A PHP Error was encountered

Severity: Warning

Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests

Filename: helpers/my_audit_helper.php

Line Number: 176

Backtrace:

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML

File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global

File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword

File: /var/www/html/index.php
Line: 316
Function: require_once

Waiting for surgery after hip fracture-Health and/or economic risk? | LitMetric

Waiting for surgery after hip fracture-Health and/or economic risk?

Int J Health Plann Manage

Basel Academy for Quality and Research in Medicine, Basel, Switzerland.

Published: September 2024

AI Article Synopsis

  • Patients waiting for hip surgery often have a tough time, and it can affect their recovery and how long they stay in the hospital.
  • A study looked at hospital records from Switzerland to understand how waiting times, patient details, and costs all connect during the surgery process for hip fractures.
  • Although waiting times for surgery got shorter over the years, the overall time patients spent in the hospital didn’t change much, meaning there are still ways to improve how waiting times are managed.

Article Abstract

Objectives: Waiting for surgery is a disconcerting experience. It can have a negative impact on patients' outcomes and length of stay (LOS) as driver for treatment costs. Process-optimisation may be a strategy to improve quality and cost-efficacy. The study investigates the correlation between waiting for hip fracture surgery and patient characteristics, organisational variables, outcomes, LOS, and the distribution of waiting times and LOS over time, including cost estimates. Thereby the study aims to identify the potential for organisational improvements with respect to managing the waiting time.

Methods: Ten-year routine health data (patient characteristics and follow-up information) and process-indicators that is, waiting time and LOS from a Swiss trauma-centre were analysed retrospectively. Cost-estimates were calculated based on Swiss diagnosis related groups and daily costs to evaluate hospital revenues.

Results: In total, 2572 patients aged ≥60 years with low-energy hip fractures were included. Waiting times >48 h were associated with sub-optimal outcomes. Over the years long waiting times decreased. This reduction was not reflected by a reduction in LOS which remained stable around 10 days, primarily driven by late discharge to in-patient rehabilitation. Reimbursement persisted at an average revenue in the low 4-5-digit range, depending on implant costs.

Conclusions: While there has been a reduction of waiting times, this has not translated into a reduction of LOS or potential savings in health care costs, due to the various dependencies along the patient journey. Managing waiting times may be an area for improvement, increasing cost-efficacy, especially since long waiting times are still associated with inferior outcomes and LOS.

Download full-text PDF

Source
http://dx.doi.org/10.1002/hpm.3851DOI Listing

Publication Analysis

Top Keywords

waiting times
24
waiting
11
waiting surgery
8
patient characteristics
8
outcomes los
8
managing waiting
8
long waiting
8
reduction los
8
los
7
times
6

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!