Quality of care using nursing-sensitive indicators in major lower extremity amputation patients: Insights from the Kolding KOhort (KOKO) database
Year: 2026
Type: article
Study design: Observational Study
Abstract: AIM: To describe the structure and content of the population-based KOKO database and to report demographics and quality of care, assessed by nursing-sensitive indicators, in patients with major lower extremity amputation from 2019 to 2022. DESIGN: A cross-sectional study. METHODS: The Kolding KOhort (KOKO) database was established in 2019 to register patients undergoing initial major lower extremity amputation and includes data on quality indicators and prognostic variables. Quality of nursing care was assessed using indicators related to the musculoskeletal system, skin integrity, pain, nutrition, and elimination. Moreover, data on postoperative complications, 30-day readmission and mortality were collected. All data were prospectively extracted from medical records. RESULTS: The cohort comprised 225 patients (62% men; median age 72 years); 54% lived alone. Trans-femoral amputations accounted for 75% of procedures. Pressure ulcer screening was performed in 88%, and 55% received air mattress support. Weight was recorded in 85% at admission, 46% post-amputation, and 44% at discharge. Across postoperative day 1-3, 50-53% of patients were mobilized to a chair. Sufficient stump healing was observed in 50% by day 5 and 57% at discharge. Nearly half reported "no to mild pain" at two time points. Nutritional targets for energy and protein were calculated in 47% and 45% of patients, respectively. Infections (36%) and constipation (28%) were common complications; in-hospital mortality was 7%. CONCLUSION: This study provides the first systematic overview of quality of care among patients undergoing major lower extremity amputation using nursing-sensitive indicators. While strengths were identified, gaps remain in pain management, wound care, and nutrition.
Language: English
Subfield: Endocrinology, Diabetes and Metabolism
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $3,160
OpenAlex ID: W7165045603
