Unknown

Dataset Information

A study protocol for a predictive model to assess population-based avoidable hospitalization risk: Avoidable Hospitalization Population Risk Prediction Tool (AvHPoRT).


ABSTRACT:

Introduction

Avoidable hospitalizations are considered preventable given effective and timely primary care management and are an important indicator of health system performance. The ability to predict avoidable hospitalizations at the population level represents a significant advantage for health system decision-makers that could facilitate proactive intervention for ambulatory care-sensitive conditions (ACSCs). The aim of this study is to develop and validate the Avoidable Hospitalization Population Risk Tool (AvHPoRT) that will predict the 5-year risk of first avoidable hospitalization for seven ACSCs using self-reported, routinely collected population health survey data.

Methods and analysis

The derivation cohort will consist of respondents to the first 3 cycles (2000/01

SUBMITTER: Rosella LC 

PROVIDER: S-EPMC10845544 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature