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. 2022 May 23;19:59. doi: 10.1186/s12966-022-01261-9

Table 1.

Characteristics of included RCT’s

Author (year) Population Group characteristics, sample size; n, male; n(%), age; mean ±SD Setting Intervention Control PA outcome measure(s)a PF performance-based outcome measure(s)a PF patient reported outcome measurea Short conclusion
Descriptive duration Coaching by a health professional Theory used Type of activity tracker

Atkins (2019)

[57]

Patients with lower initial function independence measure scores and longer anticipated length of stay.

Intervention:

n = 39, 20 (51), 74 ± 17

Control:

n = 39, 12 (31), 78 ± 18

During inpatient rehabilitation Usual care + pedometer with feedback on step count 1 month* No NA Yamax Digiwalker SW200 pedometer Usual care + pedometer without feedback on step count.

aSteps/day (D)

Daily upright time

aMorton mobility index (DEMMI) (P) NA Pedometers without targets do not improve functional mobility

Brandes (2018)

[46]

Patients after primary, unilateral joint replacement due to knee or hip osteoarthritis

Intervention:

n = 23, 11 (48), 71 ± NA

Control:

n = 26, 12 (46),

70 ± NA

During inpatient rehabilitation Usual care + activity tracker with physical activity counselling with tailored approach by adding +5% in daily steps compared to the previous days 3 weeks* Yes (RL) NA Step Activity Monitor 3.0 Usual care

aSteps/day

a(P, FU)

Active minutes/day

Inactive time

NA aOxford hip/knee score (P, FU) PA counselling during inpatient rehabilitation did not improve PA or functional outcomes

Christiansen (2020)

[49]

Patients after a unilateral total knee replacement

Intervention:

n=20, 12 (60), 66.5 ± 6.9

Control:

n=23, 8 (35), 67.5 ± 7.2

After hospital discharge Usual outpatient physiotherapy care + activity tracker with weekly steps/day goal and monthly follow-up calls 10 weeks outpatient physiotherapy* + 6 months follow up Yes (RL+OD) NA Fitbit Zip Usual outpatient physiotherapy care

aSteps/day

a(P, FU)

Minutes in moderate – vigorous PA

NA NA A PA intervention with supervision is feasible and may increase PA

Creel (2016)

[55]

Patients after bariatric surgery

Intervention 1:

n = 52, 8 (15), 42 ± 11

Intervention 2:

n = 48, 8 (17), 44 ± 12

Control:

n = 50, 8 (16), 44 ± 11

After hospital discharge

1)Pedometer intervention: Usual care + Pedometer + information sheet to increase PA to 10.000 steps/day

2)Counseling intervention: Usual care + Pedometer + exercise counseling with Motivational Interviewing (MI)

6 months

1)No

2)Yes (RL)

1)NA

2)Self-determination theory

Omron HJ 113 pedometer Usual care

aSteps/day

a(D, P)

% time spent in sedentary activity

aSubmaximal graded exercise test (P) NA A counselling intervention using pedometers increased PA in the perioperative period

Dorsch (2015)

[38]

Patients with stroke

Intervention:

n = 78, 31 (40), 62 ± 16

Control:

n = 73, 28 (38), 65 ± 13

During inpatient rehabilitation Speed feedback + results and feedback on their summary activity graphs with a therapist 21 days* Yes (RL) NA Tri-axial accelerometer (Gulf Coast Data Concepts)

Speed feedback only:

verbal feedback about walking speed after 10m walking test.

aTime spent walking (P)

a3-minute walking test (P)

150m walking speed test

NA Augmented feedback did not improve walking outcomes

Frederix (2015)

[43]

Patients with acute coronary syndrome after a percutaneous coronary intervention or coronary artery bypass graft

Intervention:

n = 32, 26 (81), 58 ± 9

Control:

n = 34, 29 (85), 63 ± 10

During phase II cardiac rehabilitation. Exercise training at home with telemonitoring support with accelerometers to encourage patients to increase his/her daily amount of steps wit 10% each week from baseline. 18 weeks No NA Triaxial accelerometer (Yorbody company) Exercise training in the hospital’s rehabilitation centre NA aMaximal cardio-pulmonary exercise test (P) NA PA monitoring might be effective to maintain exercise tolerance

Hassett (2020)

[42]

Adults with mobility limitations undertaking aged care and neurological inpatient rehabilitation

Intervention:

n = 149, 77 (52), 70 ± 18

Control:

n = 151, 74 (49), 73 ± 15

During and after inpatient rehabilitation Usual care + activity monitor, virtual reality video games and handheld computer devices with support by a physiotherapist 6 months Yes (RL+OD) NA Fitbit Zip, One and Alta Usual care

aSteps/day (D,P)

Time spent walking/day

% of the day spent upright

aShort Physical Performance Battery (SPPB) (P)

DEMMI

Step test

NA The use of digitally enabled rehabilitation improved mobility

Hornikx (2015)

[54]

Patients with COPD, hospitalized for an exacerbation of COPD

Intervention:

n = 15, 8 (53), 66 ± 7

Control:

n = 15, 9 (60), 68 ± 6

After hospital discharge Pedometer + physical activity counselling with personalized goals 1 month Yes (OD) NA Fitbit Ultra pedometer Usual care

aSteps/day (P)

Time spent walking/day

aSix minutes walking test (P)

Quadriceps muscle strength

NA PA counselling with pedometer feedback did not improve PA or clinical outcomes

Houle (2011)

[44]

Patients < 80 years hospitalized for an acute coronary syndrome

Intervention:

n = 32, 26 (81), 58 ± 8

Control:

n = 33, 25 (76), 59 ± 9

After hospital discharge Home based cardiac rehabilitation program + pedometer + exercise counseling by clinical nurse specialist with a target of 3000 steps per day increment in physical activity 12 months Yes (RL+OD) Social Cognitive theory Yamax Digiwalker SW-200 Usual care

aSteps/day

a(D, P)

NA NA A pedometer intervention was useful to improve average steps/day

Izawa (2005)

[37]

Patients after completion of an acute-phase inpatient cardiac rehabilitation program

Intervention:

n = 24, 21 (88), 64 ± 10

Control:

n = 21, 17 (81), 65 ± 10

After inpatient rehabilitation Usual care + self-monitoring of physical activity with feedback from a physical therapist 5 months Yes (RL) Bandura’s self-efficacy theory Kenz Liferecorder pedometer Usual care Steps/day (FU)

aCardio-pulmonary exercise test (P)

Hand grip strength

Quadriceps muscle strength

NA Self-monitoring of PA may effectively increase PA

Izawa (2012)

[45]

Consecutive cardiovascular patients

Intervention:

n = 52, 41 (79), 59 ± 8

Control:

n = 51, 42 (82), 59 ± 13

During hospitalization until the first outpatient contact with a physician after discharge. Usual care + self-monitoring of physical activity with feedback from a physical therapist 7 weeks* Yes (RL) Self-efficacy theory of Bandura and Oka Kenz Lifecorder EX 1-axial accelerometer Usual care aSteps/day (P) NA NA Self-monitoring of PA might effectively increase PA

Kanai (2018)

[39]

Patients with acute ischemic stroke

Intervention:

n = 23, 15 (65), 67 ± 10

Control:

n = 25, 13 (52), 63 ± 9

During hospitalization Usual care + self-monitoring of physical activity with feedback from a physical therapist 12 days* Yes (RL) Self-efficacy theory of Bandura Fitbit One Usual care aSteps/day (P) NA NA Exercise training with accelerometer-based feedback effectively increased PA

Lawrie (2018)

[40]

Patients with recent stroke during rehabilitation

Intervention:

n = 14, 10 (71), 53 ± 12

Control:

n = 16, 13 (81), 62 ± 12

During inpatient rehabilitation Usual care + smartwatch with visual feedback and a set goals based on a 5% increase in the total activity. 3 weeks* No NA ZGPAX S8 Android smartwatch Usual care + smartwatch with limited visual feedback without goal setting. NA

aBarthel Index (P)

10m walk test

Hand grip strength

NA No effect was found on functional outcome

Mansfield (2015)

[41]

Patients with sub-acute stroke attending inpatient rehabilitation

Intervention:

n =29, 20 (69), 64 ± 19

Control:

n = 28, 16 (57), 62 ± 13

During inpatient rehabilitation Usual care + accelerometer-based daily walking activity reports with feedback from a physical therapist 2 weeks* Yes (RL) NA Two tri-axial accelerometers (Gulf Data Concepts) Usual care

aSteps/day (P)

Time spent walking/day

a6-meter walk test (P) NA Feedback did not increase the amount of walking

Mehta (2020)

[50]

Patients after hip or knee arthroplasty

Intervention:

n=118, 38 (24), median age 66 (IQR 60-73)

Control:

n=124, 25 (20), median age 66 (IQR 57-73)

After hospital discharge

1) Intervention A: Usual care + remote monitoring alone

2)Intervention B: Usual care + remote monitoring with gamification and social support

45 days

1)No

2)No

NA Withings physical activity monitor Usual care NA aTimed up and Go test (P) NA PA monitoring did not improve functional outcomes

Moller (2015)

[53]

Inactive patients with breast or colon cancer referred to adjuvant chemotherapy

Intervention:

n = 14, 1 (7),

48 ± 8

Control:

n = 16, 2 (13), 47 ± 9

After surgery, during adjuvant chemotherapy Usual care + Home-based individual progressive pedometer intervention with health promotion counselling and symptom management by a clinical nurse specialist 12 weeks Yes (RL) NA Omron Walking Style Pro pedometer Usual care NA

aCardio-respiratory fitness test (P)

Muscle strength (leg press and chest press)

NA No effect was found on functional outcomes

Peel (2016)

[56]

Patients admitted to post-acute care rehabilitation (aged 60 years and older)

Intervention:

n = 128, 50 (39), 81 ± 9

Control:

n = 127, 57 (45), 82 ± 8

During inpatient rehabilitation Usual care + accelerometer based feedback and goal setting on daily walking time by therapist 4 weeks Yes (RL) NA Triaxial ALIVE Heart and Activity Monitors and ActivPAL Usual care

aNon-therapy walking time

a(D, P)

aShort Physical Performance Battery (SPPB) (P) NA Daily feedback on PA using accelerometers increased walking time

Pol (2019)

[47]

Patients > 65 years old after hip fracture

Intervention:

n =76, 11 (14), 84 ± 7

Control:

n =87, 21 (24), 83 ± 7

During and after institutional-ization in a skilled nursing facility Usual occupational care + Cognitive Behavioural Treatment (CBT) + sensor monitoring 4 months Yes (RL) Self-efficacy theory of Bandura PAM AM300 Usual occupational care + CBT NA

aPerformed-Oriented Mobility Assessment (POMA)

a(P, FU)

Timed up and Go test

aCanadian Occupational Performance Measure (COPM) – performance scale (P, FU) Sensor monitoring occupation therapy was more effective in improving patient reported daily functioning than usual care

Van der Meij (2018)

[51]

Adult patients scheduled for laparoscopic adnexal surgery, laparoscopic or open hernia inguinal surgery or laparoscopic cholecystectomy

Intervention:

n = 173, 78 (45), 52 ± NA

Control:

n = 171, 79 (46), 51 ± NA

During and after hospitalization Usual care + Personalized E-health program including self-monitoring on PA 6 weeks Yes (OD) NA UP MOVE, Jawbone Usual care NA NA

aPatient Reported Outcomes Measurement Information System (PROMIS) – Physical Functioning

a(P)

A personalised e-health program speeds up the return to normal activities compared to usual care

Van der Walt (2018)

[48]

Adults undergoing primary elective hip or knee arthroplasty

Intervention:

n = 81, 45 (56), 67 ± 9

Control:

n = 82, 36 (44), 66 ± 9

During and after hospitalization Usual care + activity tracker with daily step goals 6 weeks No NA Garmin Vivofit 2 Usual care + activity tracker with obscured display

a% of preoperative step count

a(D, P, FU)

NA Knee Injury and osteoarthritis outcome score (KOOS) (FU) Patients who received feedback from a activity tracker had significant higher activity levels

Wolk (2019)

[52]

Patients scheduled for elective open and laparoscopic surgery of the colon, rectum, stomach, pancreas or liver.

Intervention:

n = 27, 16 (59),

61 ± 10

Control:

n = 27, 19 (70), 56 ± 11.1

During the first 5 postoperative days Usual care + activity trackers with daily step goals 5 days No NA Polar Loop activity tracker Usual care + activity tracker with obscured display aSteps/day (P)

NA not applicable, *dependent on admission time, RL real life, OD on distance, D during the intervention, P post-intervention, FU long term follow up, aBold = included in meta-analysis