associated with mobility limitations at follow-up (handgrip strength(women), OR 0.86 (0.81–0.91), handgrip strength(men), OR 0.90 (0.86–0.95), gait speed, OR 0.35 (0.26–0.46), chair-stand, OR 0.04 (0.02–0.08) and Cumulated Ambulation Score OR 0.49 (0.38–0.64). Adjustment for potential confounders did not change the results and the associations were not modified by any of the covariates: age, gender, cognitive status, the severity of the acute medical illness, and the Charlson Comorbidity Index. Based on prespecified cut-offs the prognostic accuracy of the four measures for mobility limitation at follow-up was calculated. The sensitivity and specificity were: handgrip strength(women), 56.8 (45.8–67.3), 75.7 (66.8–83.2), handgrip strength(men), 50.0 (33.8–66.2), 80.8 (69.9–89.1), gait speed, 68.4 (58.2–77.4), 81.4 (75.0–86.8), chair-stand 67.8 (58.6–76.1), 91.8 (86.8–95.3), and Cumulated Ambulation Score, 40.2 (31.6–49.2), 92.0 (87.1–95.4), respectively.ConclusionPhysical performance measures, particularly chair-stand and gait speed assessed at admission to an emergency department, were able to identify mobility limitation in acutely admitted older medical patients 30 days after hospital discharge.

Background: Medication errors due to inaccurate measures of kidney function are common among elderly patients. We investigated differences between estimated glomerular filtration rate (eGFR) based on creatinine and cystatin C and how these differences would affect prescribing recommendations among acutely hospitalized elderly patients. We also identified factors associated with discrepancies between estimates. Methods: Estimated glomerular filtration rate and chronic kidney disease (CKD) classifications were determined for 338 acutely hospitalized elderly patients using equations from Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI), Berlin Initiative Study (BIS) and Cockcroft-Gault (CG). Prescribed renal risk medications were compared with dosing guidelines in Renbase ® . Linear regression models were used to identify explanatory variables for eGFR discrepancies between equations. Muscle weakness was assessed by handgrip strength; inflammation was assessed by smoking status, serum C-reactive protein (CRP), soluble urokinase plasminogen activator receptor (suPAR) and neutrophil gelatinase-associated lipocalin (NGAL); and organ dysfunction was assessed by thyroid-stimulating hormone (TSH) and FI-OutRef. Results: Median eGFR values were 65.5, 60.7, 54.1, 57.1, 55.1 and 57.6 mL/ min/1.73m 2 according to CKD-EPI Cr , CKD-EPI Comb , CKD-EPI Cys , BIS Cr , BIS Comb and CG Cr , respectively. Depending on choice of equation, renal risk medications were prescribed at higher than recommended dose in 13.6% to 22.5% of patients using normalized GFR units and 9.9% to 19.1% of patients using absolute units. Age, handgrip strength, CRP, suPAR, NGAL and smoking status had significant association with eGFR discrepancies between creatinine-and cystatin C-based equations. Conclusions: Significant discrepancies in eGFR and CKD classification were observed when switching between eGFR equations in acutely hospitalized elderly patients. Switching from a creatinine-based equation to its corresponding cystatin C-based equation resulted in lower GFR estimates, and these differences were M. B. Houlind and J. Petersen are sharing last authorship.