scholarly journals Risk Predictors and Symptom Features of Long COVID Within a Broad Primary Care Patient Population Including Both Tested and Untested Patients

2021 ◽  
Vol Volume 12 ◽  
pp. 93-104
Author(s):  
Rupert Jones ◽  
Andrew Davis ◽  
Brooklyn Stanley ◽  
Steven Julious ◽  
Dermot Ryan ◽  
...  
Keyword(s):  
Primary Care ◽  
Patient Population ◽  
Primary Care Patient ◽  
Care Patient ◽  
Risk Predictors

scholarly journals Patient Views on Reminder Letters for Influenza Vaccinations in an Older Primary Care Patient Population

2008 ◽  
Vol 99 (2) ◽  
pp. 133-136 ◽  
Author(s):  
Kelly K. Anderson ◽  
Rolf J. Sebaldt ◽  
Lynne Lohfeld ◽  
Tina Karwalajtys ◽  
Afisi S. Ismaila ◽  
...  
Keyword(s):  
Primary Care ◽  
Patient Population ◽  
Primary Care Patient ◽  
Care Patient ◽  
Patient Views ◽  
Reminder Letters ◽  
Influenza Vaccinations

Patterns of preventive health services in rheumatoid arthritis patients compared to a primary care patient population

2010 ◽  
Vol 31 (9) ◽  
pp. 1159-1165 ◽  
Author(s):  
Androniki Bili ◽  
Lisa L. Schroeder ◽  
Lindsay J. Ledwich ◽  
H. Lester Kirchner ◽  
Eric D. Newman ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Primary Care ◽  
Health Services ◽  
Patient Population ◽  
Primary Care Patient ◽  
Preventive Health Services ◽  
Care Patient ◽  
Preventive Health

scholarly journals Racial and Economic Disparities in Diabetes in a Large Primary Care Patient Population

2016 ◽  
Vol 26 (1) ◽  
pp. 85 ◽  
Author(s):  
Danielle L. Heidemann ◽  
Nicholas A. Joseph ◽  
Aishwarya Kuchipudi ◽  
Denise White Perkins ◽  
Sean Drake
Keyword(s):  
Primary Care ◽  
Glycemic Control ◽  
Patient Population ◽  
Primary Care Patient ◽  
Economic Status ◽  
Care Patient ◽  
Income Levels ◽  
Uncontrolled Diabetes ◽  
Black Patients ◽  
Large Primary

<p><strong>Objective: </strong>We sought to determine if, after adjusting for economic status, race is an independent risk factor for glycemic control among diabetic patients in a large primary care patient population.</p><p><strong>Design, Setting, Participants: </strong>We performed a retrospective chart review of 264,000 primary care patients at our large, urban academic medical center to identify patients with a diagnosis of diabetes (n=25,123). Zip code was used to derive median income levels using United States Census Bureau demographic information. Self-reported race was extracted from registration data.<strong></strong></p><p><strong>Main Outcome Measures: </strong>The prevalence of diabetes, average glycated hemoglobin (A1c), and prevalence of uncontrolled diabetes of White and Black patients at all income levels were determined.<strong></strong></p><p><strong>Results: </strong>White patients had a lower average A1c level and a lower prevalence of diabetes than Black patients in all income quartiles (P&lt;.001).  Among White patients, the prevalence of diabetes (P&lt;.001), uncontrolled diabetes (<em>P</em>&lt;.001), and A1c level (P=.014) were inversely proportional to income level.  No significant difference in the prevalence of diabetes (P=.214), A1c level (P=.282), or uncontrolled diabetes related to income was seen in black patients (P=.094).</p><p><strong>Conclusions: </strong>Race had an independent association with diabetes prevalence and glycemic control. Our study does not support two prominent theories that economic and insurance status are the main factors in diabetes disparities, as we attempted to control for economic status and nearly every patient had insurance.  It will be important for future analysis to explore how healthcare system factors impact these observed gaps in quality. <em>Ethn Dis. </em>2016;26(1):85-90; doi: 10.18865/ed.26.1.85</p>

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.

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