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. Author manuscript; available in PMC: 2015 May 1.
Published in final edited form as: Thorax. 2013 Dec 19;69(5):437–442. doi: 10.1136/thoraxjnl-2013-204557

Development and Validation of a Lung Transplant-Specific Disability Questionnaire

Jonathan Paul Singer 1, Paul David Blanc 1,2,3, Y Monica Dean 1, Steven Hays 1, Lorriana Leard 1, Jasleen Kukreja 4, Jeffrey Golden 1, Patricia P Katz 5
PMCID: PMC4113506  NIHMSID: NIHMS605007  PMID: 24355825

Abstract

Background

Lung transplant (LT) aims to extend survival and improve patient-centered outcomes (PCOs) by reducing disability and improving health-related quality of life (HRQL). Few PCO instruments have been validated in LT populations. We aimed to develop and validate a shortened version of the Valued Life Activities (VLA) disability scale specific to LT.

Methods

We used data from 140 subjects participating in an ongoing cohort study of LT. Subjects completed a survey battery, including VLA items, and physical assessments before LT. To develop a shortened lung transplant specific VLA (LT-VLA), we iteratively deleted items from a longer 32-item VLA battery, retaining the instrument’s conceptual framework, scoring and performance characteristics. We evaluated LT-VLA validity by testing correlations with a HRQL measure (Short Form-12 Physical Function [SF-12 PF] subscale), FVC% predicted, and 6-minute walk distance (6MWD). Responsiveness was evaluated in 84 subjects who completed assessments before and after LT.

Results

The 15-item LT-VLA scoring closely matched the longer VLA (correlations ≥0.96) and had excellent internal consistency (Cronbach’s alpha: 0.92). The LT-VLA required only 3 minutes or less to administer. The LT-VLA, measured as mean difficulty in performing each of the 15 activities queried, correlated with FVC% predicted (r= −0.30), 6MWD (r= −0.38) and SF-12 PF (r= −0.47) (all p<0.01). The LT-VLA mean difficulty was responsive to change from before to after LT: (63% improvement; effect size=1.60)

Conclusions

The LT-VLA is a short, easy to administer, valid, and responsive disease-specific PCO instrument that may be useful in clinical and research applications for lung transplantation.

Keywords: lung transplantation, disability, patient centered outcomes, health-related quality of life

INTRODUCTION

Improving patient centered outcomes (PCOs), embodied by reduced disability and improved health-related quality of life (HRQL), is a prime clinical goal of lung transplantation (LT).[1] Consistent with this priority, calls to incorporate PCOs into transplant decision-making are increasing.[24] To date, however, the tools to measure PCOs in LT have not been refined commensurate with the growing importance placed on such endpoints. Specifically, the performance characteristics and validity of most PCO instruments have not been established in LT populations, even though this is a prerequisite for reliable use.[5] The profound disabilities experienced by LT candidates transcend the narrow constructs of difficulties in “activities of daily living” (ADLs) or impediments to paid employment. In actuality, persons undergoing LT face disabilities that encompass activities spanning the full spectrum of function that many believe give life meaning. Examples include spending time with friends and family, other forms of social engagement, and travelling. Persons suffering from advanced lung disease identify a return to “normal life” as a primary motivation for undertaking transplant.

Thus, the available disability data, restricted to ADLs and employment,[6, 7] have limited relevance to the full spectrum of disability across daily life. Clinically, measuring disability in this way falls short of providing an adequate answer to the oft-asked question: “What will I be able to do after transplant”? In the research context, ADL-defined disability demonstrates a floor effect, in which all patients score rather well and do not appear to change over time. This floor effect may limit instrument sensitivity to measuring the effect of interventions, even LT.

Quantifying disability in terms of Valued Life Activities (VLA) is an approach to PCO measurement that assesses a wide spectrum of daily life activities. The VLA scale, originally developed in rheumatoid arthritis,[8] was later adapted to disease-specific measures in asthma and COPD.[9] At 32-items, however, the complete VLA scale takes 10–12 minutes to administer. This time may present a substantial burden to respondents and a barrier to inclusion in multi-instrument survey batteries. We aimed to shorten the VLA scale and validate it for use specifically in LT. Our goal was to develop an instrument whose performance characteristics would make it useful for research and also amenable to potential clinical applications.

METHODS

Data Source

We performed this study among participants in the University of California, San Francisco (UCSF) “Breathe Again” study, an ongoing prospective cohort study of adults undergoing lung transplantation (LT). Initiated in 2010, Breathe Again aims to study the impact of LT on HRQL and disability and to identify pulmonary and extra-pulmonary determinants of HRQL and disability after LT. Briefly, subjects with end-stage lung disease are enrolled around the time of LT candidacy listing. At enrollment, baseline assessments include structured interviews to ascertain sociodemographics, VLA disability, and HRQL using standard instruments. They also complete a research clinic visit for physical assessments, including the six-minute walk distance (6MWD). While listed for LT, assessments are repeated every three months; data most proximal to the date of transplant are deemed the pre-transplant “baseline” for the analyses we report here. The same survey and physical assessments are administered at regular intervals after transplant. If subjects miss research visits due to illness or other reasons, we conduct home visits or in-hospital evaluations to minimize selection bias. The UCSF Committee on Human Research approved this study.

Valued Life Activities Disability Scale

The original VLA scale is a 32-item instrument that measures patient-reported ability to complete a broad spectrum of complex functioning in daily life. It operationalizes a well-established conceptual model of disability that proposes a non-overlapping hierarchy of disability across three activity domains: obligatory, required for survival and self-sufficiency (e.g., [instrumental] ADLs); committed, associated with one’s principal productive social roles (e.g., working for pay or caring for family); and discretionary, such as socializing and engaging in leisure activities that provide relaxation and pleasure.[10] Disease-specific variations of the battery have been validated in rheumatologic and pulmonary conditions and are strongly associated with HRQL.[8, 9, 1113]

The VLA scale presents a list of activities and asks respondents to rate their difficulty in performing each one on a 4-point scale (0=no difficulty, 1=some difficulty, 2=a great deal of difficulty, 3=unable to perform). Additionally, respondents can indicate that any specific item is not relevant to them personally for reasons other than their health by selecting the response option “does not apply”.. By excluding items not deemed relevant by the respondent, VLA provides an individualized, clinically relevant measure of disability including only those activities that matter to the person completing the question battery.

Three summary scores can be calculated: mean difficulty (i.e., sum of rated item scores/total items rated), proportion of activities affected (i.e., number of items rated with a score ≥1/total items rated), and proportion of activities that individuals are unable to perform (i.e., number of items rated with a score=3/total items rated). Further, the same scoring algorithm can be applied to yield domain subscores for obligatory, committed, and discretionary VLAs. For all scores, items rated as “not relevant” are excluded from the denominator. The full VLA battery from which we derived the LT-specific measure and cohort responses to all its items is shown in Supplementary Table 1.

Other Measures Used to Validate the Lung Transplant-Specific VLA (LT-VLA) Scale

To assess the performance of the VLA scale and to identify which items best captured the PCOs of relevance to our LT population, we started with the conceptual model of disablement, which has been previously validated in COPD.[10, 14] In addition to a hierarchy of activities, the model proposes that the pathway to disability begins with organ dysfunction due to disease, termed impairment. Impairment, in turn, leads to reductions in actions, termed functional limitations. Functional limitations are actions measurable in an easily quantifiable manner (e.g., walking during a 6MWD). Functional limitations may then lead to disability, defined as difficulty performing activities in daily life (e.g., walking to the grocery store). Although this model does not extend to HRQL, disability is clearly linked to poorer HRQL, as we have shown with the VLA approach.[13, 15, 16]

Thus, we tested construct validity of the LT-VLA by assessing its relationship to measures of impairment, functioning, and HRQL. We selected forced vital capacity (FVC), % predicted as a measure of pulmonary impairment. We abstracted FVC% predicted from medical records. We selected 6MWD, performed in either the UCSF Clinical Pulmonary Function Testing Laboratory or the Clinical and Translational Sciences Institute Exercise Laboratory, as our measure of functioning. Because the VLA measures disability across a range of physical activities, we selected the Medical Outcomes Survey Short Form-12 (SF-12) Physical Function (PF) subscale score as our measure of HRQL. The SF-12 is a validated, reliable, and responsive generic health status instrument adapted from the Short Form 36-Item Health Survey (SF-36).[17, 18]

LT-VLA Item reduction and validation

An initial LT-VLA version was modeled on a shortened VLA measure (S-VLA) developed for rheumatoid arthritis (RA).[19] For the S-VLA, item response theory analyses were used to eliminate items while preserving the range of activity “difficulty” to ensure that a range of activities, from low-physical demand activities such as self-care to higher-demand activities such as physical recreation, was included. The S-VLA correlated strongly (0.97) with the original version; internal consistency and validity estimates for the S-VLA were excellent and closely corresponded to the original. Thus, to create the LT-VLA we used the S-VLA as a starting point. As expected, there were substantial differences in item response characteristics obtained in the RA and LT populations so we next followed an iterative process for shortening measurement scales recommended by Goetz and colleagues.[20] During this process, we chose items to ensure we met four goals: 1. Adequately represent all three conceptual subdomains (obligatory, committed, and discretionary), 2. Preserve the spectrum of activity difficulty and hierarchy of activities, 3. Achieve scoring and scale performance characteristics in the LT-VLA that correspond closely to the original VLA measure, and 4. Validate important psychometric properties of the LT-VLA in a LT population.

Internal consistency was evaluated using Cronbach’s alpha. Content validity of the LT-VLA scale was maintained by including a spectrum of items from the obligatory, committed, and discretionary subdomains. We examined response patterns to confirm consistent response spread and mean difficulty levels in summary and subscale scores. We tested construct validity by calculating correlations (Spearman) among LT-VLA scores and FVC% predicted, 6MWD, and the SF-12 PF subscale. Consistent with other observations of poor correlations between lung function and other measures of disability and HRQL,[21] we hypothesized a priori that LT-VLA would have the lowest correlation with FVC% predicted and the highest correlation with the SF-12 PF subscale, which is the most closely related conceptually.

Responsiveness, or sensitivity to change, is important for a PCO measure if it is to be useful in longitudinal studies.[22] To examine responsiveness, we evaluated LT-VLA scores in the subset of subjects who had completed baseline assessments and survived to complete reassessments 3-months after transplant at the time of analysis (n=84). We calculated both the percent change and the effect size of that change.[23] We also calculated Spearman correlations between changes in the LT-VLA scores and changes in FVC% predicted, 6MWD, and SF-12 PF.

RESULTS

Characteristics of the Sample

During the study period, we performed baseline assessments on 140 cohort members (Table 1). Participants were 50% female and 76% White, with a mean age of 55 (±13 years). Approximately three-quarters had achieved at least some college education. Reflecting that UCSF is a referral center for interstitial lung disease, 63% had pulmonary fibrosis.

Table 1.

Cohort characteristics

Total sample (n = 140)
Age, years 58.8 (48.4–64.1)
Female 50 (70)
Race/ethnicity
 White, non Hispanic 76 (106)
 Black/African American 5 (7)
 Asian 6 (9)
 Hispanic 11 (15)
 American Indian/Alaska Native 1 (2)
 Other 1(1)
Education
 Less than high school 6 (8)
 High school graduate 14 (19)
 Some college, no degree 27 (38)
 Associate degree, trade or vocational school 21 (29)
 College degree 17 (23)
 Professional degree 14 (19)
 No answer 2 (3)
LAS Listing Category for Lung Transplantation
 Group A (COPD) 23 (32)
 Group B (Pulmonary Arterial Hypertension) 4 (5)
 Group C (Cystic Fibrosis) 10 (14)
 Group D (Pulmonary Fibrosis) 63 (88)
Forced Vital Capacity, % Predicted 50 (38–62)
Six Minute Walk Distance, meters 290 (171–396)

Data presented as median (IQR) or % (n)

LAS = Lung Allocation Score

Original VLA Item and Scale Evaluation

Consistent with the domain, all obligatory items were rated (i.e., considered important) by all subjects. Overall, 19 of the original 32 items were rated by ≥90% of subjects (Supplementary Table 1); only 1 item was rated by <50% (item #11, “School/Education”). With the exception of item #6 (“Sleeping”), all response options were used for all items. Before transplant, mean item difficulty ratings ranged from a low of 0.28 (Item #32, “Participating in leisure activities in your home”) to a high of 2.66 (item #17, “Participating in vigorous physical recreational activities”).

Characteristics of both the original VLA and LT-VLA are shown in Table 2. Of the 32 original items, 7 items measured the obligatory domain; 9, the committed; and 16, the discretionary. Relative to other populations, our cohort reported severe disability.[9, 11, 24] Mean difficulty was 1.42 (±SD 0.58), mean proportion of activities affected was 75% (±20), and mean proportion of activities respondents were unable to perform was 23% (±21). There was no floor effect (i.e., no score of 0) for mean difficulty or proportion of activities affected. There were, however, 13 individuals (9%) who scored at the floor for proportion of activities completely unable to perform. We found no ceiling effects for mean difficulty or proportion of activities unable to perform; there were, however, 16 individuals (11%) who achieved a ceiling score for proportion of activities affected (i.e., scored 100%, meaning that all were affected to some degree).

Table 2.

Lung Transplant Valued Life Activities (LT-VLA) Scale Items

Domain Item
Obligatory Walking outside, just to get around places you need to go on a regular basis (Not including walking for exercise)
Taking care of basic needs, such as bathing, dressing, or personal hygiene
Walking or getting around inside the home
Getting around the community by car or public transportation
Committed Working at a job for pay
Doing heavier housework, such as vacuuming, changing sheets, or cleaning floors
Doing light housework, such as dusting or laundry
Preparing meals and cooking
Discretionary Participating in physical recreational activities such as walking for exercise, jogging, swimming, dancing, playing golf, or bowling
Traveling out of town
Going to social events, parties or celebrations
Participating in leisure activities outside the home, such as going to movies, restaurants, playing cards or bingo, or club meetings
Visiting friends or family members in their homes
Having friends or family members in your home
Participating in leisure activities in your home, such as reading, watching television, or listening to music.

Item reduction to create LT-VLA

Through an iterative process, 17 items were eliminated. Details of this iterative process and performance characteristics are provided in the supplemental materials (Supplemental Figure 1 and Supplemental Tables 2 and 3). The 15 retained items (Table 2 and Supplemental Table 4) demonstrated balance across subdomains, even distribution of subject-rated item difficulty, and close correspondence with the original (Table 3). Item #8, “Working at a job for pay,” was approached as a special case. While only 63% of respondents reported this item as important, ability to return to employment is an important clinical outcome for those of working age. Further, age appeared to affect response patterns to this item; only 34% of respondents who were age ≥65 rated this item as important. Thus, based on its unique clinical relevance, we elected to retain this item in the LT-VLA. Cronbach’s alpha for the LT-VLA was excellent (0.92) and its mean scores and score ranges very closely approximated those of the complete battery. Ceiling effects were slightly more frequent for the LT-VLA version. Correlations between the three original and LT-VLA scoring approaches were excellent, ranging from 0.96–0.98.

Table 3.

LT-VLA and original VLA battery characteristics (Baseline, n=140)

LT-VLA VLA
Number of items, Total 15 32
Number of items by domain
 Obligatory 4 7
 Committed 4 9
 Discretionary 7 16
Cronbach’s alpha (total) 0.92 0.95
Mean (± SD) difficulty 1.44 ± 0.61 1.42 ± 0.58
 Range, mean difficulty 0.21–3.00 0.14–2.91
 Number (%) of scores at floor 0 0
 Number (%) of scores at ceiling 1 (0.7) 0
 Correlation with long form 0.98 ---
Median (IQR) % activities affected 80.0 (71.4, 92.9) 74.8 (67.3, 88.4)
 Range, % activities affected 7.1–100 4.5–100
 Number (%) of scores at floor 0 0
 Number (%) of scores at ceiling 25 (17.9%) 16 (11.4%)
 Correlation with long form 0.97 ---
Median (IQR) % activities unable 16.7 (7.0, 32.1) 14.3 (7.1, 28.6)
 Range, % activities unable 0–93.3 0–93.8
 Number (%) of scores at floor 19 (13.6%) 13 (9.3%)
 Number (%) of scores at ceiling 0 0
 Correlation with Long form 0.96 --

LT-VLA = Lung Transplant Valued Life Activities disability scale;

VLA = Valued Life Activities disability scale; SD = Standard deviation

LT-VLA Cross-Sectional Validity

The strength and direction of correlations between the LT-VLA and other measures were as hypothesized (Table 4). Greater LT-VLA disability was significantly, but weakly, correlated with FVC% predicted (range:−0.30 to −0.23, all p<0.01). Slightly stronger correlations were identified between LT-VLA scores and 6MWD (range:−0.38 to −0.29, all p<0.01). Finally, moderate correlations were found between LT-VLA scores and the SF-12 PF subscale (range:−0.51 to −0.35, all p<0.001) Importantly, even the strongest correlations were only moderate, indicating that the LT-VLA is measuring similar but distinct theoretical constructs consistent with our conceptual model of disablement. All correlations were similar to the original VLA (Supplemental Table 5).

Table 4.

Spearmen correlations between three LT-VLA metrics and other measures (all baseline, n = 140)

FVC% predicted 6MWD SF-12 Physical Function
LT-VLA Mean difficulty −0.30** −0.38*** −0.47***
LT-VLA % activities affected −0.24** −0.29** −0.51***
LT-VLA % activities unable to perform −0.23** −0.32** −0.35***
*

p<.05,

**

p<.01,

***

p<.0001

FVC% predicted = Forced Vital Capacity, % Predicted; 6MWD = Six-minute walk distance; SF-12 = Medical Outcomes Survey Short Form-12 Physical Function subscale

LT-VLA Responsiveness

Depending on the scoring metric, LT-VLA scores improved between 56% and 71% from baseline to 3-months post-LT (Table 5). Effect sizes of change were large (in a range considered to be clinically meaningful)[25]: 1.62 for mean difficulty, 2.53 for proportion affected, and 0.85 for proportion unable. Figure 1 illustrates normalized changes in the LT-VLA scores relative to changes in the FVC% predicted and the SF-12 PF subscale. The original and LT-VLA scales yielded equivalent measures of improvement (Supplemental Table 6).

Table 5.

LT- VLA Responsiveness and Change in Other Measures from before transplant to 3- months after transplant

Pre-transplant
Mean ± SD
Post-transplant
Mean ± SD
Absolute change
Mean ± SD
t-statistic* % change Effect size**
LT-VLA Mean difficulty 1.56 (± 0.62) 0.57 (± 0.49) −0.99 ± 0.75 11.84 63% 1.60
LT-VLA % activities affected 81.5 (± 16.6) 35.7 (± 27.7) −46.0 ± 32.1 12.83 56% 2.76
LT-VLA % activities unable to perform 27.9 (± 25.6) 8.0 (± 10.8) −19.9 ± 28.7 6.21 71% 0.78
FVC% predicted 48.2 (± 17.0) 71.6 (± 17.1) 23.2 ± 19.8 10.49 49% 1.38
6MWD, meters 270 (± 152) 406 (± 146) 142 ± 151 6.84 50% 0.89
SF-12 Physical Function 24.2 (± 5.6) 41.0 (±12.8) 17.1 ± 13.1 11.62 69% 3.00

Includes only patients who have completed 3-month follow-up, n = 84

*

Absolute value of the t-statistic from paired t-tests comparing pre- and post-transplant scores for each measure

**

Effect size = (post-transplant mean – pre-transplant mean) / baseline SD(23)

FVC% predicted = Forced Vital Capacity % Predicted; 6MWD = 6-minute walk test distance; SF-12 Physical Function = Medical Outcomes Survey Short Form-12 Physical Function subscale

Figure 1.

Figure 1

Responsiveness of LT-VLA and SF-12 before and after lung transplant*

*To facilitate comparison with the SF-12, all LT-VLA scores transformed to 0 – 100 scale (transformation not necessary for standard scoring of LT-VLA). For all LT-VLA scoring approaches, lower scores reflect reduced disability, for SF-12 PF scoring, higher scores reflect better health related quality of life

Changes in mean LT-VLA difficulty and proportion of activities affected correlated in the expected directions with changes in the 6MWD and SF-12 PF (Table 6). Changes in LT-VLA scores were not significantly correlated with changes in FVC% predicted. Changes in the proportion of LT-VLAs unable to perform were not statistically correlated with changes in the other measures.

Table 6.

Spearman correlation among changes in LT-VLA and changes in other measures from before transplant to 3- months after transplant

FVC % predicted 6MWD SF-12 Physical Functioning
Mean difficulty −0.10 −0.30* −0.33**
% activities affected −0.22 −0.44** −0.54***
% activities unable 0.07 −0.07 −0.03
SF-12 Physical Functioning −0.01 0.39** --

Includes only patients who completed 3-month follow-up, n = 84

*

p<.05,

**

p<.01,

***

p<.0001

FVC% predicted = Forced Vital Capacity % Predicted; 6MWD = 6-minute walk test distance; SF-12 Physical Function = Medical Outcomes Survey Short Form-12 Physical Function subscale

DISCUSSION

Our results indicate that the 15-item LT-VLA disability measure we developed is valid, performs well, is easy to administer, captures what it intends to, and is responsive to change. The LT-VLA addresses a pressing clinical, research, and regulatory need for validated disease-specific instruments for PCOs in LT.[15, 26, 27] Moreover, the rigorous developmental process we used was informed by a validated conceptual model of disablement and by accepted standards for shortening established measurement scales. The LT-VLA has performance characteristics similar to the original battery but only requires less than 3 minutes to administer as opposed to 10–12 for the full VLA or, for comparison, 8–10 for the SF-36.

Beyond its psychometric properties, the LT-VLA provides data of direct clinical relevance. While improved lung function is important, patients considering LT regard as more fundamental how any improvement may impact their ability to return to living a “normal life.” Aside from relatively crude registry-based reports of activity of daily living (ADL) disability,[6] up until now we have lacked the tools with which to counsel patients from data-based evidence. Our new instrument could help change that. Key to that, the LT-VLA extends the conceptualization of disability to beyond simply those ADLs necessary for survival and self-care. It measures a hierarchy of activities across the obligatory, committed, and discretionary domains originally defined by Verbrugge.[10] It is this last domain, subsuming activities such as visiting others and traveling, that is typically absent from other measures. Consistent with their vital nature to happiness, disability in discretionary activities is more strongly linked with depression and life satisfaction than disability in obligatory and committed domains in other conditions.[8, 28] Notably, ≥84% of respondents in our cohort rated each discretionary activity in the LT-VLA as personally important.

In addition to more comprehensively measuring what is important to patients, by measuring disability across domains, the LT-VLA may identify disability at an early stage more amenable to intervention. In the early stages of chronic disease patients make accommodations such as limiting participation in activities not necessary for survival or by taking more time to perform them.[2932] Our previous findings in other conditions show that disability in the proportion of discretionary activities affected will also be the earliest manifestation of the disablement process in LT.[24, 33] The LT-VLA may also provide a novel and responsive PCO measure for research on physical functioning. Regulatory agencies[34] and the newly established Patient Centered Outcomes Research Institute[27] emphasize the inclusion of PCOs in interventional trials. As multicenter trials in LT grow, it is likely that PCO measures will be required. Selecting a PCO instrument that effectively measures health domains expected to be impacted by an intervention is a critically important decision. For example, the SF-36 is a frequently used multidimensional PCO measure of 8 conceptual health domains.[35] Only 2 of the 8 domains, however, address physical functioning. As a result, it may not be responsive or discriminative to interventions focused primarily on this health domain. Other PCO measures of functioning, like ADLs, may also not be sensitive measures of change in disability.[6] Indeed, bronchiolitis obliterans syndrome (BOS) develops in 10% of patients by one-year after transplant and 50% by 5-years.[6] While BOS is known to negatively impact both functioning and HRQL,[5] there is no observable difference in ADL-disability in patients surviving one and five-years after LT.[6] These data suggest ADL-based disability analyses may substantially underestimate difficulties LT patients experience in daily life and fail to identify opportunities for future interventional studies.

Our study faces the limitation of modest cohort size drawn from a single center. Nonetheless, this actually is one of the largest cohorts used to validate a PCO instrument in a LT population. Of note, too, our cohort had a greater proportion of subjects with pulmonary fibrosis than national averages.[6] It is possible, therefore, that the final items in the LT-VLA might have been different had this study had been performed at other transplant centers or with a different distribution of lung diseases, for example more persons with cystic fibrosis. In part for that reason, we elected to retain the work-related item. As is true for all shortened survey instruments, reduced respondent burden may come at the expense of reduced item diversity or scale performance. This could theoretically limit the ability of the LT-VLA to discriminate among subjects at the most severe end of the disability spectrum. The improvements observed at 3 months, however, argue against a ceiling limiting the LT-VLA’s ability to respond to change.

In summary, the LT-VLA is a short, valid, and responsive PCO instrument for measuring disability in lung transplantation. Further, the LT-VLA extends the concept of disability to clinically relevant domains. Its ability to encompass a broad range of daily life activities important to LT recipients is particularly important in comprehensively measuring disability for both clinical and research applications.

Supplementary Material

Supplemental Figure R1
Supplemental Table and Figures

What is the key question?

To develop a patient-centered disability measure for use in lung transplantation

What is the bottom line?

We developed and validated a short, responsive disability measure that encompasses daily activities important to lung transplant patients.

Why read on?

while improving patient centered outcomes is a core clinical goal of lung transplantation, instruments validated in this population are scant; herein, we outline the development of a novel, lung transplant-specific measure of disability utilizing established methods for instrument development.

Acknowledgments

The authors wish to thank Joan Chen, research coordinator with the UCSF Lung Transplant Research Group, for her outstanding effort on this project. Study data were collected and managed using REDCap electronic data capture tools hosted at UCSF.1 REDCap (Research Electronic Data Capture) is a secure, web-based application designed to support data capture for research studies, providing: 1) an intuitive interface for validated data entry; 2) audit trails for tracking data manipulation and export procedures; 3) automated export procedures for seamless data downloads to common statistical packages; and 4) procedures for importing data from external sources.

Funded by: National Heart, Lung, and Blood Institute K23 HL 111115 and a Nina Ireland Program in Lung Disease award (JPS). A portion of this study was also supported by the National Center for Research Resources at the National Institutes of Health (UCSF-CTSI UL1 RR024131)

Footnotes

1

Paul A. Harris, Robert Taylor, Robert Thielke, Jonathon Payne, Nathaniel Gonzalez, Jose G. Conde, Research electronic data capture (REDCap) - A metadata-driven methodology and workflow process for providing translational research informatics support, J Biomed Inform. 2009 Apr;42(2):377–81.

Contributorship: JS and PK conceived of and designed the study and wrote the manuscript. JS, PK, and PB analyzed the data. JS, SH, LL, JG, JK contributed field expertise. JS and MD were responsible for collection and quality assurance of the data. All authors interpreted the results. All authors were involved in iterative revisions of the manuscript and approved the final draft for publication. JS is guarantor of this paper.

Competing Interests: The authors have no competing interests to report of relevance to this publication.

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