An audit of clozapine recording in primary care patient records

2021 ◽  
Keyword(s):  
Primary Care ◽  
Primary Care Patient ◽  
Care Patient ◽  
Patient Records

scholarly journals Automated detection of patients with dementia whose symptoms have been identified in primary care but have no formal diagnosis: a retrospective case–control study using electronic primary care records

BMJ Open ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. e039248
Author(s):  
Elizabeth Ford ◽  
Joanne Sheppard ◽  
Seb Oliver ◽  
Philip Rooney ◽  
Sube Banerjee ◽  
...  
Keyword(s):  
Primary Care ◽  
Case Control Study ◽  
Primary Care Patient ◽  
Care Patient ◽  
Case Control ◽  
Service Planning ◽  
Patient Records ◽  
Diagnosis Code ◽  
Retrospective Case ◽  
Control Study

ObjectivesUK statistics suggest only two-thirds of patients with dementia get a diagnosis recorded in primary care. General practitioners (GPs) report barriers to formally diagnosing dementia, so some patients may be known by GPs to have dementia but may be missing a diagnosis in their patient record. We aimed to produce a method to identify these ‘known but unlabelled’ patients with dementia using data from primary care patient records.DesignRetrospective case–control study using routinely collected primary care patient records from Clinical Practice Research Datalink.SettingUK general practice.ParticipantsEnglish patients aged >65 years, with a coded diagnosis of dementia recorded in 2000–2012 (cases), matched 1:1 with patients with no diagnosis code for dementia (controls).InterventionsEight coded and nine keyword concepts indicating symptoms, screening tests, referrals and care for dementia recorded in the 5 years before diagnosis. We trialled machine learning classifiers to discriminate between cases and controls (logistic regression, naïve Bayes, random forest).Primary and secondary outcomesThe outcome variable was dementia diagnosis code; the accuracy of classifiers was assessed using area under the receiver operating characteristic curve (AUC); the order of features contributing to discrimination was examined.Results93 426 patients were included; the median age was 83 years (64.8% women). Three classifiers achieved high discrimination and performed very similarly. AUCs were 0.87–0.90 with coded variables, rising to 0.90–0.94 with keywords added. Feature prioritisation was different for each classifier; commonly prioritised features were Alzheimer’s prescription, dementia annual review, memory loss and dementia keywords.ConclusionsIt is possible to detect patients with dementia who are known to GPs but unlabelled with a diagnostic code, with a high degree of accuracy in electronic primary care record data. Using keywords from clinic notes and letters improves accuracy compared with coded data alone. This approach could improve identification of dementia cases for record-keeping, service planning and delivery of good quality care.

scholarly journals Primary Care Patient Records in the United Kingdom: Past, Present, and Future Research Priorities

10.2196/11293 ◽  
2018 ◽  
Vol 20 (12) ◽  
pp. e11293 ◽  
Author(s):  
Brian McMillan ◽  
Robert Eastham ◽  
Benjamin Brown ◽  
Richard Fitton ◽  
David Dickinson
Keyword(s):  
Primary Care ◽  
United Kingdom ◽  
Primary Care Patient ◽  
Research Priorities ◽  
Care Patient ◽  
Future Research ◽  
Patient Records ◽  
The United Kingdom

scholarly journals Nature and type of patient-reported safety incidents in primary care: cross-sectional survey of patients from Australia and England

BMJ Open ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. e042551
Author(s):  
Andrea L Hernan ◽  
Sally J Giles ◽  
Andrew Carson-Stevens ◽  
Mark Morgan ◽  
Penny Lewis ◽  
...  
Keyword(s):  
Primary Care ◽  
Primary Care Patient ◽  
Care Patient ◽  
System Level ◽  
Service Improvement ◽  
Cross Sectional ◽  
Positive Effects ◽  
Contributory Factors ◽  
Safety Incident ◽  
Patient Reported

BackgroundPatient engagement in safety has shown positive effects in preventing or reducing adverse events and potential safety risks. Capturing and utilising patient-reported safety incident data can be used for service learning and improvement.ObjectiveThe aim of this study was to characterise the nature of patient-reported safety incidents in primary care.DesignSecondary analysis of two cross sectional studies.ParticipantsAdult patients from Australian and English primary care settings.MeasuresPatients’ self-reported experiences of safety incidents were captured using the validated Primary Care Patient Measure of Safety questionnaire. Qualitative responses to survey items were analysed and categorised using the Primary Care Patient Safety Classification System. The frequency and type of safety incidents, contributory factors, and patient and system level outcomes are presented.ResultsA total of 1329 patients (n=490, England; n=839, Australia) completed the questionnaire. Overall, 5.3% (n=69) of patients reported a safety incident over the preceding 12 months. The most common incident types were administration incidents (n=27, 31%) (mainly delays in accessing a physician) and incidents involving diagnosis and assessment (n=16, 18.4%). Organisation of care accounted for 27.6% (n=29) of the contributory factors identified in the safety incidents. Staff factors (n=13, 12.4%) was the second most commonly reported contributory factor. Where an outcome could be determined, patient inconvenience (n=24, 28.6%) and clinical harm (n=21, 25%) (psychological distress and unpleasant experience) were the most frequent.ConclusionsThe nature and outcomes of patient-reported incidents differ markedly from those identified in studies of staff-reported incidents. The findings from this study emphasise the importance of capturing patient-reported safety incidents in the primary care setting. The patient perspective can complement existing sources of safety intelligence with the potential for service improvement.

scholarly journals Evaluation of the First Contact Physiotherapy (FCP) model of primary care: Patient characteristics and outcomes

Physiotherapy ◽  
2021 ◽  
Author(s):  
S. Stynes ◽  
K.P. Jordan ◽  
J.C. Hill ◽  
G. Wynne-Jones ◽  
E. Cottrell ◽  
...  
Keyword(s):  
Primary Care ◽  
Primary Care Patient ◽  
Patient Characteristics ◽  
Care Patient ◽  
First Contact

Use of a Deprescribing Tool in an Interdisciplinary Primary-Care Patient-Aligned Care Team

2022 ◽  
Vol 37 (1) ◽  
pp. 34-43
Author(s):  
Makayla W. Nelson ◽  
Tara N. Downs ◽  
Gina M. Puglisi ◽  
Brent A. Simpkins ◽  
Amy Schmelzer Collier
Keyword(s):  
Primary Care ◽  
Adverse Drug Events ◽  
Primary Care Patient ◽  
Care Patient ◽  
Care Team ◽  
Record System ◽  
Cost Avoidance ◽  
Increased Risk ◽  
Medication Reviews ◽  
Va Health Care System

Objective: To pilot the VIONE approach in a single Primary Care Patient Aligned Care Team (PACT). The authors aim for the Clinical Pharmacy Specialist (CPS) to perform 20 comprehensive medication reviews (CMRs) and the pilot PACT physician (PCP) to complete 200 VIONE discontinuations. Cost avoidance and CPS recommendations will also be analyzed. Polypharmacy is associated with increased risk of adverse drug events, falls, hospitalizations, and death. VIONE is a deprescribing tool that assists providers in identifying inappropriate medications. Design: Quality Improvement Setting: Single VA Health Care System (VAHCS) Participants: High-risk veterans in pilot PACT Interventions: The CPS educated the PCP regarding VIONE methodology and assisted with CMRs. When deprescribing was warranted, VIONE discontinuation reasons were selected in the Computerized Patient Record System (CPRS). Data were electronically stored in a national dashboard. Results: The authors identified 231 veterans at risk for polypharmacy-related adverse events. The PCP and CPS were able to reach 99 veterans and make 136 medication discontinuations between September 1, 2019, and March 1, 2020. The CPS performed 20 CMRs, resulting in 90 deprescribing recommendations. Thirty-eight CPS recommendations were accepted and contributed $18,835.95 to the sum annualized cost avoidance of $21,904.80. Conclusion: The VIONE methodology was successfully implemented in the pilot PACT. The utilization of the CPS was associated with an increased average number of medication discontinuations per veteran and contributed to cost avoidance.

VALIDITY OF PRIMARY CARE PATIENT SELF-REPORT OF ABNORMAL (BUT NOT CANCER) PROSTATE BIOPSY RESULTS

2004 ◽  
Vol 172 (6 Part 1) ◽  
pp. 2366-2368 ◽  
Author(s):  
MARY McNAUGHTON-COLLINS ◽  
MICHAEL J. BARRY ◽  
JEAN-FRANCOIS CAUBET ◽  
DAVID W. BATES ◽  
JEONG MIN LEE ◽  
...  
Keyword(s):  
Primary Care ◽  
Prostate Biopsy ◽  
Primary Care Patient ◽  
Care Patient ◽  
Self Report ◽  
Cancer Prostate

scholarly journals The Differences in the Prevalence of Cardiovascular Disease, Its Risk Factors, and Achievement of Therapeutic Goals among Urban and Rural Primary Care Patients in Poland: Results from the LIPIDOGRAM 2015 Study

2021 ◽  
Vol 10 (23) ◽  
pp. 5656
Author(s):  
Krzysztof Studziński ◽  
Tomasz Tomasik ◽  
Adam Windak ◽  
Maciej Banach ◽  
Ewa Wójtowicz ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Primary Care ◽  
Rural Areas ◽  
Urban Areas ◽  
Primary Care Physicians ◽  
Primary Care Patient ◽  
Care Patient ◽  
Cross Sectional ◽  
Therapeutic Goals ◽  
Rural Primary Care

A nationwide cross-sectional study, LIPIDOGRAM2015, was carried out in Poland in the years 2015 and 2016. A total of 438 primary care physicians enrolled 13,724 adult patients that sought medical care in primary health care practices. The prevalence of hypertension, diabetes mellitus, dyslipidaemia, and CVD were similar in urban and rural areas (49.5 vs. 49.4%; 13.7 vs. 13.1%; 84.2 vs. 85.2%; 14.4 vs. 14.2%, respectively). The prevalence of obesity (32.3 vs. 37.5%, p < 0.01) and excessive waist circumference (77.5 vs. 80.7%, p < 0.01), as well as abdominal obesity (p = 43.2 vs. 46.4%, p < 0.01), were higher in rural areas in both genders. Mean levels of LDL-C (128 vs. 130 mg/dL, p = 0.04) and non-HDL-C (147 vs. 148 mg/dL, p = 0.03) were slightly higher in rural populations. Altogether, 14.3% of patients with CVD from urban areas and 11.3% from rural areas reached LDL <70 mg/dL (p = 0.04). There were no important differences in the prevalence of hypertension, diabetes, dyslipidaemia, and CVD, or in mean levels of blood pressure, cholesterol fractions, glucose, and HbA1c between Polish urban and rural primary care patient populations. A high proportion of patients in cities and an even-higher proportion in rural areas did not reach the recommended targets for blood pressure, LDL-C, and HbA1c, indicating the need for novel CVD-prevention programs.

Sign in / Sign up

Export Citation Format

Share Document