- Open Access
Validation of a Spanish version of the Spine Functional Index
© Cuesta-Vargas and Gabel; licensee BioMed Central Ltd. 2014
- Received: 15 October 2013
- Accepted: 26 April 2014
- Published: 27 June 2014
The Spine Functional Index (SFI) is a recently published, robust and clinimetrically valid patient reported outcome measure.
The purpose of this study was the adaptation and validation of a Spanish-version (SFI-Sp) with cultural and linguistic equivalence.
A two stage observational study was conducted. The SFI was cross-culturally adapted to Spanish through double forward and backward translation then validated for its psychometric characteristics. Participants (n = 226) with various spine conditions of >12 weeks duration completed the SFI-Sp and a region specific measure: for the back, the Roland Morris Questionnaire (RMQ) and Backache Index (BADIX); for the neck, the Neck Disability Index (NDI); for general health the EQ-5D and SF-12. The full sample was employed to determine internal consistency, concurrent criterion validity by region and health, construct validity and factor structure. A subgroup (n = 51) was used to determine reliability at seven days.
The SFI-Sp demonstrated high internal consistency (α = 0.85) and reliability (r = 0.96). The factor structure was one-dimensional and supported construct validity. Criterion specific validity for function was high with the RMQ (r = 0.79), moderate with the BADIX (r = 0.59) and low with the NDI (r = 0.46). For general health it was low with the EQ-5D and inversely correlated (r = −0.42) and fair with the Physical and Mental Components of the SF-12 and inversely correlated (r = −0.56 and r = −0.48), respectively. The study limitations included the lack of longitudinal data regarding other psychometric properties, specifically responsiveness.
The SFI-Sp was demonstrated as a valid and reliable spine-regional outcome measure. The psychometric properties were comparable to and supported those of the English-version, however further longitudinal investigations are required.
- Outcome measure
Patient reported outcome (PRO) measures [1, 2] are a required and integral part of the patient health management process. The PROs provide objective responses on status and function that assist clinicians, surgeons and researchers to track a patients progress and determine if status has changed. These changes, or the lack, can be a consequence of natural healing or an intervention, be that conservative or surgical . This external quantification process has been progressively adopted and accurately reflects the patient’s health status by means of a self-report methodology. This process has progressively superseded the traditional model of therapist determined clinical signs and symptoms and generic quality of life measures. In this way the clinicians' and researchers’ understanding of how the patient’s function and symptoms have changed, over time or in response to an intervention, can be rapidly assimilated. This is applicable for a wide range of conditions, diseases and injuries and assists the progressive management through recognition of the effects on the patient's capabilities . As this patient focused paradigm of management has been adopted and progressed in musculoskeletal medicine over the last two decades, there has been a gradual shift from condition or disease specific measures towards the use of region specific PROs. These regional tools reflect the status and any changes within the three key kinetic-chain regions of the upper limb , lower  limb and spine . Consequently they are adopted more frequently as the standard protocol for measurement and assessment of functional status .
The Spine Functional Index (SFI) is a recently proposed whole-spine regional PRO. Published in 2013, the SFI was shown to have strong clinimetric properties for both the psychometric and practical characteristics . These included reliability, validity, responsiveness, error measurement and internal consistency as well as brevity, rapid transfer to a 100-point or percentage scale, ease and brevity for completion, low missing responses, suitable readability and a single factor structure  that enables summation to a single unique score . The findings also showed preferable clinimetric properties to the Functional Rating Index  for the whole spine . The translation to a Spanish version was warranted as it would support the comparable findings for the functional index series that include the upper limb  and lower limb , each of which was found to be preferable to recognized and advocated English criterion PROs both within the original development studies and within independent research that included Spanish and other language translated versions [11–13].
A Spanish version of the SFI was not yet developed or validated. Given that Spanish is one of the five most spoken languages and the world’s second widest geographically spoken language , it would seem appropriate for a SFI Spanish version (SFI-Sp) to be developed to meet this need. Consequently the aims of this paper were: to describe the translation and cross-cultural adaptation process of the English SFI version to Spanish; and to assess for clinical use with Spanish speakers the critical psychometric properties of reliability, factor structure, internal consistency and concurrent criterion validity. An a-priori hypothesis for criterion validity was that it would be high to moderate for back and neck region specific PROs and low to moderate and inversely related to general health PROs or their subcategory components.
A two-stage observational study design was employed. Stage 1 involved the initial Spanish translation and cross-cultural adaptation of the SFI . Stage 2 involved prospective evaluation of the SFI-Sp’s four critical psychometric properties through concurrent completion in a physical therapy outpatients’ setting.
All study participants completed five questionnaires. These included two generic health measures, the SFI and a regional specific PRO for the neck or back depending on the patients diagnosis and primary symptomatic region, For the neck a single PRO was used - the Neck Disability Index (NDI)  while for the back two PROs were concurrently employed - the Roland Morris Questionnaire (RMQ)  and the Backache Index (BADIX) . The approach enabled a criterion specific comparison for the whole-spine by region, while clarification and criterion comparison of the participants’ health status was provided by the EuroQol Health Questionnaire 5 Dimensions (EQ-5D)  and the Short Form twelve (SF-12) . Two assessors performed all initial and subsequent assessments but were blinded to baseline scores to ensure independent collection of outcome data.
Stage 1 - translation of the SFI to the “SFI-Sp”
Stage 2 - prospective psychometric investigation
Participants, setting and procedure
A total of 226 consecutive volunteers (48 ± 19 years, 54.4% female) were diagnosed by a general practitioner (GP) with non-specific low back pain of a mechanical and degenerative nature using Waddell’ s classification for acute and chronic conditions . All participants were then referred to two Spanish physiotherapy outpatient clinics. Exclusion criteria were refusal to participate in the study, low back pain (LBP) as a result of a specific spinal disease, infection, presence of a tumor, osteoporosis, fracture, structural deformity, inflammatory, disorder, radicular symptoms or cauda equina syndrome.
Demographic characteristics and frequency of diagnosis of the study population
Age (years) Mean (sd)
45 ± 7
47 ± 6
46 ± 8
46 ± 4
39 ± 6
50 ± 4
46 ± 6
Spine functional index (SFI)
The SFI is a 25-item regional PRO with a 3-point response option of ‘Yes’ , ‘Partly’ and No’ that requires around one minute to complete. The score is calculated from simple addition of the responses then multiplied by four to provide a percentage scale and subtracted from 100 to give a functional score relative to the patients’ pre-injury or normal status. Up to two missing responses are permitted .
Neck disabilities index (NDI)
The NDI is a ten-item questionnaire that requires the user to select one of six statements per item question that best describes their individual status at that time [14, 22]. According to Young et al. . the NDI is a PRO scale dealing with impairments in bodily function (i.e., reading, concentration) that can be considered as psychological constructs . It also considers items dealing with physical limitations of function (i.e., lifting, driving) . Each question-item has six potential responses ranging in severity from zero (no disability) to five (most severe disability) with a maximum total score of 50 points. This is subsequently multiplied by two to provide a percentage scale where 100% indicates most severe disability, 0% indicates no disability. The cut-off scores for the NDI are recognised as ≤8 NDI-points reflects no disability or recovered and >28 NDI-points indicates moderate to severe disability or severity [14, 21].
Roland Morris questionnaire (RMQ)
The RMQ is a 24 item back-specific scale derived from the Sickness Impact Profile  by addition of the phrase “because of my back”. Each item is answered “yes” or “no” where each positive response is scored as 1 and each negative response (question without mark) is scored 0. This yields a final score ranging from 0 (no disability) to 24 (maximum disability). The reliability of the Spanish version is reported at CCI =0.87 .
Backache disability index (BADIX)
The “Backache Disability Index” for LBP or BADIX includes a rating of 5 trunk movements in the erect position resulting in a “Backache Index (BAI)”, and one “Morning Back Stiffness (MBS)” score. The sum of the BAI and MBS gives the BADIX (max. 20 points) .
The BAI consists of one flexion test, lateral flexion bilaterally and extension combined with both sides of lateral flexion. The results are recorded on a specific form on which the 4-point score per outcome is indicated. The observer notes the scoring outcomes (points) and the sum of the five outcomes yields the BAI with a maximum of 15 points . Reliability coefficients of the Spanish version of the BAI are reported at 0.97 .
The MBS is determined by asking the patient what phrase corresponds best to their feeling or concern about their LBP following a minimum of 6 hours sleep. There are six response options scored on a 0–5 point scale where 0 = no MBS and 5 = high MBS. This is reported as “I can/cannot (need help) to stand up from my bed without/with restriction and I feel no/only irritation/pain/much pain in my back”. The observer notes the score (points) and the sum of the five outcomes yields the MBS with a maximum of five points.
Euroqol health questionnaire 5 dimensions (EQ-5D)
The EQ-5D-3 L is a widely used six-item non-disease-specific questionnaire that has been demonstrated as valid and reliable in the Spanish population . It has five 3-point response options for different quality-of-life dimensions and a sixth question on overall perceived health-related status on a 100 mm Visual Analogue Scale (VAS). The EQ-5D-3 L-VAS reflects the respondent’s self-rated health status and is ranked from ‘Best Imaginable’ (100) to Worst Imaginable’ (0).
Short form health status survey (SF-12)
The SF-12 is a PRO that estimates the general health state of a person based on two components: physical and mental (SF-12 PCS and SF-12 MCS). In English speaking countries the reliability of the SF-12 PCS was reported between 0.86 and 0.89 and for the SF-12 MCS between 0.76 and 0.77 .
Descriptive analyses were applied to calculate means and standard deviations of the demographic variables (Table 1). Distribution and normality were determined by the one-sample Kolmogorov-Smirnov tests (significance >0.05). Construct validity and factor structure were determined from maximum likelihood extraction (MLE) with the a-priori extraction requirements being satisfaction of three criteria: screeplot inflection, Eigenvalue >1.0 and variance >10%. The recommended minimum ratio of five participants-per-item was satisfied . Exploratory factor analysis indicated a single factor structure was likely, therefore more 100 participants were required . The internal consistency was determined from Cronbach's α coefficient as calculated at an anticipated value range of 0.80-0.95 . It was hypothesized that there would be no difference in the mean item scores between male and female participants. The mean scores were compared using a Student’s t-test.
Criterion validity was determined through the concurrent use of all PRO measures (NDI, RMQ, BADIX, EQ-5D, SF12 and SFI-Sp). The Pearson’s r correlation coefficient used the criteria of poor (r ≤ 0.49), fair (r = 0.50-0.74) and strong (r ≥ 0.75) .
Reliability was performed using the Intraclass Correlation Coefficient Type 2,1 (ICC2.1) test-retest methodology in a randomly selected subgroup of the full sample (n = 45, 49 ± 3 years, 56.1% female) recorded at baseline and one week (seven days). The sub-groups presenting conditions were representative of the four sub-categories of the full sample using scores on the SFI-Sp.
The sensitivity or error score was determined from the minimum detectable change (MDC 90 ) analysis that was performed as described by Stratford . The standard error of the measurement (SEM) was calculated using the formula: SEM = s√(1–r), where s = the mean and standard deviation (SD) of time 1 and time 2, r = the reliability coefficient for the test and Pearson’s correlation coefficient between test and retest values. Thereafter the MDC90 was calculated using the formula: MDC90 = SEM × √2 × 1.65.
The minimum sample sizes for the validation study were calculated from the original study for an 80% likelihood of detecting differences allowing for 15% attrition with p < .05 . Power calculations indicated the need for a minimum sample of n ≥ 110 (reliability, n ≥ 45; and concurrent criterion validity, n ≥ 106) .
All statistical analyses were conducted using the Statistical Package for Social Science version 17.0 (SPSS 17.0) for Windows and LISREL 8.80 .
The Tribunal of Review of Human Subjects at the University of Malaga approved ethical clearance.
Characteristics descriptive of the participants
Factor loading items for the one-factor solution, average score and discrimination indices of items
Item average score
Item discr indices
Stay at home most of time
Change positions frequently
Avoid heavy jobs
Rest more often
Get others to do things
Pain almost all the time
Lifting and carrying
Home/family duties and chores
Sleep less well
Assistance with personal care, hygiene
Regular daily activity work/social
More irritable/bad tempered
Feel weaker or stiffer
I require assistance or am slower with dressing
I have difficulty moving in bed
I have difficulty concentrating and / or reading
My sitting is affected
I have difficulty getting in and out of chairs
I only stand for short periods of time
I have difficulty squatting and / or kneeling down
I have trouble reaching down (e.g. pick-up things, put on socks)
I go up stairs slower or use a rail
Criterion specific validity with RMQ was high (r = 0.79), with BADIX and NDI was moderate (r = 0.59 and r = 0.46, respectively). Criterion standard validity with the EQ-5D was poor and inversely correlated (r = −0.42) and with Physical and Mental Component of SF-12 it was fair and inversely correlated (r = −0.56 and r = −0.48), respectively.
The SFI was translated to provide a cross-cultural adaptation to the Spanish language. The translation process ensured the conceptual equivalence of the used terms. This provided accessibility to the SFI for the world’s second largest geographically spoken language. The psychometric properties, specifically construct and criterion validity, reliability and internal consistency were determined independently and found to be strong and the single factor structure indicated a single summated score could be used .
The cross-cultural adaptation of the SFI into Spanish enables clinicians in Spanish speaking settings to compare outcomes following their treatments and interventions that affect the spine. The procedure of cross-cultural adaptation adopted for this study reflects that used in previous studies for different scales and applied in the Spanish context [19, 20]. It is critical to employ research measures that are both culturally and linguistically appropriate if they are to be both valid and reliable .
The one-factor solution determined by the factor analysis accounted for a significant proportion of variance [31, 32] and showed evidence that supports the presence of construct validity. A one-factor solution is critical if a PRO is to be used with a single summated score and subsequently reflect the construct for which it is primary used – that of representation of the functional status of the whole-spine .
The three other psychometric properties were also shown to be high and well supported. The internal consistency (α = 0.845) was lower but close to that of the original English version (0.91) , which sits below the accepted 0.95 thresholds for item redundancy . The test-retest reliability or reproducibility (r = 0.96) was also equivalent to the original instrument (0.97) . The criterion validity with the RMQ was demonstrated as strong and with BADIX and NDI was fair, suggesting transferability and substitution is a potential option. The EQ-5D-3 L being poor and inversely correlated and the Physical and Mental Components of SF-12 being fair and inversely correlated indicate that the SFI-Sp has limited value in indicating general health status.
The negative correlations support that deteriorating health was correlated with worsening function (higher scores on the SFI-Sp).
Study strengths and limitations
The strengths of the study include the prospective nature and the adequate sample size that provided a suitable power for analysis for the sample as a whole-spine, single kinetic chain population . The inclusion of consecutive patients, independence of the assessors and referral source, along with the broad diagnosis and category representations suggests limited selection bias and potential population generalizability . The similarity in the psychometric properties between the English and Spanish SFI versions indicated a broad cross-cultural adaption may be appropriate. The SFI-Sp also has the potential to provide comparable whole-spine health status in Spanish-speaking patients with their English-speaking counterparts in countries with a high Spanish-speaking population such as the United States. However a direct population comparative study will be required and to determine if equivalent scores for patients with the same degree of injury severity have equivalent SFI scores.
The study limitations include the lack of longitudinal data regarding other psychometric properties, particularly responsiveness or sensitivity to change and error scores as a representation of a minimal clinically important difference. The determination of validity by diagnostic subgroup and sample was not possible as such sub allocation rendered the sample size insufficient for power analysis. An analysis by sub-region of back or neck was not performed as this would not reflect the whole-spine single kinetic chain. A potential limitation is that the participant patients were not involved in the translation process and developed of the tool. The determination of construct validity through the use of factor analysis represents only one possible statistical method of testing. A construct is not restricted to one set of observable indicators or attributes. There is a need for additional indicators in future research. Similarly, the practical characteristics were not determined. Finally, the inclusion of Hispanic/Latino/ South American participants in future studies could potentially provide confirming or conflicting linguistic information due to the cultural and ethnic difference with respect to the Spanish participants and their cultural diversity in terms of European versus the Americas, North, Central and South.
The SFI is translated and cross-culturally adapted to Spanish for the first time. The psychometric properties of this SFI Spanish-version are also reported with the determined values found to be satisfactory and supportive of the findings of the SFI scale in the English format, particularly in the areas of internal consistency, factor structure and reliability. Consequently the SFI-Sp may be useful in Spanish-speaking populations and for use in cross-ethnic and cross-cultural comparisons in other English speaking countries with a high Spanish-speaking population. There will be a need for further research to determine if this PRO is influenced by the type of spine pathology or specific subgroups of patients.
The authors are grateful to the volunteers for their participation and the PMDT, Malaga. This study received a grant from the Research Office of the University of Malaga.
- Garratt A: Patient reported outcome measures in trials. BMJ 2009, 338: 2597.View ArticleGoogle Scholar
- Cella D, Yount S, Rothrock N, Gershon R, Cook K, Reeve B, Ader D, Fries JF, Bruce B, Rose M: PROMIS Cooperative Group. The Patient-Reported Outcomes Measurement Information System (PROMIS): Progress of an NIH Roadmap Cooperative Group During its First Two Years. Med Care 2007, 45(5):S3-S11.PubMed CentralView ArticlePubMedGoogle Scholar
- Fayers PM, Machin D: Quality of life The assessment, analysis and interpretation of patient-reported outcomes. Second edition. West Sussex: John Wiley & Sons Ltd; 2007.Google Scholar
- Morris LA, Miller DW: The regulation of Patient-Reported Outcome claims: need for a flexible standard. Value Health 2002, 5: 372–381.View ArticlePubMedGoogle Scholar
- Gabel CP, Michener LA, Melloh M, Burkett B: Modification of the Upper Limb Functional Index to a Three-point Response Improves Clinimetric Properties. J Hand Ther 2010, 23: 41–52.View ArticlePubMedGoogle Scholar
- Gabel CP, Melloh M, Burkett B, Michener LA: Lower Limb Functional Index: development and clinimetric properties. Phys Ther 2012, 92: 98–110.View ArticlePubMedGoogle Scholar
- Gabel CP, Melloh M, Burkett B, Michener LA: The Spine Functional Index: development and clinimetric validation of a new whole-spine functional outcome measure. Spine J 2013. doi: 10.1016/j.spinee.2013.09.055Google Scholar
- Oberg U, Oberg B, Oberg T: Validity and reliability of a new assessment of lower extremity dysfunction. Phys Ther 1994, 74: 861–871.PubMedGoogle Scholar
- Doward LC, McKenna SP: Defining Patient-Reported Outcomes. Value Health 2004, 7: 4–8.View ArticleGoogle Scholar
- Feise RJ, Menke JM: Functional Rating Index. A new valid and reliable instrument to measure the magnitude of clinical change in spinal conditions. Spine 2001, 26: 78–86.View ArticlePubMedGoogle Scholar
- Cuesta-Vargas AI, Gabel CP: Cross-cultural adaptation, reliability and validity of the Spanish version of the upper limb functional index. Health and Quality of Life Outcomes 2013, 11: 126.PubMed CentralView ArticlePubMedGoogle Scholar
- Hamasaki T, Demers L, Filiatrault J, Aubin G: A cross-cultural adaptation of the Upper Limb Functional Index in French Canadian. J Hand Ther 2013. doi: 10.1016/j.jht.2013.12.005. [Epub ahead of print]Google Scholar
- Sartorio F, Moroso M, Vercelli S, Bravini E, Medina EM, Spalek R, G F: Adattamento cross-culturale e validazione dell’Upper Limb Functional Index (ULFI-I) [Adaptation and Cross cultural validation of the ULFI-Italian Version]. Giornale italiano di medicina del lavoro ed ergonomia 2013. in pressGoogle Scholar
- ONU. Spanish-speaking countries promote use of Spanish at he UN http://www.un.org/spanish/News/story.asp?newsID=6370&criteria1=cultura#.UyBkCV5Q1UM
- Vernon H, Mior S: The Neck Disability Index: A Study of reliability and validity. J Manipulative Physiol Ther 1991, 14: 409–15.PubMedGoogle Scholar
- Kovacs FM, Llobera J, del Real MT G, Abraira V, Gestoso M, Fernández C: Validation of the spanish version of the roland morris questionnaire. Spine 2002, 27: 538–542.View ArticlePubMedGoogle Scholar
- Farasyn A, Meussen R, Jo N: Cuesta-Vargas A: Exploration of the Validity and Reliability of the “Backache Disability Index” (BADIX) in Patients with Non-specific Low Back Pain. J Back Musculoskel Rehabil 2013, 26(4):451–9.Google Scholar
- Badía X, Roset M, Montserrat S, Herdman M, Segura A: The Spanish version of EuroQoL: A description and its applications. European Quality of Life scale. Med Clin (Barc) 1999, 112: 79–85.Google Scholar
- Luo X, Lynn George M, Kakouras I, Edwards C, Pietrobon R, Richardson W: Reliability, validity and responsiveness of the short form 12–item survey (SF–12) in patients with back pain. Spine 2003, 1: 1739–1745.Google Scholar
- Cuesta-Vargas A, Gonzalez-Sanchez M, Farasyn A: Development of a Spanish version of the “Backache Index” Cross cultural linguistic adaptation and reliability. J Back Musculoskelet Rehabil 2010, 23: 105–110.PubMedGoogle Scholar
- Muñiz J, Elosua P, Hambleton RK: International Test Commission Guidelines for test translation and adaptation: Second edition. Psicothema 2013, 25: 151–157.PubMedGoogle Scholar
- Koes B, et al.: An updated overview of clinical guidelines for the management of non-specific low back pain. Eur Spine J 2010, 19: 2075–2094.PubMed CentralView ArticlePubMedGoogle Scholar
- Vernon H: The Neck Disability Index: state-of-the-art, 1991–2008. J Manipulative Physiol Ther 2008, 31: 491–502.View ArticlePubMedGoogle Scholar
- Young SB, Aprill C, Braswell J, Ogard WK, Richards JS, McCarthy JP: Psychological Factors and Domains of Neck Pain Disability. Pain Med 2009, 10: 310–8.View ArticlePubMedGoogle Scholar
- Kass RA, Tinsley HEA: Factor analysis. J Leisure Res 1979, 11: 120–138.Google Scholar
- Gilson BS, Gilson JS, Bergner M, Bobbit RA, Kressel S, Pollard WE, Vesselago M: The sickness impact profile. Development of an outcome measure of health care. Am J Public Health 1975, 65(12):1304–10.PubMed CentralView ArticlePubMedGoogle Scholar
- Cronbach LJ: Coefficient alpha and the internal structure of tests. Psychometrika 1951, 16: 297–334.View ArticleGoogle Scholar
- Field A: Discovering statistics using SPSS (2nd edition). London: Sage Publications; 2005.Google Scholar
- Stratford PW: Getting more from the Literature: estimating the standard error of measurement from reliability studies. Physiother Can 2004, 56: 27–30.View ArticleGoogle Scholar
- Joreskog KG, Sorbom D: Lisrel (Version 8.8). Lincolnwood, IL: Scientific Software, Inc; 2006.Google Scholar
- Costello AB, Osborne J: Best practices in exploratory factor analysis: four recommendations for getting the most from your analysis. Practical Assessment, Research & Evaluation 2005, 10(7):1–9.Google Scholar
- Fabrigar IR, MacCallum RC, Wegener DT, Strabahn EJ: Evaluating the use of exploratory factor analysis in psychological research. Psychol Methods 1999, 4(2):272–299.View ArticleGoogle Scholar
- Terwee CB, Bot SD, de Boer MR, van der Windt DA, Knol DL, Dekker J, Bouter LM, de Vet HC: Quality criteria were proposed for measurement properties of health status questionnaires. J Clin Epidemiol 2007, 60: 34–42.View ArticlePubMedGoogle Scholar
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