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BMC Health Services Research

, 19:561 | Cite as

Health-resource use and quality of life in children with bronchiectasis: a multi-center pilot cohort study

  • Yolanda G. Lovie-ToonEmail author
  • Keith Grimwood
  • Catherine A. Byrnes
  • Vikas Goyal
  • Greta Busch
  • I. Brent Masters
  • Julie M. Marchant
  • Helen Buntain
  • Kerry-Ann F. O’Grady
  • Anne B. Chang
Open Access
Research article
Part of the following topical collections:
  1. Utilization, expenditure, economics and financing systems

Abstract

Background

Bronchiectasis in children is an important, but under-researched, chronic pulmonary disorder that has negative impacts on health-related quality of life. Despite this, it does not receive the same attention as other chronic pulmonary conditions in children such as cystic fibrosis. We measured health resource use and health-related quality of life over a 12-month period in children with bronchiectasis.

Methods

We undertook a prospective cohort study of 85 children aged < 18-years with high-resolution chest computed-tomography confirmed bronchiectasis undergoing management in three pediatric respiratory medical clinics in Darwin and Brisbane, Australia and Auckland, New Zealand. Children with cystic fibrosis or receiving cancer treatment were excluded. Data collected included the frequency of healthcare attendances (general practice, specialists, hospital and/or emergency departments, and other), medication use, work and school/childcare absences for parents/carers and children respectively, and both parent/carer and child reported quality of life and cough severity.

Results

Overall, 951 child-months of observation were completed for 85 children (median age 8.7-years, interquartile range 5.4–11.3). The mean (standard deviation) number of exacerbations was 3.3 (2.2) per child-year. Thirty of 264 (11.4%) exacerbation episodes required hospitalization. Healthcare attendance and antibiotic use rates were high (30 and 50 per 100 child-months of observation respectively). A carer took leave from work for 53/236 (22.5%) routine clinic visits. Absences from school/childcare due to bronchiectasis were 24.9 children per 100 child-months. Quality of life scores for both the parent/carer and child were highly-correlated with one another, remained stable over time and were negatively associated with cough severity.

Conclusions

Health resource use in this cohort of children is high, reflecting their severe disease burden. Studies are now needed to quantify the direct and societal costs of disease and to evaluate interventions that may reduce disease burden, particularly hospitalizations.

Keywords

Bronchiectasis Children Health-related quality of life Health resource use 

Abbreviations

ARI

Acute respiratory illness

CC-QoL

Chronic cough quality of life

ED

Emergency department

GP

General practitioner

HR-QoL

Health-related quality of life

IQR

Interquartile range

NHMRC

National Health & Medical Research Council

NZD

New Zealand Dollar

PC-QoL

Parent-cough-specific quality of life

QoL

Quality of life

SD

Standard deviation

Background

Bronchiectasis is a chronic pulmonary disorder characterized by persistent wet or productive cough, recurrent exacerbations and abnormal dilatation of bronchial airways [1]. The prevalence in children is highest in low-income countries and Indigenous populations [2, 3], and the adverse impact on the child and carer’s quality of life (QoL) is increasingly recognised [4].

Illnesses that consume extensive health resources attract the attention of policy makers and funders [5]. Consequently, the European Multicentre Bronchiectasis Audit and Research Collaboration has recently identified healthcare utilisation as a research priority [6]. However, in children with bronchiectasis few studies describe its impact upon individuals and healthcare services. The limited published data from Australia and New Zealand are derived from hospital cohort studies [7, 8] or clinical trials [9], which cannot be generalized to out-patient or community settings. While in New Zealand the estimated cost of pediatric bronchiectasis hospitalizations was NZD 0.95 million in the 2012/13 financial year [8], there are no similar published Australian data on healthcare service utilization or costs related to bronchiectasis.

Thus, with the aim of informing government healthcare services and future research, our primary objective was to estimate healthcare resource use over a 12-month period for children aged < 18-years with bronchiectasis receiving ongoing care in pediatric respiratory medical centers. Our secondary objective was to measure and correlate the health-related QoL of parents/carers and children with bronchiectasis.

Methods

Study design

Eligible children with bronchiectasis were recruited from respiratory clinics in two Australian (Brisbane and Darwin) and one New Zealand (Auckland) public hospitals between December 2012 and January 2016 and followed for 12-months. Inclusion criteria were aged < 18-years, chest computed-tomography confirmed bronchiectasis and cared for by a respiratory physician. Children with cystic fibrosis, enrolled in another study or receiving treatment for cancer were excluded. Research nurses approached potential participants during routine respiratory clinic appointments to obtain consent to participate.

Data collection

Demographic and bronchiectasis-related characteristics were collected upon enrolment. Research nurses conducted monthly reviews by phone, email or in person, where they recorded types of healthcare sought and school/childcare/work absences due to bronchiectasis, as well as any medications taken and exacerbations in the previous month. An exacerbation was defined as the child being unwell for ≥3-days with at least one of the following symptoms: an increased cough, change in cough quality, or increased sputum volume or purulence [10]. This definition has been used in randomized controlled trials in pediatric bronchiectasis [9, 11]. All exacerbations were reported by parent/carers who had been instructed by research staff on the symptoms constituting the study definition of an exacerbation. When an exacerbation was reported, additional information on resource use for the exacerbation was collected from the parent/carer. All resource utilisation collected through monthly reviews were parent-reported and not confirmed by other sources (e.g. medical records). Face-to-face-clinical visits were scheduled quarterly in accordance with routine clinical practice at the participating hospitals.

Parent/carer-reported and/or child-reported QoL and cough severity were assessed using validated tools at baseline and at months 3, 6, 9 and 12. These data were collected either face-to-face at clinic visits, or through telephone interviews. Parent/carers completed the Parent Cough-specific QoL questionnaire (PC-QoL) [12] and children aged > 7-years completed the Child Cough-specific QoL questionnaire (CC-QoL) [13]. In both tools, the QoL scores range from 1 (low QoL) to 7 (high QoL). Cough severity was measured using a cough score (0 = no cough to 5 = severe cough and cannot perform usual activities) [14].

Sample size

As this was a pilot study, a specific sample size was not calculated. The target enrolment was 100 children, to achieve a complete dataset on 80 children.

Data analysis

Baseline demographic and bronchiectasis-related characteristics were analyzed descriptively and expressed as counts and proportions, means (standard deviation [SD]) or medians (inter-quartile range [IQR]). Resource use was summarized as the number and proportion of children reporting each type of resource use in the past month, during exacerbations, and at routine clinic visits. Rates of resource use over the 12-months were calculated as the number of children using a particular resource per 100 child-months of observation. Exacerbation-related resource use was summarized for all exacerbations and by season of exacerbation onset. Season of exacerbation onset was categorized as spring (September–November), summer (December–February), autumn (March–May), and winter (June–August) using date of exacerbation onset. Parent/carer and child-reported QoL was summarized by each clinical visit. The Pearson or Spearman correlation coefficients were used to analyze relationships between parent- and child-reported QoL, parent- and child-reported cough severity, and parent- and child-reported QoL against parent- and child-reported cough severity.

Results

Participant baseline characteristics

The target of 100 enrolled children was reached. The data for 15 were considered too unreliable for meaningful analysis, due to reporting errors or situations where study procedures had not been followed. These participants were subsequently excluded.

The 85 children (42 female, 34 Indigenous Australian/New Zealand subjects) were recruited from the Queensland Children’s Hospital (n = 47), Auckland Starship Children’s Hospital (n = 26) and Royal Darwin Hospital (n = 12). The median age at enrolment was 8.7 (IQR 5.4–11.3) years and their median age at diagnosis of bronchiectasis was 3.6 (IQR 2.1–6.5) years. The median time since diagnosis was 2.9 (IQR 1.7–6.1) years with a mean of 2.6 (SD 1.1) lobes affected. The primary etiology was post-infectious (n = 51), followed by idiopathic (n = 14), aspiration (n = 7) and other (n = 13).

Monthly reviews

Overall, 951 monthly follow-up reviews were completed over the study period. Completions declined over the 12-months (Table 1). There was a greater proportion of children aged  < 5 years, with a low birthweight (< 2500 g) and who were born pre-term (gestational age < 37-weeks) among participants who completed all 12-monthly follow-ups, compared to participants who did not (Additional file 1: Table S3). On average, within the cohort 30 children/100-months of observation attended a general practitioner (GP), emergency department (ED) or pediatric specialist physician for their bronchiectasis, while the corresponding rate for other health reasons was 17 children/100-months. The number of attendances per child per month was not collected. More children presented to a specialist for their management than GPs, and EDs were used infrequently. In any given month, over half of the children were taking some form of medication. Medication use was not specified for bronchiectasis only, and the number of courses used per month was not collected.
Table 1

Monthly medical resource use, missed school and childcare, and missed parent/carer work (N = 85 children)

 

Month 1

Month 2

Month 3

Month 4

Month 5

Month 6

Month 7

Month 8

Month 9

Month 10

Month 11

Month 12

TOTAL

Per 100 child-mths

Number of follow-ups completed

82

84

82

83

80

80

79

78

78

78

75

72

951

N/A

Saw GP

 For bronchiectasis

7

7

8

11

10

14

11

13

9

12

8

8

118

12.4

 For other reason

4

8

6

7

5

3

6

8

6

2

3

7

65

6.8

Saw ED

 For bronchiectasis

5

3

2

1

1

0

2

1

2

0

1

0

17

1.8

 For other reason

3

0

0

1

0

2

1

0

0

0

1

1

9

1.0

Saw specialist

 For bronchiectasis

11

7

12

14

15

14

9

12

12

14

13

14

147

15.5

 For other reason

6

10

9

7

5

10

8

8

7

6

7

6

89

9.4

Had medications for any reason

51

47

48

53

51

52

48

52

46

48

43

40

579

60.9

Had antibiotics for any reason

37

34

35

40

37

39

36

42

36

37

35

29

437

46.0

Had inhaled corticosteroids for any reason

9

13

11

15

11

12

12)

11

12

9

6

8

129

13.6

Missed school/ childcare

21

17

15

20

22

26

18

22

19

21

20

16

237

24.9

Primary carer missed work

10

9

9

6

5

10

8

10

13

9

11

10

110

11.6a

Secondary carer missed work

4

4

5

2

2

4

1

2

3

3

2

1

33

3.5a

Median days missed school/ childcare (IQR)

3 (2–7)

3 (2–5)

4 (2–7)

3 (2–5.5)

3 (2–5)

4 (2.5–7)

3 (1–5)

2.5 (1–4)

4 (1–5)

3 (2–5.5)

3 (1–5)

3.5 (1.5–5.5)

948

12.0/child-year

Median days primary carer missed work (IQR)

2.5 (1.5–4)

2 (1–13)

3 (1.5–7.5)

2 (1.25–2)

2 (2–3)

3 (1.5–4)

1 (1–4)

1.5 (1–2.5)

2 (1–3)

3 (1–4)

2 (1–2.5)

2.5 (1.5–3)

278

3.5 /child-yeara

Median days secondary carer missed work (IQR)

1 (1–1)

3 (3–3)

1 (1–1)

1 (0–2)

1 (1–1)

1 (0–1)

1 (1–1)

1.5 (1–2)

4 (1–7)

2 (1–2)

1 (1–1)

2 (2–2)

37

0.5/child-yeara

aOnly applies to parents/guardians who were in paid employment

Abbreviations ED Emergency Department, GP general practitioner, IQR interquartile range, N/A not applicable

In any given month, approximately one-quarter of children within the cohort missed some period of school or childcare due to their bronchiectasis; fewer parents/carers missed work. The median number of days missed per child-month ranged from 2.5 (IQR 1.0–4.0) to 4.0 (IQR 2.0–7.0).

Exacerbations

Overall, 276 bronchiectasis exacerbations were reported (mean 3.3 [SD 2.2] per child-year). Twelve episodes had missing data for resource use associated with the exacerbation, leaving 264 for analysis (Table 2). Of these, 59 (22%) began in spring, 54 (20%) in summer, 62 (23%) in autumn, and 82 (31%) began in winter, while for 7 (3%) onset season was unknown. Overall when looking solely at exacerbations, GPs were the most frequently used healthcare resource. Thirty episodes resulted in hospitalization; 20/264 (7.6%) were treated exclusively in hospital (mean stay 6.7 [SD 4.8] days), while 10/264 (3.8%) had “hospital-in-the-home” following their inpatient stay (mean length of care 9.0 [SD 2.4] days). Parents reported they had antibiotics at home (or a prescription to fill) in approximately one-third of exacerbations. A bronchoscopy was performed on one occasion. The frequency of resource use varied by season, however variations were inconsistent between different types of healthcare resource use. Frequency of use was highest during spring for GPs and specialists, highest during summer for hospitalizations, and highest during winter for antibiotic consumption.
Table 2

Exacerbation-related resource use, total and by seasona

 

All, n = 264

Spring, n = 59

Summer, n = 54

Autumn, n = 62

Winter, n = 82

 

n (%)

n (%)

n (%)

n (%)

n (%)

General practitioner visit

123 (46.6)

30 (50.9)

26 (48.2)

28 (45.2)

35 (42.7)

Had a prescription at home to fill/had antibiotics at home

77 (29.2)

15 (25.4)

16 (29.6)

16 (25.8)

28 (34.2)

Specialist visit

69 (26.1)

20 (33.9)

12 (22.2)

15 (24.2)

22 (26.8)

Physiotherapy

41 (15.5)

7 (11.9)

9 (16.7)

10 (16.1)

13 (15.9)

Telephone advice from respiratory clinic nurse

32 (12.1)

4 (6.8)

3 (5.6)

12 (19.4)

12 (14.6)

Pathology

30 (11.4)

4 (6.8)

9 (16.7)

9 (14.5)

8 (9.8)

 Haematology (full blood count)

15

4

4

5

2

 Biochemistry

10

4

3

3

0

 Sputum culture

9

1

3

4

1

 Antibiotic blood levels

4

0

3

1

0

 Throat swab for virus nucleic acid amplification testing

3

0

1

2

0

 Nasopharyngeal aspirate for virus nucleic acid amplification testing

1

0

0

0

1

 Bronchoalveolar lavage

1

0

0

0

1

 Immunology (radioallergoabsorbent test)

1

0

0

1

0

 Missing

4

0

0

0

4

In-patient hospital admission

30 (11.4)

4 (6.8)

8 (14.8)

9 (14.5)

8 (9.8)

 Had ‘hospital in the home’ following inpatient admission

10

0

4

3

2

Emergency department presentation

25 (9.5)

3 (5.1)

5 (9.3)

6 (9.7)

9 (11.0)

Medical imaging

21 (8.0)

2 (3.4)

5 (9.3)

5 (8.1)

9 (11.0)

 Chest radiograph

14

1

4

3

6

 Chest computed tomography scan

2

0

1

0

1

 Other

7

1

1

2

3

 Missing

2

0

0

0

1

Respiratory function testing (spirometry)

16 (6.1)

4 (6.8)

3 (5.6)

4 (6.5)

5 (6.1)

Saw other services (during hospitalisation)

12 (4.6)

3 (5.1)

1 (1.9)

3 (4.8)

5 (6.1)

 Social worker

4

1

1

2

0

 Dietician

3

1

0

1

1

 Occupational therapist

1

0

0

0

1

 Cardiologist

1

0

0

0

1

 Surgical

1

1

0

0

0

 Consult liaison

1

1

0

0

0

 Dentist

1

0

0

0

1

 Missing

1

0

0

0

1

Over the counter treatments

8 (2.9)

1 (1.7)

2 (3.7)

4 (6.5)

1 (1.2)

Consultation with community health nurse / respiratory clinic nurse

7 (2.7)

1 (1.7)

1 (1.9)

3 (3.2)

3 (3.7)

Hospital school (during hospitalisation)

7 (2.7)

2 (3.4)

0 (0.0)

3 (4.8)

2 (2.4)

Other procedures

2 (0.8)

0 (0.0)

1 (1.9)

0 (0.0)

1 (1.2)

 Bronchoscopy

1

0

1

0

0

 Scheduled intravenous line maintenance

1

0

0

0

3

Telephone advice from other doctor/specialist

2 (0.8)

1 (1.7)

0 (0.0)

0 (0.0)

1 (1.2)

Alternative therapies

2 (0.8)

1 (1.7)

0 (0.0)

0 (0.0)

1 (1.2)

 Glutathione nebulised medication

1

1

0

0

0

 Acupuncture

1

0

0

0

1

 Chinese medicine

1

0

0

0

1

Telephone advice from general nurse

1 (0.4)

0 (0.0)

0 (0.0)

1 (1.6)

0 (0.0)

aThere were 7 exacerbations with unknown start dates, and therefore onset season could not be determined

Clinic visits

Most children (77/85) completed a clinic visit at baseline. Approximately half of the cohort completed clinic visits and the corresponding questionnaire at the four subsequent time-points (Table 3). Consultant respiratory physicians were the most common clinicians present at the review (192/236; 81.4%), while respiratory function testing (154/236; 65.3%) and physiotherapy (85/236; 36.0%) were the most frequently used additional clinical services. Parents/carers took leave from work to attend the appointment in 53/236 (22.5%) clinic visits.
Table 3

Resource use at quarterly clinic visits

 

Baseline

N = 77

Month 3

N = 40

Month 6

N = 48

Month 9

N = 36

Month 12

N = 35

Total

N = 236

Visit details

 Consultant Respiratory Physician

58

31

40

30

33

192 (81.4)

 Respiratory Fellow (advanced trainee)

17

7

5

3

1

33 (14.0)

 Nurse

2

2

3

3

1

11 (4.7)

Additional clinical services utilised

 Respiratory Function testing

51

25

26

26

26

154 (65.3)

 Physiotherapy

27

17

16

14

11

85 (36.0)

 Other allied health

7

5

4

3

0

19 (8.1)

 Respiratory nurse consultant

22

14

12

7

7

62 (26.3)

 Pharmacy - Prescription filled

23

14

12

11

7

67 (28.4)

 Pathology

11

7

8

4

5

35 (14.8)

 Medical Imaging

3

2

1

3

2

11 (4.7)

 Box study or exercise challenge

0

1

0

2

1

4 (1.7)

 Other consults

3

7

3

3

2

18 (7.6)

Healthcare carda

 Yes

60

30

37

25

29

181 (76.7)

 No

15

9

10

9

6

49 (20.8)

 Missing

2

1

1

2

0

6 (2.5)

Private health insurance

 Yes

23

13

15

15

9

75 (31.8)

 No

50

26

31

18

26

151 (64.0)

 Missing

4

1

2

3

0

10 (4.2)

Primary carer required to take leave to attend clinic appointment

 Sick/care’s leave taken

10

2

5

6

3

26 (11.0)

 No leave required

27

14

21

11

15

88 (37.3)

 Unpaid leave taken

7

0

2

4

2

15 (6.4)

 Not in paid employment

25

11

12

5

8

61 (25.9)

 Did not attend

3

0

1

3

2

9 (3.8)

 Other

4

4

3

3

3

17 (7.2)

 Missing

1

9

4

4

2

20 (8.5)

Secondary carer required to take leave to attend clinic appointment

 Sick/care’s leave taken

3

1

2

2

2

10 (4.2)

 No leave required

7

2

1

3

2

15 (6.4)

 Unpaid leave taken

1

1

0

0

0

2 (0.9)

 Not in paid employment

1

1

0

2

0

4 (1.7)

 Did not attend

41

15

16

13

16

101 (42.8)

 Other

1

1

0

1

0

3 (1.3)

 Missing/NA

23

19

29

15

15

101 (42.8)

Additional carer required to take leave to attend clinic appointment

 No leave required

1

0

0

0

0

1 (0.4)

 Not in paid employment

1

0

0

0

0

1 (0.4)

 Did not attend

5

2

3

0

0

10 (4.2)

 Missing/NA

70

38

45

36

35

224 (94.9)

aA healthcare card is a government-issued card, which provides the cardholder with access to additional subsidies for medicines and/or healthcare services within the public healthcare system. Healthcare cards are issued to individuals who meet certain social and/or economic criteria

Quality of life and cough severity

Similar to clinic visits, QoL and cough severity questionnaire completions were high at baseline, but decreased at subsequent time-points (Table 4). Whether the child was experiencing an exacerbation at the time the QoL and cough severity questionnaires were completed was not recorded. Median parent/carer and child QoL scores were consistent across all time-points (Table 4). Parent/carer scores ranged from 5.9 (IQR 4.3–6.8) to 6.5 (IQR 5.4–6.9) and child scores ranged from 6.1 (IQR 4.5–6.7) to 6.8 (IQR 5.0–7.0). Median parent/carer and child-reported cough severity scores ranged from 1.0 (IQR 0.0–2.0) to 2.0 (IQR 0.0–2.0) and from 1.0 (IQR 0.0–2.0) to 2.0 (IQR 0.5–2.5), respectively (Additional file 1: Table S1).
Table 4

Parent and child-reported cough quality-of-life (QoL) at time of clinic visits

 

Parent Cough-QoL (N = 85)

Child Cough-QoL

Number completed

Median (IQR)

Number of eligible children (aged > 7-years)

Number completed

Median (IQR)

Baseline

72

6.0 (4.7–6.9)

49

35

6.5 (4.9–7.0)

Month 3

41

6.5 (5.4–6.9)

51

20

6.1 (4.5–6.7)

Month 6

55

5.9 (4.3–6.8)

54

25

6.4 (4.3–7.0)

Month 9

46

5.9 (4.9–7.0)

57

19

6.6 (3.3–6.9)

Month 12

47

5.9 (4.7–7.0)

57

26

6.8 (5.0–7.0)

Abbreviations: IQR interquartile range

Whilst small numbers of participants completed both PC-QoL and CC-QoL questionnaires at each time-point (Additional file 1: Table S2), there were high and significant positive correlations between parent/carer and child QoL scores at each time-point (p-values < 0.002). There were also high positive correlations between parent-reported and child-reported cough severity scores. High negative correlations were observed between child-reported cough severity and QoL scores at each time-point and between parent/carer-reported cough severity and QoL scores.

Discussion

Here, we described the annual health resource use and parent/carer and child QoL scores in children with bronchiectasis managed at two Australian and one New Zealand hospitals. In this cohort, children averaged three exacerbations per annum. In any given month, approximately one-third of the cohort presented for medical care, half used antibiotics and one-quarter had absences from school or childcare. Parents/carers sought medical care from a specialist more frequently than GPs or EDs, except during exacerbations. While exacerbations were more frequent in winter, seasonal frequency of exacerbation-related resource use varied between types of resource use. Eleven-percent of exacerbations resulted in hospitalization, and in one-third this included subsequent “hospital-in-the-home” care. Although over time QoL scores for both parents/carers and children were high and stable, better QoL was significantly associated with low cough severity.

There are limited published Australian or New Zealand data on health-related resource use in children or adults with bronchiectasis with which to compare our findings. Redding et al. [15] reported that among Indigenous Australian and Alaskan children aged < 8-years, 15% of exacerbations resulted in hospitalization, which is similar to the findings of this study [15]. In the general Australian child population GP attendance was 3.8 visits/year per child between 2012 and 2015 [16], with acute respiratory illness (ARI) the most common reason for presentation. In a cohort of urban Indigenous children aged < 5-years, health service utilisation for ARI was 3.6 visits per child-year [17] with an annual mean cost in 2017 Australian dollars of $991 (95% confidence interval 514–1468) per child [18]. Thus children with bronchiectasis are seeking health care as frequently as young children with common ARIs and, given the predominance of specialist reviews and hospitalizations, the annual cost of bronchiectasis in children is likely to be substantially higher.

Antibiotic use is high in this cohort, although some may be associated with long-term maintenance courses, such as with azithromycin, rather than additional prescriptions for new exacerbations each month. Nevertheless, the prescription rate of 46.0 per 100 child-months (or 552 per 100 child-years) in this cohort is much higher than the antibiotic prescription rate of 41.4 per 100 child-years that was reported for all Australian children aged 0–12 years in 2013 [19]. Of all Australian children dispensed antibiotics for systemic use in 2013, 53% received one systemic antibiotic course, 22% received two, 11% had three and the remainder received four or more. In New Zealand, during 2010–2014, the mean number of antibiotic courses dispensed to children aged < 6-years approximated 190 per 100 child-years, with dispensing rates 29–35% higher among Maori/Pacific Islanders compared to New Zealand European children [20]. The higher frequency of antibiotic use among exacerbations during winter that was identified in this study is consistent with overall trends of antibiotics prescribing to Australian children in primary care settings [21].

In any given month, one-quarter of the children in the cohort missed school or childcare due to their bronchiectasis. In a recent study of Alaskan Native children aged 7–17 years with bronchiectasis, 15/34 missed school in the previous 12-months because of respiratory illnesses [22]. A systematic review of social and economic consequences of childhood asthma [23] reported children with asthma were absent from school for 2.1–14.8 days per year. This compares with an average 12-days per child-year in our study. Chronic school absenteeism is associated with suboptimal school achievement [24], which can lead to long-term social and economic disadvantage. Children with chronic illness often demonstrate worse school outcomes than their peers without chronic illness [25]. Furthermore, parents/carers frequently take time from work to care for their child, resulting in lost productivity and income.

The overall high QoL and low cough scores we observed are not surprising given that they were obtained during routine clinical visits, as found in another Brisbane study reporting similar QoL scores for children in a stable state [7]. Our finding that both PC-QoL and CC-QoL scores were negatively associated with cough severity is consistent with PC-QoL significantly declining during exacerbations [7].

This study has several limitations. As all symptom and resource use data were parent-reported and data were collected on a monthly basis, there is a potential for parent/guardian misclassification and recall bias respectively. Future studies could reduce the risk of recall bias, and improve the accuracy of findings, by using medical records to confirm parent-reported data and/or having more frequent follow-up. With respect to the representativeness of the study sample; the differences in baseline characteristics between those participants who completed all monthly follow-ups, and those that did not, suggest that younger children and children with poor birth outcomes were over-represented among the data obtained. Redding et al. [15] reported that among Indigenous children with bronchiectasis, younger children (aged < 3-years) were more likely to be hospitalized than older children. Poor birth outcomes are recognized risk factors for respiratory disease [26] and it is plausible that poor birth outcomes may be associated with higher resource use as a result of earlier and more severe respiratory disease.

The study was conducted in three centers where quarterly clinical reviews are standard care and where the relationship between clinicians and their patients is such that families have ongoing access to advice and support when needed. Hence our findings may apply only to centers with similar practices. Furthermore, whilst the clinical characteristics of our children are similar to other bronchiectasis studies conducted in the same study centres [9], the study findings may not be generalisable to children with bronchiectasis elsewhere [27, 28] given reported differences in clinical presentations and underlying etiology. Nevertheless, as shown in Table 3, the attendance at scheduled visits following enrolment was only about 50% for reasons that are uncertain. It may reflect visits that were scheduled when the child was well and the parent/carer did not consider attendance necessary and/or the competing demands of families with respect to work and school, a concern reported by New Zealand mothers of children with bronchiectasis [29]. The small number of parents/carers and children who completed QoL and cough severity questionnaires is likely to have biased our findings, particularly as most questionnaires were completed at clinic visits. It is plausible that the QoL of parents/carers and children who regularly attend scheduled visits and receive ongoing specialist care may be better than those who do not [30]. Alternatively, those not attending may have milder disease. Finally, the tool used to measure cough severity has been reported to have some limitations with respect to its correlation with cough frequency. However there are few other validated tools for assessing cough severity in children [31] and this tool has been used repeatedly in other paediatric respiratory studies, enabling comparisons to be made between studies [32, 33, 34].

Conclusions

To our knowledge, this study is the first to provide disease burden estimates by measuring healthcare resource use for managing pediatric bronchiectasis. It suggests resource use is substantial. Further research is needed to more precisely estimate the cost of disease to families, the healthcare sector and third parties in a broader population of children with bronchiectasis. Such data are critical for informing policy and designing and evaluating interventions to reduce the burden of disease.

Notes

Acknowledgements

We thank the children and their families for participating in the study. We also thank the research nurses/staff Helen Petsky, Joanne Tuppin, Michelle Lewis and Sandra Goodwin (Centre for Children’s Health Research), Charmaine Mobberley (Auckland) and Gabrielle McCallum, Lesley Versteegh (Menzies, Darwin) for their help with data collection.

Authors’ contributions

YLT analyzed the data and prepared the first and final versions of the manuscript. AC, KG and VG conceived the study, prepared the study protocol and data collection instruments and oversaw study implementation. JM, CB, IBM, HB and GB provided significant input into study implementation. KO assisted with the analysis and interpretation of study results and the preparation of the manuscript. All authors reviewed and approved the final manuscript.

Funding

This work was supported by the Australian National Health and Medical Research Council (NHMRC; project grant number 1019834,) the NHMRC Centre for Research Excellence in Lung Health of Aboriginal and Torres Strait Islander Children (1040830), Cure Kids, Auckland, New Zealand (3702764/3539) and Financial Markets Foundation for Children. VG was supported by an NHMRC post-graduate scholarship (1075119). ABC is supported by an NHMRC practitioner fellowship (1058213). KFO was supported by a NHMRC CRE fellowship (10450830). The funding sources had no role in the design and conduct of the study and the authors were independent of the funding agencies and all authors had full access to the data.

Ethics approval and consent to participate

Written informed consent was obtained from a parent/guardian before enrolment; assent was obtained from children aged > 12-years. Human Research Ethics Committees at all participating sites approved the study: Children’s Health Queensland Human Research Ethics Committee, Australia (HREC/12/QRCH/159); Human Research Ethics Committee of the Northern Territory Department of Health and Menzies School of Health Research, Australia (HOMER 2012–1705); Northern A Human and Disability Ethics Committee, New Zealand (HDEC 13/NTA/238/AMO4).

Consent for publication

Written informed consent specified consent for publication.

Competing interests

The authors declare that they have no competing interests.

Supplementary material

12913_2019_4414_MOESM1_ESM.docx (21 kb)
Additional file 1: Table S1. Parent and child-reported cough severity scores at time of clinic visits. Table S2. Correlations between parent and child-reported quality-of-life (QoL) and parent and child-reported cough severity at baseline and months 3, 6, 9 and 12. Table S3. Comparison of baseline characteristics between those participants who completed all 12-monthly follow-up tasks and those participants who did not. (DOCX 21 kb)

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Copyright information

© The Author(s). 2019

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors and Affiliations

  • Yolanda G. Lovie-Toon
    • 1
    Email author
  • Keith Grimwood
    • 2
    • 3
  • Catherine A. Byrnes
    • 4
    • 5
  • Vikas Goyal
    • 3
    • 6
    • 7
  • Greta Busch
    • 1
  • I. Brent Masters
    • 1
    • 6
  • Julie M. Marchant
    • 1
    • 6
  • Helen Buntain
    • 6
  • Kerry-Ann F. O’Grady
    • 1
  • Anne B. Chang
    • 1
    • 6
    • 8
  1. 1.Institute of Health & Biomedical Innovation @ Centre for Children’s Health ResearchQueensland University of TechnologySouth BrisbaneAustralia
  2. 2.School of Medicine and Menzies Health Institute QueenslandGriffith UniversityGold CoastAustralia
  3. 3.Departments of Infectious Diseases and PaediatricsGold Coast HealthGold CoastAustralia
  4. 4.Department of PaediatricsUniversity of AucklandAucklandNew Zealand
  5. 5.Respiratory DepartmentStarship Children’s HospitalAucklandNew Zealand
  6. 6.Department of Respiratory MedicineQueensland Children’s HospitalSouth BrisbaneAustralia
  7. 7.School of MedicineThe University of QueenslandHerstonAustralia
  8. 8.Child Health DivisionMenzies School of Health ResearchTiwiAustralia

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