| Literature DB >> 27863475 |
Daniel Gutiérrez-Sánchez1, Juan P Leiva-Santos2, Rosa Sánchez-Hernández3, Domingo Hernández-Marrero4,5, Antonio I Cuesta-Vargas6,7.
Abstract
BACKGROUND: Patients with chronic kidney disease (CKD) have a high symptoms burden that is related to a poor health-related quality of life (HRQoL) and high costs of care. Validated instruments may be useful for assessing the symptoms and monitoring outcomes in these patients. The Palliative care Outcome Scale-Symptoms Renal (POS-S Renal) is a patient-reported outcome measure for assessing symptoms in CKD stage 4-5. This study is the first cross-cultural adaptation and psychometric analysis of this clinical tool. The purpose of this study is to carry out a cross-cultural adaptation of the POS-S Renal for Spanish-speaking patients, and to perform an analysis of the psychometric properties of this questionnaire.Entities:
Keywords: ACKD; Outcome measure; Psychometrics; Symptoms
Mesh:
Year: 2016 PMID: 27863475 PMCID: PMC5116210 DOI: 10.1186/s12882-016-0402-8
Source DB: PubMed Journal: BMC Nephrol ISSN: 1471-2369 Impact factor: 2.388
Fig. 1Flowchart of the translation of the POS-S Renal from English to Spanish. Two forward translations were performed by two translators. Two native English translators performed a backward translation. The back-translated version was compared with the original version to create a consensus document, which was pilot tested to provide a final version
Socio-demographic and Clinical Characteristics of the Sample (N = 200)
| Characteristics | Tota ( | Conservative management group ( | Dialysis group ( |
|---|---|---|---|
| Age (mean, SD) | 66.45 (±14.5) | 69.65 (±12.8) | 59.15 (±15.4) |
| Gender | |||
| Male | 130 (65%) | 95 (68%) | 35 (57.4%) |
| Female | 70 (35%) | 44 (32%) | 26 (42.6%) |
| Ethnicity | |||
| Caucasian | 199 (99.5%) | 138 (99.3%) | 61 (100%) |
| Spanish descent | 193 (96.5%) | 132 (94.9%) | 61 (100%) |
| British descent | 3 (1.5%) | 3(2.2%) | 0 (0%) |
| German descent | 3 (1.5%) | 3(2.2%) | 0 (0%) |
| Indian | 1 (0.5%) | 1(0.7%) | 0 (0%) |
| Marital status | |||
| Married | 134 (67%) | 94 (68%) | 40 (65.6%) |
| Not married | 66 (33%) | 45 (32%) | 21 (34.4%) |
| Causes of CKD | |||
| Renal vascular disease | 66 (33%) | 56 (40.5%) | 10 (16.4%) |
| Diabetic nephropathy | 32 (16%) | 22 (16%) | 10 (16.4%) |
| Primary glomerular disease | 17 (8.5%) | 9 (6.5%) | 8 (13.1%) |
| Polycystic kidneys | 13 (6.5%) | 8 (6%) | 5 (8.2%) |
| Unknown aetiology | 27 (13.5%) | 19 (14%) | 7 (11.5%) |
| Others | 45 (22.5%) | 24 (17%) | 21 (34.4%) |
| Barthel index (mean, SD) | 94.8 (±9.8) | 94.93 (±9.5) | 94.59 (10.3%) |
| Charlson comorbidity index | |||
| 2–3 | 83 (41.5%) | 56 (40.3%) | 27 (44.3%) |
| 4–5 | 85 (42.5%) | 58 (41.7%) | 27 (44.3%) |
| ≤ 6 | 32 (16%) | 25 (18%) | 7 (11.4%) |
Total Variance Explained
| Factor | Eigenvalues | ||
|---|---|---|---|
| Total | % of Variance | Cumulative % | |
| 1 | 4.472 | 24.843 | 24.843 |
| 2 | 1.838 | 10.210 | 35.053 |
| 3 | 1.332 | 7.398 | 42.450 |
| 4 | 1.267 | 7.037 | 49.488 |
| 5 | 1.070 | 5.943 | 55.431 |
| 6 | 1.005 | 5.582 | 61.013 |
Extraction Method: Maximum Likelihood
a. When factors are correlated, sums of squared loadings cannot be added to obtain a total variance
Fig. 2Scree plot of the exploratory two factor solution
Factor Structure of Rotated Component Matrix
| Item | Component | |
|---|---|---|
| 1 | 2 | |
| Pain | 0.555 | −0.162 |
| Shortness of breath | 0.497 | −0.318 |
| Weakness or lack of energy | 0.547 | −0.379 |
| Nausea | 0.251 | −0.779 |
| Vomiting | 0.196 | −0.694 |
| Poor appetite | 0.398 | −0.236 |
| Constipation | 0.305 | −0.001 |
| Mouth problems | 0.558 | −0.305 |
| Drowsiness | 0.433 | −0.320 |
| Poor mobility | 0.672 | −0.050 |
| Itching | 0.361 | −0.317 |
| Difficulty sleeping | 0.506 | −0.386 |
| Restless legs | 0.150 | −0.223 |
| Feeling anxious | 0.537 | −0.303 |
| Feeling depressed | 0.586 | −0.218 |
| Changes in skin | 0.329 | −0.345 |
| Diarrhoea | 0.187 | −0.486 |
| Muscle cramps | 0.229 | −0.358 |
Extraction Method: Maximum Likelihood. Rotation Method: Oblimin with Kaiser Normalisation. Suppression at 0.35
Fig. 3Confirmatory factor analysis of the two factor model of the Spanish version of POS-S Renal