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1.
Health Serv Manage Res ; 16(4): 211-23, 2003 Nov.
Article in English | MEDLINE | ID: mdl-14613619

ABSTRACT

This paper presents a benchmarking study carried out on the supply departments of Quebec's health services. The paper begins with the definition of a methodology to collect the information needed, both environmental (to enable institutions to be sorted into homogenous groups) and performance related. The analysis of indicators and the data envelopment analysis (DEA) models allowed classification of each hospital's performance and explained the operational approaches used, either at a general level or for each subprocess of the supply chain. It was observed that important economies of scale may be achieved with better co-ordination and with the regrouping of the supplying activities, both for purchasing management and central store management. The study showed that the best performance of central store services comes with flexible administrative structures, by receiving packages as small as possible and by using employees from the lowest range of the hierarchy. Purchasing services should employ highly qualified and well-paid staff. Although such services are relatively small with respect to their purchase volume, they show a higher activity rate. As a result of the discovered performing strategies, the possible economies range from 20% to 30% of the actual supply-chain management cost.


Subject(s)
Benchmarking/economics , Equipment and Supplies, Hospital/supply & distribution , Materials Management, Hospital/standards , Total Quality Management , Benchmarking/statistics & numerical data , Central Supply, Hospital/standards , Hospital Costs/statistics & numerical data , Hospital Distribution Systems/standards , Materials Management, Hospital/economics , Models, Econometric , Purchasing, Hospital/economics , Purchasing, Hospital/standards , Quebec
2.
Accid Anal Prev ; 35(5): 649-60, 2003 Sep.
Article in English | MEDLINE | ID: mdl-12850065

ABSTRACT

In light of the rapidly increasing development of the cell phone market, the use of such equipment while driving raises the question of whether it is associated with an increased accident risk; and if so, what is its magnitude. This research is an epidemiological study on two large cohorts, namely users and non-users of cell phones, with the objective of verifying whether an association exists between cell phone use and road crashes, separating those with injuries. The Société de l'Assurance Automobile du Québec (SAAQ) mailed a questionnaire and letter of consent to 175000 licence holders for passenger vehicles. The questionnaire asked about exposure to risk, driving habits, opinions about activities likely to be detrimental to driving and accidents within the last 24 months. For cell phone users, questions pertaining to the use of the telephone were added. We received 36078 completed questionnaires, with a signed letter of consent. Four wireless phone companies provided the files on cell phone activity, and the SAAQ the files for 4 years of drivers' records and police reports. The three data sources were merged using an anonymized identification number. The statistical methods include logistic-normal regression models to estimate the strength of the links between the explanatory variables and crashes. The relative risk of all accidents and of accidents with injuries is higher for users of cell phones than for non-users. The relative risks (RR) for injury collisions and also for all collisions is 38% higher for men and women cell phone users. These risks diminish to 1.1 for men and 1.2 for women if other variables, such as the kilometres driven and driving habits are incorporated into the models. Similar results hold for several sub-groups. The most significant finding is a dose-response relationship between the frequency of cell phone use, and crash risks. The adjusted relative risks for heavy users are at least two compared to those making minimal use of cell phones; the latter show similar collision rates as do the non-users.


Subject(s)
Accidents, Traffic/statistics & numerical data , Automobile Driving/statistics & numerical data , Cell Phone/statistics & numerical data , Adolescent , Adult , Age Distribution , Educational Status , Female , Humans , Male , Middle Aged , Population Surveillance , Quebec/epidemiology , Risk Assessment , Risk-Taking , Sex Distribution
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