Results 1 to 10 of about 233,659 (210)

Palliative care needs in patients hospitalized with heart failure (PCHF) study: rationale and design [PDF]

, 2015
Aims The primary aim of this study is to provide data to inform the design of a randomized controlled clinical trial (RCT) of a palliative care (PC) intervention in heart failure (HF).
Campbell, Ross T., Davidson, Patricia M., Denvir, Martin A., Ford, Ian, Gardner, Roy S., Hogg, Karen J., Jackson, Colette E., Johnson, Miriam J., McMurray, John J.V., Petrie, Mark C., Wright, Ann   +10 more
core   +3 more sources

HEALTHCARE FAILURE MODE AND EFFECT ANALYSIS DESIGN FOR INDONESIA HOSPITAL LABORATORIES: A LITERATURE REVIEW

Jurnal Administrasi Kesehatan Indonesia, 2021
Background: Error rate in medical laboratories is very low. Only one error is identified every 330–1,000 events. The goal of laboratory services should outweigh patient safety in a well-structured manner. Healthcare Failure Mode and Effect Analysis (HFMEA) is a proactive preventive method for identifying and evaluating potential failure.Aims: This ...
Salsabila, Zhafirah, Masyitoh, Masyitoh, Sjaaf, Amal Chalik, Partakusuma, Lia Gardenia   +3 more
openaire   +4 more sources

Comparative Ethics of Modern Payment Models

Voices in Bioethics, 2023
Photo by Marek Studzinski on Unsplash ABSTRACT Payment models directly impact the way patients experience care. Historically, payment model innovations have been examined mostly from economic, organizational, and public health lenses.
Jacob Riegler
doaj   +5 more sources

Incorporating development of a patient-reported outcome instrument in a clinical drug development program: examples from a heart failure program. [PDF]

, 2016
BackgroundPatient-reported outcome (PRO) measures can be used to support label claims if they adhere to US Food & Drug Administration guidance. The process of developing a new PRO measure is expensive and time-consuming.
Anatchkova, Milena, Chau, Dina, Malik, Fady I, Oko-Osi, Hafiz, Patrick, Donald L, Spertus, John, Teerlink, John R, von Maltzahn, Robyn, Wiklund, Ingela   +8 more
core   +1 more source

Identification and prioritisation of risks in a hospital pharmacy using healthcare failure mode and effect analysis [PDF]

European Journal of Hospital Pharmacy, 2017
The goals of this project included identifying the processes and subprocesses performed in hospital pharmacies, identifying potential adverse events, detecting failure modes and the causes of errors, prioritising the risks identified and designing a map of risks for hospital pharmacies.A task force composed of hospital pharmacy staff was committed to ...
Maria Ángeles Castro Vida, Juan Enrique Martínez de la Plata, José Antonio Morales-Molina, Juan José Pérez Lázaro, Pedro Acosta Robles   +4 more
openaire   +3 more sources

Applicability of Healthcare Failure Mode and Effects Analysis to Healthcare Epidemiology: Evaluation of the Sterilization and Use of Surgical Instruments [PDF]

Clinical Infectious Diseases, 2005
Healthcare Failure Mode and Effects Analysis (HFMEA) is a methodology for correcting latent system errors before they lead to adverse events. We examined the utility of HFMEA in evaluating the sterilization and use of surgical instruments. First, a multidisciplinary team graphed the process in a flow diagram.
R. A. Weinstein, D. R. Linkin, C. Sausman, L. Santos, C. Lyons, C. Fox, L. Aumiller, J. Esterhai, B. Pittman, E. Lautenbach   +9 more
openaire   +2 more sources

Assessing preventable hospitalisation indicators (APHID): protocol for a data-linkage study using cohort study and administrative data [PDF]

, 2012
Introduction Potentially preventable hospitalisation (PPH) has been adopted widely by international health systems as an indicator of the accessibility and overall effectiveness of primary care. The Assessing Preventable Hospitalisation InDicators (APHID)
Blyth, F.M., Douglas, K.M.A., Elliott, R.F., Jorm, L.R., Leyland, A.H., Redman, S.   +5 more
core   +2 more sources

Process evaluation for complex interventions in primary care: understanding trials using the normalization process model [PDF]

, 2007
Background: the Normalization Process Model is a conceptual tool intended to assist in understanding the factors that affect implementation processes in clinical trials and other evaluations of complex interventions.
A Nezu, A Oakley, A Strauss, B Blackwood, B Flyvbjerg, B Starfield, C Dowrick, C Dowrick, C Dowrick, C May, C May, C May, Carl R May, CB Stetler, Christopher F Dowrick, D Silverman, DA Richards, EM Rogers, F Badger, F Lloyd-Williams, F Lloyd-Williams, F Mair, FM Task, Frances S Mair, FS Mair, H Charles-Jones, I Ajzen, J Grimshaw, J Ogden, J Sturt, JE Barret, JGF Cleland, JK Ghali, JS Coleman, JS Hacker, K Gravel, K Hawton, L Mynors-Wallis, L Mynors-Wallis, L Robinson, LA Suchman, LH Harpole, M Eccles, M Lainscak, M Laurant, Medical Research Council, MK Davies, P Berger, P Lehoux, P Lehoux, RE Glasgow, S Cocksedge, S Flottorp, S Levine, S Stewart, S Stewart, SA Hunt, SG Riedel-Heller, SJ Tanenbaum, SM Campbell, SM Campbell, T Kendrick, T Morris, TJ Fararo, Tracy L Finch, WJ Katon   +65 more
core   +6 more sources

Assessment of Hospital Risks for Occupational Safety of Healthcare Staff against Covid-19 Using FMEA Method and Multi-Criteria Decision-Making Methods (Case study: Department of Infectious Diseases of Bu-Ali hospital in Zahedan)

بیمارستان, 2021
Introduction and purpose: Risk assessment is a necessity in high-risk work environments like hospitals. During epidemics, the need to maintain the health of healthcare staff increases as they are effective people in controlling the spread of the disease.
Neda Vahedi nezhad, Farzad Firouzi Jahantigh   +1 more
doaj  

Riociguat for the treatment of chronic thromboembolic pulmonary hypertension. [PDF]

, 2013
BACKGROUND: Riociguat, a member of a new class of compounds (soluble guanylate cyclase stimulators), has been shown in previous clinical studies to be beneficial in the treatment of chronic thromboembolic pulmonary hypertension. METHODS: In this phase 3,
CHEST-1 Study Group,, D'Armini, AM, Fritsch, A, Ghofrani, HA, Grimminger, F, Hoeper, MM, Jansa, P, Kim, NH, Mayer, E, Neuser, D, Simonneau, G, Wang, C, Weimann, G, Wilkins, MR   +13 more
core   +1 more source