Exploring the Impact of Obesity on Health Care Resources and Coding in the Acute Hospital Setting: A Feasibility Study.

Obesity is costly, yet there have been few attempts to estimate the actual costs of providing hospital care to the obese inpatient. This study aimed to test the feasibility of measuring obesity-related health care costs and accuracy of coding data for acute inpatients. A prospective observational study was conducted over three weeks in June 2018 in a single orthopaedic ward of a metropolitan tertiary hospital in Queensland, Australia. Demographic data, anthropometric measurements, clinical characteristics, cost of hospital encounter and coding data were collected. Complete demographic, anthropometric and clinical data were collected for all 18 participants. Hospital costing reports and coding data were not available within the study timeframe. Participant recruitment and data collection were resource-intensive, with mobility assistance required to obtain anthropometric measurements in more than half of the participants. Greater staff time and costs were seen in participants with obesity compared to those without obesity (obesity: body mass index ≥ 30), though large standard deviations indicate wide variance. Data collected suggest that obesity-related cost and resource use amongst acute inpatients require further exploration. This study provides recommendations for protocol refinement to improve the accuracy of data collected for future studies measuring the actual cost of providing hospital care to obese inpatients.

Underreporting of Obesity in Hospital Inpatients: A Comparison of Body Mass Index and Administrative Documentation in Australian Hospitals.

Despite its high prevalence, there is no systematic approach to documenting and coding obesity in hospitals. This study aimed to determine the prevalence of obesity among inpatients, the proportion of obese patients recognised as obese by hospital administration, and the cost associated with their admission. A cross-sectional study was undertaken in three hospitals in Queensland, Australia. Inpatients present on three audit days were included in this study. Data collected were age, sex, height, and weight. Body mass index (BMI) was calculated in accordance with the World Health Organization's definition. Administrative data were sourced from hospital records departments to determine the number of patients officially documented as obese. Total actual costing data were sourced from hospital finance departments. From a combined cohort of n = 1327 inpatients (57% male, mean (SD) age: 61 (19) years, BMI: 28 (9) kg/m2), the prevalence of obesity was 32% (n = 421). Only half of obese patients were recognised as obese by hospital administration. A large variation in the cost of admission across BMI categories prohibited any statistical determination of difference. Obesity is highly prevalent among hospital inpatients in Queensland, Australia. Current methods of identifying obesity for administrative/funding purposes are not accurate and would benefit from reforms to measure the true impact of healthcare costs from obesity.

Assessing the Concurrent Validity and Interrater Reliability of Patient-Led Screening Using the Malnutrition Screening Tool in the Ambulatory Cancer Care Outpatient Setting.

BACKGROUND: The prevalence of malnutrition in cancer patients is reported as high as 65%; however, malnutrition screening is often substandard. The Malnutrition Screening Tool (MST) has been validated for use by health care professionals to detect at-risk patients; however, there is a gap in the literature regarding validation of patient-led MST screening. OBJECTIVE: The aim of the study was to assess the concurrent validity of patient-led MST against the Subjective Global Assessment (SGA) and the interrater reliability of patient-led MST against dietitian-led MST in patients attending ambulatory cancer care services for chemotherapy or supportive treatments. DESIGN/PARTICIPANTS: A single-site diagnostic accuracy study of 201 patients between May and June 2017 attending the ambulatory cancer care setting at an Australian metropolitan tertiary hospital in Queensland. MAIN OUTCOME MEASUREMENTS: The primary outcome measures were concurrent validity and interrater reliability of MST scores as determined by patients (patient-MST), dietitians (dietitian-MST), and SGA as completed by the dietitian. STATISTICAL ANALYSIS: Concurrent validity of patient-led MST scores against the SGA was determined using specificity, sensitivity, positive predictive values, and negative predictive values. Interrater reliability of patient-MST and dietitian-MST was assessed using κ coefficient. RESULTS: The ability of the patient-led MST scores (0 to 1 vs 2 to 5) to indicate nutrition status was found to have a sensitivity of 94% (95% CI 81% to 99%), a specificity of 86% (95% CI 79% to 91%), and an area under the receiver operating characteristic curve of 0.93 (95% CI 0.89 to 0.96). The positive predictive value was 59% (95% CI 45% to 71%), and the negative predictive value was 99% (95% CI 95% to 100%). A weighted κ of 0.83 (95% CI 0.82 to 0.87) between patient-MST and dietitian-MST was found. CONCLUSION: Patient-led MST screening is a reliable and valid measure that can accurately identify ambulatory cancer care patients as at risk or not at risk of malnutrition.

Reliability of Patient-Led Screening with the Malnutrition Screening Tool: Agreement between Patient and Health Care Professional Scores in the Cancer Care Ambulatory Setting.

BACKGROUND: The prevalence of malnutrition in patients with cancer is reported as high as 60% to 80%, and malnutrition is associated with lower survival, reduced response to treatment, and poorer functional status. The Malnutrition Screening Tool (MST) is a validated tool when administered by health care professionals; however, it has not been evaluated for patient-led screening. OBJECTIVES: This study aims to assess the reliability of patient-led MST screening through assessment of inter-rater reliability between patient-led and dietitian-researcher-led screening and intra-rater reliability between an initial and a repeat patient screening. DESIGN/PARTICIPANTS: This cross-sectional study included 208 adults attending ambulatory cancer care services in a metropolitan teaching hospital in Queensland, Australia, in October 2016 (n=160 inter-rater reliability; n=48 intra-rater reliability measured in a separate sample). MAIN OUTCOME MEASUREMENTS: Primary outcome measures were MST risk categories (MST 0-1: not at risk, MST ≥2: at risk) as determined by screening completed by patients and a dietitian-researcher, patient test-retest screening, and patient acceptability. STATISTICAL ANALYSIS: Percent and chance-corrected agreement (Cohen's kappa coefficient, κ) were used to determine agreement between patient-MST and dietitian-MST (inter-rater reliability) and MST completed by patient on admission to unit (patient-MSTA) and MST completed by patient 1 to 3 hours after completion of initial MST (patient-MSTB) (intra-rater reliability). RESULTS: High inter-rater reliability and intra-rater reliability were observed. Agreement between patient-MST and dietitian-MST was 96%, with "almost perfect" chance-adjusted agreement (κ=0.92, 95% CI 0.84 to 0.97). Agreement between repeated patient-MSTA and patient-MSTB was 94%, with "almost perfect" chance-adjusted agreement (κ=0.88, 95% CI 0.71 to 1.00). Based on dietitian-MST, 33% (n=53) of patients were identified as being at risk for malnutrition, and 40% of these reported not seeing a dietitian. Of 156 patients who provided feedback, almost all reported that the MST was clear (92%), questions were easy to understand (95%), and completion time was ≤5 minutes (99%). CONCLUSION: Patient-led screening with the MST is reliable and well accepted by patients. Patient-led screening in the cancer care ambulatory setting has the potential to improve patient autonomy and screening completion rates.