scholarly journals Examining the link between family health events and pupil performance in Wales

2019 ◽  
Vol 4 (3) ◽  
Author(s):  
Phil Murphy ◽  
Samuel Brown
Keyword(s):  
Educational Attainment ◽  
Administrative Data ◽  
Hospital Admissions ◽  
Family Health ◽  
Strong Relationship ◽  
World Health ◽  
Health Events ◽  
Depth Analysis ◽  
Icd 10 ◽  
The Uk

Background with rationale There is evidence of a strong relationship between health (and mother’s health) and early educational attainment. With access to administrative data this relationship can be explored to greater depth for the UK. Main Aim To explore the effects of a pupil’s and their mother’s health (split into 22 categories) upon the pupil’s educational attainment through the use of administrative data. Methods/Approach Health events were found through hospital admissions and then converted into the World Health Organisation’s ICD-10 health events. Two year lags were also created for these health events. Probit and ordered probit analyses were then used to explore the effects of these health events on a binary pass/fail core subject indicator and on a teacher assessed grade for Maths, Science and English. Analysis was split by gender and keystage. Results Few of the health events affect the educational attainment of the pupil. The health of male pupils has little impact on education, with the mother’s health having a stronger impact. The mother’s past health events have the greatest impact upon the male pupil’s education. The male pupil’s past health effects keystage 2 pupils the most, with little effect for keystage 1 and 3 pupils. Female pupils’ health has little impact at keystage 1, with increasing importance at keystage 2 and 3. Mother’s health (including past health) seems to have the opposite effect, being more important at keystage 1 and less at keystage 2 and 3. The female pupil’s past health has a small but consistent impact across all keystages. Conclusion By splitting health into ICD-10 categories, the health events that affect education have been more clearly identified. Most importantly, however, is the contribution of administrative data, allowing for in-depth analysis of health on education.

scholarly journals Understanding Leisure Centre-Based Physical Activity after Physical Activity Referral: Evidence from Scheme Participants and Completers in Northumberland UK

2021 ◽  
Vol 18 (6) ◽  
pp. 2957
Author(s):  
Jordan Bell ◽  
Lis Neubeck ◽  
Kai Jin ◽  
Paul Kelly ◽  
Coral L. Hanson
Keyword(s):  
Physical Activity ◽  
Administrative Data ◽  
World Health Organisation ◽  
Ordinal Regression ◽  
World Health ◽  
Activity Levels ◽  
The World ◽  
The Uk

Physical activity referral schemes (PARS) are a popular physical activity (PA) intervention in the UK. Little is known about the type, intensity and duration of PA undertaken during and post PARS. We calculated weekly leisure centre-based moderate/vigorous PA for PARS participants (n = 448) and PARS completers (n = 746) in Northumberland, UK, between March 2019–February 2020 using administrative data. We categorised activity levels (<30 min/week, 30–149 min/week and ≥150 min/week) and used ordinal regression to examine predictors for activity category achieved. PARS participants took part in a median of 57.0 min (IQR 26.0–90.0) and PARS completers a median of 68.0 min (IQR 42.0–100.0) moderate/vigorous leisure centre-based PA per week. Being a PARS completer (OR: 2.14, 95% CI: 1.61–2.82) was a positive predictor of achieving a higher level of physical activity category compared to PARS participants. Female PARS participants were less likely (OR: 0.65, 95% CI: 0.43–0.97) to achieve ≥30 min of moderate/vigorous LCPA per week compared to male PARS participants. PARS participants achieved 38.0% and PARS completers 45.3% of the World Health Organisation recommended ≥150 min of moderate/vigorous weekly PA through leisure centre use. Strategies integrated within PARS to promote PA outside of leisure centre-based activity may help participants achieve PA guidelines.

scholarly journals Survey of ICD-10 coding of hospital admissions in the UK due to recreational drug toxicity

QJM ◽  
2011 ◽  
Vol 104 (9) ◽  
pp. 779-784 ◽  
Author(s):  
A.D. Shah ◽  
D.M. Wood ◽  
P.I. Dargan
Keyword(s):  
Drug Toxicity ◽  
Hospital Admissions ◽  
Recreational Drug ◽  
Icd 10 ◽  
The Uk

scholarly journals Acute general hospital admissions in people with serious mental illness

2018 ◽  
Vol 48 (16) ◽  
pp. 2676-2683 ◽  
Author(s):  
Nishamali Jayatilleke ◽  
Richard D. Hayes ◽  
Chin-Kuo Chang ◽  
Robert Stewart
Keyword(s):  
Mental Illness ◽  
Serious Mental Illness ◽  
Hospital Admissions ◽  
Healthcare Access ◽  
Medically Unexplained Symptoms ◽  
International Classification Of Diseases ◽  
World Health ◽  
Icd 10 ◽  
Metabolic Conditions ◽  
Health Organization

AbstractBackgroundSerious mental illness (SMI, including schizophrenia, schizoaffective disorder, and bipolar disorder) is associated with worse general health. However, admissions to general hospitals have received little investigation. We sought to delineate frequencies of and causes for non-psychiatric hospital admissions in SMI and compare with the general population in the same area.MethodsRecords of 18 380 individuals with SMI aged ⩾20 years in southeast London were linked to hospitalisation data. Age- and gender-standardised admission ratios (SARs) were calculated by primary discharge diagnoses in the 10th edition of the World Health Organization International Classification of Diseases (ICD-10) codes, referencing geographic catchment data.ResultsCommonest discharge diagnosis categories in the SMI cohort were urinary conditions, digestive conditions, unclassified symptoms, neoplasms, and respiratory conditions. SARs were raised for most major categories, except neoplasms for a significantly lower risk. Hospitalisation risks were specifically higher for poisoning and external causes, injury, endocrine/metabolic conditions, haematological, neurological, dermatological, infectious and non-specific (‘Z-code’) causes. The five commonest specific ICD-10 diagnoses at discharge were ‘chronic renal failure’ (N18), a non-specific code (Z04), ‘dental caries’ (K02), ‘other disorders of the urinary system’ (N39), and ‘pain in throat and chest’ (R07), all of which were higher than expected (SARs ranging 1.57–6.66).ConclusionA range of reasons for non-psychiatric hospitalisation in SMI is apparent, with self-harm, self-neglect and/or reduced healthcare access, and medically unexplained symptoms as potential underlying explanations.

RCVS: Symptoms, Incidence, and Resource Utilization in a Population-Based US Cohort

Neurology ◽  
2021 ◽  
pp. 10.1212/WNL.0000000000012223
Author(s):  
Jessica Magid-Bernstein ◽  
Setareh Salehi Omran ◽  
Neal S. Parikh ◽  
Alexander E. Merkler ◽  
Babak Navi ◽  
...  
Keyword(s):  
Hospital Admission ◽  
Administrative Data ◽  
Census Data ◽  
Hospital Admissions ◽  
Population Based ◽  
Cerebrovascular Diseases ◽  
Cerebral Vasoconstriction ◽  
Icd 10 ◽  
Incidence Of Hospitalization ◽  
Age And Sex

Objective:To estimate the incidence of hospitalization for reversible cerebral vasoconstriction syndrome (RCVS), we identified RCVS-related hospital admissions across 11 U.S. states in 2016.Methods:We tested the validity of ICD-10 code I67.841 in 79 patients with hospital admissions for RCVS or other cerebrovascular diseases at one academic and one community hospital. After determining that this code had a sensitivity of 100% (95% CI, 82-100%) and a specificity of 90% (95% CI, 79-96%), we applied it to administrative data from the Healthcare Cost and Utilization Project on all ED visits and hospital admissions. Age- and sex-standardized RCVS incidence was calculated using census data. Descriptive statistics were used to analyze associated diagnoses.Results:Across 5,067,250 hospital admissions in our administrative data, we identified 222 patients with a discharge diagnosis of RCVS in 2016. The estimated annual age- and sex-standardized incidence of RCVS hospitalization was 2.7 (95% CI, 2.4-3.1) cases per million adults. Many patients had concomitant neurologic diagnoses, including subarachnoid hemorrhage (37%), ischemic stroke (16%), and intracerebral hemorrhage (10%). In the 90 days before the index admission, 97 patients had an ED visit and 34 patients a hospital admission, most commonly for neurologic, psychiatric, and pregnancy-related diagnoses. Following discharge from the RCVS hospital admission, 58 patients had an ED visit and 31 had a hospital admission, most commonly for neurologic diagnoses.Conclusions:Using population-wide data, we estimated the age- and sex-standardized incidence of hospitalization for RCVS in U.S. adults as approximately 3 per million per year.

scholarly journals What Matters? Non-Electoral Youth Political Participation in Austerity Britain

Societies ◽  
2018 ◽  
Vol 8 (4) ◽  
pp. 101 ◽  
Author(s):  
Muhammad Ehsan
Keyword(s):  
Young People ◽  
Political Participation ◽  
Educational Attainment ◽  
Global Financial Crisis ◽  
Party Identification ◽  
Strong Relationship ◽  
Conservative Party ◽  
Electoral Participation ◽  
Political Messages ◽  
The Uk

Since the 2008 global financial crisis, Britain’s young people have been disproportionately affected by policies of welfare retrenchment. Youth disillusionment with austerity has been cited as a reason for the youthquake witnessed in the 2017 General Election, where the Labour Party’s better-than-expected performance resulted in the loss of the ruling Conservative Party government’s parliamentary majority. The degree of one-party dominance among younger voters was unprecedented, with Labour’s aggressively pro-youth agenda paying dividends. However, this paper takes the attention away from voting behaviour and towards non-electoral forms of youth political participation in the UK. What are the strongest predictors of non-electoral political participation among young British people? Three possible predictors are explored: educational attainment, level of trust in politicians, and party identification. Three forms of non-electoral participation are considered: signing a petition, taking part in a boycott and sharing political messages on social media. Using a bespoke representative survey commissioned by Hope Not Hate, this paper finds that educational attainment does not have a particularly strong effect on non-electoral participation, with Labour Party identification being significantly associated with all three forms. A strong relationship is also discovered between identifying with a ‘minor party’ and non-electoral political participation among Britain’s young people.

Exploring in-hospital adverse drug events using ICD-10 codes

2014 ◽  
Vol 38 (4) ◽  
pp. 454 ◽  
Author(s):  
Sumit Parikh ◽  
Donna Christensen ◽  
Peter Stuchbery ◽  
Jenny Peterson ◽  
Anastasia Hutchinson ◽  
...  
Keyword(s):  
Hospital Stay ◽  
Administrative Data ◽  
Health Professionals ◽  
Adverse Drug Events ◽  
Hospital Admissions ◽  
Discharge Data ◽  
Icd 10 ◽  
Hospital Stays ◽  
Present On Admission

Objective Adverse drug events (ADEs) during hospital admissions are a widespread problem associated with adverse patient outcomes. The ‘external cause’ codes in the International Statistical Classification of Diseases and Related Health Problems 10th Revision (ICD-10) provide opportunities for identifying the incidence of ADEs acquired during hospital stays that may assist in targeting interventions to decrease their occurrence. The aim of the present study was to use routine administrative data to identify ADEs acquired during hospital admissions in a suburban healthcare network in Melbourne, Australia. Methods Thirty-nine secondary diagnosis fields of hospital discharge data for a 1-year period were reviewed for ‘diagnoses not present on admission’ and assigned to the Classification of Hospital Acquired Diagnoses (CHADx) subclasses. Discharges with one or more ADE subclass were extracted for retrospective analysis. Results From 57 205 hospital discharges, 7891 discharges (13.8%) had at least one CHADx, and 402 discharges (0.7%) had an ADE recorded. The highest proportion of ADEs was due to administration of analgesics (27%) and systemic antibiotics (23%). Other major contributors were anticoagulation (13%), anaesthesia (9%) and medications with cardiovascular side-effects (9%). Conclusion Hospital data coded in ICD-10 can be used to identify ADEs that occur during hospital stays and also clinical conditions, therapeutic drug classes and treating units where these occur. Using the CHADx algorithm on administrative datasets provides a consistent and economical method for such ADE monitoring. What is known about the topic? Adverse drug events (ADEs) can result in several different physical consequences, ranging from allergic reactions to death, thereby posing a significant burden on patients and the health system. Numerous studies have compared manual, written incident reporting systems used by hospital staff with computerised automated systems to identify ADEs acquired during hospital admissions. Despite various approaches aimed at improving the detection of ADEs, they remain under-reported, as a result of which interventions to mitigate the effect of ADEs cannot be initiated effectively. What does this paper add? This research article demonstrates major methodological advances over comparable published studies looking at the effectiveness of using routine administrative data to monitor rates of ADEs that occur during a hospital stay and reviews the type of ADEs and their frequency patterns during patient admission. It also provides an insight into the effect of ADEs that occur within different hospital treating units. The method implemented in this study is unique because it uses a grouping algorithm developed for the Australian Commission on Safety and Quality in Health Care (ACSQHC) to identify ADEs not present on admission from patient data coded in ICD-10. This algorithm links the coded external causes of ADEs with their consequences or manifestations. ADEs identified through the use of programmed code based on this algorithm have not been studied in the past and therefore this paper adds to previous knowledge in this subject area. What are the implications for health professionals? Although not all ADEs can be prevented with current medical knowledge, this study can assist health professionals in targeting interventions that can efficiently reduce the rate of ADEs that occur during a hospital stay, and improve information available for future medication management decisions.

scholarly journals First steps in demonstrating an impact on health service use of the Welsh Government Supporting People homelessness prevention programme using linked administrative data

2017 ◽  
Vol 1 (1) ◽  
Author(s):  
Sarah Lowe ◽  
Laura McGinn ◽  
Martin Heaven ◽  
Lucie Griffiths ◽  
Kerry Bailey
Keyword(s):  
Comparative Analysis ◽  
Administrative Data ◽  
Service Use ◽  
Hospital Admissions ◽  
Health Service Use ◽  
Prevention Programme ◽  
Control Groups ◽  
Health Events ◽  
Homelessness Prevention ◽  
Linked Administrative Data

ABSTRACT ObjectivesTo assess the feasibility of using linked administrative data to deliver a quantitative component to the evaluation of the national homelessness prevention programme in Wales, Supporting People. Specifically, to establish whether any impact of Supporting People on the use of health services could be demonstrated. Approach: Data on the Supporting People programme was acquired from two pathfinder Local Authorities in Wales and anonymously linked to the routine health records held in the SAIL Databank at Swansea University. Any bias in linking rates was examined and health events analysed for the period 12 months before and 12 months after the point when homelessness prevention support began (the ‘crisis point’). The study evaluated a range of possible control groups that could be created using administrative data and undertook some preliminary comparative analysis. ResultsThe results of the study are due to be published on 10th March 2016 so detailed results will be available for August. We will briefly explore the unique contribution of data linking to researching the hard-to-reach and/or vulnerable groups supported by the intervention (e.g. people with substance misuse problems, women experiencing domestic violence and people with a criminal offending history) and the challenges of delivering a quantitative evaluation using linked administrative data. Findings will be reported on linking rates including any potential areas where particular service groups were relatively less well represented. Patterns of the following health events will be reported around the ‘crisis point’: i) number of days when GP events occurred; ii) number of A&E visits and iii) number of emergency hospital admissions. Interpretations are made of consistent patterns of health events across different service user subgroups. The GP diagnosis codes, GP prescribing codes, reasons for visiting A&E and reasons for emergency hospital admissions that showed the greatest decrease after the intervention will be reported. A brief discussion will be presented of the suitability of different control groups and the findings of the preliminary comparative analysis. ConclusionsUsing primary research methods, demonstrating the impact of a homelessness prevention programme on outcomes like health service use represents an insuperable challenge. The use of data linking data delivers a challenging but potentially robust method to demonstrate impact and the feasibility study was able to take the first steps towards demonstrating improved health outcomes for individuals.

scholarly journals Coding for clinicians

2014 ◽  
Vol 96 (8) ◽  
pp. 286-287 ◽  
Author(s):  
Sue Eve-Jones
Keyword(s):  
Clinical Information ◽  
World Health ◽  
Clinical Coding ◽  
Health And Social Care ◽  
Classification Of Diseases ◽  
Icd 10 ◽  
International Statistical Classification ◽  
Health Organization ◽  
The Uk

Clinical coding is the translation of certain clinical information into a coded form following principles and rules. In the UK this is generally done using the 10th revision of the International Statistical Classification of Diseases and Related Health Problems (ICD-10), which is produced by the World Health Organization to capture information about diagnoses and health status, and the OPCS Classification of Interventions and Procedures Version 4.7 (OPCS-4.7), which is produced by the Health and Social Care Information Centre to capture information about certain interventions.

scholarly journals Alma Ata: Reflections and future prospects in family health strategy

2020 ◽  
Vol 68 ◽  
Author(s):  
Marcia MARINHO ◽  
Sonia GROISMAN
Keyword(s):  
Public Health ◽  
Public Policies ◽  
Family Health ◽  
World Health ◽  
Health Events ◽  
Health Strategy ◽  
The World ◽  
Family Health Strategy ◽  
Significant Public Health ◽  
First Time

ABSTRACT The International Conference on Primary Health Care, held in Alma Ata, was one of the most significant public health events in the world, where for the first time the dependency between poverty and health status was discussed and measured. Even after 40 years of its implementation, it continues to influence directly public policies related to the principles of primary care. The aim of the present study was to carry out a review of literature based on PubMed / Medline, Virtual Health Library (BVS / Bireme / WHO-PAHO) and institutional documents of Brazilian Ministry of Health, in order to point out reflections of perceptions about Alma Ata Conference, in Brazilian public policies, tracing an evolutionary profile to the family health strategy and its future perspectives. Although the study found a strong influence of the Alma Ata Conference in Brazilian public health policies it still needs improvement to reach the global goals and objectives agreed by all countries in Alma Ata and reaffirmed in the World Health Organization’s 2030 Sustainability Agenda.

scholarly journals Bridging primary and secondary care for people with learning disabilities

1995 ◽  
Vol 1 (7) ◽  
pp. 207-213 ◽  
Author(s):  
Neill J. Simpson
Keyword(s):  
Learning Disabilities ◽  
Mental Retardation ◽  
World Health Organization ◽  
Learning Disability ◽  
Secondary Care ◽  
World Health ◽  
Department Of Health ◽  
Icd 10 ◽  
Health Organization ◽  
The Uk

Definitions for learning disability vary depending on the context in which they are used (Box 1), as does the terminology (Box 2). In the UK, the term ‘learning disability’ was adopted in 1991 by the Department of Health. The term ‘mental retardation’ is used in the ICD-10 (World Health Organization, 1992). Fryers (1991) has commented on the need for different definitions in order to distinguish the context in which the term is used.

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