Related Experiment Video
Updated: May 16, 2026
Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
Does better coding mean better care? A study of CKD coding and management indicators in Hampshire and Isle of Wight
Bhargav Raut1, Kristin Veighey2, Dianna Smith1
1University of Southampton, Southampton, UK.
Insights
Accurate chronic kidney disease (CKD) coding in primary care did not correlate with better patient management or care quality. Other factors like practice processes and patient engagement appear more influential for CKD outcomes.
Area of Science:
- Primary Care Medicine
- Nephrology
- Health Informatics
Background:
- Accurate identification and management of chronic kidney disease (CKD) are crucial in primary care.
- The relationship between CKD coding accuracy and actual care quality in Hampshire and Isle of Wight (HIOW) practices is not well understood.
- Improved coding may aid case finding, but its impact on clinical management quality requires investigation.
Purpose of the Study:
- To examine associations between the accuracy of CKD coding at the practice level and key indicators of care quality.
- To investigate the relationship between CKD coding accuracy and socioeconomic deprivation across general practices in HIOW.
- To determine if practice-level CKD coding accuracy predicts clinical management quality.
Main Methods:
- An ecological cross-sectional study analyzed data from 130 general practices in HIOW.
- Variables included proportion of uncoded CKD, blood pressure control, RAAS inhibitor prescribing, lipid-lowering therapy, and Index of Multiple Deprivation (IMD) rank.
- Statistical analyses involved Spearman's rank correlation and multivariable linear regression to assess associations.
Main Results:
- A significant variation in the proportion of uncoded CKD (0.03%–3.49%) was observed across practices.
- Weak or absent correlations were found between uncoded CKD rates and socioeconomic deprivation (IMD rank), patient demographics (male proportion), and care quality indicators.
- Multivariable analysis revealed no significant predictors associated with variations in uncoded CKD rates.
Conclusions:
- CKD coding accuracy in primary care practices does not appear to reflect the quality of patient management or care.
- Factors beyond coding precision, such as internal practice processes and patient involvement, likely play a more substantial role in CKD care outcomes.
- Future efforts to improve CKD care quality should consider multifaceted approaches beyond solely enhancing coding accuracy.
Background:
Chronic kidney disease (CKD) requires accurate identification and consistent management in primary care, but the extent to which coding accuracy reflects care quality across Hampshire and Isle of Wight (HIOW) practices remains uncertain. Accurate coding may support case finding and monitoring, yet whether improved coding aligns with better clinical management is unclear.
Aim:
To assess associations between practice-level CKD coding accuracy, care quality indicators, and socioeconomic deprivation across HIOW general practices.
Method:
An ecological cross-sectional study included 130 practices using publicly available data from CVD Prevent, NHS Digital, and the Ministry of Housing, Communities & Local Government. Aggregated variables comprised postcode, male patient percentage, proportion of uncoded CKD (primary outcome), blood pressure control, RAAS inhibitor prescribing, lipid-lowering therapy, and Index of Multiple Deprivation (IMD) rank. Spearman's rank correlation assessed non-parametric associations between uncoded CKD and predictors. Simple linear regressions were performed for each variable, followed by multiple regression incorporating significant univariable predictors, with residual diagnostics confirming model assumptions.
Results:
Uncoded CKD ranged from 0.03% to 3.49% across practices, revealing wide variation. Correlations between uncoded CKD and IMD rank, male proportion, and management indicators were weak or absent. In multivariable analysis, no predictors were significantly associated with uncoded CKD rates.
Conclusion:
Better coding did not correspond with improved CKD management or care quality across practices. This suggests that factors beyond coding accuracy, such as practice processes and patient engagement, may have greater influence on care outcomes.
Related Concept Videos
01:15Methods of Documentation VI: Case Management Model
For example, a patient with a chronic illness...
01:18Chronic Kidney Disease IV: Nursing Management
01:27Nursing Clinical Information System
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include:
01:28Chronic Kidney Disease III: Interprofessional Care
01:23Methods of Documentation V: CBE
In CBE, healthcare professionals establish predefined standards of practice that define what constitutes...
01:29Documentation in Long-Term and Home Healthcare Setting
Long-Term Care Facilities