Skip to main content

Development and validation of a disease-specific quality of life questionnaire for patients with peripheral artery disease (QOLPAD)



The aim of this study was to develop and validate a short and feasible questionnaire to measure health-related quality of life (HRQoL) in patients with peripheral artery disease (PAD). The content of the new instrument is intended to correspond with the simultaneously developed instrument Patient Benefit Index for PAD (PBI-PAD), which evaluates treatment goals and benefits in this patient group.


Fifty patients stated their disease burden on free-text questionnaires, which was used by an interdisciplinary expert panel to develop 12 items for the new instrument, named Quality of Life questionnaire for patients with peripheral artery disease (QOLPAD). The validity of the instrument was tested in patients from Germany with PAD stages I to IV who completed the QOLPAD, EuroQol questionnaire (EQ-5D-3L; EuroQol visual analogue scale (EQ VAS)), and Vascular Quality of Life questionnaire (VascuQoL) before (baseline) and three months after (follow-up) treatment.


One hundred and three patients were included at baseline (mean age: 68.6 years; 68% male), among whom, 57 provided data at follow-up. Most patients (86.4%) rated the completion of QOLPAD as being easy. Internal consistency was satisfactory, with a Cronbach’s alpha of 0.74 (baseline) and 0.84 (follow-up). Convergent validity was indicated by significant correlations with the EQ-5D-3L (baseline: − 0.62; follow-up: − 0.81), EQ VAS (baseline: − 0.44, follow-up: − 0.79), VascuQoL global score (baseline: − 0.77; follow-up: − 0.87), global rating of impairment (baseline: 0.64; follow-up: 0.71), and PAD stage (baseline: 0.40; follow-up: 0.67). Sensitivity to change was confirmed by significant correlations of change in the QOLPAD with changes in convergent criteria; however, the high number of dropouts limits the generalizability of this finding.


This study provided evidence that the QOLPAD is internally consistent and valid in patients receiving treatment for PAD in Germany.


More than 200 million people worldwide have peripheral artery disease (PAD) [1], which predominantly occurs in elderly people, with a prevalence of over 10% at ages 60–70 years [2]. PAD is caused by arteriosclerosis of the lower extremities. Patients with PAD stage I (as classified according to Fontaine [3]) show no symptoms, and PAD usually manifests clinically as a shortened walking distance due to leg pain (intermittent claudication, PAD stage II) [2,3,4]. PAD stage II is subdivided into stages IIa and IIb depending on a painless walking distance of > 200 m (stage IIa) or < 200 m (stage IIb). In more advanced stages III and IV, patients report rest pain, ulcerations, or gangrene with a risk of limb loss.

Clinical parameters and health-related quality of life (HRQoL) are important outcomes for the evaluation of treatments (e.g., pharmaceuticals, surgery, or lifestyle changes) [5, 6]. Both generic instruments and disease-specific instruments can be used to determine the HRQoL; however, disease-specific instruments are generally more sensitive in detecting changes [7].

The Vascular Quality of Life questionnaire (VascuQoL) is a frequently recommended disease-specific questionnaire for HRQoL in patients with PAD [7,8,9]. The VascuQoL consists of 25 items assessing the domains of pain, symptoms, and activities, as well as social and emotional impairments. Completion of this questionnaire takes an average of 9.6 min [10]. Recently, a short version of VascuQoL with only six items (VascuQoL-6) has been developed and has shown good psychometric properties in a validation study [11].

A systematic review by Poku et al. (2016) identified six generic and seven disease-specific HRQoL instruments that have been validated in patients with PAD, but no study has provided evidence for a full psychometric evaluation (including internal consistency, test-retest reliability, content and construct validity, responsiveness, floor-ceiling effects, and acceptability) [12]. The evaluation of floor and ceiling effects and acceptability is missing in the VascuQoL (25 item version). In a systematic review, Conijn et al. rated the content validity of VascuQoL as positive but highlighted a lack of information on internal consistency and structural validity [13].

A systematic review by Aber et al. identified that a complete instrument for assessing the quality of life of patients with PAD should include the following six topics: symptoms, impact on physical functioning, impact on social functioning, psychological impact, financial impact, and process of care. However, they also found that none of the existing HRQoL questionnaires covered all six dimensions; in particular, employment-related aspects were not included in any of them [9].

The aim of this study was to develop de novo and validate a simple and short disease-specific instrument that measures the relevant aspects of HRQoL in patients with PAD (Quality of Life questionnaire for patients with peripheral artery disease, QOLPAD) for use in research and clinical practice. Through the development of the questionnaire, we also aimed to create an instrument that corresponds to the Patient Benefit Index for PAD (PBI-PAD), which evaluates the treatment goals and benefits in patients with PAD [14]. Both constructs, HRQoL and patient goals and benefits, are highly relevant for clinical decision-making. For other disease groups, we found that patients’ treatment goals can differ from the extent of impairment in their respective functions and that treatment goals are often still considered important by patients, even if these goals have already been achieved to a high extent [15]. Thus, the instruments aim to assess the same content, but focus on current impairment (QOLPAD) or treatment needs/benefits (PBI-PAD).

The combined use of QOLPAD and PBI-PAD is also recommended because of the impairment by response shift bias and recall bias [16]. While benefit assessment via changes in HRQoL can be impaired by response shift, direct benefit assessment via PBI can be impaired by recall bias. Thus, combined use can enhance confidence in the findings regarding treatment benefits.

Patients and methods

A prospective, non-interventional study was performed in patients with PAD and consisted of two phases. Participants in both phases were recruited at the Vascular Surgery Department of the University Medical Center Hamburg-Eppendorf (UKE) and the Asklepios Klinik Wandsbek in Hamburg, Germany. The QOLPAD was developed in German.

Phase 1: instrument development

In the first phase, the new instrument was inductively developed based on open-item collection using free-text responses from patients. To identify patient-relevant aspects of HRQoL impairments due to PAD, 50 adult patients who received inpatient treatment at the UKE and who were fluent in German completed an open questionnaire with questions referring to their PAD-specific health problems and treatment goals. First, patients were asked to describe their PAD-related impairments and needs in general (“Please describe in your own words whether and in which way you are burdened in your life by the circulatory disorder of the legs,” and “Please describe which goals and benefits would be of particular importance for you in the treatment of the circulatory disorder”). Subsequently, open questions were asked for additional impairments and goals related to different areas of life, such as social life. All of the data were transcribed and tabulated, resulting in the following domains: physical impairment, everyday life, working life, spare time/social activities, treatment, and psyche.

Based on these data, an expert panel consisting of one dermatologist, one specialist in vascular and endovascular surgery, one medical student, one expert in healthcare research, and one psychologist specializing in HRQoL measurement and instrument validation determined 12 items for the QOLPAD that covered the results of the open survey. The exact number of items and domains had not been previously defined; instead, both the number and content of the items were based on patient statements. To enable good recollection by the patients, all items in the QOLPAD refer to the seven days prior. A uniform response scale was used to ensure that the instrument was short and simple.

In subsequent cognitive debriefing, the resulting preliminary version of the QOLPAD was tested in seven patients who completed the questionnaire, followed by interviews on the practicability and comprehensiveness of the questionnaire with regard to patient-relevant topics. During these interviews, no missing content relevant to HRQoL was determined; however, the wording of some items or questions was changed.

Phase 2: validation study

During the second phase of the study, the QOLPAD was psychometrically tested in a longitudinal validation study conducted between February 2014 and October 2015. The QOLPAD was validated in 103 patients treated at two vascular surgery departments in Hamburg, Germany.

The inclusion criteria were as follows:

  • ≥ 18 years of age

  • medically confirmed PAD (based on blood flow tests using a Doppler probe and/or angiogram) for which treatment was scheduled

  • sufficient mental, physical, and linguistic abilities to participate in the questionnaire study

  • obtained written informed consent after the patients had been informed about the study by a physician

  • treated under the supervision of medical staff or physicians

PAD treatment supervised or conducted by medically trained personnel was chosen as an inclusion criterion to include patients for whom a change in HRQoL could be expected, allowing the determination of whether the QOLPAD was sensitive to change. Consequently, patients who merely recommended unsupervised actions, such as lifestyle changes or exercise, were excluded from the study. As we did not aim to measure the effect of a particular intervention, the treatment was not specified in the questionnaire; thus, a patient sample receives different types of treatment (e.g., supervised exercise, surgery).

Data were collected at two time points: at the first visit (baseline) before the onset of a new treatment, and three months (± 2 weeks) after or during treatment (follow-up). A recall period of three months was selected to better differentiate between disease- and treatment-related complaints. At UKE, all participants were inpatients at baseline. At Asklepios Klinik Wandsbek, outpatients were recruited at consultation hours (baseline), while the second measurement took place either at the hospital (if patients had a follow-up appointment) or by mail.

At both time points, patients self-completed the QOLPAD without help from the study personnel. In addition, patients stated in a questionnaire how easy or difficult it was for them to complete the QOLPAD. They also completed the three-level version of EQ-5D-3L on generic HRQoL, along with the EuroQol visual analogue scale (EQ VAS) on subjective health [17] and the VascuQoL [10]. The EQ-5D-3L and EQ VAS global scores have a possible range from 0 to 1, with higher values indicating better health. The VascuQoL has a range from 1 to 7, with higher values indicating better HRQoL.

Data assessment also included sociodemographic information, including age, sex, education, and current employment (baseline). Furthermore, patients completed several global rating items on a 5-point Likert scale regarding current impairment due to PAD (from “not at all” to “very much”; baseline and follow-up), evaluation of treatment effectiveness (from “not effective” to “very effective”; follow-up), recommendation of treatment to other patients (from “not at all” to “definitely”; follow-up), and symptom improvement (from “much better” to “much worse”; follow-up). The PAD stage, classified according to Fontaine [3], was determined by a physician at both time points.

If the patient had answered at least 75% of the total items, the QOLPAD global score was calculated as the overall arithmetic mean; otherwise, no global score was computed (no missing data imputation was performed). Reversely formulated items (Items 6 and 10) were recoded. Floor and ceiling effects were determined as the percentage of patients with the highest or lowest possible QOLPAD global scores at the baseline and follow-up, respectively.

Cronbach’s alpha was calculated to measure the internal consistency of the QOLPAD. Convergent validity was determined using the Spearman’s correlation coefficient of the QOLPAD with convergent criteria (generic and disease-specific HRQoL, global ratings as described above, and PAD stage). Sensitivity to change was analyzed via the correlation between the change in QOLPAD from baseline to follow-up and the change in the convergent criteria. For the global ratings that were assessed at follow-up only (recommendation to others, effectiveness, and symptom improvement), their correlation with QOLPAD change was determined. All statistical analyses were performed using IBM SPSS Statistics version 23 (Armonk, NY, USA) for Windows.

The original German questionnaire was translated into British English for the purpose of this publication (Fig. 1); this involved independent forward translations by two native speakers of the target language (professional translators), independent back-translations by two German native speakers (professional translators), consensus finding with translators, and proofreading by another British English native speaker. The English version has not yet been tested in patients; in this study, only the German version was used.

Fig. 1
figure 1

British English version of the QOLPAD


Development of the QOLPAD

In the survey, patients reported 89 different aspects of HRQoL. The answers were sorted according to topic and frequency. The expert panel combined similar related aspects into more general terms, which led to 37 non-redundant items in the first step and 12 final items in the second step. Examples of treatment-related burdens reported by patients were “having to take many pills” (mentioned three times), side effects (mentioned once), frequent visits to the doctor and physiotherapy (mentioned six times). These aspects were first summarized into the categories “medication” and “expenditure of time.” In the phase of further generalization of the categories, Item 9, “Over the past 7 days the treatment has been cumbersome for me,” was generated (Table 1). A response scale was chosen, where 0 = not at all to 4 = very much.

Table 1 Example patient statements from the development of the QOLPAD

The QOLPAD items refer to physical and mental health, participation in everyday life, work life, leisure activities, and family life. In the cognitive debriefing, only minor changes in wording were suggested by the participants.

Validation of the QOLPAD

Of the 120 patients included at baseline, 17 were not included in the analysis dataset. These patients had been advised to change their lifestyle but did not receive any medical treatment after completing the baseline assessment; therefore, they did not fulfill the inclusion criteria. Of the 103 patients analyzed at baseline, 57 (55.3%) also participated in the follow-up three months later (Fig. 2). Forty-six patients (44.7%) were lost to follow-up for various reasons, including non-response to phone and mail contact (n = 13), not returning the questionnaire despite reminders (n = 15), organizational challenges (n = 10), refusal of further participation (n = 3), death (n = 3), or planned treatment not being performed due to cancer or rejection (n = 2).

Fig. 2
figure 2

Flow diagram of study population (phase 2, validation study). n: number of patients; baseline: first measurement; follow-up: second measurement, approximately 3 months after the start of treatment

The average age of the study population at baseline was 68.6 ± 10.2 years (range 44–90 years); 70 participants (68.0%) were male and 33 (32.0%) were female (Table 2). The majority of participants were retired (74.2%). The most common PAD stage at baseline was IIb (58.3%). Approximately three months after the start of treatment (follow-up), the most prevalent PAD severity was stage I (41.2%). The most frequently applied treatment was surgical procedure (e.g., bypass surgery and/or thromboendarterectomy) (49.5%), followed by minimally invasive methods (39.8%; Table 2). The participant characteristics were similar in the subgroups of patients who participated at both time points.

Table 2 Characteristics of the study population (validation study)

Internal consistency

Cronbach’s alpha was 0.74 at baseline and 0.84 at follow-up. As both values are > 0.7, they indicate sufficient internal consistency of the QOLPAD at both measurement times [12].

Item responses and missing data

Each item was answered by at least 92 (89.3%) participants at baseline and by at least 44 (89.5%) participants at follow-up (Table 3). Among the patients who completed the QOLPAD at baseline, 78 (76.5%) had no missing items, 17 (16.7%) had one missing item, four (3.9%) had two missing items, and three (3.0%) had between three and six missing items (median, 0; mean, 0.36; SD, 0.85; n = 102). At follow-up, 36 (65.5%) participants had no missing items, 14 (25.5%) had one missing item, three (5.5%) had two missing items, and two (3.6%) had three or four missing items (median, 0; average, 0.49; SD, 0.84; n = 55). The most frequent item not answered was “I have been affected by the illness in my working life” at both measurement times (10.7% at baseline and 22.8% at follow-up).

Table 3 Scores and missing values of QOLPAD items at baseline and follow-up

At baseline, neither floor effects nor ceiling effects were identified with regard to the QOLPAD global score. At follow-up, two patients (3.7%) had the lowest possible score of 0, indicating a small floor effect; there were no ceiling effects at follow-up.

At baseline (i.e., prior to treatment), the highest impairments were found for the item “I have had difficulties walking” (76.2% of patients responded with “quite a lot” or “very much”), followed by “I have had pain in my legs” (69.0%). The item with the lowest level of agreement was “I have had open sores on my legs” (7.1%), followed by “I have required help in my everyday life” (10.0%), and “I have been affected by the illness in my working life” (13.0%; Table 3). At follow-up (i.e., approximately three months after the start of treatment), the items that showed the highest change were “I have had difficulties walking” (76.2% to 27.8% of patients responded with “quite a lot/very much”), and “I have had pain in my legs” (from 69.0% to 16.7%). High skewness was found for the items “I have had open sores on my legs” (87.9% of patients responded with “not at all”), “I have required help in my everyday life” (69.0%), and “I have been affected by the illness in my working life” (70.7%; Table 3).

Distribution of the EQ-5D-3L, EQ VAS and the VascuQoL

Prior to treatment (baseline), the EQ-5D-3L score ranged from 0.08 to 1.00, with a median of 0.59. At follow-up, the score ranged from 0.18 to 1.00, with a median of 0.88. The EQ VAS showed median scores of 50.0 at baseline (range: 10.0 to 97.0) and 70.0 at follow-up (range: 30.0 to 100.0). Before treatment, the values for the VascuQoL ranged from 1.6 to 6.6, with a mean of 3.8 (SD = 1.2). The mean value after treatment was 5.1 (SD = 1.5), with a range from 1.8 to 7.0. Thus, all three measures indicated a higher HRQoL after treatment than at the baseline.

Convergent validity

For convergent validity, we expected stronger correlations with the disease-specific VascuQoL instrument than with the generic EQ-5D-3L and EQ VAS owing to the higher proximity of constructs; this was confirmed by the data (Tables 4, 5). In addition, as expected, we found a significant positive correlation between QOLPAD and both current impairment due to PAD and stage of PAD.

Table 4 Correlation of the QOLPAD with convergent criteria at baseline and distribution of convergent criteria
Table 5 Correlation of the QOLPAD with convergent criteria at follow-up and distribution of convergent criteria

The item intercorrelations of the QOLPAD at the baseline are listed in “Appendix 1”. Item intercorrelations varied widely from − 0.34 to 0.69 (“Appendix 1”).

Sensitivity to change

In the patients who provided data at both time points, the average QOLPAD global score decreased significantly from 1.5 ± 0.67 before, to 1.2 ± 0.77 after treatment (p = 0.001, n = 52, effect size d = 0.42), indicating responsiveness of the instrument. This was supported by the finding that changes in the QOLPAD were significantly associated with changes in the convergent criteria (generic and disease-specific HRQoL, global rating of impairment, PAD stage) and with the benefit indicators measured at follow-up (patient evaluation of treatment effectiveness, patient recommendation of the treatment, and patient assessment of symptom improvement; Table 6). The QOLPAD scores improved in the two most common treatment groups to a similar extent (minimally invasive treatment: mean change: 0.35; SD, 0.73; p = 0.94; surgical treatment: mean change: 0.34; SD, 0.57; p = 0.94).

Table 6 Longitudinal correlations with change in QOLPAD from baseline to follow-up (sensitivity to change)


At baseline, 86.4% of the participants rated the questionnaire as “very easy” or “easy” to complete, compared to 2.9% who found it “difficult.” None of the patients responded “very difficult.” Among the respondents who did not participate in the second survey at follow-up (n = 46), only one (2.2%) rated completion as “difficult” at baseline.

At follow-up, 85.7% of respondents assessed the QOLPAD as “very easy” or “easy” to complete; 3.6% chose “difficult,” and none chose “very difficult.”


This study aimed to develop and validate a short, disease-specific HRQoL instrument for use in patients with PAD. Patients with PAD are known to show rather low adherence, and dropout rates are often higher than those in studies of other patient groups [18]. Therefore, it is particularly important to use easy and short questionnaires, which, nevertheless, are able to determine patient-important burdens of PAD.

The new QOLPAD showed good psychometric properties, including high internal consistency at both measurement time points and convergent validity regarding the HRQoL of generic and disease-specific instruments. Sensitivity to change was supported by significant correlations between change in QOLPAD and changes in convergent criteria; however, the high number of dropouts limits the generalizability of this finding.

Most participants in our study rated the QOLPAD as “very easy” or “easy” to complete. Although many patients were lost to follow-up, there were few missing data in single items of the questionnaire, with each item being answered by at least 89% of participants at both baseline and follow-up. However, for some items, there was a high number of patients who had low or no impairment, including “I have had open sores on my legs,” “I have required help in my everyday life,” and “I have been affected by the illness in my working life.” The first item was only relevant for patients with PAD stage IV and was applied to only 18 patients (17.5%) at baseline. Nevertheless, we regard this item as important, as the QOLPAD should be applicable to patients with all stages of PAD, as well as those with high impairment levels with a particularly high need for improvement. The questionnaire can be used in all PAD stages; therefore, it is necessary to assess a variety of symptoms and impairments, which also leads to the inclusion of questions that may not be applicable to all patients in various PAD stages. Therefore, an additional response choice, such as “does not apply,” could be added in a future questionnaire version. However, this needs to be investigated closely to ensure that it is interpreted correctly. The low impairment of working life can be explained by the fact that the majority of participants were retired, and these participants might not have read or followed the QOLPAD instruction that they should tick “not at all” in this case. However, the aspect of working life was mentioned in the item collection survey by ten out of 50 patients; therefore, it can be assumed that this item is highly relevant to patients who are still working. It was also found to be an important aspect of HRQoL in patients with PAD in a systematic review by Aber et al. [9]. Therefore, the QOLPAD contains at least one item for each of the six important aspects found in the review. When patients who do not work tick “not at all” in the respective item, HRQoL impairment may be underestimated. Again, this may be solved by a “does not apply” choice, or by an additional question on whether the patient is working and excluding the work life item from global score calculation for non-working patients.

The one-page QOLPAD consisted of 12 questions with a five-step response scale. This is considerably shorter than the widely used and recommended seven-page VascuQoL, which contains 25 questions with seven response options that differ between the items. Therefore, the time needed for completion was longer for the VascuQoL than for the QOLPAD. In addition, the VascuQoL, as well as its recently developed short version, the VascuQoL-6 [11], do not cover the aspect of burdens in work life, which is important to non-retired patients. Therefore, the QOLPAD may serve as an alternative to the VascuQoL, especially in younger patient collectives (who have not yet retired) and situations in which brevity is of particular importance, such as in clinical practice or clinical trials where a range of different patient-reported outcomes need to be measured. Nevertheless, due to the short design of the questionnaire with few items, the gathered information is less differentiated and detailed than the data collected with the VascuQoL; by including only one to four items per domain, slight differences in HRQoL between patients as well as over time will be more difficult to detect.

One advantage of the QOLPAD over existing instruments is that it can be used together with the corresponding instrument PBI-PAD, which evaluates treatment goals and therapeutic benefits from the patient’s point of view, while the QOLPAD evaluates current HRQoL impairment. Assessing the QOLPAD both before and after treatment allows detection of the improvement that can be assigned to the treatment, while the PBI-PAD provides a retrospective, direct evaluation of the benefit by the patient. The indirect (pre-post) measurement of change in the HRQoL includes the risk of being affected by response shift bias, while the direct (retrospective) measurement of change may be impaired by recall bias [16]. Hence, it is recommended to combine both measurement approaches in clinical studies, ideally using highly complementary instruments that assess similar content. This can be achieved using both QOLPAD and PBI-PAD.

Given that existing HRQoL instruments have different advantages and disadvantages, a head-to-head comparison could support instrument selection for individual studies [19].


The limitations of this study include the small and narrow study population, including only patients receiving specific interventions, and the high dropout rate. The latter can most likely be attributed to the known low adherence of patients with PAD [18]. An additional reason for non-completion in this study might be that, in the majority of cases, the follow-up questionnaire was sent to participants’ homes instead of asking them to complete it at the clinics, which may have reduced the motivation to complete and return them. However, we found that the patients with and without follow-up data were similar in terms of age, sex, and PAD stage. Due to the small number of patients who participated in the follow-up, the findings on sensitivity to change may be biased and should be interpreted with caution. For example, patients with higher HRQoL improvements may have been more motivated to return the follow-up questionnaire, which would result in the sensitivity findings being less generalizable to the overall patient population. Test-retest reliability should be evaluated in future studies, as well as the psychometric properties in other PAD patient groups. Owing to the limited sample size, no factor analysis was performed. Partly low item intercorrelations need to be examined in future studies to check for unidimensionality. Finally, clinical severity could only be classified using the Fontaine classification, as follow-up was predominantly conducted by mail.


The QOLPAD is a short and feasible disease-specific instrument that can be used to evaluate HRQoL in patients with PAD in clinical routine or research. It can also be used together with the simultaneously developed questionnaire Patient Benefit Index for PAD (PBI-PAD), as both instruments measure complementary aspects of a patient’s situation, focusing either on HRQoL (QOLPAD) or on treatment needs and treatment benefits (PBI-PAD). This study provided evidence that the QOLPAD is internally consistent and valid in patients in Germany receiving treatment for PAD and provided limited evidence on its sensitivity to change.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author upon reasonable request.



EuroQol visual analogue scale


Health-related quality of life


Institute for Health Services Research in Dermatology and Nursing


Number of patients


Level of significance


Peripheral artery disease


Patient Benefit Index for peripheral arterial disease


Quality of Life questionnaire for patients with peripheral artery disease


Spearman’s correlation coefficient


Standard deviation


36-Item Short Form Health Survey


University Medical Center Hamburg-Eppendorf


Vascular Quality of Life questionnaire


Six-item version of Vascular Quality of Life questionnaire


  1. Fowkes FG, Rudan D, Rudan I, Aboyans V, Denenberg JO, McDermott MM et al (2013) Comparison of global estimates of prevalence and risk factors for peripheral artery disease in 2000 and 2010: a systematic review and analysis. Lancet 382:1329–1340

    Article  Google Scholar 

  2. Criqui MH, Aboyans V (2015) Epidemiology of peripheral artery disease. Circ Res 116(9):1509–1526

    Article  CAS  Google Scholar 

  3. Fontaine R, Kim M, Kieny R (1954) Surgical treatment of peripheral circulation disorders. Helv Chir Acta 21:499–533

    CAS  PubMed  Google Scholar 

  4. McDermott MM, Greenland P, Liu K, Guralnik JM, Criqui MH, Dolan NC et al (2001) Leg symptoms in peripheral arterial disease: associated clinical characteristics and functional impairment. JAMA 286:1599–1606

    Article  CAS  Google Scholar 

  5. Koller M, Neugebauer EA, Augustin M, Büssing A, Farin E, Klinkhammer-Schalke M et al (2009) Assessment of quality of life in health services research—conceptual, methodological and structural prerequisites. Gesundheitswesen 71:864–872

    Article  CAS  Google Scholar 

  6. Pell JP (1995) Impact of intermittent claudication on quality of life. Eur J Vasc Endovasc Surg 9(4):469–472

    Article  CAS  Google Scholar 

  7. de Vries M, Ouwendijk R, Kessels AG, de Haan MW, Flobbe K, Hunink MG et al (2005) Comparison of generic and disease-specific questionnaires for the assessment of quality of life in patients with peripheral arterial disease. J Vasc Surg 41(2):261–268

    Article  Google Scholar 

  8. Mehta T, Venkata Subramaniam A, Chetter I, McCollum P (2006) Assessing the validity and responsiveness of disease-specific quality of life instruments in intermittent claudication. Eur J Vasc Endovasc Surg 31(1):46–52

    Article  CAS  Google Scholar 

  9. Aber A, Lumley E, Phillips P, Woods HB, Jones G, Michaels J (2018) Themes that determine quality of life in patients with peripheral arterial disease: a systematic review. Patient 11:489–502

    Article  Google Scholar 

  10. Morgan MB, Crayford T, Murrin B, Fraser SC (2001) Developing the Vascular Quality of Life Questionnaire: a new disease-specific quality of life measure for use in lower limb ischemia. J Vasc Surg 33(4):679–687

    Article  CAS  Google Scholar 

  11. Nordanstig J, Wann-Hansson C, Karlsson J, Lundström M, Pettersson M, Morgan M (2014) Vascular Quality of Life Questionnaire-6 facilitates health-related quality of life assessment in peripheral arterial disease. J Vasc Surg 59:700–707

    Article  Google Scholar 

  12. Poku E, Duncan R, Keetharuth A, Essat M, Phillips P, Woods HB et al (2016) Patient-reported outcome measures in patients with peripheral arterial disease: a systematic review of psychometric properties. Health Qual Life Outcomes 14(1):161

    Article  Google Scholar 

  13. Conijn AP, Jens S, Terwee CB, Breek JC, Koelemay MJ (2015) Assessing the quality of available patient reported outcome measures for intermittent claudication: a systematic review using the COSMIN checklist. Eur J Vasc Endovasc Surg 49(3):316–334

    Article  CAS  Google Scholar 

  14. Zander N, Demirel EB, Augustin M, Sommer R, Debus ES, Breuer P et al (2018) Development and validation of the Patient Benefit Index for peripheral arterial disease. Vasa 47(3):219–226

    Article  Google Scholar 

  15. Blome C, Gosau R, Radtke MA, Reich K, Rustenbach SJ, Spehr C, Thaçi D, Augustin M (2016) Patient-relevant treatment goals in psoriasis. Arch Dermatol Res 308(2):69–78

    Article  Google Scholar 

  16. Blome C, Augustin M (2015) Measuring change in quality of life: bias in prospective and retrospective evaluation. Value Health 18:110–115

    Article  Google Scholar 

  17. The EuroQol Group (1990) EuroQol—a new facility for the measurement of health-related quality of life. Health Policy 16:199–208

    Article  Google Scholar 

  18. Jeger RV, Rickenbacher P, Pfisterer ME, Hoffmann A (2008) Outpatient rehabilitation in patients with coronary artery and peripheral arterial occlusive disease. Arch Phys Med Rehabil 89:618–621

    Article  Google Scholar 

  19. Augustin M, Baade K, Heyer K, Price PE, Herberger K, Wild T et al (2017) Quality-of-life evaluation in chronic wounds: comparative analysis of three disease-specific questionnaires. Int Wound J 14:1299–1304

    Article  Google Scholar 

Download references


The authors thank Toni Klein and the Scientific Communication Team of the Institute for Health Services Research in Dermatology and Nursing, particularly Mathilda Meyer and Mario Gehoff, for copy editing.


Open Access funding enabled and organized by Projekt DEAL. This research did not receive any specific grants from funding agencies in the public, commercial, or not-for-profit sectors.

Author information

Authors and Affiliations



EA made substantial contributions to the conception of the study and interpretation of data, was involved in the acquisition of patients, and drafted the manuscript. MA made substantial contributions to the conception of the work and revised the manuscript. NM made substantial contributions to the analysis of data. SD was substantially involved in the acquisition of patients. PB was substantially involved in the acquisition of patients. CB made substantial contributions to the concept of the work, the analysis, and interpretation of data, and contributed to writing the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Christine Blome.

Ethics declarations

Ethics approval and consent to participate

All procedures performed in this study involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards. The local Ethics Committee of the Medical Association of Hamburg approved this study (PV4888).

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Appendix 1

Appendix 1

See Table 7.

Table 7 QOLPAD item intercorrelations (Spearman’s correlation coefficient) at baseline

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Arman, EB., Augustin, M., Mohr, N. et al. Development and validation of a disease-specific quality of life questionnaire for patients with peripheral artery disease (QOLPAD). J Patient Rep Outcomes 6, 54 (2022).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: