2014
DOI: 10.1136/bmjopen-2014-005331
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Estimating the prevalence of chronic conditions in children who die in England, Scotland and Wales: a data linkage cohort study

Abstract: ObjectivesTo estimate the proportion of children who die with chronic conditions and examine time trends in childhood deaths involving chronic conditions.DesignRetrospective population-based death cohort study using linked death certificates and hospital discharge records.SettingEngland, Scotland and Wales.ParticipantsAll resident children who died aged 1–18 years between 2001 and 2010.Primary and secondary outcome measuresThe primary outcome was the proportion of children who died with chronic conditions acco… Show more

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Cited by 76 publications
(90 citation statements)
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References 22 publications
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“…Chronic eye or ear conditions were determined using ICD‐10‐AM diagnosis codes as described by Hardelid et al We assigned a diagnosis of epilepsy based on codes G40 and G41, ignoring codes for convulsions (R56) as recommended for improved specificity . Finally, we assigned indicators of several chronic conditions based on the presence of individual diagnostic codes: feeding difficulties (R63.3), gastrostomy (Z43.1 or Z93.1), and dependence on a wheelchair (Z99.3).…”
Section: Methodsmentioning
confidence: 99%
“…Chronic eye or ear conditions were determined using ICD‐10‐AM diagnosis codes as described by Hardelid et al We assigned a diagnosis of epilepsy based on codes G40 and G41, ignoring codes for convulsions (R56) as recommended for improved specificity . Finally, we assigned indicators of several chronic conditions based on the presence of individual diagnostic codes: feeding difficulties (R63.3), gastrostomy (Z43.1 or Z93.1), and dependence on a wheelchair (Z99.3).…”
Section: Methodsmentioning
confidence: 99%
“…The LTC terms were informed by previous reviews that included studies with populations with LTCs or chronic conditions, 79,82,[88][89][90][91][92][93][94][95][96][97][98][99][100][101][102][103][104][105] as well as discussion with experts among the wider project team. Thirteen electronic databases were searched: MEDLINE including MEDLINE in-process (via OvidSP), EMBASE (via OvidSP), PsycINFO (via OvidSP), Cochrane Database of Systematic Reviews (CDSR) (via The Cochrane Library), Cochrane Central Register of Controlled Trials (CENTRAL) (via The Cochrane Library), Database of Abstracts of Reviews of Effects (DARE) (via The Cochrane Library), Health Technology Assessment (HTA) database (via The Cochrane Library), NHS Economic Evaluation Database (NHS EED) (via The Cochrane Library), Cumulative Index of Nursing and Allied Health Literature (CINAHL) (via EBSCOhost), British Nursing Index (via ProQuest), Health Management Information Consortium (HMIC) (via OvidSP), Conference Proceedings Citation Index (via Web of Science) and Science Citation Index (via Web of Science).…”
Section: Search Strategymentioning
confidence: 99%
“…7 Prevalence estimates for childhood chronic conditions vary from <10% 8,9 to almost 50% 10 and are even higher among children who have died (71%). 11 Estimates depend on the definition used 4 which may include medically fragile children, children with special care needs, children with medical complexity and children with long-standing health problems. Estimates are also influenced by the population in which the definition is applied, such as children admitted to hospital, or children enrolled in insurance programmes.…”
mentioning
confidence: 99%