Literature DB >> 29123383

Internal consistency and item-total correlation of patient-reported outcome instruments and hemophilia joint health score v2.1 in US adult people with hemophilia: results from the Pain, Functional Impairment, and Quality of life (P-FiQ) study.

Michael Wang1, Katharine Batt2, Craig Kessler3, Anne Neff4, Neeraj N Iyer5, David L Cooper5, Christine L Kempton6.   

Abstract

BACKGROUND: The Pain, Functional Impairment, and Quality of Life study was an observational, cross-sectional assessment of the impact of pain on functional impairment and quality of life in adult people with hemophilia (PWH) of any severity in the USA who experience joint pain and/or bleeding.
OBJECTIVE: To assess internal consistency (IC) and item-total correlation (ITC) of assessment tools used in the Pain, Functional Impairment, and Quality of Life study.
METHODS: Participants completed 5 patient-reported outcome instruments (EQ-5D-5L with visual analog scale, Brief Pain Inventory v2 Short Form [BPI], International Physical Activity Questionnaire [IPAQ], Short Form 36 Health Survey v2 [SF-36v2], and Hemophilia Activities List [HAL]) and underwent an optional physiotherapist-administered musculoskeletal exam (Hemophilia Joint Health Score v2.1) during routine visits. Reliability assessment included IC and ITC of each instrument.
RESULTS: A total of 381 adult PWH (median age, 34 years) were enrolled. Participants were predominantly white/non-Hispanic (69.2%); 75% had congenital hemophilia A, and 70.5% had severe hemophilia. A total of 310 subjects reported bleeding within the past 6 months (mean [SD] number of bleeds, 7.1 [13.00]). IC was generally high across the instruments employed (Cronbach's alpha 0.79-0.98) with the exception of HAL use of transportation (0.58) and IPAQ total physical activity (0.51). ITC was high (Pearson's product-moment correlation coefficient >0.20) for all items except the "vigorous intensity activities" item of IPAQ, which was applicable to less than one-third of participants. The ITCs were generally highest in domains/scores that measured the functional consequences of hemophilic arthropathy on mobility and pain.
CONCLUSION: The demonstrated reliability (IC/ITC) of the patient-reported outcome instruments and Hemophilia Joint Health Score v2.1 support a role for these instruments in evaluating adult PWH in US clinical and research settings.

Entities:  

Keywords:  functional impairment; hemophilia; joint health; pain; patient-reported outcome; quality of life

Year:  2017        PMID: 29123383      PMCID: PMC5661843          DOI: 10.2147/PPA.S141391

Source DB:  PubMed          Journal:  Patient Prefer Adherence        ISSN: 1177-889X            Impact factor:   2.711


Introduction

The Pain, Functional Impairment, and Quality of Life (P-FiQ) study was an observational, cross-sectional assessment of the impact of pain on functional impairment and health-related quality of life (HRQoL) in adult people with hemophilia (PWH) of any severity in the USA who experience joint pain or bleeding. The study was designed to assess HRQoL parameters (primary objective) as well as reliability and validity of the general and disease-specific patient-reported outcome (PRO) instruments and physical therapist-administered joint assessment tool used (secondary objective). Overall, P-FiQ demonstrated a high prevalence of pain and functional impairment in the study population, with approximately three-fourths (76.1%) of participants reporting pain and/or discomfort at the time of assessment, and 61.4% reporting impaired mobility.1–3 An overall negative impact on HRQoL was observed, particularly with respect to physical domains, and was generally greatest in domains related to lower vs upper extremity joints. The P-FiQ study used 5 generic and disease-specific PRO instruments (EQ-5D-5L, Brief Pain Inventory v2 Short Form [BPI], International Physical Activity Questionnaire [IPAQ], Short Form 36 Health Survey v2 [SF-36v2], and Hemophilia Activities List [HAL]) and one clinician-administered joint evaluation tool (Hemophilia Joint Health Score v2.1 [HJHS]) to assess pain, functional impairment, and quality of life in the enrolled population.2 Of the PRO instruments used, only 3 have previously been employed in clinical studies conducted in PWH in the USA (SF-36,4,5 EQ-5D,6,7 and HAL8), and none have been validated in English-speaking PWH. Of note, the 2 previous studies using the EQ-5D employed the 3-level response version (EQ-5D-3L), and P-FiQ was the first US hemophilia study in which the 5-level response version (EQ-5D-5L)9 was used. P-FiQ is also one of few reports using the physical therapist-administered HJHS in adult PWH, likely because the HJHS was not designed for this purpose (it was developed to detect early signs of joint damage in children with hemophilia10,11), and it has not yet been assessed for reliability or validity in adults. The extent and impact of pain on functioning and HRQoL are generally accepted to be important considerations in PWH, as recurrent joint bleeds may result in progressive hemophilic arthropathy; however, PWH are rarely assessed in the clinical setting through use of PRO instruments or in any consistent fashion at hemophilia treatment centers. Surveys conducted in both the USA12 and Europe13 have shown that pain assessment and management tools are generally underutilized by hemophilia treatment centers. In the USA, only 15% of the 98 centers surveyed indicated that pain management was formally a part of their comprehensive care approach.12 Likewise, in Europe, only 8 (36%) of 22 centers surveyed reported the use of any formal pain assessment scales, and only 2 reported using the services of a pain specialist, despite the high prevalence of arthropathy (67%) and chronic pain (38%) observed among the adults they treated.13 This apparent omission is likely at least partially attributable to the lack of demonstrated applicability of available assessment tools. This report describes the internal consistency (IC; the extent to which items within an instrument measure the same concept) and item-total correlation (ITC; the contribution of each item to instrument consistency as determined by the ability to discriminate between high- and low-scoring individuals) of the 5 PRO instruments and HJHS in adult PWH in the P-FiQ study. Test–retest reliability was also evaluated in a subset of the initial patients enrolled in the study, and validity (construct validity and known-group validity) was evaluated as a secondary objective of the study; results of these analyses are presented separately within this thematic series.14,15

Methods

Study design

The P-FiQ study (NCT01988532) was an observational, cross-sectional assessment of adult PWH designed to assess the impact of pain on functional impairment and HRQoL. Male PWH either with or without inhibitors to coagulation factors VIII or IX, aged 18 years or older, and with a history of joint pain or bleeding completed 5 PRO instruments and underwent a musculoskeletal exam during a routine comprehensive care visit, while in a non-bleeding state. Subjects in a retest cohort completed the PRO instruments again at the end of their visit (3–4 hours later). The study enrolled participants at 15 US sites between October 2013 and October 2014, and informed consent was obtained from all participants prior to engagement in study-related activities. All surveys were conducted in English. The names of all approving institutional review boards are listed in the Supplementary material.

Patient-reported outcome and HJHS scales

The 5-level EQ-5D (EQ-5D-5L)9 was used to assess current (“today”) health status. Subjects rated their current health state on a 100-point (20-cm) visual analog scale with anchors of “worst imaginable” and “best imaginable.” Subjects also rated health status across 5 domains (mobility, self-care, usual activities, pain/discomfort, and anxiety/depression) using 5 response levels (none, slight, moderate, severe, or extreme problems). Index summary scores were calculated using the EuroQoL index value calculator.16 The BPI17 was used to evaluate pain severity and interference. Subjects rated pain severity (current, worst, least, and average) and pain interference (effects on general activity, mood, walking ability, normal work, relations with other people, sleep, and enjoyment of life) during the past 7 days on scale of 1 (“no pain” or “does not interfere”) to 10 (“pain as bad as you can imagine” or “completely interferes”). The IPAQ short form18 was used to measure the level of physical activity over the previous week. Participants provided the time (duration and frequency) spent walking as well as engaging in vigorous-intensity and moderate-intensity activities. A weighted estimate of total activity per week (metabolic equivalents of task [MET] min/wk) was calculated using MET energy expenditure estimates assigned to each category of activity (walking, 3.3 METs/min; moderate activities, 4.0 METs/min; vigorous activities, 8.0 METs/min). Participants reporting no physical activity in the prior week were excluded from MET analyses. The 36-question SF-36v219 was used to assess health status across 8 domains (physical functioning, role physical, bodily pain, general health, vitality, social functioning, role emotional, and mental health) over the preceding 4 weeks. Responses were recorded using a 100-point scale on which higher scores were indicative of better health status. Psycho-metrically based physical and mental health summary scores were also derived. The HAL20,21 was used to assess function across 7 domains (lying/sitting/kneeling/standing, functions of the legs, functions of the arms, use of transportation, self-care, household tasks, and leisure activities and sports) over the preceding month. Responses were recorded using a 0- to 100-point scale, with higher scores indicating better functional status. Additionally, 3 component scores (upper extremity activities, basic lower extremity activities, and complex lower extremity activities) and an overall score were calculated from domain scores. The HJHS v2.111 was used to assess joint impairment and gait. Investigators (or their designees) rated multiple items (swelling, duration of swelling, muscle atrophy, crepitus on motion, flexion loss, extension loss, joint pain, and strength) for left and right elbow, knee, and ankle joints, and calculated a total score for each of 3 domains (elbows, knees, and ankles). Potential scores ranged from 0 to 40 for each domain, with lower scores indicative of better function. Additionally, investigators assigned a global gait score (range, 0–4) based on the assessment of skills relating to walking, climbing stairs, running, and hopping on 1 leg. A total HJHS score was obtained by summing the totals for each joint and global gait (potential total HJHS score range, 0–124).

Statistical analysis

IC was evaluated by Cronbach’s alpha (α), a widely used measure of variability. All domains and global scores were assessed using this approach, and Cronbach’s α values >0.70 were considered satisfactory.22 ITC was evaluated by Pearson’s product-moment correlation coefficient (r). The correlation between each individual item and the domain and/or global scores omitting the item was assessed; correlation values >0.20 were considered satisfactory.23 Alpha indicates the IC of the remaining items if the selected items were deleted from the total score.

Results

Participants

A total of 381 PWH were enrolled in the study, with a median age of 34 years (range, 18–86 years). Subjects were predominantly white and non-Hispanic (69.2%), well educated (60.7% had a college, graduate, or postgraduate level of education), and employed (77.2% worked full or part time or were self-employed). Approximately three-fourths (75%) of subjects had congenital hemophilia A; most had severe hemophilia (70.5%), and a minority (8.7%) had inhibitors. A total of 310 subjects reported bleeding within the past 6 months; the mean (SD) number of bleeds in this subgroup was 7.1 (13.0). Nearly half were currently receiving routine infusions to prevent bleeding (43.5%); others were receiving on-demand (37.7%) or mostly on-demand (18.7%) treatment of bleeding. Approximately one-third (31.5%) reported spending at least half of their life on prophylaxis. A subset of subjects (240 [63%]) underwent the optional HJHS assessment.

Internal consistency

Cronbach’s α values (Table 1) were above the threshold of 0.70 and ranged from 0.79 to 0.98 across the domains of the PRO scales and the HJHS, with the exception of HAL use of transportation (α=0.58) and IPAQ total physical activity (α=0.51). Of note, 2 of the 3 items within the HAL use of transportation domain were indicated as not applicable to substantial proportions of respondents (using public transportation, 40.7%; riding a bicycle, 28.6%). Analysis of IPAQ total physical activity was limited to the 166 participants who reported some physical activity in the prior week (43.6%); an additional 45.4% reported <10 minutes of activity per week, and 11.0% had missing data.
Table 1

Internal consistency of patient-reported outcome and HJHS scores

ItemnCronbach’s alpha
EQ-5D-5L
Index3750.81
BPI
Pain severity3720.92
Pain interference3750.96
IPAQ
Total physical activitya2080.51*
SF-36v2
Physical functioning3760.94
Role physical3740.96
Bodily pain3790.87
General health3760.82
Vitality3790.79
Social functioning3770.86
Role emotional3770.96
Mental health3750.86
Physical health summary3610.96
Mental health summary3610.96
HAL
Lying/sitting/kneeling/standing3680.94
Functions of the legs3720.96
Functions of the arms3780.89
Use of transportation3770.58*
Self-care3790.90
Household tasks3780.92
Leisure activities and sports3770.89
Upper extremity activities3760.92
Basic lower extremity activities3750.96
Complex lower extremity activities3700.94
Total score3480.98
HJHS
Total score2280.97

Notes:

Excluding participants with no reported physical activity.

Cronbach’s alpha ≤0.70.

Abbreviations: BPI, Brief Pain Inventory v2 Short Form; HAL, Hemophilia Activities List; HJHS, Hemophilia Joint Health Score v2.1; IPAQ, International Physical Activity Questionnaire; SF-36v2, Short Form 36 Health Survey v2.

Item-total correlation

EuroQoL 5 Dimensions 5 Levels

All EQ-5D-5L items exhibited satisfactory correlation with the index score (Pearson’s r>0.2) and ranged from 0.39 to 0.73 (Table 2). Mobility, usual activities, and pain/discomfort showed the highest correlations with index scores (r=0.70–0.73). Self-care and anxiety/depression were less correlated with index scores (r=0.53 and 0.39, respectively), and IC was slightly higher when these items were deleted from the total score (α=0.80 and 0.83, respectively, compared with 0.73–0.74). Of note, self-care and anxiety/depression problems were reported by a minority of subjects (18.9% and 43.4%, respectively).
Table 2

Item-total correlation: EQ-5D-5L, BPI, and IPAQ

ItemPearson’s rAlphaa
EQ-5D-5L index
Mobility0.700.74
Self-care0.530.80
Usual activities0.710.73
Pain/discomfort0.730.73
Anxiety/depression0.390.83
BPI pain severity
Worst pain0.790.92
Least pain0.790.91
Average pain0.880.88
Current pain0.850.89
BPI pain interference
General activity0.900.95
Mood0.880.95
Walking ability0.790.96
Normal work0.870.95
Relations with other people0.820.95
Sleep0.820.95
Enjoyment of life0.880.95
IPAQ total physical activityb
Walking0.500.26
Moderate intensity activities0.670.13
Vigorous intensity activities0.12*0.64

Notes:

Indicates internal consistency of remaining items if the elected item were deleted from the total score.

Excluding participants with no reported physical activity.

r≤0.20.

Abbreviations: BPI, Brief Pain Inventory v2 Short Form; IPAQ, International Physical Activity Questionnaire; r, Pearson’s product-moment correlation with the total score.

Brief Pain Inventory v2 Short Form

All items within BPI pain severity had high ITC, ranging from 0.79 (worst pain and least pain) to 0.88 (average pain) (Table 2). BPI pain interference domains also showed high ITCs, ranging from 0.79 (walking ability) to 0.90 (general activity).

International Physical Activity Questionnaire

Despite the limited number of subjects reporting any activity in the prior week, both walking and moderate intensity activities had satisfactory correlation with the total physical activity score (r=0.50 and 0.67, respectively; Table 2). Vigorous intensity activities exhibited low correlation with total physical activity (r=0.12); however, it is notable that only 55 participants (33.1% of those who engaged in any physical activity) reported engaging in any vigorous activities during the week prior to the survey.

Short Form 36 Health Survey v2

All items within the SF-36v2 exhibited satisfactory correlation with their respective domain scores (r=0.42–0.93; Table 3). In general, items in the role physical and role emotional domains had relatively high correlations (r=0.87–0.93), and items in the vitality domain had lower correlations (r=0.56–0.63). Overall, items with the lowest correlations were “expect health will get worse” and “health is excellent” with the total general health score (r=0.42 and 0.52, respectively) and “bathing or dressing” with the total physical functioning score (r=0.50). Deletion of “expect health will get worse” and “health is excellent” from the total general health score resulted in notable improvements in IC (α=0.84 and 0.81, respectively, compared with 0.74–0.76). The relatively low ITC of “bathing or dressing” compared with other items in the physical functioning domain suggests that mobility-related items, rather than self-care items, drive the physical functioning domain score.
Table 3

Item-total correlation: SF-36v2

ItemPearson’s rAlphaa
Physical functioning
Vigorous activity0.680.94
Moderate activity0.800.93
Lifting or carrying groceries0.750.94
Climbing several flights of stairs0.830.93
Climbing one flight of stairs0.800.93
Bending, kneeling, or stooping0.730.94
Walking more than a mile0.840.93
Walking several hundred yards0.860.93
Walking one hundred yards0.780.93
Bathing or dressing0.500.94
Role physical
Cut down amount of work time due to physical health0.890.95
Accomplished less than you would like, due to physical health0.900.94
Limited in the kind of work, due to physical health0.890.95
Difficulty performing work, due to physical health0.900.94
Bodily pain
Bodily pain during past 4 weeks0.77NA
Pain interference, normal work0.77NA
General health
General health status0.700.76
Get sick a little easier than others0.690.76
Healthy as others0.760.74
Expect health will get worse0.420.84
Health is excellent0.520.81
Vitality
Feel full of life0.560.76
Have a lot of energy0.620.73
Feel worn out0.630.73
Feel tired0.610.74
Social functioning
Severity of interference with normal social activity0.76NA
Time of interference with social activities0.76NA
Role emotional
Cut down amount of work time, due to emotional health0.930.92
Accomplished less than you would like, due to emotional health0.920.93
Worked less carefully than usual, due to emotional health0.870.96
Mental health
Feel calm and peaceful0.650.83
Feel happy0.620.84
Feel very nervous0.620.84
Feel down in the dumps0.720.82
Feel downhearted and depressed0.760.80

Note:

Indicates internal consistency of remaining items if the elected item were deleted from the total score.

Abbreviations: NA, not assessable; r, Pearson’s product-moment correlation with the total score; SF-36v2, Short Form 36 Health Survey v2.

Hemophilia Activities List

All items on the HAL had satisfactory correlation with total domain scores (r=0.34–0.92; Table 4). In general, the lowest correlations were observed in the domain use of transportation (r=0.34–0.49); however, 2 of these items showed high numbers of “not applicable” responses (using public transportation, 40.7%; riding a bicycle 28.6%). Riding a bicycle also exhibited a low correlation with the domain score complex lower extremity activities (r=0.44).
Table 4

Item-total correlation: Hemophilia Activities List

ItemPearson’s rAlphaa
Lying/sitting/kneeling/standing
Sitting down0.680.94
Rising from a chair with armrests0.800.93
Rising from a chair without armrests0.830.93
Kneeling/squatting0.880.93
Bending forward0.720.94
Kneeling long time0.860.93
Squatting long time0.860.93
Standing long time0.790.93
Functions of the legs
Walking long distances0.810.96
Walking on a soft surface0.890.96
Walking on an uneven surface0.870.96
Strolling0.890.96
Climbing up the stairs0.840.96
Climbing down the stairs0.890.96
Running0.880.96
Jumping0.820.96
Functions of the arms
Lifting heavy objects0.840.82
Carrying heavy objects0.870.81
Fine hand movements0.650.90
Reaching above your head0.720.87
Use of transportation
Riding a bicycle0.490.39
Getting in and out of car0.450.44
Using public transportation0.340.57
Self-care
Drying your whole body0.820.87
Putting on a shirt, sweater, etc.0.830.87
Putting on socks and shoes0.780.88
Putting on a tie0.740.89
Going to the toilet0.670.90
Household tasks
Going out shopping0.720.91
Washing the dishes0.830.90
Cleaning the house0.890.89
Other household tasks0.850.90
Doing odd jobs0.860.89
Gardening0.600.94
Leisure activities and sports
Playing games (outdoors)0.690.87
Sports0.720.88
Going out (theater/museum/bar)0.760.87
Hobbies0.640.88
Dancing0.670.88
Going on a holiday (active)0.760.87
Going on a holiday (passive/beach/hotel)0.720.87
Upper extremity activities
Lifting heavy objects0.730.91
Carrying heavy objects0.750.91
Fine hand movements0.740.91
Reaching above your head0.780.90
Drying your whole body0.750.91
Putting on a shirt, sweater, etc.0.780.91
Putting on socks and shoes0.730.91
Putting on a tie0.720.91
Going to the toilet0.620.92
Basic lower extremity activities
Standing long time0.770.96
Walking short distances0.860.95
Walking long distances0.920.94
Walking on a soft surface0.880.95
Walking on an uneven surface0.890.94
Strolling0.870.95
Complex lower extremity activities
Rising from a chair without armrests0.750.94
Kneeling/squatting0.880.93
Kneeling long time0.850.93
Squatting long time0.860.93
Climbing up the stairs0.840.94
Climbing down the stairs0.840.94
Running0.840.93
Jumping0.860.93
Riding a bicycle0.440.96

Note:

Indicates internal consistency of remaining items if the elected item were deleted from the total score.

Abbreviation: r, Pearson’s product-moment correlation with the total score.

Hemophilia Joint Health Score v2.1

All items on the HJHS had satisfactory correlation with their respective joint total scores (r=0.34–0.83; Table 5). Within each HJHS domain, ITC varied across component scores. For example, within the ankle domain, correlation was highest for crepitus (left, r=0.74; right, r=0.73) and lowest for strength (left, r=0.54; right, r=0.49). The lowest ITC was for global gait (r=0.34).
Table 5

Item-total correlation: Hemophilia Joint Health Score

ItemElbow (n=232)
Knee (n=231)
Ankle (n=232)
Total (n=228)
Pearson’s rAlphaaPearson’s rAlphaaPearson’s rAlphaaPearson’s rAlphaa
Swelling, left0.480.890.730.950.670.910.540.97
Swelling, right0.420.900.760.940.620.910.590.97
Duration (swelling), left0.570.890.750.940.550.910.560.97
Duration (swelling), right0.510.890.710.950.590.910.590.97
Atrophy, left0.700.890.810.940.670.910.680.97
Atrophy, right0.620.890.830.940.640.910.700.97
Crepitus, left0.690.890.770.940.740.900.660.97
Crepitus, right0.610.890.760.940.730.900.680.97
Flexion loss, left0.710.880.740.940.700.900.660.97
Flexion loss, right0.670.890.770.940.680.900.700.96
Extension loss, left0.710.880.740.940.690.900.670.97
Extension loss, right0.670.890.750.940.670.910.690.96
Joint pain, left0.510.890.740.950.570.910.540.97
Joint pain, right0.380.900.760.940.560.910.550.97
Strength, left0.500.900.600.950.540.910.550.97
Strength, right0.500.900.550.950.490.920.540.97
Global gait0.340.97

Note:

Indicates internal consistency of remaining items if the elected item were deleted from the total score.

Abbreviation: r, Pearson’s product-moment correlation with the total score.

Discussion

The current analysis of data from the P-FiQ study supports the PRO instruments and HJHS as appropriate for use in clinical and research settings in the USA. Overall, the tools used in P-FiQ exhibited sufficient IC, with the majority of Cronbach’s α scores falling between 0.79 and 0.98. These scores represent high levels of domain/global score correlation. The 2 notable exceptions (the transportation domain of HAL and the total physical activity domain of IPAQ) may reflect the small numbers of participants to which these activities applied. ITC was established for all instruments except for the “vigorous intensity activities” item of the IPAQ, an item that was applicable to less than one-third of the surveyed population. Across the remaining scales, ITCs were generally highest in domains/scores that measured the functional consequences of hemophilic arthropathy on mobility and pain. A number of factors may have influenced these findings. A large proportion of PWH either cannot (due to hemophilic arthropathy) or chose not (related or unrelated to hemophilia) to participate in physical activity.24 In the current study, ~45% of the adult PWH surveyed reported <10 minutes of physical activity over the past week. Among those who did report physical activity, moderate and vigorous activities were uncommon (~33% of those with any physical activity reported participating in each2). Low levels of participation in physical activity therefore limited the number of responses to questions related to specific activities. This limitation was most apparent on the IPAQ, where the total physical activity score had poor interrelatedness (α=0.51), and ITC for vigorous intensity activity was below the acceptable threshold of r=0.20. The clinical applicability of the IPAQ in PWH in the USA may, therefore, be limited to identifying changes in activity in PWH who are active, and its relevance in PWH who lead more sedentary lifestyles remains uncertain. Local variability in the relevance of specific PRO items may also have influenced our findings. For example, the HAL items “riding a bicycle” and “using public transportation” were not universally relevant; 28.6% and 40.7% of participants, respectively, reported that these items did not apply to them. Low applicability of these items may not be surprising considering the geography of the USA, where bicycling and public transportation are not always feasible or accessible. Interestingly, the IC of the transportation domain of the HAL in the initial validation study conducted in the Netherlands was also the lowest of all the HAL domains tested (α=0.64 vs 0.84–0.96).21 The investigators attributed the lower IC in that study to both the limited number of items in the domain (3) as well as the diversity of those items (riding a bicycle, getting in and out of a car, and using public transportation). Of note, in some cases, investigators have omitted certain items deemed to be of limited relevance; for example, a recent validation study using the HAL in PWH in Colombia omitted the transportation domain due to a perceived lack of relevance within the study population.25 Overall, the HAL demonstrated satisfactory reliability in the P-FiQ study, and despite this limitation may be useful for evaluating adult PWH in the USA. Certain aspects of the design of the P-FiQ study may also have influenced our results. The 5 PRO instruments used comprised a substantial number of questions (>100), thus the potential for respondent fatigue must be considered. However, test–retest reliability was acceptable in a subpopulation of 164 PWH,15 and the assessment of reliability described in this report used the first responses of the entire 381 PWH study population, which may be expected to more accurately reflect participant perception. Additionally, participants were required to be able to complete the scales in English; our findings may not, therefore, be generalizable to Hispanic PWH in the USA (~11%–14% of people with hemophilia A or B26), some of whom may prefer to complete scales in Spanish or respond differently. Furthermore, because the P-FiQ patient population was selected for a history of joint pain or bleeding, these results cannot be assumed to apply to individuals with less significant joint damage.

Conclusion

Most of the domains of the 5 PRO instruments and HJHS used in the P-FiQ study demonstrated high IC, with the exception of the HAL use of transportation domain and the IPAQ total physical activity score. ITC was established for all instruments except the “vigorous intensity activities” item of the IPAQ. The demonstrated reliability (IC and ITC) of these instruments support their potential role in evaluating adult PWH within the clinical setting in the USA.

Supplementary material

List of independent ethics committees/institutional review boards Munson Medical Center, 1105 Sixth Street, Traverse City, MI 49684-2386, USA Emory University, 1599 Clifton Road, 5th Floor, Atlanta, GA 30322, USA St Vincent Hospital and Health Care Center, Inc., 8402 Harcourt Road, Suite 805, Indianapolis, IN 46260, USA Western Institutional Review Board, 3535 7th Avenue SW, Olympia, WA 98502-5010, USA Henry Ford Health System, CFP-Basement 046, 2799 West Grand Boulevard, Detroit, Ml 48202-2689, USA, Chairperson: Dr Timothy Roehrs, PhD Vanderbilt University, 504 Oxford House, Nashville, TN 37232-4315, USA Western Institutional Review Board, 1019 39th Avenue SE, Puyallup, WA 98374, USA University of Colorado Multiple, Institutional Review Board, 13001 E. 17th Place, Building 500, Room N3214, Aurora, CO 80045, USA Michigan State University, Olds Hall, 408 West Circle Drive, #207, East Lansing, MI 48824, USA, Chairperson: Dr Ashir Kumar Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR 97239-3098, USA University of Minnesota, D528 Mayo Memorial Building, 420 Delaware Street S.E., MMC 820, Minneapolis, MN 55455, USA Rush University Medical Center, 1653 West Congress Parkway, Chicago, IL 60612-3833, USA Wake Forest University Health Services, Medical Center Boulevard, Winston-Salem, NC 27157-1023, USA Georgetown University, 37th and O Streets, N.W., Washington, DC 20057, USA
  19 in total

1.  U.S. survey of surgical capabilities and experience with surgical procedures in patients with congenital haemophilia with inhibitors.

Authors:  A Shapiro; D L Cooper
Journal:  Haemophilia       Date:  2011-12-14       Impact factor: 4.287

2.  International physical activity questionnaire: 12-country reliability and validity.

Authors:  Cora L Craig; Alison L Marshall; Michael Sjöström; Adrian E Bauman; Michael L Booth; Barbara E Ainsworth; Michael Pratt; Ulf Ekelund; Agneta Yngve; James F Sallis; Pekka Oja
Journal:  Med Sci Sports Exerc       Date:  2003-08       Impact factor: 5.411

Review 3.  Pain management in patients with haemophilia: a European survey.

Authors:  K Holstein; R Klamroth; M Richards; M Carvalho; R Pérez-Garrido; A Gringeri
Journal:  Haemophilia       Date:  2012-04-25       Impact factor: 4.287

4.  Hemophilia joint health score reliability study.

Authors:  P Hilliard; S Funk; N Zourikian; B-M Bergstrom; C S Bradley; M McLimont; M Manco-Johnson; P Petrini; M van den Berg; B M Feldman
Journal:  Haemophilia       Date:  2006-09       Impact factor: 4.287

5.  Validation of a new pediatric joint scoring system from the International Hemophilia Prophylaxis Study Group: validity of the hemophilia joint health score.

Authors:  Brian M Feldman; Sharon M Funk; Britt-Marie Bergstrom; Nichan Zourikian; Pamela Hilliard; Janjaap van der Net; Raoul Engelbert; Pia Petrini; H Marijke van den Berg; Marilyn J Manco-Johnson; Georges E Rivard; Audrey Abad; Victor S Blanchette
Journal:  Arthritis Care Res (Hoboken)       Date:  2011-02       Impact factor: 4.794

6.  Measuring patients' perceptions on their functional abilities: validation of the Haemophilia Activities List.

Authors:  F R van Genderen; P Westers; L Heijnen; P de Kleijn; H M van den Berg; P J M Helders; N L U van Meeteren
Journal:  Haemophilia       Date:  2006-01       Impact factor: 4.287

Review 7.  Assessment of acute and persistent pain management in patients with haemophilia.

Authors:  M Witkop; A Lambing; E Kachalsky; G Divine; D Rushlow; J Dinnen
Journal:  Haemophilia       Date:  2011-02-15       Impact factor: 4.287

8.  A national study of pain in the bleeding disorders community: a description of haemophilia pain.

Authors:  M Witkop; A Lambing; G Divine; E Kachalsky; D Rushlow; J Dinnen
Journal:  Haemophilia       Date:  2011-12-16       Impact factor: 4.287

9.  Functional consequences of haemophilia in adults: the development of the Haemophilia Activities List.

Authors:  F R van Genderen; N L U van Meeteren; J G van der Bom; L Heijnen; P de Kleijn; H M van den Berg; P J M Helders
Journal:  Haemophilia       Date:  2004-09       Impact factor: 4.287

10.  Development and preliminary testing of the new five-level version of EQ-5D (EQ-5D-5L).

Authors:  M Herdman; C Gudex; A Lloyd; Mf Janssen; P Kind; D Parkin; G Bonsel; X Badia
Journal:  Qual Life Res       Date:  2011-04-09       Impact factor: 4.147

View more
  4 in total

1.  Gait Alteration Due to Haemophilic Arthropathies in Patients with Moderate Haemophilia.

Authors:  Alban Fouasson-Chailloux; Fabien Leboeuf; Yves Maugars; Marc Trossaert; Pierre Menu; François Rannou; Claire Vinatier; Jérome Guicheux; Raphael Gross; Marc Dauty
Journal:  Int J Environ Res Public Health       Date:  2022-06-20       Impact factor: 4.614

2.  Physical activity questionnaire for older children (PAQ-C): Arabic translation, cross-cultural adaptation, and psychometric validation in school-aged children in Saudi Arabia.

Authors:  Mohamed Sherif Sirajudeen; Mohamed Waly; Md Dilshad Manzar; Mazen Alqahtani; Msaad Alzhrani; Ahmad Alanazi; Radhakrishnan Unnikrishnan; Hariraja Muthusamy; Rashmi Saibannavar; Wafa Alrubaia
Journal:  PeerJ       Date:  2022-04-12       Impact factor: 3.061

3.  Psychometric Properties of the General Anxiety Disorders-7 Scale Using Categorical Data Methods: A Study in a Sample of University Attending Ethiopian Young Adults.

Authors:  Md Dilshad Manzar; Ahmad H Alghadir; Shahnawaz Anwer; Mazen Alqahtani; Mohammed Salahuddin; Habtamu Acho Addo; Wakuma Wakene Jifar; Nofaa Ali Alasmee
Journal:  Neuropsychiatr Dis Treat       Date:  2021-03-22       Impact factor: 2.570

4.  Relationship Between Levels of Digital Health Literacy Based on the Taiwan Digital Health Literacy Assessment and Accurate Assessment of Online Health Information: Cross-Sectional Questionnaire Study.

Authors:  Peggy Liu; Ling-Ling Yeh; Jiun-Yi Wang; Shao-Ti Lee
Journal:  J Med Internet Res       Date:  2020-12-21       Impact factor: 5.428

  4 in total

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