Literature DB >> 29061717

Identifying people with a learning disability: an advanced search for general practice.

Amy M Russell1, Louise Bryant1, Allan House1.   

Abstract

BACKGROUND: People with learning disabilities (LD) have poor physical and mental health when compared with the general population. They are also likely to find it more difficult than others to describe their symptoms adequately. It is therefore harder for healthcare workers to identify the health needs of those with learning disabilities, with the danger of some problems being left unrecognised. Practice registers record only a proportion of those who are eligible, making it difficult to target improvements in their health care. AIM: To test a Read Code search supporting the identification of people with a mild-to-moderate learning disability who are not currently on the learning disability register. DESIGN AND
SETTING: An observational study in primary care in West Yorkshire.
METHOD: Read Code searches were created to identify individuals with a learning disability not on the LD register; they were field tested and further refined before testing in general practice.
RESULTS: Diagnostic codes identified small numbers of individuals who should have been on the LD register. Functional and service use codes often created large numbers of false-positive results. The specific descriptive codes 'Learning difficulties' and 'Referral to learning disability team' needed follow-up review, and then identified some individuals with LD who were not on the register.
CONCLUSION: The Read Code search supported practices to populate their registers and was quick to run and review, making it a viable choice to support register revalidation. However, it did not find large numbers of people eligible for the LD register who were previously unidentified by their practice, suggesting that additional complementary methods are required to support practices to validate their registers. © British Journal of General Practice 2017.

Entities:  

Keywords:  Read Code; general practice; health checks; learning disorders; patient selection; primary health care

Mesh:

Year:  2017        PMID: 29061717      PMCID: PMC5697554          DOI: 10.3399/bjgp17X693461

Source DB:  PubMed          Journal:  Br J Gen Pract        ISSN: 0960-1643            Impact factor:   5.386


INTRODUCTION

Individuals with a learning disability (LD) are estimated to constitute 2% of the adult population.1 Only around a quarter of affected adults are on the learning disability register at their local general practice.1,2 A learning disability is defined as a: ‘... significantly reduced ability to understand new or complex information, to learn new skills (impaired intelligence), with a reduced ability to cope independently (impaired social functioning); which started before adulthood, with a lasting effect on development’.3 A learning disability is often classified by IQ scores, with a score of 50–70 defined as mild, 35–50 moderate, 20–35 severe, and <20 as profound.4 However, IQ is not a favoured way to define a learning disability because it does not represent the functional abilities people have.4 Individuals on the registers tend to be those with more significant/severe intellectual impairment who are known to specialist services.1 Less is known about the lives and care needs of adults with milder learning disabilities,5 even though those with milder learning disabilities could still benefit from flagging on primary care systems, because they too experience high rates of physical ill health and have a reduced life expectancy.6 There is evidence that people with a learning disability are less likely to receive appropriate care for chronic health conditions, including diabetes,7–9 and tend to have poor self-management abilities,7 and worse outcomes than the general population.10 Accurate identification and recording of milder learning disability is the first step in correcting this situation. In the UK, the 2001 government white paper Valuing People aimed to reduce health inequalities experienced by this group.3 Part of its plan was to introduce a goal that all general practices should hold a register of patients with a learning disability. In 2006, the Disability Rights Commission recommended the introduction of annual health checks for people with learning disabilities in England.11 In 2008/2009 a directed enhanced service (DES) introduced health checks for people with a learning disability who were known to social services.12 This DES has continued to feature in each contract, and in 2017/2018 there is an increased payment per health check. Basing health check provision on LD registers that are populated solely on information about people known to social services is inadequate, as it cannot be assumed that the local authority will be aware of all patients with learning disabilities who may qualify for a health check, and those people with a milder disability may not be in receipt of social service support.13 There is, therefore, a benefit in practices compiling their own registers for completeness.12 Attempts have been made to improve the comprehensiveness of learning disability registers using computerised searches of clinical databases in primary care, but they have focused on diagnostic coding alone.1,13 This paper describes the creation of a new search strategy that goes beyond diagnostic coding to identify patients who have an LD but are not on the practice LD register. The search was originally developed as part of a case-finding exercise for a feasibility randomised controlled trial (RCT), OK Diabetes,14 which aimed to identify and recruit adults with a mild-to-moderate learning disability and type 2 diabetes who lived in the community.

How this fits in

Learning disability (LD) registers are a key way to identify patients who could benefit from reasonable adjustments to primary care services and/or health checks. LD registers are usually based upon people known to social services, which can mean that those who have a milder disability are not identified on a register but can suffer poor health as a result of their LD. It is not time efficient to explore patient records at length to identify one or two more people with a learning disability. A quick method is required to validate the membership of the LD register. The search created by the authors in this study proved popular as it took only four clicks in the practice system.

METHOD

Developing search terms

Searches were devised using standard diagnostic codes (Read Codes) to help practices identify individuals who were potentially eligible but not on a learning disability register. They wanted to create a list of patients whose associated Read Codes indicated they might have a learning disability, or had accessed learning disability services, and who did not have a code that would put them on the LD register. The list of codes was needed as the basis for a search that could be run on any general practice health record system. The research team held a series of meetings with system specialists and learning disability clinical experts. Developing a candidate list of codes required several meetings, based upon previous studies and clinical experience.1,13,15,16 Complexity was added in that even diagnostic codes can have multiple entries in Read Codes. For example, Down’s syndrome can be coded in five ways, two using the term Down’s syndrome and three describing Trisomy 21, which may cause problems for audit and research.15 The team decided to focus on four domain categories for the creation of the Read Code search — diagnostic codes, functional codes, service access codes, and descriptive codes. Diagnosis codes identify conditions often associated with a learning disability but that do not automatically add a person to the LD register — for example, Asperger’s syndrome, Autistic disorder, or Down’s syndrome. Including these codes in a search would ensure the need for a clinician to confirm or discount a learning disability. Examples of functional codes included ‘difficulty making considered choices’ (XaA3B) and ‘problems with learning’ (ZV400). Service use codes included ‘attendance at special school’ (XM1Zd) and ‘referral to learning disability team’ (XaJmc). Descriptive codes were those that described the person’s life and status but fell short of a diagnosis and did not describe everyday functioning. They included ‘developmental delay’ (X76B7) and ‘learning difficulties’ (13Z4E).

Field testing the searches

Working with the data quality team at the Commissioning Support Unit (CSU; this is an external organisation that supports clinical commissioning groups with commissioning evidence and research), the usefulness of certain diagnostic codes was tested by running anonymised searches of data held at CSU level for three cities in West Yorkshire, for people who were not on the LD register but had a diagnostic code indicating a learning disability. CSU data was searched for one city in West Yorkshire using a wider range of Read Codes. On the basis of the CSU level searches, the full search was modified, and two general practices then ran the complete search on their systems and made the authors aware of the number of hits each code created. The search was revised, and two further practices reviewed the cases identified by the searches and fed back the results. When finalised, the search was published into SystmOne (the most prevalent clinical computer system in these areas) under clinical reporting (a full list of codes can be found in Appendix 1). For other systems, it was condensed into a zip file to be e-mailed to practices. As a final check of the practical utility of the search, practices were invited to use the search to identify participants for referral to the OK Diabetes RCT, and recorded how often referrals resulted from the search.

RESULTS

Diagnostic codes at the CSU level

In one city in West Yorkshire (population 500 000), there were 26 people with codes for a diagnosis of Down’s syndrome who were not on the LD register at their practice. Table 1 shows the results when other diagnosis codes were searched for people not on the LD register in three cities in West Yorkshire with a combined population of 1.4 million.
Table 1.

Diagnostic codes for people not represented on a learning disability register

Diagnosis codeNumber not on LD register
Prader–Willi syndrome5
Fragile X31
Autistic disorder555

Results from search using three diagnostic codes: numbers identified who were not on the LD register in three cities in West Yorkshire (combined population 1.4 million). LD = learning disability.

Diagnostic codes for people not represented on a learning disability register Results from search using three diagnostic codes: numbers identified who were not on the LD register in three cities in West Yorkshire (combined population 1.4 million). LD = learning disability.

Other Read Codes at the CSU level

Table 2 shows the number of patient records identified by codes that were considered in one city in West Yorkshire (population 500 000), after excluding those individuals on a practice learning disability register.
Table 2.

Number of patients by code

CodeNumber of records (excluding LD register)
Unable to perform personal care activity16 256
Declined diabetic retinopathy screening3038
Learning difficulties1045
Lives in care home743
Adult safeguarding concern710
Impaired cognition577

Results from search using five Read Codes: number of patients identified who were not on the LD register in one city in West Yorkshire (population O.5 million). LD = learning disability.

Number of patients by code Results from search using five Read Codes: number of patients identified who were not on the LD register in one city in West Yorkshire (population O.5 million). LD = learning disability. It was agreed the first two terms in the table returned too many results and would damage the specificity of the search. ‘Learning difficulties’ was considered too important a term to remove, despite its high return. ‘Lives in care home’ and ‘Impaired cognition’ were retained for testing purposes. ‘Adult safeguarding concern’ was removed due to concerns that clinicians would feel uncomfortable reviewing and referring this patient.

Read Codes — practice level

Table 3 shows the results of the search for potential LD when run at Practice 1. The practice found two people who they felt did have a learning disability and were not on their register. Practice 1 has a larger than CCG average list size of approximately 10 000. It resides in the fourth most deprived centile, with a high Quality and Outcomes Framework (QOF) achievement.17 The search was conducted by a nurse who leads on learning disabilities in the practice. This practice had updated its LD register 3 years prior to this search, using a list provided by social services. Those individuals who were marked as ‘don’t know’ were flagged with a GP to explore the next time the individual visited the practice.
Table 3.

Practice-level results of search test

NumberRead Code that identified themIn clinical option do they have an LD? yes/no/don’t know, and notes
1Receives disability living allowanceNo (after some exploration)
2Asperger’s syndromeNo, just Asperger’s without LD
3Learning difficultiesNo, not clear why this term was on record, possibly dyslexia
4Asperger’s syndromeDon’t know
5Learning difficulties/cerebral palsyaYes
6Referral to learning disability teamaYes
7Autistic disorderNo. Just autistic, no LD (clinical decision)
8Learning difficultiesDon’t know
9Asperger’s syndromeNo
10Learning difficultiesDon’t know

Numbers 5 and 6 in bold show that the practice found two people who they felt did have a learning disability and were not on their register. LD = learning disability.

Practice-level results of search test Numbers 5 and 6 in bold show that the practice found two people who they felt did have a learning disability and were not on their register. LD = learning disability. In the search for potential LD when run at Practice 2, the practice found two people who did have a learning disability and were not on their register, and three who required further review. Practice 2 has a list size of approximately 4000, and it resides in the seventh most deprived centile with a high QOF achievement.17 The search was conducted by a GP who leads on learning disabilities in the practice. The search found 14 people who required GP review to exclude — three people with depression, nine people with impaired cognition, one with Asperger’s syndrome, and one attending a voluntary agency. This practice regularly updates its LD register.

Case finding for RCT

In practice, the simplicity of the search strategy proved popular as it took only four ‘clicks’ to run all of the searches. Members of the research team gave support on the use of the searches if required, but it was rarely asked for. In all, 65% (n = 145) of general practices in the study catchment areas were involved in recruitment to the RCT. Of the 325 participants referred, the most successful methods of identification in primary care was cross-referencing learning and diabetes QOF registers (n = 116, 36%). The Read Code searches identified an additional 65 individuals (20%).

DISCUSSION

Summary

A population-level search identified relatively small numbers of people who were not on a LD register who had LD diagnosis codes on their records. The findings raised disconcerting questions because even obvious diagnostic codes like Down’s syndrome identified unregistered patients. This suggests the value of a practice-level search strategy where patients can be identified and added to the register. From the two practices with which the search was developed, the implication is that the Read Code search will identify about two patients per practice who should have been on a learning disability register, at the expense of reviewing about 10 patients who might have other needs for additional support but did not have a learning disability. For a practice with a list size of 5000 (4000 adults), there should be about 80 adults with a learning disability and, typically, about 20–30 will be on the practice LD register. The search, which is easy and quick to use, will add about 10% to the register. Most useful was the code ‘learning difficulties’, which identified the most patients with a potential learning disability, but is coded to mean a variety of things — mild learning disability or severe dyslexia, for example1 — and will therefore include some false positives. ‘Referral to learning disability service’ captured some individuals who were not on the register and therefore proved useful in the study. Diagnostic codes returned few results but would not create many false positives. Read Code searches alone may be unlikely to identify those individuals with a milder learning disability who continue to experience inequalities in health care and outcomes. Further ways of identifying the hidden majority of adults with milder learning disabilities are required, both to support their inclusion in research and to deliver reasonably adjusted healthcare services to this significantly disadvantaged group.

Strengths and limitations

The search is quick to run when published to a primary care clinical system such as SystmOne and can result in the identification of new patients. Searches at city population level have shown there is a need for further register revalidation as people are being missed from registers. The new search does not identify substantial numbers from the hidden majority of unregistered people with a milder learning disability. It is unclear why, but the answer is likely to be because this group do not have a diagnosis and may not self-identify as having a learning disability, and because GPs are reluctant to assign relevant codes even if the patient’s difficulties may be recognised informally when direct contact occurs. A further limitation of this study is that those clinicians who were willing to review the results were often already interested in learning disabilities, and may have already done significant work on validating their registers. The addition of extra codes not only increased the chances of finding people ‘missed’ by previous searches, but also increases the workload for clinicians who need to review the results.

Comparison with existing literature

This study developed the work of previous searches to validate LD registers,1,12 including a greater number of codes to increase the sensitivity of the search. The decision to include functional codes responded to previous findings about the variability of LD coding and aimed to capture those individuals without a formal disease diagnosis.14 It did not attempt to identify prevalence of LD in the general population. Instead, it focused on finding people not identified by the LD register who may benefit from the reasonable adjustment of services.

Implications for research and practice

More effective ways of identifying the hidden majority of adults with milder learning disabilities to support their greater inclusion in research need to be found. Current methods are time consuming and require local knowledge on a practice-by-practice basis.16 The transfer to SNOMED CT (a structured clinical vocabulary for use in an electronic health record) may support further refinement of searches, but this is currently uncertain. Research is also required to explore how decisions are made about who is included on the LD register. The DES’s focus on people known to the local authority has meant that the register is often thought of as only for people with a more severe LD.18 However, there are people who have a mild or moderate LD who would benefit from, and have a legal right to, reasonable adjustments who are currently not flagged in the system.19 This new search is quick, and will identify people currently not offered such adjusted service provision.
NameRead Code V3Read Code V2
[V]Problems with learningZV400N/A
[X]Developmental disorder of scholastic skills, unspecifiedEu81zN/A
[X]Developmental disorder of scholastic skills, unspecifiedEu81zEu81z
Angelman’s syndromePKyz5PKyz5
Asperger syndromeX00TPEu845
Athetoid cerebral palsy or Vogt’s dis: [ophth][neurol]F1370F1370
Attendance at special schoolXM1ZdN/A
Attending day centreXaLLIN/A
Autistic disorderXE2v2N/A
Benign autosomal dominant microcephalyX77qkN/A
Chromosomal abnormalityPJ...PJ...
Classical phenylketonuriaXa0lAN/A
Communication assistance from carer requestedXaR79N/A
Communication skillsXaIyFN/A
Congenital cerebral palsyXM1PuF23..
Congenital cerebral palsy NOSF23z.F23z.
Day care centreYA2658GE6.
Declined diabetic retinopathy screeningXaPjM9m0A.
Delayed reaction timeX765fN/A
Dependent on othersXaQv216ZB3
Developmental delayX76B7R034E
Developmental disorderX00TIE2Fz
Attended diabetes structured education programmeN/A9OLB.
Diabetes structured education programme declinedXaNTH9OLM.
Diabetic patient unsuitable for digital retinal photographyXaKT59OLD.
Difficulty analysing informationXaAyZN/A
Difficulty comprehending concept of dangerXa8LFN/A
Difficulty making considered choicesXaA3BN/A
Difficulty making decisionsX75x8N/A
Difficulty making plansX75x7N/A
Difficulty performing logical sequencingXaA2ON/A
Difficulty processing informationXaAyVN/A
Difficulty processing information accuratelyXaCy8N/A
Difficulty processing information at normal speedXaCyBN/A
Difficulty reasoningXaA2LN/A
Difficulty solving problemsX75x5N/A
Difficulty telling the timeXa3BAN/A
Difficulty using arithmetic reasoningXaA2dN/A
Difficulty using decision-making strategiesXaA2TN/A
Difficulty using verbal reasoningXaA2hN/A
Difficulty using visuospatial reasoningXaA2YN/A
Diffuse neurofibromaX78E5N/A
Domiciliary service need13V5.13V5.
Dominated by carerUa29kN/A
Down’s syndromeXE1MZPJ0-98
Down’s syndrome NOSX78EkPJ0z.
Educated at mixed mainstream and special needs schoolUa0SIN/A
Educated at special needs schoolUa0SGN/A
Edwards’ syndromePJ2..PJ2..
Edwards’ syndrome NOSX78EmN/A
Evidence of lack of understandingY1944N/A
Exc learn disability quality indicators: informed dissentXaRFMN/A
Exc learn disability quality indicators: patient unsuitableXaRFN9hL1.
Family/carer attended diabetes structured education progXaKH19hL0.
Family/carer referral to diabetes structured education progXaKGz8Hj1.
Fragile X chromosomePJyy2PJyy2
Fragile X syndromeX78FBN/A
Global developmental delayUa14sEu85.
Has contact with multiple support agenciesXaJQrN/A
Has difficulty with speech1B93.1B93.
Help by relatives13WJ.13WJ.
Home help attends13G6113G61
HydromicrocephalyP210.P210.
Impaired cognitionUa189N/A
Infantile autism NOSE140zE140z
Informed dissent for diabetes national auditXaJrE9M10.
Intellectual functioning disabilityUb0ihN/A
Klinefelter syndr: [male, more than 2 X chrom][XXXY][XXXXY]PJ71.N/A
Klinefelter’s syndromePJ7..N/A
Klinefelter’s syndrome NOSPJ7z.PJ7z.
Klinefelter’s syndrome XXXXYXM1MKN/A
Klinefelter’s syndrome XXXYXM1MJN/A
Klinefelter’s syndrome XXYYPJ73.PJ73.
Klinefelter’s syndrome XY/XXY mosaicPJ74.PJ74.
Klinefelter’s syndrome — male with more than two X chromosomesXE1MgPJ71.
Learning difficulties13Z4E13Z4E
Learning disabilities administration statusXaJW7N/A
Learning disabilities annual health assessmentXaL3Q9HB5.
Learning disabilities health action plan completedXaJsd9HB4
Learning disabilities health action plan declinedXaJW99HB0.
Learning disabilities health action plan offeredXaJW89HB1.
Learning disabilities health action plan reviewedXaJWA9HB2.
Learning disabilities health assessmentXaJmb9HB3.
Lives in a welfare home13F7113F71
Lives in care homeXaMFG13FX.
Lives in staffed homeUa0LjN/A
Lives in supported homeUa0LeN/A
Memory: present time not knownN/A3A20.
Mental handicap problem66646664
MicrencephalyP211.P211.
Microcephalus NOSP21z.P21z.
MicrocephalyP21..P21..
Mild cognitive impairmentN/A28E0
Moderate cognitive impairmentN/A28E1
Multiple system congenital anomalies NECXE1MlPKy0.
Needs help with cookingXaIwv39G0.
Needs help with houseworkXaIwu39G..
Neu–Laxova syndromeXa0ZQN/A
NeurofibromatosisXa99TN/A
Neurofibromatosis type 1B927.B927.
Neurofibromatosis type 1B927.N/A
Neurofibromatosis type 2X78E2N/A
Neurofibromatosis type 3X78E3N/A
Noonan’s syndromePKy80PKy80
Not involved in dealing with own moniesUa29yN/A
Other accommodation with care and support not specialist mental healthY0adfN/A
Other skill difficultiesY2617N/A
Parent provides full-time careXaQ8YN/A
Parent provides part-time careXaQQVN/A
Partial trisomy 18 in Edwards’ syndromeX78EnN/A
Partial trisomy 21 in Down’s syndromeX78ElN/A
PhenylketonuriaC301.C301.
Prader–Willi syndromePKy93PKy93
Preferred method of communication: MakatonXaR76N/A
Preferred place of care — learning disability unitXaR4mN/A
Primary microcephalyXM00PN/A
Problem related to life management difficultly, unspecifiedN/AZVu5C
Receives help from friendUa0VFN/A
Care from friendsN/A8GEB.
Receives help from lay carerUa0VDN/A
Receives help from neighbourUa0VHN/A
Receives help from relativeUa0VGN/A
Care from relativesN/A8GEA
Receives help from voluntary agencyUa0VEN/A
Referral to learning disability teamXaJmc8HHP.
Requires communication partnerXaJHXN/A
Rett syndromeEu842Eu842
Secondary microcephalyX77qlN/A
Segmental neurofibromatosisX78E4N/A
Severe cognitive impairmentN/A28E2
Slow flow of thoughtX75xyN/A
Slow learnerUa187N/A
Problems with learningN/AZV400
Special educational needsUb0gWN/A
Special educational plan in placeY4850N/A
Speech limited1B4411B441
Sturge–Weber syndromePK61.PK61.
Supported accommodationY0ad2N/A
Supported group homeY0ad4N/A
Supported lodgingsY0ad3N/A
Suspected autismXaIuTN/A
Trisomy 21 — meiotic nondisjunctionPJ00.PJ00.
Trisomy 21 — mitotic nondisjunction mosaicismPJ01.PJ01.
Trisomy 21, translocationN/APJ02.
Tuberous sclerosisPK5..PK5..
Unable to analyse informationXaAyYN/A
Unable to comprehend concept of dangerXa8LE1BV1.
Unable to express selfXa3Y1N/A
Unable to make considered choicesXaA3A28Q1.
Unable to manage medicationXa2yDN/A
Unable to perform logical sequencingXaA2PN/A
Unable to perform shopping activitiesXa7h1N/A
Unable to planXa3bTN/A
Unable to process informationXaAyUN/A
Unable to process information accuratelyXaCy7N/A
Unable to process information at normal speedXaCyAN/A
Unable to readXaBmfN/A
Unable to reasonXaA2KN/A
Unable to tell the timeXa3BDN/A
Unable to think clearlyX75yCN/A
Unable to use arithmetic reasoningXaA2cN/A
Unable to use decision-making strategiesXaA2SN/A
Unable to use medicationN/A8BIj.
Unable to use verbal reasoningXaA2gN/A
Unable to use visuospatial reasoningXaA2XN/A
Unable to writeXaAzPN/A
Voluntary worker attendsXE0p5N/A
Williams syndromePKy4.PKy4.
XXY Klinefelter’s syndromePJ70.PJ70.
XXY Klinefelter’s syndromePJy3.PJy3.

Exc = excluding. LD = learning disability. NEC = not elsewhere classified. NOS = Not otherwise specified.

  9 in total

1.  'Valuing people'--a new strategy for learning disability for the 21st century: how may it impinge on primary care?

Authors:  G Martin
Journal:  Br J Gen Pract       Date:  2001-10       Impact factor: 5.386

2.  The Confidential Inquiry into premature deaths of people with intellectual disabilities in the UK: a population-based study.

Authors:  Pauline Heslop; Peter S Blair; Peter Fleming; Matthew Hoghton; Anna Marriott; Lesley Russ
Journal:  Lancet       Date:  2013-12-11       Impact factor: 79.321

3.  Managing with Learning Disability and Diabetes: OK-Diabetes - a case-finding study and feasibility randomised controlled trial.

Authors:  Allan House; Louise Bryant; Amy M Russell; Alexandra Wright-Hughes; Liz Graham; Rebecca Walwyn; Judy M Wright; Claire Hulme; John L O'Dwyer; Gary Latchford; Shaista Meer; Jacqueline C Birtwistle; Alison Stansfield; Ramzi Ajjan; Amanda Farrin
Journal:  Health Technol Assess       Date:  2018-05       Impact factor: 4.014

4.  Compiling a register of patients with moderate or severe learning disabilities: experience at one United Kingdom general practice.

Authors:  Keri-Michèle Lodge; David Milnes; Simon M Gilbody
Journal:  Ment Health Fam Med       Date:  2011-03

5.  Disparities in diabetes prevalence and preventable hospitalizations in people with intellectual and developmental disability: a population-based study.

Authors:  R S Balogh; J K Lake; E Lin; A Wilton; Y Lunsky
Journal:  Diabet Med       Date:  2014-10-07       Impact factor: 4.359

6.  Estimated prevalence of people with learning disabilities: template for general practice.

Authors:  Victoria Allgar; Ghazala Mir; Joyce Evans; Joyce Marshall; David Cottrell; Phil Heywood; Eric Emerson
Journal:  Br J Gen Pract       Date:  2008-06       Impact factor: 5.386

Review 7.  Diabetes in people with an intellectual disability: a systematic review of prevalence, incidence and impact.

Authors:  K McVilly; J McGillivray; A Curtis; J Lehmann; L Morrish; J Speight
Journal:  Diabet Med       Date:  2014-08       Impact factor: 4.359

8.  Women with learning disabilities and Read coding: lessons from a cohort study.

Authors:  Fiona Reynolds; Debbi L Stanistreet
Journal:  BMC Public Health       Date:  2008-07-22       Impact factor: 3.295

9.  Supported self-management for adults with type 2 diabetes and a learning disability (OK-Diabetes): study protocol for a randomised controlled feasibility trial.

Authors:  Rebecca E A Walwyn; Amy M Russell; Louise D Bryant; Amanda J Farrin; Alexandra M Wright-Hughes; Elizabeth H Graham; Claire Hulme; John L O'Dwyer; Gary J Latchford; Alison J Stansfield; Dinesh Nagi; Ramzi A Ajjan; Allan O House
Journal:  Trials       Date:  2015-08-08       Impact factor: 2.279

  9 in total
  4 in total

1.  Learning disability registers: known unknowns and unknown unknowns.

Authors:  Lara Shemtob; Rathy Ramanathan; Ken Courtenay
Journal:  Br J Gen Pract       Date:  2021-03-26       Impact factor: 5.386

2.  Improving knowledge of psychotropic prescribing in people with Intellectual Disability in primary care.

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Journal:  PLoS One       Date:  2018-09-14       Impact factor: 3.240

3.  Characterizing adults with Type 2 diabetes mellitus and intellectual disability: outcomes of a case-finding study.

Authors:  L D Bryant; A M Russell; R E A Walwyn; A J Farrin; A Wright-Hughes; E H Graham; D Nagi; A Stansfield; J Birtwistle; S Meer; R A Ajjan; A O House
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Review 4.  Health Promotion and Wellness Initiatives Targeting Chronic Disease Prevention and Management for Adults with Intellectual and Developmental Disabilities: Recent Advancements in Type 2 Diabetes.

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  4 in total

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