Literature DB >> 30859671

Professional functioning of young adults with congenital coagulation disorders in the Netherlands.

Perrine F Limperg1, Heleen Maurice-Stam1, Lotte Haverman1, Michiel Coppens2, Marieke J H A Kruip3, Jeroen Eikenboom4, Martha A Grootenhuis1, Marjolein Peters5.   

Abstract

INTRODUCTION AND AIM: Suboptimal health-related quality of life and lowered employment rates found in a previous study in young adults (YA) with congenital coagulation disorders (CCD) in the Netherlands underline the need for more insight into professional functioning of YA with CCD and into determinants of professional functioning.
METHODS: Young adults (18-30 years) with CCD participated in a cross-sectional study. Professional functioning was assessed with the Work Productivity and Activity Impairment questionnaire (WPAI). Potential determinants were assessed with the Course of Life Questionnaire (CoLQ), Pediatric Quality of Life Inventory Young Adult version (PedsQL_YA), Illness Cognition Questionnaire (ICQ) and Haemophilia Activities List (HAL). Logistic regression analyses were performed in the complete sample of YA with CCD, and in YA men with haemophilia separately, to examine determinants of WPAI outcomes.
RESULTS: Ninety-four YA (77 men; mean age 24.1 years, SD 3.5 and 17 women; mean age 24.5 years, SD 3.8) with CCD (74% haemophilia A/B) participated. 74.5% of YA were paid employed for on average 30 hours per week. Of these, more than a quarter reported work impairment. Older age and a non-severe type of haemophilia (in the sample of YA men with haemophilia) were associated with successful (paid) employment. No variables were associated with professional functioning (expressed as Presenteeism and Overall work impairment) in patients with CCD or haemophilia.
CONCLUSION: Three-quarters of YA with CCD were successful in finding paid employment. Though absenteeism was low, YA with paid employment needs attention as a considerable part experienced work impairment.
© 2019 The Authors. Haemophilia Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  haemophilia; impairment; professional functioning; work; young adults

Mesh:

Year:  2019        PMID: 30859671      PMCID: PMC6850762          DOI: 10.1111/hae.13698

Source DB:  PubMed          Journal:  Haemophilia        ISSN: 1351-8216            Impact factor:   4.287


INTRODUCTION

Haemophilia A and B and von Willebrand disease (VWD) are the most common congenital coagulation disorders (CCD) identified.1 Congenital coagulation disorders are a result of a deficiency of the blood clotting system, in which bleeding is prolonged and excessive, and may occur spontaneous or posttraumatic.2 Haemophilia is X‐linked; women are carriers and men are affected. Other congenital coagulation disorders, such as VWD, have an autosomal inheritance pattern and affect both men and women. For women with coagulation disorders, heavy menstruation and postpartum bleeding are common.3 Since the ‘80s, the use of plasma concentrates of coagulation factors became common. This enabled to start prophylactic treatment in patients with severe haemophilia (<1% clotting factor VIII or IX present in the blood) in order to prevent bleeding and joint damage, ultimately allowing patients to maintain a near normal lifestyle with little risk for arthropathy.4 Still, children and (young) adults growing up with coagulation disorders may experience impairments in daily life, such as restrictions in physical activity, travelling and school participation.5, 6, 7 Concerns exist about the long‐term impact of the disease and its treatment on adaptation and functioning in adult life. Most studies focus on physical complications (eg, prevention of joint damage and inhibitor development),8, 9 but important measures of successful treatment in childhood should also include the level of achieved independency, and professional and social participation in adulthood.10, 11, 12 Finding an education or job that fits with some of the physical restrictions that YA with CCD encounter is important to strengthen work‐related psychosocial skills.13, 14, 15 In two previous studies among the same patients as in the present study, we have found that, despite growing up in the current era and in a resource rich country with adequate treatment available, young adults (YA) with CCD in the Netherlands still experience obstacles and issues in daily life with regard to their treatment and condition.5, 6 For example, lower health‐related quality of life (HRQOL), lower self‐esteem and a lower rate of paid jobs were found in YA men with CCD compared to healthy peers,6 which has also been found in the US.16, 17 Research conducted in 2001 in the Netherlands also demonstrated that adult men with severe haemophilia participated less in full‐time work compared with the general population,18 a finding which is common in chronically ill populations.19, 20 Unemployment among patients with CCD is an issue of concern from a societal perspective. Impairment in professional functioning among people with chronic illness often seems to be related to pain, fatigue and physical limitations.21 However, a considerable discrepancy between the level of functioning experienced by patients and the underlying pathology of the disease is often found. In patients with the same severity of disease, physical, mental and social problems experienced can vary from patient to patient and has therefore led to hypotheses about the contribution of psychosocial factors to health outcomes.19, 22 So far, literature on the role of psychosocial factors in relation to professional functioning in patients, and especially young adults, with CCD is scarce.19, 23 One study has shown that feelings about social stigma can hinder patients with CCD in finding employment.14 Other literature has shown that many haemophilia patients select their job or training taking into account their limitations related to haemophilia (eg, jobs with not too much physical activity or without a risk of trauma) and that some patients believe that they have lost a job in the past because of their haemophilia.24, 25 Suboptimal HRQOL and low employment rates found in a previous study6 have led us to conceive the current study, in which we aim to gain more in‐depth insight into professional functioning (paid employment, impairment in working) of YA with CCD and to assess whether sociodemographics, disease characteristics, functional disabilities, physical HRQOL and illness cognitions are associated with professional functioning.

MATERIAL AND METHODS

Participants

Young adult men and women aged 18‐30 years with haemophilia A/B, VWD type 2 or 3 or other congenital coagulation disorders were eligible for participation if they were able to complete Dutch online questionnaires. Patients under treatment in one of the three participating haemophilia treatment centres (HTC's) in the Netherlands (Amsterdam UMC, Erasmus University Medical Center Rotterdam and Leiden University Medical Center) or YA who are a member of the Dutch Hemophilia Patient Society Young Adult committee (DHPSYA) were included (Table 1).
Table 1

Characteristics of young adults with coagulation disorders (CCD) by gender

Men with CCDWomen with CCD
NM (SD)NM (SD)
Sociodemographic characteristics
Age7724.14 (3.53)1724.59 (3.79)

M, mean; SD, standard deviation; HAL, Haemophilia Activities List, scoring 0‐100 with higher scores representing better functioning.

high = higher vocational education, university; middle = middle vocational education, higher secondary education, pre university education; low = primary education, lower vocational education, lower and middle general secondary education

Only assessed in men with haemophilia.

21 respondents had a missing value “not applicable” on one or more items.

Characteristics of young adults with coagulation disorders (CCD) by gender M, mean; SD, standard deviation; HAL, Haemophilia Activities List, scoring 0‐100 with higher scores representing better functioning. high = higher vocational education, university; middle = middle vocational education, higher secondary education, pre university education; low = primary education, lower vocational education, lower and middle general secondary education Only assessed in men with haemophilia. 21 respondents had a missing value “not applicable” on one or more items.

Procedure

Invitational letters, including login codes for online questionnaires, were sent out between May and October 2015 to the eligible patients of the HTC's and to members of the DHPSYA after approval by the Medical Ethics Committees of the Amsterdam UMC, and Leiden University Medical Center. To recruit additional respondents, the DHPSYA posted an online call for participation on their website and Facebook page. Informed consent was obtained from all participants prior to completing questionnaires.

Measures

Sociodemographic and disease characteristics

Sociodemographic information of the participants was collected with questions from the Course of Life Questionnaire (CoLQ),26 regarding age, gender, country of birth, education and marital status. Education was divided into three categories according to the classification of Statistics Netherlands (http://www.cbs.nl); low (primary education, lower vocational education, lower and middle general secondary education), middle (middle vocational education, higher secondary education, pre university education) and high (higher vocational education, university). Additionally, respondents were asked medical questions regarding the type of disease, severity (severe haemophilia: <1% clotting factor VIII or IX present in blood; non‐severe haemophilia: 1%‐40% clotting factor VIII or IX), treatment and number of bleeds that occurred over the past 6 months.

Professional functioning: Work Productivity and Activity Impairment questionnaire (WPAI)

The Work Productivity and Activity Impairment (WPAI) questionnaire is a validated self‐report questionnaire that assesses the impact of disease on work and other daily activities.27 For the present study about professional functioning, the Dutch WPAI items about work were used: paid employment (yes/no), if yes: average working hours per week; number of missed hours at work the last 7 days due to the disease; degree of disease influence on work productivity the last 7 days (0‐10, where 0 indicates no influence and 10 indicates that the disease completely prevented to do the job). Three outcomes are derived from the WPAI work‐related items as follows: (a) Absenteeism (% worktime missed: missed hours at work in the last 7 days due to the disease divided by the average working hours per week multiplied by 100); (b) Presenteeism [% impairment while working due to the disease, that is, the degree (0‐10) the disease influenced work productivity divided by 10 and multiplied by 100]; (c) Overall work impairment, which is a combination of absenteeism and presenteeism: absenteeism + ([100‐absenteeism] × presenteeism). For all three outcomes, a higher percentage indicates more work impairment. For use in the present analyses, the three outcomes were dichotomized into whether or not (0% vs >0%) Absenteeism, Presenteeism or Overall work impairment was present. For Presenteeism and Overall work impairment, there were no scores between 0% and 10%, so for the concerning dichotomous variables, we used “<10% vs ≥10%”.

Haemophilia Activities List (HAL)

The Haemophilia Activities List (HAL) was used in YA men with haemophilia only (N = 69), to assess self‐perceived limitations in activities (functional disabilities).28 The HAL is a disease‐specific questionnaire with 42 items in seven domains of disabilities, which are based on the International Classification of Functioning, Disability and Health (ICF)29: lying down/sitting/kneeling/standing (8 items), functions of the legs (9 items), functions of the arms (4 items), use of transportation (3 items), self‐care (5 items), household tasks (6 items), leisure activities, and sports and other activities (7 items). Answers are given on a six‐point Likert scale, ranging from “impossible” (1), “always problems with” (2) to “never problems with” (6). The items in the domains of transportation, household tasks and leisure activities have the additional answer option “not applicable”. Consequently, these scores were recorded as missing value. Three component scores “upper extremity activities” (range 9‐54), “basic lower extremity activities” (range 6‐36) and “complex lower extremity activities” (range 9‐54) are calculated, as well as a sum score of all items (range 42‐252). Answers are rescaled and normalized to a 0‐100 scale, with higher scores representing better functional status. The validity and reliability of the HAL are good in adult patients with haemophilia.28, 30 Cronbach's alpha in the present study ranged from 0.93 (function of arms) to 0.98 (self‐care) for the domain scores and from 0.95 (complex lower extremity activities) to 0.99 (sum score) for the component scores.

Pediatric Quality of Life Inventory (PedsQL 4.0) generic core scales young adult version

The physical health scale (8 items) of the Dutch version of the Pediatric Quality of Life Inventory generic core scales young adult version (PedsQL_YA; 18‐30 years) was used.31, 32 The PedsQL_YA is a generic HRQOL instrument and consists of 23 items in total. Each item states a problem, for example, “it is hard for me to run”. On a 5‐point Likert scale, ranging from “never” (0) to “almost always” (4), the patient indicates whether he/she had problems with that item. Each answer is reversed scored and rescaled to a 0‐100 scale so that higher scores indicate better reported physical functioning. The validity and reliability of the PedsQL_YA scales are good.32 Cronbach's alpha of the physical health scale in our sample was 0.86.

Illness Cognitions Questionnaire (ICQ)

To assess illness cognitions, the Dutch Illness Cognition Questionnaire (ICQ) was used. The ICQ is developed for adults which measures illness beliefs across various chronic conditions.33 It contains 18 items in three scales, related to cognitive ways patients ascribe meaning to chronic illness: helplessness (6 items), acceptance (6 items) and perceived disease benefits (6 items). Answers are given on a four‐point Likert scale ranging from “not at all” (1) to “completely” (4). Scale scores are calculated by summing up the item scores. Higher scores indicate stronger presence of the illness cognition. The validity and reliability of the ICQ scales are good .33, 34 Cronbach's alpha in the present study ranged from 0.79 (acceptation) to 0.86 (helplessness and disease benefits).

Data analysis

Descriptive analyses were performed to characterize the YA with CCD and to gain insight in their professional functioning. Next, logistic regression analyses were performed to identify potential determinants of professional functioning (WPAI outcomes: paid employment status, Presenteeism and Overall work impairment): sociodemographics and disease characteristics (see Table 1), functional disabilities, physical HRQOL and illness cognitions. Due to low variance, Absenteeism (see Table 2) could not be used as an outcome in the logistic regression analyses. Logistic regression analyses were performed for all CCD and separately for men with haemophilia.
Table 2

Professional functioning of young adults with coagulation disorders (CCD) by gender

Men with CCDWomen with CCD
N%N%
Paid employment (yes)5875.31270.6
Absenteeism: >0% working hours missed due to CCD35.200.0
Presenteeism: ≥10% impairment while working due to CCD1424.1216.7
Overall work impairment: ≥10% due to CCD1424.1216.7
Professional functioning of young adults with coagulation disorders (CCD) by gender Because of the large number of variables in relation to the sample size, preselection was necessary. Sociodemographic (country of birth, education and marital status) and disease characteristics (type of coagulation disorder, type of treatment, severity of haemophilia and number of bleeds), physical HRQOL (PedsQL_YA), illness cognitions (helplessness, acceptance, disease benefits; ICQ) and, in haemophilia only, functional disabilities (HAL component scores: upper extremity activities, basic lower extremity activities, complex lower extremities and sum score) were included in the logistic regression models if significantly (P < 0.05) associated with the WPAI outcomes in univariate analyses (according to Pearson correlation or χ2 tests). All logistic regression analyses were controlled for age. Gender was not included in the models because it was strongly associated with characteristics of the disease. The results of the logistic regression analyses are expressed as Odds Ratios (OR) with 95% confidence intervals (CI).

RESULTS

Characteristics of YA with CCD

In total, 94 YA completed the online questionnaires (52% overall response rate): 34 YA (46% response rate) from the Amsterdam UMC, 37 YA (46% response rate) from the Erasmus University Medical Center Rotterdam, 10 YA (33% response rate) from the Leiden University Medical Center and 10 YA from the DHPSYA (83% response rate). An online call yielded another 3 YA. The mean age of the 77 men (81.9%) was 24.1 years (SD 3.5) and of the 17 women (18.1%) 24.6 years (SD 3.8). Table 1 presents the sociodemographic and disease characteristics of the study population and functional disabilities (HAL) of the subgroup of YA men with haemophilia.

Professional functioning

Table 2 presents professional functioning according to the WPAI outcomes per gender. Out of 94 participating YA, 70 (74.5%) YA were paid employed. These 70 YA worked on average 29.8 (SD 14.0) hours per week. In the age group 18‐25 years, 64% of YA were paid employed, while in the age group 26‐30 years, 92% were paid employed. Absenteeism of 3%‐25% of their average working hours was present in 4.3% (N = 3) of the YA with paid employment. Of the 70 YA with paid employment, 22.9% (N = 16) were ≥10% impaired while working due to CCD (Presenteeism), and 22.9% (N = 16) had ≥10% Overall work impairment due to CCD.

Determinants of professional functioning

Total cohort of YA with CCD

Older YA with CCD were more likely to have paid employment (OR 1.30 95% CI 1.1‐1.5; data not shown). The results of the other logistic regression analyses are shown in Table 3. Presenteeism and Overall impairment due to CCD while working was not associated with sociodemographic and disease characteristics, physical HRQOL and illness cognitions.
Table 3

Logistic regression model of work impairment (WPAI outcomes) for young adults with CCD (N = 70)

Impairment while working due to CCD ≥10%Overall work impairment due to CCD ≥10%
Odds Ratio (CI 95%) P‐valueOdds Ratio (CI 95%) P‐value
Bleeds (≥1 past 6 mo)1.76 (0.34‐9.01)0.501.76 (0.34‐9.01)0.50
Physical HRQOL0.94 (0.89‐1.01)0.070.94 (0.89‐1.01)0.07
Helplessness1.37 (0.92‐2.03)0.121.37 (0.92‐2.03)0.12
Acceptation0.91 (0.68‐1.22)0.540.91 (0.68‐1.22)0.54

HRQOL, health‐related quality of life, as measured with PedsQL_YA.

Logistic regression model of work impairment (WPAI outcomes) for young adults with CCD (N = 70) HRQOL, health‐related quality of life, as measured with PedsQL_YA.

YA men with haemophilia

In the group of YA men with haemophilia, older patients (OR 1.21 95% CI 1.1‐1.4) and patients with non‐severe haemophilia (OR 7.82 95% CI 2.8‐21.8; data not shown) were more likely to have paid employment. The results of the other logistic regression analyses are shown in Table 4. None of the variables included in the logistic regression models were significantly associated with Presenteeism or Overall impairment due to CCD while working were not associated with sociodemographic and disease characteristics, functional disabilities, physical HRQOL and illness cognitions.
Table 4

Logistic regression model of work impairment (WPAI outcomes) in young adult men with haemophilia (N = 52)

Impairment while working due to haemophilia ≥10%Overall work impairment due to haemophilia ≥10%
Odds Ratio (CI 95%) P‐valueOdds Ratio (CI 95%) P‐value
Physical HRQOL0.94 (0.86‐1.02)0.150.94 (0.86‐1.02)0.15
Helplessness1.07 (0.60‐1.90)0.821.07 (0.60‐1.90)0.82
Acceptation0.71 (0.48‐1.06)0.100.71 (0.48‐1.06)0.10
Disease benefits1.28 (0.95‐1.72)0.111.28 (0.95‐1.72)0.11
Complex lower extremity activitiesa 0.99 (0.93‐1.07)0.850.99 (0.93‐1.07)0.85

HRQOL, health‐related quality of life, as measured with PedsQL_YA.

HAL basic lower extremity activities and HAL sum score were excluded from the model due to high multicollinearity with HAL complex lower extremity activities (r > 0.80).

Note: Number of bleeds was excluded from the model due to too high predictability of the outcomes.

Logistic regression model of work impairment (WPAI outcomes) in young adult men with haemophilia (N = 52) HRQOL, health‐related quality of life, as measured with PedsQL_YA. HAL basic lower extremity activities and HAL sum score were excluded from the model due to high multicollinearity with HAL complex lower extremity activities (r > 0.80). Note: Number of bleeds was excluded from the model due to too high predictability of the outcomes.

DISCUSSION AND CONCLUSION

This study examined professional functioning in young adult (YA) patients with congenital coagulation disorders (CCD). The results showed that three‐quarters of YA with CCD were paid employed for on average 30 hours per week, which does not seem bad taking into account that the YA who were student cannot be expected to work full time (36‐40 hours per week). Non‐severe type of haemophilia was associated with a greater likelihood of being paid employed and the older the YA the more likely that the YA was paid employed. In the age group 26‐30 years, when most YA have completed their education, paid employment was 92%. Of those with a paid job, one‐quarter reported work impairment of ≥10%. Among those with a paid job, no sociodemographic, disease or other variables (functional disabilities, physical HRQOL and illness cognitions) were found to be associated with work impairment. Compared to adults with other chronic illnesses, YA with CCD seemed to have adjusted well to a job once they have found one. In our sample, rates of missed working time and rates of work impairment were low in comparison to WPAI outcomes in adults with other chronic illnesses.35, 36 However, this comparison is hampered by the fact that our sample consisted of YA who have grown up with a congenital disease while the other studies concerned patients who became ill in adulthood. As a result, the latter patients may not have been able to take their current illness into account when choosing their career. Another explanation for the favourable outcomes could be that YA with worse employment outcomes did not participate in our study. Nevertheless, the low absenteeism we found in the YA with CCD indicates that patients with CCD in the Netherlands have adjusted well to their chronic disease status and are able to find a job that fits with their impairments. This could be due to the fact that half of the sample consisted of YA with non‐severe CCD and that the patients with severe CCD used prophylaxis, which is common in the Netherlands. Prophylaxis limits joint damage which in turn could help prevent work disabilities. The fact that older patients did not score worse on the Haemophilia Activity List than younger patients (data not shown) is in line with this explanation because without prophylaxis, older YA with CCD would be more likely to suffer from joint damage than younger YA with CCD. That the patients are doing well, is probably also a spinoff of the enormous improvement in the care for haemophilia patients in the Netherlands in the last two decades. Treatment and care are concentrated in a small number of Haemophilia treatment centres, where multidisciplinary teams including social workers and/or paediatric psychologists are aware of psychosocial problems. However, the percentage of YA with CCD that reported work impairment due to their disease (22.3% and 32.9%) is not negligible. In daily practice, it is important to monitor whether the requirements of the job match the possibilities of the YA with CCD not only when YA are in search of a job but also once they have found a job. It is recommended to screen whether YA need additional support in finding or doing their job by asking them to complete Patient‐Reported Outcomes Measures (PROMs) before an outpatient visit, for example by using the KLIK portal.37 Healthcare providers could refer the YA's to social workers or a job agency specialized in helping adolescents and young adults with chronic illness. Such an agency is “Emma at Work”, a job mediation agency for adolescents with a somatic disease.38 Founded by the Emma Children‘s Hospital Amsterdam UMC, it is now also located in other hospitals in the Netherlands and is open for all young people with a chronic condition. Moreover, it is important that employers are encouraged to adjust the workload and tasks to fit the abilities of patients, especially for those on prophylactic treatment.5, 16, 17 Previous studies among patients with haemophilia showed that physical limitations and pain did interfere with daily activity and work39, 40 and that professional functioning was associated with pain, fatigue and other physical limitations,16, 17, 23 findings which we could not confirm in our study. Unfortunately, we did not assess pain and fatigue in our study, which would be interesting to include in the future, since it is known that pain is also negatively associated with physical and mental HRQOL.39 Apart from age and severity of the CCD, we found no associations between professional functioning and sociodemographics (eg, educational level and marital status), disease characteristics (eg, number of bleeds and type of treatment), functional disabilities, physical HRQOL and illness cognitions. We do not have information on the type of work that YA perform, which would have been interesting to relate to the degree of work impairment experienced. This study has a few limitations to take into account. First, though the response rates of the patients from the HTC's and the DHPSYA were satisfactory, we do not know whether the results are representative for YA with coagulation disorders in the Netherlands since sociodemographic and medical information of many non‐respondents was unknown. Second, we were not able to compare the WPAI outcome “paid employment” to a healthy norm group because this information was not available. However, from a previous study among the same patients as in the present study,6 it has already been known that the rate of paid employment was significantly lower in men with CCD than in male peers from the general population. Third, although the sample size was reasonably large, the power to detect determinants of the professional outcomes was still limited. In conclusion, three‐quarters of YA with CCD in the Netherlands were successful in finding paid employment. Though absenteeism was low among the YA with paid employment, employed YA with CCD need attention as more than one quarter of them experienced impairment in professional functioning.

DISCLOSURE

M. Coppens has received consultancy fees from CSL Behring, Sanofi and UniQure, research support from CSL Behring and Bayer, and is study investigator for his institution for trials sponsored by Bayer, UniQure and Sanofi. All funds were received by the institution. J. Eikenboom has received research support from CSL Behring and a fee for educational activities from Roche. M. J. H. A. Kruip received Research grants from Pfizer, Bayer, Daiici Sankyo and Boehringer Ingelheim and speaker's fee from Bayer. The other authors stated that they had no interests, which might be perceived as posing a conflict or bias.

AUTHOR CONTRIBUTIONS

PL carried out the literature study, organized data collection, led data analysis and drafted the manuscript. LH supervised data collection and data analysis, and critically revised the manuscript. HMS supervised data collection and data analysis, and critically revised the manuscript. MP conceived the study, supervised data collection and critically revised the manuscript. MG conceived the study, supervised data collection and critically revised the manuscript for intellectual content. MC, MK and JE critically revised the manuscript for intellectual content. All authors read and approved the final manuscript.
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2.  Health-related quality of life in chronic coagulation disorders.

Authors:  D Talaulikar; B Shadbolt; A McDonald; M Pidcock
Journal:  Haemophilia       Date:  2006-11       Impact factor: 4.287

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Authors:  Jane N T Sattoe; Sander R Hilberink; Anneloes van Staa; Roland Bal
Journal:  J Adolesc Health       Date:  2013-11-23       Impact factor: 5.012

4.  Effectiveness of a web-based application to monitor health-related quality of life.

Authors:  Lotte Haverman; Marion A J van Rossum; Mira van Veenendaal; J Merlijn van den Berg; Koert M Dolman; Joost Swart; Taco W Kuijpers; Martha A Grootenhuis
Journal:  Pediatrics       Date:  2013-01-06       Impact factor: 7.124

5.  Achieving self-management of prophylactic treatment in adolescents: The case of haemophilia.

Authors:  Liesbeth Schrijvers; Marlène Beijlevelt-Van der Zande; Marjolein Peters; Janske Lock; Marjon Cnossen; Marieke Schuurmans; Kathelijn Fischer
Journal:  Patient Educ Couns       Date:  2016-01-25

Review 6.  Current challenges in the management of hemophilia.

Authors:  Kenneth A Bauer
Journal:  Am J Manag Care       Date:  2015-03       Impact factor: 2.229

Review 7.  Economic costs of hemophilia and the impact of prophylactic treatment on patient management.

Authors:  Sheh-Li Chen
Journal:  Am J Manag Care       Date:  2016-04       Impact factor: 2.229

8.  Living with haemophilia and von Willebrand's: a descriptive qualitative study.

Authors:  Julie H Barlow; Jacqueline Stapley; David R Ellard
Journal:  Patient Educ Couns       Date:  2007-09-27

9.  Prophylaxis versus episodic treatment to prevent joint disease in boys with severe hemophilia.

Authors:  Marilyn J Manco-Johnson; Thomas C Abshire; Amy D Shapiro; Brenda Riske; Michele R Hacker; Ray Kilcoyne; J David Ingram; Michael L Manco-Johnson; Sharon Funk; Linda Jacobson; Leonard A Valentino; W Keith Hoots; George R Buchanan; Donna DiMichele; Michael Recht; Deborah Brown; Cindy Leissinger; Shirley Bleak; Alan Cohen; Prasad Mathew; Alison Matsunaga; Desiree Medeiros; Diane Nugent; Gregory A Thomas; Alexis A Thompson; Kevin McRedmond; J Michael Soucie; Harlan Austin; Bruce L Evatt
Journal:  N Engl J Med       Date:  2007-08-09       Impact factor: 91.245

10.  Predictors of quality of life among adolescents and young adults with a bleeding disorder.

Authors:  John M McLaughlin; James E Munn; Terry L Anderson; Angela Lambing; Bartholomew Tortella; Michelle L Witkop
Journal:  Health Qual Life Outcomes       Date:  2017-04-07       Impact factor: 3.186

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