Parental perception of neonatal retro-transfers from level 3 to level 2 neonatal intensive care units

OBJECTIVE

The primary objective of this study was to determine the overall parental satisfaction with retro-transfers from a level 3 to a level 2 Neonatal Intensive Care Unit (NICU). The secondary objectives were to explore factors that caused parental satisfaction associated with retro-transfer and investigate the factors that could be modified to improve the retro-transfer process.

METHODS

This is a retrospective cross-sectional study. Questionnaires were mailed to all parents of infants transferred from level 3 to level 2 NICUs from 2016 to 2017. Independent samples t-tests, Spearman's rank correlations, and multiple logistic regression analyses were conducted to identify factors associated with parental retro-transfer satisfaction.

RESULTS

Our response rate was 39.1% (n = 140). Of all parents, 64.29% parents were extremely satisfied with the overall retro-transfer process. In our bivariate analyses, multiple factors were found to be strongly associated with parental retro-transfer satisfaction, including parental level of education, the amount of notice and rationale given for the retro-transfer and the level of parental communication and engagement with their infant's healthcare team before and after transfer. Multiple logistic regression analyses revealed that when questions regarding the retro-transfer were answered and the level 2 NICU team demonstrated a concrete understanding of the infant's medical issues and history, parental satisfaction increased.

CONCLUSION

Majority of parents were satisfied with the retro-transfer process. However, close collaboration and ongoing and open lines of communication between parents and the level 3 NICU healthcare teams will increase parental retro-transfer satisfaction rates.

Estimating the completeness of physician billing claims for diabetes case ascertainment using population-based prescription drug data

Introduction

Changes in physician reimbursement policies may hinder the collection of billing claims in administrative data; this can result in biased estimates of disease prevalence and incidence. However, the magnitude of data loss is largely unknown. The purpose of this study was to estimate completeness of capture of disease cases for Manitoba physicians paid by fee-for-service (FFS) and non-fee-for-service (NFFS) methods.

Methods

Manitoba’s administrative data were used to identify a cohort (Z 20 years) with a new diabetes medication between 1 April, 2007, and 31 March, 2009. Cohort members were classified by payment method of the prescribing physician (i.e. FFS vs. NFFS). The cohort was then classified as missing or not missing a diabetes diagnosis using physician claims and hospital records. Then, w2 statistics were used to test for differences in the characteristics of the two groups.

Results

The cohort consisted of 12 394 individuals; 86.4% had a prescription for a diabetes medication from an FFS physician. A total of 1172 physicians (81.8% FFS) prescribed these medications for the cohort. Cohort members with a prescription from an FFS physician were older and more likely to reside in the urban Winnipeg health region than those with a prescription from a NFFS physician. A greater percentage of NFFS physicians’ cases were missing a diabetes diagnosis (18.7% vs. 14.9% for FFS physicians).

Conclusion

The results suggest minimal loss of physician claims associated with remuneration policies in Manitoba. This method of assessing data completeness could be applied to other chronic diseases and jurisdictions to estimate completeness.

Estimating the completeness of physician billing claims for diabetes case ascertainment using population-based prescription drug data

INTRODUCTION

Changes in physician reimbursement policies may hinder the collection of billing claims in administrative data; this can result in biased estimates of disease prevalence and incidence. However, the magnitude of data loss is largely unknown. The purpose of this study was to estimate completeness of capture of disease cases for Manitoba physicians paid by fee-for-service (FFS) and non-fee-for-service (NFFS) methods.

METHODS

Manitoba's administrative data were used to identify a cohort (≥ 20 years) with a new diabetes medication between 1 April, 2007, and 31 March, 2009. Cohort members were classified by payment method of the prescribing physician (i.e. FFS vs. NFFS). The cohort was then classified as missing or not missing a diabetes diagnosis using physician claims and hospital records. Then, χ2 statistics were used to test for differences in the characteristics of the two groups.

RESULTS

The cohort consisted of 12 394 individuals; 86.4% had a prescription for a diabetes medication from an FFS physician. A total of 1172 physicians (81.8% FFS) prescribed these medications for the cohort. Cohort members with a prescription from an FFS physician were older and more likely to reside in the urban Winnipeg health region than those with a prescription from a NFFS physician. A greater percentage of NFFS physicians' cases were missing a diabetes diagnosis (18.7%vs. 14.9% for FFS physicians).

CONCLUSION

The results suggest minimal loss of physician claims associated with remuneration policies in Manitoba. This method of assessing data completeness could be applied to other chronic diseases and jurisdictions to estimate completeness.