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. Author manuscript; available in PMC: 2017 Jul 1.
Published in final edited form as: Haemophilia. 2016 Jul;22(Suppl 3):31–40. doi: 10.1111/hae.13000

Care models in the management of haemophilia: a systematic review

C H T Yeung *, N Santesso *, M Pai †,, C Kessler §, N S Key , M Makris **, T Navarro-Ruan *, J M Soucie ††, H J Schünemann *,, A Iorio *,
PMCID: PMC5283751  NIHMSID: NIHMS836616  PMID: 27348399

Abstract

Background

Haemophilia care is commonly provided via multidisciplinary specialized management. To date, there has been no systematic assessment of the impact of haemophilia care delivery models on patient-important outcomes.

Objective

To conduct a systematic review of published studies assessing the effects of the integrated care model for persons with haemophilia (PWH).

Search methods

We searched MEDLINE, EMBASE and CINAHL up to April 22, 2015, contacted experts in the field, and reviewed reference lists.

Selection criteria

Randomized and non-randomized studies of PWH or carriers, focusing mainly on the assessment of care models on delivery.

Data collection and analysis

Two investigators independently screened title, abstract, and full text of retrieved articles for inclusion. Risk of bias and overall quality of evidence was assessed using Cochrane’s ACROBAT-NRSI tool and GRADE respectively. Relative risks, mean differences, proportions, and means and their variability were calculated as appropriate.

Results

27 non-randomized studies were included: eight comparative and 19 non-comparative studies. We found low- to very low-quality evidence that in comparison to other models of care, integrated care may reduce mortality, hospitalizations and emergency room visits, may lead to fewer missed days of school and work, and may increase knowledge seeking.

Conclusion

Our comprehensive review found low- to very low-quality evidence from a limited number of non-randomized studies assessing the impact of haemophilia care models on some patient-important outcomes. While the available evidence suggests that adoption of the integrated care model may provide benefit to PWH, further high-quality research in the field is needed.

Keywords: care model, delivery of health care, haemophilia, health care team, integrated care, review

Introduction

Haemophilia care is complex, often requiring health management beyond the prevention and treatment of bleeding. Ad hoc trained haematologists and nurses have the knowledge and experience to address a wide range of haemophilia-specific needs [1,2]. Musculoskeletal experts, such as physical therapists, can help manage recovery from bleeding into joints and prevent chronic joint damage. Psychosocial support can be delivered by social workers and psychologists, as persons with haemophilia (PWH) often experience social stigma, vocational challenges and decreased quality of life [3]. Infectious disease specialists and gastroenterologists have been required to manage viral infections, such as HIV and hepatitis C.

As a result, care for PWH is often multidisciplinary and specialized. This model of care can be defined as ‘integrated care’, and is the most largely represented of the four principle care models for PWH available for adoption in the Western world. The integrated care model is usually delivered by Comprehensive Care Centers (‘comprehensive care’ is used as an alternative definition for integrated care), which provide all components of care (including supervision of home-based treatment) via coordinated and geographically co-located multidisciplinary teams. Comprehensive Care Centers coordinate care, secure and administer funding, provide technical assistance, organize professional education and training, and engage in data collection and analysis.

There are three alternative models of care. In a specialist-based care model, a haematologist, who may or may not have specialized training in haemophilia, provides care in a non-specialized centre, such as a hospital or medical office. Care delivered by a non-specialist in a non-specialist setting takes the form of a family physician delivering care in their practice, or an emergency room physician delivering care in an emergency room setting. The ‘no care’ model, with a complete absence of dedicated care, does not appear to be operating in the Western world, but exists in other areas of the world where PWH do not have access to care due to profound resource constraints [4,5].

While the integrated care model has been strongly supported by physician and patient organizations since its introduction in the United Kingdom in the late 1940s [69] and increased uptake in the 1960s and 1970s, and is currently widely accepted as the ‘de facto’ standard of care, there have been no attempts to systematically assess the evidence comparing the different care models for PWH. The aim of this paper is to report the results of a systematic review of the literature to assess the impact of haemophilia care models on patient-important outcomes.

Materials and methods

This systematic review was performed according to methods in the Cochrane Collaboration Handbook [10] and reported according to the PRISMA statement [11], and was used to provide the evidence base for a guideline addressing the choice of care models for the management of haemophilia [12].

Inclusion and exclusion criteria

Inclusion and exclusion criteria were defined a priori. Included articles had to report on PWH or carriers, and had to focus on haemophilia care models, defined as: integrated care; care delivered by a specialist in a non-specialist setting; care delivered by a non-specialist in a non-specialized setting; and no care. Included articles had to report on a health care model (or models) of interest, or report on a health care model of interest and an add-on care delivery option (such as home care). Since it was anticipated that there would be few studies comparing different models of care, randomized and non-randomized studies were included. Non-randomized studies could compare models or describe a single model of care.

Outcomes

Articles had to report on at least one of the following outcomes: mortality, missed days of school or work, emergency room visits, length of in-patient stay, quality of life, joint damage or disease (and other measures of functional status), educational attainment, patient adherence, and patient knowledge. These outcomes were identified through a survey given to a panel of clinicians, programme managers, researchers, patients with haemophilia and caregivers as critical or important to patients [12].

Search strategies

We searched OVID MEDLINE, OVID MEDLINE In-Process and Other Non-Indexed Citations, OVID EMBASE, and EBSCO Cumulative Index to Nursing & Allied Health Literature (CINAHL) databases up to April 22, 2015. We also contacted clinical experts in the field and used snowballing through references to identify studies. The search strategies consisted of MeSH headings, keywords and text words related to haemophilia, models of care and health services, and were not restricted by language or study design. Complete search strategies are provided in Appendix S1.

Study selection and data extraction

Two investigators (SM and BY) independently screened title, abstract and full text of relevant articles for inclusion. All disagreements were adjudicated by a third investigator (TN or CHTY). Authors of abstracts were contacted by email if necessary, to retrieve full text articles. Electronic data extraction forms were developed and pilot tested. Data extraction was independently performed by two investigators (SM and BY), and all discrepancies were adjudicated by a third investigator (TN or CHTY).

Assessment of study quality

Two investigators (CHTY and NS) independently assessed the risk of bias for each study using the ACRO-BAT-NRSI tool [13]. Using the GRADE (Grading of Recommendations, Assessment, Development and Evaluation) approach, two investigators (MP and AI) evaluated the quality/certainty of the evidence for each outcome, and a third investigator resolved any discrepancies (NS or CHTY) [14]. The quality of the evidence was assessed as high, moderate, low or very low. The effect estimates and quality of evidence were summarized in a GRADE evidence profile [15,16].

Statistical analysis

Analysis was conducted using RevMan 5.3 (RevMan, Computer Program, Copenhagen: The Nordic Cochrane Center, The Cochrane Collaboration, 2012) [17]. Results are expressed as risk ratios (RR) or mean differences (MD) with corresponding 95% confidence intervals (95% CI), or are presented narratively. For studies that described a single model of care, either the risk of an event (or proportion) was calculated, or the mean (or median) and standard deviation of the outcome point estimate were obtained.

It was determined a priori that a meta-analysis would be performed when estimates were clinically and statistically sufficiently homogenous. The intent was to conduct subgroup analyses by disease severity (severe: factor levels <1%; and non-severe: factor levels ≥1%), carriers of haemophilia, comorbidities (HIV, hepatitis), differing access to care (i.e. urban vs. rural) and age (paediatric: ≤18 years of age; older population: ≥65 years of age).

Results

The literature search identified 6789 non-duplicate records. After title and abstract screening, 197 articles were assessed for eligibility with full-text review, and subsequently, 172 articles were excluded. Seven additional articles eligible for inclusion were retrieved during the process. As a result, 27 unique non-randomized studies (which were reported in 32 published articles) were included. A PRISMA diagram of the selection flow is provided in Fig. 1. Eight studies were comparative and 19 studies were single-arm non-comparative studies.

Fig. 1.

Fig. 1

PRISMA flow diagram for care models in the management of haemophilia.

Characteristics of the included comparative and non-comparative studies are described in Table 1 and Appendix S2 respectively. The risk of bias of the comparative studies assessed using the ACROBAT-NRSI tool is presented in Table 2. We present a summary of the results from comparative studies in Table 3, and present the data from the non-comparative studies in Appendix S3. We reported the results with a study estimate or narrative, and did not perform a formal meta-analysis due to heterogeneity in the study designs and outcome definitions.

Table 1.

Description of comparative non-randomized studies.

Study Design n Country, sites Population Intervention Control Outcome(s) of interest
Arnold 2014
[48]
Cross-sectional
Surveyed individuals
identify their existing
knowledge levels and
gaps
104 Canada, three HTCs (from
Eastern, Central and
Western parts of Canada)
All patients were ≥18 years
old
49% mild
13% moderate
29% severe (similar to
Canadian distribution)
HTC attendance within
the past 12 months
No HTC attendance
within the past
12 months
Patient knowledge:
Knowledge seeking over
the past 12 months
Lazerson
1972 [26]
Before-after
Patients compared prior
to and after development
of a comprehensive care
centre
20 before
20 after
United States, NR
(presumably, the
Children’s Hospital at
Stanford)
10 patients were 5–9 years
old; 10 patients were 10-
17 years old
All severe
No inhibitors
The year 1970–1971 is the
period during which all
children were well
established in the
comprehensive care
program
The year 1968 to 1969
was prior to the
establishment of a
comprehensive care
program
Missed days of school or
work: Number of days
lost from school or work
Monahan
2011 [27]
Cross-sectional
Universal Data Collection
(UDC) data
6420 United States, −130 HTCs All patients were ≤18 years
old
50.2% severe
24.3% moderate
25.4% mild
14% reported having
inhibitors
Patients who were frequent
users (one or more visits
per year)
Patients who were
infrequent users (less than
one visit per year,
excluding the first visit)
or only had a
1st visit to the HTC
Missed days of school or
work: >11 days lost from
school or work per year
Joint damage or disease
(and other measures of
functional status):
Decreased activity (work,
school, recreational, and
self-care) per year
Smith
1982 [39]
Before-after
Patients compared prior
to and after development
of a Comprehensive
Hemophilia Center
23 before
43 after
Hemophilia Center of
Rhode Island, Rhode
Island Hospital, Rhode
Island, US
49% ≤16 years old
51% >16 years old
70% severe 30%
moderately severe
Three years following the
initiation of the
Comprehensive
Hemophilia Centre
program
The year preceding the
Comprehensive
Hemophilia Centre
program
Emergency room visits:
Number of visits to the
emergency room and
walk-in clinic
Smith
1984 [27]
Before-after
Patients compared prior
to and after development
of a Comprehensive
Hemophilia Center
2112 before
4742 after
United States, 11 federally
funded Comprehensive
Hemophilia Centers
67% severe 33% mild or
moderate
The fifth year following
the initiation of the
Comprehensive
Hemophilia Centre
program
The year preceding the
Comprehensive
Hemophilia Centre
program
Missed days of school or
work: Number of days
lost from school or work
Length of in-patient stay:
Number of days spent as
in-patient
Soucie
2000 [18]
Prospective cohort
Hemophilia Surveillance
System (HSS) data
2950 United States, HTCs in
Colorado, Georgia,
Louisiana, Massachusetts,
New York, and
Oklahoma
46% 0–19 years old
49% 20–59 years old
5% 60–70+ years old
42% severe
24% moderate
31% mild
5% reported having
inhibitors
2% reporting having liver
disease
25% reported having a
positive HIV serostatus;
7% AIDS
Patients receiving care in
HTCs
Patients received care
primarily from private
physicians or
haematologists, hospital-
and nonhospital-based
clinics, only from
hospitals or emergency
rooms, or care from a
variety of other sources
Mortality or survival:
Mortality adjusted
Soucie
2001 [38]
Prospective cohort
Hemophilia Surveillance
System (HSS) data
2546 United States, HTCs in
Colorado, Georgia,
Louisiana, Massachusetts,
New York, and
Oklahoma
0–24 years old 41%
25–44 years old 45.4%
≥45 years old 13.7%
47% severe
23% moderate
28% mild
5.3% reported having
inhibitors
Patients receiving care in
HTCs
Patients received care
primarily from private
physicians or
haematologists, hospital-
and nonhospital-based
clinics, only from
hospitals or emergency
rooms, or care from a
variety of other sources
Emergency room visits:
Number of people
with at least one
hospitalization over
four years adjusted
Soucie
2004 [46]
Cross-sectional
Universal Data Collection
(UDC) data
4343 United States, −130 HTCs All patients were ≤19 years
old
21% mild
24% moderate
55% severe
10.8% reported having
inhibitors
Patients who were frequent
users (one or more visits
per year)
Infrequent users (less than
one visit per year)
Joint damage or disease
(and other measures of
functional status): Overall
joint ROM

HTC, Hemophilia Treatment Center; ROM, range-of-motion.

Table 2.

Risk of bias summary by non-randomized comparative study assessed by the ACROBAT-NRSI tool.

Study Bias due to
confounding
Bias in selection
of participants
into the study
Bias in
measurement
of interventions
Bias due to
departures
intended
interventions
Bias due
to missing
data
Bias in
measurement
of outcomes
Bias in selection
of reported results
Arnold 2014 [48] Moderate risk Low risk Low risk Low risk Low risk Low risk Low risk
Lazerson 1972 [26] Serious risk Low risk Low risk Low risk Serious risk Low risk Low risk
Monahan 2011 [28] Moderate risk Moderate risk Low risk Low risk Low risk Low risk Low risk
Smith 1982 [39] Serious risk Moderate risk Low risk Low risk Unclear risk Unclear risk Low risk
Smith 1984 [27] Serious risk Low risk Low risk Low risk Unclear risk Unclear risk Low risk
Soucie 2000 [18] Low risk Low risk Low risk Low risk Low risk Low risk Low risk
Soucie 2001 [38] Low risk Low risk Low risk Low risk Low risk Low risk Low risk
Soucie 2004 [46] Moderate risk Low risk Low risk Low risk Low risk Low risk Low risk

Table 3.

GRADE evidence profile for summary of findings from non-randomized comparative studies.

Quality assessment
No of patients
Effect
No of studies (participants) Study design Risk of
bias
Inconsistency Indirectness Imprecision Other
considerations
Integrated
care
model
Non-integrated
care model
Relative
(95% CI)
Absolute
(95% CI)
Quality
Mortality
1 (2950) Non-randomized
comparative study
Not
Serious*
Not serious Not serious Not serious None 149/1979
(7.5%)
86/971 (8.9%) RR0.6
(0.5–0.8)
35 fewer per 1000
(from 18 fewer to
44 fewer)
graphic file with name nihms836616t1.jpg
Missed days of school or work
3 (3032 without and
10 282 with integrated
care)
Non-randomized
comparative study
Serious Not serious Not serious Serious None 4742 2112 MD 10.2 lower
(not reported)
graphic file with name nihms836616t2.jpg
Emergency room visits
2 (662 without and 1950
with integrated care)
Non-randomized
comparative study
Not
serious*
Not serious Not serious Not serious None 557/1907
(29.2%)
225/639 (35.2%) RR0.6
(0.5–0.7)
141 fewer per
1000
(from 106 fewer
to 176 fewer)
graphic file with name nihms836616t3.jpg
Length of in-patient stay
1 (4742 without and with
integrated care)
Non-randomized
comparative study
Serious Not serious Not serious Serious None 4742 2112 MD 7.6 fewer
(not reported)
graphic file with name nihms836616t4.jpg
Quality of life - not measured
Joint damage or disease (and other measures of functional status)
2 (10 763) Non-randomized
comparative study
Not
serious§
Not serious Serious§ Not serious None Severe disease: frequent HTC users had less ROM limitation
than
infrequent users (unadjusted analysis). Moderate disease:
infrequent HTC users has less ROM limitation than frequent
users (adjusted analysis). Mild disease: infrequent HTC users
has
less ROM limitation than frequent users (adjusted analysis).
graphic file with name nihms836616t5.jpg
Educational attainment – not measured
Patient knowledge
1 (104) Non-randomized
comparative study
Not
serious
Not serious Serious Serious None Significantly fewer people who did not attend HTC in past
12 months sought information
graphic file with name nihms836616t6.jpg
Patient adherence - not measured

CI, confidence interval; RR, risk ratio; MD, mean difference; HTC, Hemophilia Treatment Center; ROM, range-of-motion.

*

Potential for bias related to definition of integrated care as an HTC user with at least one visit to the centre but not downgraded.

Overall, the results were not adjusted for confounding factors, and the 95% confidence intervals were not calculated. There is also some indirectness as the integrated care model in 1970s/1980s has changed.

Not downgraded, although the number of hospitalizations was used as a surrogate for number of emergency room visits.

§

Overall, downgraded once for unadjusted analysis depending on severity of disease and differences in definition of integrated care and non-integrated care by frequency of HTC use.

Overall, the results were not adjusted for confounding, integrated care was defined as attendance at an HTC in last 12 months, and there were few events.

Mortality

One comparative non-randomized study by Soucie et al. [18] with 2950 participants, reported results on adjusted mortality over a three-year period. The risk of death was reduced in PWH receiving care at a Haemophilia Treatment Center (HTC) compared to not receiving care at an HTC (RR 0.60; 95% CI, 0.50–0.80), with an absolute overall death rate of 40.4 deaths/1000 person-years, reflective of the burden of HIV mortality [18]. Six unique non-comparative studies (which were reported in seven published articles) reported mortality as an event rate [1925]. The number of deaths in the study population over 1–8 years, ranged from 6 to 100 deaths per 1000 persons (Appendix S3). Overall, the quality of evidence for a reduction in mortality with integrated care was low based on data from the non-randomized comparative study.

Missed days of school or work

Three studies measured days lost from work or school. Two before–after studies measured the mean number of days missed prior to and after implementation of an HTC (Table 3). Lazerson [26] with 20 patients before and after the implementation of integrated care, found a reduction in days [MD −50.20 (95% CI, −61.68, −38.72) days per year]. Smith and Levine [27] with 2112 participants before and 4742 after the adoption of integrated care, found a reduction of 10.2 days per year. The third study [28] compared participants with >11 days lost from work who had frequent HTC use to infrequent or first time use. We reanalyzed the data from 6420 participants and found a risk ratio of 1.01 (95% CI, 0.75–1.36) (Table 3). Seven unique non-comparative studies (which were reported in twelve published articles) reported a range of results with some reporting low rates in absenteeism, but others reporting greater than 15 missed days per year [2224,2937] (Appendix S3). Overall, there was very low-quality evidence for a reduction in missed days of work or school per year of approximately 10 days. This was primarily due to lack of adjustment for confounding factors in the comparative studies from Smith and Levine [27] and our reanalysis of Monahan et al. [28], and to the potential for little to no difference in days missed (Table 3).

Emergency room visits

Two comparative non-randomized studies measured the number of emergency room visits or hospitalizations. Soucie et al. [38] with 2546 participants, described the number of people with at least one hospitalization over 4 years. They reported that PWH who had received care at an HTC any time during the study period were hospitalized less than those who did not receive care at an HTC [RR 0.60 (95% CI, 0.50–0.70)] (Table 3). In agreement with Soucie et al. [38], a small study by Smith, Keyes and Forman [39] of 43 participants before and 23 participants after the implementation of integrated care, reported a mean difference of 23.3 emergency room and walk-in clinic visits favouring integrated care (Table 2). Three non-comparative studies reported the mean number of emergency room visits [32,33,40] and ranged from 0.9 to 500 per 1000 persons per year (Appendix S3). Overall, the quality of evidence from the non-randomized comparative studies was low, although we did not downgrade for indirectness based on the use of hospitalizations to represent emergency room visits (Table 3).

Length of in-patient stay

One comparative non-randomized study by Smith and Levine [27] of 2112 participants before and 4742 participation after the adoption of integrated care, reported number of days spent in hospital. The mean difference in length of stay after implementation of integrated care was −7.6 days spent in the hospital per year (95% CI not reported) (Table 3). Thirteen non-comparative studies reported the mean number of days per patient per year [2024,34,35,4045]. The mean number of visits ranged from 0.4 to 14.5 per person per year (Appendix S3). Overall, the quality of evidence was very low from the non-randomized comparative study which had a high risk of bias due to non-adjustment for potential confounding and potential bias from patients lost to follow-up and non-participation. These factors were considered with indirectness (study was from the 1980s and current treatment modalities have changed) and the few hospitalizations that occurred (Table 3).

Joint damage or disease (and other measures of functional status)

Two comparative non-randomized studies reported on the progression of joint damage or decreased activity (another measure of functional status) per year. Soucie et al. [46] with 4343 participants, found that for PWH with severe disease, frequent HTC users (one or more visits per year) had less ROM limitation than infrequent users (less than one visit per year). In contrast, for PWH with moderate and mild disease, frequent HTC use was associated with higher ROM limitation, even when the association was tested in a model adjusted for age and BMI. The authors appropriately suggest that for mild and moderate patients, frequent bleeds may drive both frequency of HTC visits and limitation in ROM, creating a spurious (confounded) association (Table 3). From Monahan et al. [28], we reanalyzed the data from 6420 participants to compare participants with decreased activity (actions related to work, school, recreation and self-care) who had frequent HTC use to infrequent or first time use and calculated RR 1.20 (95% CI, 0.98–1.46). Two unique non-comparative studies (which were reported in three published articles) reported [25,29,30] a range from 234 to 333 joints damaged or diseased per 1000 persons (Appendix S3). Four non-comparative studies (which were reported in six published articles) reported [23,24,31,36,37,47] that the proportion of patients with joint damage or disease ranged from 44 to 429 per 1000 persons (Appendix S3). Overall, there was very low-quality evidence for a reduction in joint damage or disease from the two comparative studies due to lack of adjustment for confounding factors in combination with indirectness (using decreased activity per year to define joint damage or disease) (Table 3).

Patient knowledge

The comparative non-randomized study by Arnold et al. [48] of 104 participants found that HTC attendance within the past 12 months was significantly associated (P < 0.05) with increased knowledge seeking (e.g. recognizing and treating a bleed, knowledge of the genetics of haemophilia, physical activity selections) in an unadjusted analysis (Table 3). The overall quality of evidence was very low due to potential bias from unadjusted confounding factors, indirectness from defining integrated care as attendance at an HTC in the last 12 months, and few participants (Table 3).

Other outcomes

We did not find comparative studies reporting on quality of life, educational attainment and patient adherence. However, two non-comparative studies reported that 83–494 per 1000 persons adhered to their treatment regimens [31,49] (Appendix S3).

Discussion

We found low- to very low-quality evidence that integrated care reduces mortality, emergency room and walk-in clinic visits, hospitalizations (and length of stay), missed days of school and work, and increases knowledge seeking. The evidence for the effects of integrated care on functional status, measured by joint damage or joint disease was less clear, and the analysis is likely confounded by disease severity. This means that the true effects of integrated care may be substantially different from what we found (i.e. overestimated or under-estimated). We also did not find evidence to compare the effects of integrated care to other models for quality of life, educational attainment and patient adherence.

This systematic review has two clear strengths: its rigorous methodology and its comprehensive scope. Our systematic search of electronic databases was supplemented with snowballing and broad expert consultation (useful strategies when addressing a rare disease). We did not restrict by study design and therefore believe that we have captured the current available evidence for care models in PWH. We used best-in-class tools to assess risk of bias and evaluate the quality of the body of evidence to interpret and present the current best evidence. Despite the comprehensive search, we found few comparative studies yielding a limited body of evidence, but allowing us to suggest several considerations for future research.

Limitations of the current body of evidence clearly indicate targets for improvement. The conduct of randomized controlled trials in health care services and different care models is possible but very challenging, as evident from systematic reviews of randomized controlled trials of health care models in other chronic conditions, such as asthma and chronic obstructive pulmonary disease [5053]. The challenges would be even greater in haemophilia, where the rarity of disease, the long-term nature of the most patient-important outcomes (e.g. mortality or joint disease), and the widespread adoption of the integrated care model as standard of care would make a randomized trial almost impossible to perform. However, even where integrated care models are already in place, non-randomized studies comparing PWH attending integrated or non-integrated care are still feasible.

First, future attempts to more clearly define integrated and non-integrated care groups could be made. We found three studies by Soucie et al. [18,38,46] and another by Monahan et al. [28] that included large populations of PWH and compared the risk of many important patient outcomes between different uses of HTC and integrated care. Use and attendance at HTC were however, defined differently across these studies. Soucie et al. [18,38] defined their integrated and non-integrated care arms as patients attending HTC and non-HTC respectively. In contrast, the other studies did not define integrated and non-integrated care arms, and thus we reanalyzed their data to provide comparisons. Soucie et al. [46] and Monahan et al. [28] compared the frequency of HTC visits rather than HTC and non-HTC arms. To reanalyzed this data, we defined integrated care as equivalent to frequent HTC use (one or more visits per year) and non-integrated care as equivalent to infrequent HTC use (less than one visit per year) or first time visits. These were, admittedly, indirect measures of integrated and non-integrated care. Stemming from the literature we reviewed, integrated care would include supervision of the PWH by a coordinated and centralized multidisciplinary team. The integrated care model would include some or all of the following: provide home-based treatment, coordinated care and technical assistance; secure and administer funding; organize professional education and training; and engage in data collection and analysis. Therefore, in future studies, it will be important to provide details on which components and functions the specific integrated care model under study entails. The non-integrated care group would be further defined as the specialist-based care model that centres on a haematologist, who may or may not have specialized training in haemophilia, providing care in a non-specialized centre, such as a hospital or medical office; care delivered by a non-specialist in a non-specialist setting with a family physician delivering care in their practice, or an emergency room physician delivering care in a hospital; or the ‘no care’ model, in which there is a complete absence of care. Of course, integrated care models with different compositions or function could also be used as comparators.

Second, we found that the selected outcomes, and how they were defined and measured were very heterogeneous across studies, which essentially prevented us from pooling data across studies. Few to no studies reported on some of our set of outcomes, which were identified as important by key stakeholders [12]. Additionally, reported outcomes were measured differently from study to study. For example, missed days of school or work was measured continuously in days in some studies, but dichotomized as the number of people who had greater or less than a threshold value of missed days in others. In future research, we suggest that data should be collected and analyzed for standardized measures of missed days from work or school, length of in-patient stay, quality of life, joint damage and other functional outcomes, educational attainment, patient adherence, and patient knowledge. Reference to standardized international definitions can be of value [54].

Third, we had hypothesized that integrated care may have different effects in different populations with haemophilia, but we were unable to incorporate subgroup analyses into this review. There were a paucity of data from the studies to group by disease severity, age (in particular paediatric and geriatric groups), inhibitor status, ethnicity, comorbidities and access to care (i.e. insurance status). We found one large study showing that effects on joint damage or disease may be related to severity of haemophilia, but were unable to explore this further in other studies. In the future, studies addressing these principle subgroups would allow for analyses to determine the benefits or harms of integrated care models in specific populations.

Conclusions

To the best of our knowledge, this is the first systematic review to assess the impact of models of care delivery on important outcomes for patients with haemophilia. From its results, it is clear that care models in the management of haemophilia is a research topic that has been relatively neglected in the past, which is likely amplified by the rare disease setting. While the paucity of supportive evidence has not had a negative impact on the provision of integrated care, it should be noted that, at least in the US, approximately two-thirds of the haemophilia population receive care from an HTC [18], a figure that is certainly much lower in developing countries. Should further research reinforce integrated care as an important component of haemophilia management on patient-important outcomes, there may be important implications for future research to address and overcome barriers to HTC utilization, including the allocation of resources to areas that need this care. On the other hand, if further research changes the current favourable effects of integrated care, then it may be worth considering providing less costly and resource-intensive care models to specific patient populations, perhaps starting with those with low disease burden. Coordinated, well-funded, large-scale research initiatives to better understand the effect of care models in the management of haemophilia are worth being pursued and are urgently needed. On this note, this review provides a starting point and many suggestions for future research on integrated health care models in PWH.

Supplementary Material

Appendex 2
Appendix 1
Appendix 3

Acknowledgments

AI, HJS, MP and NS led the question development and refinement, and the development of the list and rating of importance of outcomes. CHTY and TN performed the systematic reviews. CHTY and NS performed the quality of evidence assessment. AI and MP contributed to and provided oversight to the systematic review process. CHTY wrote the paper and all the authors revised it critically. We thank Norma Brown, Chris Cotoi, Nicholas Hobson, Sunil Mammen, Naushin Sholapur, Rebecca Smith and Basil Yang for their contributions. This manuscript is one of six reporting about the NHF-McMaster Guideline on Care Models for Haemophilia Management. The NHF-McMaster Guideline on Care Models for Haemophilia Management have been endorsed by the American Society of Hematology (May 27, 2016), the International Society for Thrombosis and Haemostasis (May 28, 2016), the World Federation of Hemophilia (May 20, 2016).

Sources of support

This work was funded by the National Hemophilia Foundation.

The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention.

Footnotes

Disclosures

CHTY, NS, TN, JMS, and HJS have stated that they had no interests which might be perceived as posing a conflict or bias. MP has received honoraria for speaking engagements from Bayer, and consulting income from Bayer, BMS-Pfizer and Sanofi. CK has received consulting income from Alnylam, Bayer, Baxter, Grifols, NovoNordisk, Octapharma, Pfizer and Roche; research funding from Bayer, Grifols, Octapharma, and NovoNordisk; non-monetary research support from Bayer, Baxter, Grifols, NovoNordisk, Octapharma, and Pfizer; works at a US HTC; and directs a 340B Program. NSK’s institution has received research funding from Baxter; consulting income from Bayer and Novo Nordisk; and works at a US HTC. MM’s institution has received project-based funding from Bayer, Biogen, Baxter, Biotest, BPL, CSL Behring, LFB, Grifols, Kedrion, Octapharma, Pfizer, SOBI/Biogen and NovoNordisk; works at a non-US HTC. AI has received consulting income from Bayer and Biogen Idec; research support from NovoNordisk, Biogen Idec, and Pfizer; and works at a non-US HTC.

Supporting Information

Additional Supporting Information may be found in the online version of this article:

Appendix S1 Care models for haemophilia management search strategies in MEDLINE, EMBASE and CINAHL

Appendix S2 Description of single-arm non-comparative studies

Appendix S3 Outcome data from non-comparative studies

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Supplementary Materials

Appendex 2
Appendix 1
Appendix 3

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