Sentence examples for autonomy measurement from inspiring English sources

Exact(25)

Functional Autonomy Measurement System (FAMS) – to measure impairments and social roles that cannot be accomplished.

Eligibility criteria were: 1) good cognitive functions (score on the Mini-Mental State Examination [ 47] equal to or above the 25th percentile for age and schooling [ 48]); 2) good understanding of French or English; and 3) a level of activity corresponding to one of the three equal-sized groups created accordingly, as measured by the Functional Autonomy Measurement System (SMAF) [ 49].

Functional autonomy of the resident was measured according to the Functional Autonomy Measurement System (SMAF) [ 42].

Functional autonomy was measured according to the Functional Autonomy Measurement System (SMAF) [ 38].

The Functional Autonomy Measurement System (SMAF) is a 29-item scale measuring functional ability in five different areas.

The level of disability in performing activities of daily living (ADL) was measured using a subscale of the Functional Autonomy Measurement System (SMAF) [ 28, 29].

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Similar(35)

To promote patient autonomy: self-measurement of blood pressure and blood glucose control.

We will employ secondary outcomes that we expect to change as a result of the intervention and could explain the effect of the intervention on the primary outcomes; including the measurement of autonomy support, perceived competence, autonomous and controlled motivation, as well as fear avoidance as it relates to physical activity.

Although there is some evidence on how to improve quality of life and autonomy of clients, and several measurement instruments are available, the Autonomy and Control collaboratives had some difficulty in formulating specific measurable achievable relevant time-based targets and setting up the measurement.

For the other projects on Autonomy and Control, no comparable measures across teams and measurements were used, and thus the effectiveness of these projects cannot be assessed.

This research builds on advanced empirical measurement models of women's autonomy in India, testing whether individual level autonomy or community level effects are most pronounced in influencing women's fertility outcomes.

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