Using a data entry clerk to improve data quality in primary care
electronic medical records: a pilot study

Greiver, Michelle; Barnsley, Jan; Aliarzadeh, Babak; Krueger, Paul; Moineddin, Rahim; Butt, Debra A.; Dolabchian, Edita; Jaakkimainen, Liisa; Keshavjee, Karim; White, David G.; Kaplan, David

doi:10.14236/jhi.v19i4.819

Cited by 14 publications

(15 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Studies conducted in Canada [22,23], Italy [24] and the UK [25] have demonstrated methods to improve the quality and accuracy of practice-based disease surveillance models. Keshavjee et al [22] trained and employed ‘data managers’ in an attempt to standardise disease coding and de-identify patient information.…”

Section: Discussionmentioning

confidence: 99%

Using data from patient interactions in primary care for population level chronic disease surveillance: The Sentinel Practices Data Sourcing (SPDS) project

et al. 2014

View full text Add to dashboard Cite

BackgroundPopulation health planning within a health district requires current information on health profiles of the target population. Information obtained during primary care interactions may provide a valuable surveillance system for chronic disease burden. The Sentinel Practices Data Sourcing project aimed to establish a sentinel site surveillance system to obtain a region-specific estimate of the prevalence of chronic diseases and mental health disorders within the Illawarra-Shoalhaven region of New South Wales, Australia.MethodsIn September 2013, de-identified information for all patient interactions within the preceding 24 months was extracted and collated using a computerised chronic disease management program that has been designed for desktop application (Pen Computer Systems Clinical Audit Tool: ™ (PCS CAT)). Collated patient data included information on all diagnosed pathologies and mental health indicators, clinical variables such as anthropometric measures, and patient demographic variables such as age, sex, geographical location of residence and indigenous status. Age-standardised prevalence of selected health conditions was calculated.ResultsOf the 52 general practices within the 6 major Statistical Local Areas (SLAs) of the health district that met the inclusion criteria, 17 consented to participate in the study, yielding data on n = 152,767 patients, and representing 39.7% of the regional population. Higher than national average estimates were found for the age-adjusted prevalence of chronic diseases such as obesity/overweight (65.9% vs 63.4%), hypertension (11.9% vs 10.4%) and anxiety disorders (5.0% vs 3.8%), but a lower than national average age-adjusted prevalence of asthma (8.0% vs 10.2%) was also identified.ConclusionsThis proof-of-concept study has demonstrated that the scope of data collected during patient visits to their general practitioners (GPs), facilitated through the Medicare-funded primary health care system in Australia, provides an opportunity for monitoring of chronic disease prevalence and its associated risk factors at the local level. Selection of sentinel sites that are representative of the population being served will facilitate an accurate and region-specific system for the purpose of population health planning at the primary care level.

show abstract

Section: Discussionmentioning

confidence: 99%

Using data from patient interactions in primary care for population level chronic disease surveillance: The Sentinel Practices Data Sourcing (SPDS) project

et al. 2014

View full text Add to dashboard Cite

show abstract

“…During the pilot for this project, we found that a simple approach minimizing physician workload was not costly and was acceptable to the physicians involved 52. We used their expertise only to verify cases, with no additional training; this did not interfere with clinical encounters.…”

Section: Discussionmentioning

confidence: 99%

“…The organisation we studied was interested in data quality and had already made efforts to implement some coding for chronic conditions prior to the project 52. Data clerks had entered the diagnostic code for diabetes in the previous year.…”

Section: Discussionmentioning

confidence: 99%

“…The FHT chose the codes most commonly used across CPCSSN for each condition as their preferred codes. Following a feasibility project,52 the DPT was used to generate lists of patients that met CPCSSN case definitions and that did not have the approved code in their problem list. Each patient was associated with a physician defined as being most responsible for their primary care in the EMR.…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Implementation of data management and effect on chronic disease coding in a primary care organisation: A parallel cohort observational study

Greiver

Wintemute

Aliarzadeh

et al. 2016

jhi

Self Cite

View full text Add to dashboard Cite

show abstract

“…(2) A second pilot study suggests that a data entry clear can significantly improve data quality. 8 Data entry by clerical staff is the norm in much of secondary care -we should consider this as a possibility to rapidly improve data quality in primary care. (3) An update about a research database (THINThe Health Improvement Network) 9 describes the similarity of the prevalence of conditions in this data base with those reported in national quality improvement campaigns.…”

Section: Record Qualitymentioning

confidence: 99%

Making health information and communications technology (ICT) relevant and usable for quality improvement and research

Lusignan¹

2011

Journal of Innovation in Health Informatics

View full text Add to dashboard Cite

Using a data entry clerk to improve data quality in primary care electronic medical records: a pilot study

Cited by 14 publications

References 32 publications

Using data from patient interactions in primary care for population level chronic disease surveillance: The Sentinel Practices Data Sourcing (SPDS) project

Using data from patient interactions in primary care for population level chronic disease surveillance: The Sentinel Practices Data Sourcing (SPDS) project

Implementation of data management and effect on chronic disease coding in a primary care organisation: A parallel cohort observational study

Making health information and communications technology (ICT) relevant and usable for quality improvement and research

Contact Info

Product

Resources

About