Behaviour change interventions to increase physical activity in hospitalised patients: a systematic review, meta-analysis and meta-regression

BACKGROUND

Low physical activity levels are a major problem for people in hospital and are associated with adverse outcomes.

OBJECTIVE

This systematic review, meta-analysis and meta-regression aimed to determine the effect of behaviour change interventions on physical activity levels in hospitalised patients.

METHODS

Randomised controlled trials of behaviour change interventions to increase physical activity in hospitalised patients were selected from a database search, supplemented by reference list checking and citation tracking. Data were synthesised with random-effects meta-analyses and meta-regression analyses, applying Grades of Recommendation, Assessment, Development and Evaluation criteria. The primary outcome was objectively measured physical activity. Secondary measures were patient-related outcomes (e.g. mobility), service level outcomes (e.g. length of stay), adverse events and patient satisfaction.

RESULTS

Twenty randomised controlled trials of behaviour change interventions involving 2,568 participants (weighted mean age 67 years) included six trials with a high risk of bias. There was moderate-certainty evidence that behaviour change interventions increased physical activity levels (SMD 0.34, 95% CI 0.14-0.55). Findings in relation to mobility and length of stay were inconclusive. Adverse events were poorly reported. Meta-regression found behaviour change techniques of goal setting (SMD 0.29, 95% CI 0.05-0.53) and feedback (excluding high risk of bias trials) (SMD 0.35, 95% CI 0.11-0.60) were independently associated with increased physical activity.

CONCLUSIONS

Targeted behaviour change interventions were associated with increases in physical activity in hospitalised patients. The trials in this review were inconclusive in relation to the patient-related or health service benefits of increasing physical activity in hospital.

Consumer Wearables for Patient Monitoring in Otolaryngology: A State of the Art Review

OBJECTIVE

Consumer wearables, such as the Apple Watch or Fitbit devices, have become increasingly commonplace over the past decade. The application of these devices to health care remains an area of significant yet ill-defined promise. This review aims to identify the potential role of consumer wearables for the monitoring of otolaryngology patients.

DATA SOURCES

PubMed.

REVIEW METHODS

A PubMed search was conducted to identify the use of consumer wearables for the assessment of clinical outcomes relevant to otolaryngology. Articles were included if they described the use of wearables that were designed for continuous wear and were available for consumer purchase in the United States. Articles meeting inclusion criteria were synthesized into a final narrative review.

CONCLUSIONS

In the perioperative setting, consumer wearables could facilitate prehabilitation before major surgery and prediction of clinical outcomes. The use of consumer wearables in the inpatient setting could allow for early recognition of parameters suggestive of poor or declining health. The real-time feedback provided by these devices in the remote setting could be incorporated into behavioral interventions to promote patients' engagement with healthy behaviors. Various concerns surrounding the privacy, ownership, and validity of wearable-derived data must be addressed before their widespread adoption in health care.

IMPLICATIONS FOR PRACTICE

Understanding how to leverage the wealth of biometric data collected by consumer wearables to improve health outcomes will become a high-impact area of research and clinical care. Well-designed comparative studies that elucidate the value and clinical applicability of these data are needed.

Physical Activity in Hospitalized Persons With Dementia: Feasibility and Validity of the MotionWatch 8

Persons with dementia are at high risk for hospital-acquired disability, associated with low physical activity during hospitalizations. To determine the effectiveness of efforts to increase physical activity, a valid and reliable measurement approach is required. Data from an ongoing cluster randomized clinical trial examined the feasibility and validity of the MotionWatch 8 (MW8) triaxial actigraphy device. The sample included 321 participants of which 259 (81%) were willing to wear the MW8 for 24 hr. Regression analysis revealed that time in low activity, β = 0.17, t(255) = 2.9, p = .004, and time in moderate activity, β = 0.14, t(255) = 2.4, p = .017, measured by the MW8, were associated with participants' physical function. Engagement in moderate physical activity was associated with return to baseline function at discharge (Wald χ2 = 4.10, df = 1, p = .043). The study provides preliminary support for the feasibility and validity of the MW8 in hospitalized persons with dementia.

Optimization and Validation of a Classification Algorithm for Assessment of Physical Activity in Hospitalized Patients

Low amounts of physical activity (PA) and prolonged periods of sedentary activity are common in hospitalized patients. Objective PA monitoring is needed to prevent the negative effects of inactivity, but a suitable algorithm is lacking. The aim of this study is to optimize and validate a classification algorithm that discriminates between sedentary, standing, and dynamic activities, and records postural transitions in hospitalized patients under free-living conditions. Optimization and validation in comparison to video analysis were performed in orthopedic and acutely hospitalized elderly patients with an accelerometer worn on the upper leg. Data segmentation window size (WS), amount of PA threshold (PA Th) and sensor orientation threshold (SO Th) were optimized in 25 patients, validation was performed in another 25. Sensitivity, specificity, accuracy, and (absolute) percentage error were used to assess the algorithm’s performance. Optimization resulted in the best performance with parameter settings: WS 4 s, PA Th 4.3 counts per second, SO Th 0.8 g. Validation showed that all activities were classified within acceptable limits (>80% sensitivity, specificity and accuracy, ±10% error), except for the classification of standing activity. As patients need to increase their PA and interrupt sedentary behavior, the algorithm is suitable for classifying PA in hospitalized patients.

Core Domains for Research on Hospital Inactivity in Acutely Ill Older Adults: A Delphi Consensus Study

OBJECTIVE

To identify core domains for research studies of physical activity and sedentary behavior during hospitalization for older adults with an acute medical illness.

DESIGN

A 4-Round Delphi consensus process. Round 1 invited responses to open-ended questions to generate items for the core domains research. In rounds 2-4, participants were invited to use a Likert scale (1-9) to rate the importance of each core domain for research studies of physical activity and/or sedentary behavior in hospitalized older adults with an acute medical illness.

SETTING

Online surveys.

PARTICIPANTS

A total of 49 participants were invited to each round (international researchers, clinicians, policy makers and patients). Response rates across rounds 1-4 were 94%, 88%, 83% and 81%, respectively.

INTERVENTIONS

None.

MAIN OUTCOME MEASURES

Consensus was defined a priori as ≥70% of respondents rating an item as "critical" (score≥7) and ≤15% of respondents rating an item as "not important" (score≤3).

RESULTS

In round 2, a total of 9 of 25 core domains reached consensus agreement (physical functioning, general, role functioning, emotional functioning, global quality of life, hospital, psychiatric, cognitive functioning, carer burden). In round 3, an additional 8 reached consensus (adverse events, perceived health status, musculoskeletal, social functioning, vascular, cardiac, mortality, economic). Round 4 participants provided further review and a final rating of all 17 core domains that met consensus in previous rounds. Four core domains were rated as "critically important" to evaluate: physical functioning, social functioning, emotional functioning, and hospital outcomes.

CONCLUSIONS

This preliminary work provides international and expert consensus-based core domains for development toward a core-outcome set for research, with the ultimate goal of fostering consistency in outcomes and reporting to accelerate research on effective strategies to address physical activity and/or sedentary behavior in older adults while hospitalized.

Wearable activity trackers and mobilization after major head and neck cancer surgery: You can't improve what you don't measure

Major surgery involving resection and free flap reconstruction is a mainstay of head and neck cancer (HNC) treatment, but postoperative morbidity and complications are common. One of the foundations for better surgical outcomes is early mobilization, which is included in enhanced recovery guidelines for all surgical specialties. However, a major unsolved challenge with early mobilization after surgery is quantifying how much a patient moves. To date, mobilization after major HNC surgery has been reported as the time to mobilization, i.e. the interval between the date of surgery and the date of the initial meaningful mobilization. Other data on postoperative mobilization in these patients are limited. Although clinicians can document mobilization via multidisciplinary progress notes, an estimate of mobilization for each postoperative day would be subjective and based on observations from several clinicians and/or the recall of the patient. Advancing research on postoperative mobilization requires the ability to objectively measure patient activity, particularly ambulatory activity, without placing a further burden on the inpatient team. Wearable activity trackers may provide a solution. Data from other surgical specialties indicate that such objective monitoring of patient ambulation in real-time to support interventions to increase mobilization may provide opportunities to improve clinical care. Objective measurement of step counts after HNC surgery would lead to an understanding of the dose-response relationship (the required quantity and frequency of mobilization that is safe and beneficial). In conclusion, integration of wearable activity trackers in the care plan for patients undergoing HNC surgery will facilitate the measurement and improvement of postoperative mobilization to reduce complications, improve surgical outcomes and enhance patient recovery.

Patient-centred measurement of recovery from day-case surgery using wrist worn accelerometers: a pilot and feasibility study

This pilot and feasibility study evaluated wrist-worn accelerometers to measure recovery from day-case surgery in comparison with daily quality of recovery-15 scores. The protocol was designed with extensive patient and public involvement and engagement, and delivered by a research network of anaesthesia trainees. Forty-eight patients recruited through pre-operative assessment clinics wore wrist accelerometers for 7 days before (pre-operative) and immediately after elective surgery (early postoperative), and again at 3 months (late postoperative). Validated activity and quality of recovery questionnaires were administered. Raw accelerometry data were archived and analysed using open source software. The mean (SD) number of valid days of accelerometer wear per participant in the pre-operative, early and late postoperative periods were 5.4 (1.7), 6.6 (1.1) and 6.6 (1.0) days, respectively. On the day after surgery, Euclidian norm minus one (a summary measure of raw accelerations), step count, light physical activity and moderate/vigorous physical activity decreased to 57%, 47%, 59% and 35% of baseline values, respectively. Activity increased progressively on a daily basis but had not returned to baseline values by 7 days. Patient questionnaires suggested subjective recovery by postoperative day 3 to 4; however, accelerometry data showed that activity levels had not returned to baseline at this point. All activity measures had returned to baseline by 3 months. Wrist-worn accelerometery is acceptable to patients and feasible as a surrogate measure for monitoring postoperative recovery from day-case surgery. Our results suggest that patients may overestimate their rate of recovery from day-case surgery, which has important implications for future research.