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The connection between personnel resources with work loading and patient satisfaction on in‐patient wards
Author(s) -
AALTO PIRJO,
KARHE LIISA,
KOIVISTO ANNAMAIJA,
VÄLIMÄKI MARITTA
Publication year - 2009
Publication title -
journal of nursing management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.925
H-Index - 76
eISSN - 1365-2834
pISSN - 0966-0429
DOI - 10.1111/j.1365-2834.2007.00826.x
Subject(s) - workload , nursing management , work (physics) , medicine , nursing , patient satisfaction , medical emergency , medline , patient care , nursing care , computer science , law , political science , engineering , operating system , mechanical engineering
Aim The aim of the study is to describe the connection between the burden of nurses’ work experience and patient dissatisfaction using electronic indicators available in databases. Background The hospitals in this study have a lot of information stored in electronic databases, but the data is stored in different databases and there are no straight connections between them. Methods This study was retrospective. Inpatient rates, workload statistics, patient classification, patient satisfaction and financial statistics were collected on 39 hospital wards from electronic databases. The data were analysed statistically. Results The results showed that the higher care intensity index and number of gross treatment days are, the greater was the burden on nurses. The burden was smaller on those wards using a named nurse system. Conclusions Nurses’ workload varies according to the condition of patients and patient flow. There is a connection between high workload and patient dissatisfaction. Nurse Managers should easily be able to use significant indicators. Implications for nursing management Nursing management must have tools that are easy to use in every day workload measurement, burden adjustment and personnel planning in the long run. This article presents patient classification and the number of beds used including daily change percentage of wards as instruments for nursing management.