Identifikasi Faktor Kritis dalam Perancangan Jasa Rental Mobil

Bisnis jasa rental mobil semakin berkembang setiap tahunnya setiap tahunnya. Tujuan dari penelitian ini adalah mengidentifikasi faktor faktor kritis dari sisi produk dan jasa yang dapat meningkatkan kepuasan konsumen. Penelitian ini menggunakan penelitian deskriptif kuantitatif dimana menilai apakah faktor dari metode Product Service System yang berpengaruh signifikan dalam bisnis rental mobil. Faktor kebutuhan dari PSS rental mobil yang digunakan dalam rancangan model PSS bisnis rental mobil berjumlah 38, yang terdiri dari 26 faktor kritis technical artefact dan 12 faktor services. Setelah dilakukan product and service realtionship matrix yang merupakan adaptasi dari house of quality, penelitian ini menghasilkan 6 faktor kritis dengan nilai hubungan tertinggi dari tabel product and service analysis matrix yang ada, tiga faktor kritis dari sisi produk adalah related product, availability dan flexibility. Faktor kritis dari sisi jasa adalah required resource, estimated result dan location of service application

International Nosocomial Infection Control Consortium report, data summary of 50 countries for 2010-2015: Device-associated module

•We report INICC device-associated module data of 50 countries from 2010-2015.•We collected prospective data from 861,284 patients in 703 ICUs for 3,506,562 days.•DA-HAI rates and bacterial resistance were higher in the INICC ICUs than in CDC-NHSN's.•Device utilization ratio in the INICC ICUs was similar to CDC-NHSN's. Background: We report the results of International Nosocomial Infection Control Consortium (INICC) surveillance study from January 2010-December 2015 in 703 intensive care units (ICUs) in Latin America, Europe, Eastern Mediterranean, Southeast Asia, and Western Pacific. Methods: During the 6-year study period, using Centers for Disease Control and Prevention National Healthcare Safety Network (CDC-NHSN) definitions for device-associated health care-associated infection (DA-HAI), we collected prospective data from 861,284 patients hospitalized in INICC hospital ICUs for an aggregate of 3,506,562 days. Results: Although device use in INICC ICUs was similar to that reported from CDC-NHSN ICUs, DA-HAI rates were higher in the INICC ICUs: in the INICC medical-surgical ICUs, the pooled rate of central line-associated bloodstream infection, 4.1 per 1,000 central line-days, was nearly 5-fold higher than the 0.8 per 1,000 central line-days reported from comparable US ICUs, the overall rate of ventilator-associated pneumonia was also higher, 13.1 versus 0.9 per 1,000 ventilator-days, as was the rate of catheter-associated urinary tract infection, 5.07 versus 1.7 per 1,000 catheter-days. From blood cultures samples, frequencies of resistance of Pseudomonas isolates to amikacin (29.87% vs 10%) and to imipenem (44.3% vs 26.1%), and of Klebsiella pneumoniae isolates to ceftazidime (73.2% vs 28.8%) and to imipenem (43.27% vs 12.8%) were also higher in the INICC ICUs compared with CDC-NHSN ICUs. Conclusions: Although DA-HAIs in INICC ICU patients continue to be higher than the rates reported in CDC-NSHN ICUs representing the developed world, we have observed a significant trend toward the reduction of DA-HAI rates in INICC ICUs as shown in each international report. It is INICC's main goal to continue facilitating education, training, and basic and cost-effective tools and resources, such as standardized forms and an online platform, to tackle this problem effectively and systematically