Skip to main content

Table 6 Reported construct validity of GAS in included studies

From: A systematic review to investigate the measurement properties of goal attainment scaling, towards use in drug trials

First author

Year

Drug study

N

Methods and results

Quality

Cusick

2006

Yes

41

Correlations with COMP and GAS Likert scale were measured; no correlation higher than −0.25 or with a p-value lower than 0.05.

+/−

No hypotheses

De Beurs

1993

Yes

40

Correlations with agoraphobia, rating of treatment outcome by therapist, M-BAT, depression and somatic anxiety were measured; GAS has a high correlation with gain scores on agoraphobia (0.63), rating of treatment outcome by therapist (0.43), and M-BAT (0.57). GAS is moderately correlated with depression (0.32), and not significantly correlated with somatic anxiety.

+/−

No hypotheses

Fisher

2002

No

149

Correlations with improvements in walking, general health questionnaire, Oswesty Low Back Pain Disability Questionnaire, NRS and change stand-sit and change PAIRS were measured. There was a significant correlation between GAS and improvements for walking (0.47), between GAS and the general health questionnaire (0.25) and between GAS and the OLBPDQ (−0.31), with p <0.01 for all three. No significant correlations were found between GAS and the NRS and change stand-sit and change PAIRS.

+/−

No hypotheses

Gordon

1999

No

53

Correlations with standard scales of cognition (MMSE and Global Deterioration Scale), behavior (axis 8 of the brief cognitive rating scale), co-morbidity (cumulative illness rating scale), mobility and balance (hierarchical assessment of balance and mobility, HABAM), and functional capacity (Barthel Index); GAS did not correlate well with any of these measures (correlations varied from −0.22 to 0.17).

+/−

No hypotheses

Khan

2008

No

24

Correlation with Barthel Index, Functional Independent Measure and Clinical Global Impression was measured; only the correlation with CGI was significant (−0.77). Also, the difference between responders and non-responders was measured, and a significant difference was found (Z = −3.78, p <0.001).

+/−

No hypotheses

Palisano

1993

No

21

Correlations between GAS T-scores and Peabody Gross Motor Age equivalent change scores were measured; none of these correlations were significant.

+/−

No hypotheses

Rockwood

1993

No

45

Correlations with change scores of Barthel Index, Functional Independent Measure, Mini-Mental State Examination, Katz ADL Index, Physical Self-Maintenance Scale, and Spitzer Quality of Life Index were measured. Correlations varied from −0.87 to 0.84, but it is unclear if these correlations are significant.

+/−

No hypotheses, correlations between change scores

Rockwood

1996

Yes

15

A correlation with change scores is measured between GAS and Alzheimer’s Disease Assessment Scale-cognitive, Global Deterioration Scale, Clinical Global Impression, Mini-Mental State Examination, Physical Self Maintenance Scale, and the Instrumental Activities of Daily Living. Correlations varied from −0.85 to 0.74, but it is unclear if these correlations are significant. A T-test between the placebo and the intervention condition was also performed. The T-test showed no difference (p = 0.54).

+/−

No hypotheses, correlations between change scores

Rockwood

1997

No

44

Correlations with two measurement instruments were measured: Clinical Global Impression (r = 0.73) for change score and (r = 0.63) at discharge.

+/−

No hypotheses

Rockwood

2002

Yes

108

Correlations were measured between several goals within GAS and other measurement instruments. Mini-Mental State Examination and GAS cognition goals: r = 0.51. Alzheimer’s Disease Assessment Scale-cognitive and GAS cognition goals: r = −0.43. Physical Self Maintenance Scale and clinical function goals: r = −0.53. Patient-carer function goals and Physical Self Maintenance Scale: r = −0.47. Patient-carer function goals and Instrumental Activities of Daily Living: r = −0.44.

+/−

No hypotheses

Sheldon

1998

No

82

GAS was correlated with the ‘rated attainment’ scale: r = 0.71 (p <0.001). There was a correlation with autonomy (r = 0.21, p <0.01), later effort (r = 0.42, p <0.01) and autonomous reasons (r = 0.09, p <0.05).

+/−

No hypotheses

Steenbeek

2011

No

23

Correlation with Pediatric Evaluation of Disability Inventory Functional Status Score Mobility: r = 0.64 (p <0.01), correlation with PEDI Selfcare and social function was not significant.

+/−

No hypotheses

Stolee

1999

No

173

Change and follow-up scores of GAS were correlated with Barthel Index, Older Americans Resource Scale Instrumental Activities of Daily Living, Mini-Mental State Examination, Global Rating, Nottingham Health Profile. The correlations varied from −0.31 to 0.67.

+/−

No hypotheses

Turner-Stokes

2009

No

164

Correlations were measured between GAS and Functional Independent Measure and Functional Assessment Measure. Correlations with FIM + FAM scores were moderate: 0.36–0.43 for raw scores, 0.41–0.49 for GAS transformed FIM + FAM scores.

+/−

No hypotheses

Turner-Stokes

2010

Yes

90

Correlations were measured between GAS and a composite spasticity score (MAS), Global Benefit patient report, Global Benefit investigator report, Hospital Anxiety and Depression Scale anxiety and Hospital Anxiety and Depression Scale depression, Pain at rest, Pain on movement, Assessment of Quality of Life, Patient Disability Score, and Carer burden score. Significant correlations between GAS and MAS (0.35), Global benefit patient report (0.46) and Global benefit investigator-report (0.41) were reported. Other correlations were not significant.

+/−

No hypotheses

Turner-Stokes

2013

Yes

456

Correlations between GAS and ‘other measures of outcome, e.g. measures of spasticity, global benefit and other standardized measures’ were calculated. GAS correlated weakly with a reduction in total Modified Ashworth Scale at follow-up (Sp r = 0.28, p <0.0001) and with global assessment of benefit (r = 0.45, p <0.0001 for patient assessment, r = 0.38, p <0.0001 for investigator assessment).

+/−

No hypotheses

Woodward

1978

No

279

GAS scores correlate significantly with other outcome measures: r = 0.12 - 0.39; p <0.05 (in the paper, it is not clear what these other outcome measures are). There was also a difference between the highest and lowest T-score differences: the highest scorers had a mean pre-post score difference of 42.70 (SD = 6.87), the lowest scorers had a mean pre-post difference of 4.05 (SD = 5.78).

+/−

No hypotheses

Yip

1998

No

143

Correlations with the Standardized Mini-Mental State Examination, the modified Barthel Index, the Katz Index of ADL and the IADL subscale of the Older Americans Resources and Services Questionnaire were used to demonstrate the convergent construct validity of the standardized menu of GAS. Spearman correlations were calculated between GAS summary scores at discharge and change scores on the Barthel, Katz, OARS-IADL, and SMMSE. The correlations of the total GAS score with changes on the three measures of function were statistically significant but modest (r = 0.41 to 0.45); the correlation of GAS with the SMMSE change score was not significant (r = 0.11).

+/−

Modest correlations