Literature DB >> 31526224

Impact of funding influenza vaccination on coverage among Australian children: a national study using MedicineInsight, a large general practice database.

Carla De Oliveira Bernardo1, David Alejandro González-Chica1,2, Nigel Stocks1,3,4.   

Abstract

Influenza contributes to morbidity and mortality worldwide. Children are at a higher risk of influenza-related complications and vaccination promotes direct protection and limits transmission. This study aimed to explore influenza vaccination coverage among children in Australian general practice from 2015 to 2018, and patterns in coverage before and after the implementation of state-funded immunization programs. Data from 196,520 'active' patients (3+ consultations in two consecutive years) aged <5 years from 542 Australian general practices were included (MedicineInsight database). Logistic regression models were used to identify associations between vaccination with patient and practice characteristics. The overall vaccination coverage increased more than five times from 2015 (3.9%) to 2018 (19.6%) and varied among states. Children attending practices located in the wealthiest areas were more likely to receive the vaccine and appeared to benefit most from the funding, as the increase in coverage from 2017 to 2018 was greater among them than those attending practices in the least advantaged areas (17 vs. 11 percentage points, respectively). This relationship was not evident when analyzing the patient's socioeconomic level. In conclusion, free influenza vaccinations increase coverage in at-risk populations. Promotional campaigns may be required to maintain higher coverage and target practices located in low-income areas.

Entities:  

Keywords:  Influenza vaccines; general practice; immunization program; vaccination coverage

Year:  2019        PMID: 31526224      PMCID: PMC7227683          DOI: 10.1080/21645515.2019.1664866

Source DB:  PubMed          Journal:  Hum Vaccin Immunother        ISSN: 2164-5515            Impact factor:   3.452


Introduction

Influenza is a highly contagious viral respiratory infection that contributes to morbidity and mortality especially among children aged < 5 years, the elderly, pregnant women and people with chronic conditions.[1-3] The economic consequences of influenza in children are extensive, involving both direct (e.g. hospitalizations) and indirect costs (e.g. productivity losses for their parents).[4,5] Global estimates have found that up to 105,000 influenza-associated respiratory deaths occur annually among children aged < 5 years.[6] In Australia, the highest rates of laboratory-confirmed influenza and influenza hospitalization from 2006 to 2015 were in this age group.[7] Vaccination is the most important measure to prevent influenza infection and influenza-related hospitalization and death.[1,4] Studies show that influenza vaccination in children is either cost-saving or cost-effective, as they are also the principal transmitters of influenza.[4,8-11] The World Health Organization includes all children aged six months to < 5 years as a priority group to be targeted for annual vaccination.[3] Although some countries are following this recommendation, such as the United States (US),[12] Canada,[13] Brazil,[14] Malta[15] and Australia,[16] there is still a high number of countries recommending the vaccine for children in restricted age groups (e.g. 6 months-2 years; 2–3 years; 2–4 years).[15] Furthermore, funding or payment methods vary across countries. In Europe, only 40% of countries reporting a recommendation for influenza vaccination in children offered the vaccine at no cost through national health services.[15] In Australia, until 2017, only Western Australia had funded the vaccine for all children aged 6 months to < 5 years, but from 2018 all states and territories have provided free influenza vaccine for this group, except for Northern Territory which started in 2019.[17] Identifying influenza vaccination coverage and understanding what factors are associated with that is essential when trying to develop effective vaccine strategies and reduce influenza-related outcomes. It is therefore unfortunate that influenza vaccination is not required to be routinely recorded on the Australian Immunization Register (AIR), even those administered in children, and unlike other childhood vaccines, there are no incentive payments for immunization providers to report this information.[18] For this reason and other issues with the recording process,[19] influenza vaccination is expected to be underreported to the AIR. An Australian study showed that almost 70% of influenza vaccinations administered in a sample of children with special risk medical conditions between 2014 and 2015 were not recorded in the AIR.[20] However, other sources of primary care data, including MedicineInsight, a large general practice database, have shown good data quality[21] and consistency in estimating influenza vaccination coverage in adults[22] and could be used for the same purpose in children. Therefore, this study aimed to identify influenza vaccination coverage among children aged < 5 years from 2015 to 2018 in Australian general practice using the MedicineInsight database, and patterns in coverage before and after the implementation of state-funded programs that provided free influenza vaccinations to this age group.

Patients and methods

Sample

This study used data from the MedicineInsight database, a national general practice program developed and managed by the National Prescribing Service (NPS) MedicineWise.[1] De-identified clinical information system data is extracted regularly from participating general practices around Australia. Details of data collection are available elsewhere.[21-23] To investigate influenza immunization coverage from 2015 to 2018, ‘active’ patients aged <5 years were included for analysis. ‘Active’ patients were defined according to the Royal Australian College of General Practitioners as any person who has at least three consultations in two consecutive years in a single general practice.[24]

Data extraction

When a child is vaccinated in an Australian general practice, general practitioners (GPs) and registered nurses may select a medical code in the medical record system or type a ‘free’ text to register this procedure. ‘Free’ text records can include synonyms of influenza vaccination (i.e. flu shot or flu injection) as well as brand names. The data extraction process was based on a previous algorithm used to identify influenza vaccination among adults in the MedicineInsight database.[22] Therefore, the terms used to identify all recorded influenza vaccinations in the immunization field included the term ‘flu’, brand names available in Australia during the study period, such as Agrippal®, Fluarix®, FluQuadri®, Influvac®, Vaxigrip®, as well as possible misspellings of these words.

Outcome and covariates

Influenza immunization status for each year from 2015 to 2018 for ‘active’ patients aged < 5 years was used to provide annual vaccination coverage among all ‘active’ patients in this age group who had a consultation that year. Covariates comprise practice and patient’s characteristics. Practice characteristics include state, rurality (major cities; inner regional; outer regional/remote/very remote) and Index of Relative Socio-economic Advantage and Disadvantage (IRSAD) quintile according to practice location. IRSAD is a macroeconomic indicator of relative economic and social advantage/disadvantage position within an area compared with the rest of the country.[25] Patient’s variables include gender, ethnicity (Aboriginal and/or Torres Strait Islander: yes/no), IRSAD quintile according to the location of residence, and the presence of some comorbidities requiring influenza immunization (i.e. diabetes, cardiac disease or severe asthma).[16] Different fields of the MedicineInsight database were used in for the identification of these comorbidities, including diagnosis, reason for encounter or prescription. Severe asthma was defined as those patients with a diagnosis of asthma requiring the use of prednisolone.[22,26]

Data analysis

Influenza vaccination coverage from 2015 to 2018 was calculated as the adjusted proportion of ‘active’ patients aged < 5 years vaccinated that year among all active patients in the same age group who had a consultation that year. The association between influenza vaccine coverage and practice or patient’s characteristics was assessed using logistic regression with robust standard errors for taking into account the clustering of patients within the practice. Analyses investigating associations with patient’s characteristics were adjusted for gender and practice variables, while associations with practice characteristics were mutually adjusted. Marginal adjusted prediction of vaccination coverage in each category of the exposure variables was then estimated and presented in a table and graphically with their respective 95% confidence intervals. All analyses were performed in the statistical software Stata 15.0 (StataCorp, Texas, USA). To minimize selection bias (i.e. the likelihood of receiving medical treatments or diagnosis increase with the number of visits to the practice)[27] analyses were conditioned to the inverse of the patient’s probability of being in the sample (1/median number of consultations with the GP). The independent MedicineInsight Data Governance Committee has approved the study (protocol 2017–007) and the Human Research Ethics Committee of the University of Adelaide exempted it of an ethical review, as only non-identifiable data was used.

Results

The number of ‘active’ patients varied from 72,252 in 2015, to 81,648 in 2016, 96,282 in 2017 and 119,806 in 2018 (Table 1). Approximately 67% of practices were located in major cities, 30% of them in areas in the top IRSAD quintile and 15% in the bottom quintile. Around 52% of patients were boys, 4.5% were Aboriginal or Torres Strait Islander and 5% had comorbidity.
Table 1.

Influenza vaccine coverage among ‘active’ patientsa aged < 5 years according to practice and patient’s characteristics. Australia, 2015–2018.

 Sample
Vaccination Coverage (%)
 Distribution (%)
2015
2016
2017
2018
VariableN = 196,520n = 72,252n = 81,648n = 96,282n = 119,806
Practice characteristicsb     
State     
New South Wales35.34.03.64.023.9
Victoria22.32.42.64.419.4
Queensland15.13.33.73.917.0
Western Australia14.57.17.19.711.2
Tasmania7.12.72.65.423.4
South Australia2.05.23.23.915.1
Australian Capital Territory2.43.63.75.927.9
Northern Territory1.31.21.53.35.4
Rurality     
Major cities67.13.83.85.318.9
Inner regional20.93.73.34.422.5
Outer regional/Remote12.05.05.15.218.4
IRSAD Quintile     
Very high30.24.74.76.123.5
High18.83.94.05.721.7
Middle23.04.03.95.119.2
Low13.43.03.24.016.0
Very Low14.52.62.22.713.1
Patient’s characteristicsc     
Gender     
Male51.53.83.95.119.2
Female48.53.93.95.120.0
Aboriginal/Torres Strait Islander     
No71.83.83.85.220.0
Yes4.56.55.77.119.0
Not recorded23.63.53.74.518.4
IRSAD Quintile     
Very high27.43.84.05.019.5
High20.24.23.65.019.1
Middle22.83.74.15.921.2
Low15.03.93.64.919.6
Very Low14.63.63.54.318.0
Comorbiditiesd     
No95.03.63.64.919.3
Yes5.06.87.59.827.8
Total1003.93.95.119.6

aAt least three consultations in any two consecutive years from 2015 to 2018.

bLogistic regression models with all variables (practice characteristics) mutually adjusted.

cLogistic regression models adjusted for gender and practice characteristics.

dComorbidities include: cardiac disease, diabetes and severe asthma.

IRSAD: Index of Relative Socio-economic Advantage and Disadvantage.

Influenza vaccine coverage among ‘active’ patientsa aged < 5 years according to practice and patient’s characteristics. Australia, 2015–2018. aAt least three consultations in any two consecutive years from 2015 to 2018. bLogistic regression models with all variables (practice characteristics) mutually adjusted. cLogistic regression models adjusted for gender and practice characteristics. dComorbidities include: cardiac disease, diabetes and severe asthma. IRSAD: Index of Relative Socio-economic Advantage and Disadvantage. Overall, vaccination coverage was similar in 2015 and 2016 (3.9%), with a slight increase in 2017 (5.1%). However, the coverage in 2018 was four times higher (19.6%) than in previous years, and this pattern was observed in all states except the Northern Territory and Western Australia. Patients from practices located in the highest IRSAD quintiles were more likely to receive the vaccine than those in the lowest quintiles in all years. Until 2017, vaccination coverage was highest among Aboriginal and/or Torres Strait Islanders, but the difference decreased after the implementation of vaccine funding for all children aged <5 years in 2018 (except in the Northern Territory). The coverage in any year was similar in boys and girls, and a patient’s IRSAD did not appear to influence vaccination coverage as did practice IRSAD. In 2018, approximately 20% of children were vaccinated regardless of their area of residence. On the other hand, children with comorbidities had a higher vaccination coverage than their peers in all years, especially in 2018, when the coverage increased 18 percentage points compared to 2017, while among those without comorbidities it increased less than 15 percentage points (Table 1). Figures 1 and 2 analyze in detail the main changes in influenza vaccination coverage between 2017 and 2018 (i.e. when funding vaccines were made available in most states) according to state and practice IRSAD quintiles. The Northern Territory continued to have the lowest coverage in 2018, while in Western Australia coverage was less than two percentage points higher than in 2017. Vaccination coverage among children attending practices located in the top IRSAD quintile (i.e. the most advantaged areas) was 17 percentage points higher than in 2017, while among practices in the bottom quintile the difference was of 11 percentage points, reinforcing disparities between practices in these areas.
Figure 1.

Influenza vaccination coverage among children aged < 5 years in all Australian jurisdictions in 2017 and 2018.

Figure 2.

Influenza vaccination coverage among Australian children aged < 5 years in 2017 and 2018 according to practice IRSAD quintiles.

Influenza vaccination coverage among children aged < 5 years in all Australian jurisdictions in 2017 and 2018. Influenza vaccination coverage among Australian children aged < 5 years in 2017 and 2018 according to practice IRSAD quintiles.

Discussion

The study aimed to identify, using de-identified individual patient electronic medical records from a general practice database, influenza vaccination coverage in children aged <5 years and vaccination patterns related to practice and patient’s characteristics before and after the implementation of state-funded vaccines. Three main findings can be highlighted based on our results. First, vaccination coverage was at least four times higher in 2018 than previous years in most Australian states, except Western Australia and the Northern Territory. Second, patients attending practices in the wealthiest areas have the highest vaccination coverage in all years and they benefited most from this state-funding program. Finally, children with comorbidities continued to have higher vaccination coverage than their peers, but the same pattern was not observed among Aboriginal and/or Torres Strait Islander children. Our results showed that coverage was markedly higher in 2018 (~20%) compared to previous years (5%), corroborating data from the AIR for New South Wales (changing from 5% to 25% in the same period).[19] According to the mentioned report and other studies, to maintain a higher coverage, influenza vaccination should continue to be funded for all children aged 6 months to 5 years, and strategies should also include providers to enhance knowledge and awareness on the vaccine, as a direct recommendation from a health professional has been associated with a higher likelihood of being vaccinated.[19,28,29] A study performed in the United Kingdom (UK) also found a large increase in influenza vaccination after the introduction of a universal vaccination policy for all children aged 2–4 years. According to that study, the vaccination uptake in the UK changed from 1% in 2012–2013 to more than 30% in 2014–2015 among children without comorbidities.[30] Western Australia and the Northern Territory were the only two states in our study with less pronounced changes from 2017 to 2018. These findings can be explained by the fact that Western Australia has already funded influenza vaccine for all children since 2008.[17] This may also explain why it had the highest coverage from 2015 to 2017 among all states and territories. It is noted, however, that in 2018 the coverage in Western Australia (11%) was lower compared to the other states (15–28%, except by the Northern Territory). This finding suggests that coverage in other states could decrease over time without appropriate promotional vaccine strategies, as the state-funding program may be undermined by the lack of incentive payments.[19] On the other hand, the Northern Territory showed the lowest vaccination coverage over the period, and it is probably related to the funding being started in 2019.[17] Nevertheless, a subtle increase was observed from 2017, probably because of a higher influenza activity identified in Australia in that year,[26] which may have increased awareness among the community. Unlike other states, where community health services deliver only 7% of vaccinations, in the Northern Territory approximately 47% of vaccinations are administered in this setting.[18] In this sense, results from this jurisdiction should be analyzed with caution, especially because more than 25% of its population is Aboriginal and/or Torres Strait Islander. One of the most important determinants of vaccination coverage in our study was practice IRSAD. Children from practices located in the wealthiest areas had higher coverage than those in the poorest areas before and after the implementation of the free-vaccine scheme. Moreover, the former seemed to benefit most from the funding, as the increase in coverage from 2017 to 2018 was greater among patients from these practices than those in the poorest areas, increasing absolute disparities. This relationship was not evident when analyzing patient’s socioeconomic level (IRSAD quintile), which suggests that interventions to improve vaccination coverage would get a greater benefit from promotional campaigns targeting practices and GPs in low socioeconomic areas. We identified a similar vaccination coverage in boys and girls, and this finding is consistent with reports from the UK,[30] China[31] and Australia.[32] On the other hand, vaccination coverage between 2015 and 2017 was slightly higher among Aboriginal and/or Torres Strait Islander children, and similar figures were reported in a study conducted in New South Wales.[19] Influenza vaccine has been nationally-funded for these groups since 2015 because of their higher vulnerability to respiratory illnesses and influenza-related hospitalizations.[7,33] However, the increase in vaccination coverage in 2018 reduced the differences between Indigenous (19%) and non-Indigenous children (20%), with similar results being identified in the study from New South Wales (26% and 25%, respectively).[19] These findings should be interpreted cautiously, as these groups are more likely to be vaccinated at Community and Indigenous Health Services rather than in general practices.[18] Considering that the AIR still has several limitations in reporting influenza vaccination (e.g. lack of incentive payments, technical problems in the recording process) and surveys are expensive and may overestimate vaccination coverage,[20] the use of general practice data may be a simple and low-cost method to monitor annual influenza vaccination coverage in children. The study strengths include its very large sample of Australian patients, from all jurisdictions and socioeconomic areas. Moreover, the database has information on the whole medical history of each patient, so it is possible to identify comorbidities and any other relevant medical information.[21] Despite its strengths, the study is not free of limitations. Because of ethical restrictions, MedicineInsight only provides the age in years. Therefore, children under six months (i.e. with no recommendation for influenza vaccination) are included in the study, which may have underestimated coverage estimates. However, it is unlikely that associations with practice or patient’s characteristics were affected by this limitation. Second, the database is populated during the encounters by GPs or registered nurses, and depending on the practice routine or burden, data can have its accuracy and completeness compromised. However, we used algorithms for data extraction including medical codes and ‘free’ text in a systematic process and considering different fields to increase data quality.[34] Finally, despite most vaccinations are given in Australian general practice (81%),[18] some are administered in Community and Indigenous Health Services, local councils or pharmacies, which are not captured by MedicineInsight. In conclusion, free access to influenza vaccination has increased the coverage among children aged <5 years. The higher coverage in children with comorbidities indicates GPs and/or parents are aware of the benefits of vaccination among these children. Interventions to promote increased vaccination coverage should target practices or GPs in low socioeconomic areas, as practice/GP location was identified as an important determinant of vaccine coverage. Finally, promotional and educational strategies should be placed in practice to maintain higher influenza vaccination coverage over time, as the lack of incentive payments might undermine the benefits of this funded program.
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2.  Controlling for Informed Presence Bias Due to the Number of Health Encounters in an Electronic Health Record.

Authors:  Benjamin A Goldstein; Nrupen A Bhavsar; Matthew Phelan; Michael J Pencina
Journal:  Am J Epidemiol       Date:  2016-11-16       Impact factor: 4.897

Review 3.  Cost-effectiveness and socio-economic aspects of childhood influenza vaccination.

Authors:  Kristin L Nichol
Journal:  Vaccine       Date:  2011-08-04       Impact factor: 3.641

4.  Strategies in recommending influenza vaccination in Europe and US.

Authors:  Caterina Rizzo; Giovanni Rezza; Walter Ricciardi
Journal:  Hum Vaccin Immunother       Date:  2018-01-09       Impact factor: 3.452

5.  Influenza immunisation coverage from 2015 to 2017: A national study of adult patients from Australian general practice.

Authors:  Carla De Oliveira Bernardo; David Alejandro González-Chica; Monique Chilver; Nigel Stocks
Journal:  Vaccine       Date:  2019-06-26       Impact factor: 3.641

6.  Estimates of global seasonal influenza-associated respiratory mortality: a modelling study.

Authors:  A Danielle Iuliano; Katherine M Roguski; Howard H Chang; David J Muscatello; Rakhee Palekar; Stefano Tempia; Cheryl Cohen; Jon Michael Gran; Dena Schanzer; Benjamin J Cowling; Peng Wu; Jan Kyncl; Li Wei Ang; Minah Park; Monika Redlberger-Fritz; Hongjie Yu; Laura Espenhain; Anand Krishnan; Gideon Emukule; Liselotte van Asten; Susana Pereira da Silva; Suchunya Aungkulanon; Udo Buchholz; Marc-Alain Widdowson; Joseph S Bresee
Journal:  Lancet       Date:  2017-12-14       Impact factor: 79.321

7.  Public health impact and economic benefits of quadrivalent influenza vaccine in Latin America.

Authors:  Aurélien Jamotte; Emilie Clay; Bérengère Macabeo; Andrès Caicedo; Juan Guillermo Lopez; Lucia Bricks; Martín Romero Prada; Rubén Marrugo; Pamela Alfonso; Brechla Moreno Arévalo; Danilo Franco; Lourdes Garcia Diaz; Yadira Isaza de Molto
Journal:  Hum Vaccin Immunother       Date:  2017-01-24       Impact factor: 3.452

8.  Global influenza seasonality to inform country-level vaccine programs: An analysis of WHO FluNet influenza surveillance data between 2011 and 2016.

Authors:  Laura P Newman; Niranjan Bhat; Jessica A Fleming; Kathleen M Neuzil
Journal:  PLoS One       Date:  2018-02-21       Impact factor: 3.240

Review 9.  Burden, effectiveness and safety of influenza vaccines in elderly, paediatric and pregnant populations.

Authors:  Sheena G Sullivan; Olivia H Price; Annette K Regan
Journal:  Ther Adv Vaccines Immunother       Date:  2019-02-07

10.  Influenza-like illness and antimicrobial prescribing in Australian general practice from 2015 to 2017: a national longitudinal study using the MedicineInsight dataset.

Authors:  Carla De Oliveira Bernardo; David Gonzalez-Chica; Nigel Stocks
Journal:  BMJ Open       Date:  2019-05-01       Impact factor: 2.692

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