Hospital Adoption of Laparoscopic Cholecystectomy

Am, Fendrick; Escarce, JJ; C, McLane; Ja, Shea; Js, Schwartz

doi:10.1097/00005650-199410000-00007

Cited by 34 publications

(12 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, a few studies have found that smaller agencies are more likely to implement EBPs (e.g., Delany, Broome, Flynn, & Fletcher, 2001;Miller, 2001), and some studies have found no effect of organization size (e.g., Ducharme et al, 2007;Grella et al, 2007). Evidence for program location is limited, but a few studies suggest that urban programs are more likely than rural programs to implement EBPs or innovative technologies (Fendrick, Escarce, McLane, Shea, & Schwartz, 1994;Poulsen et al, 2001). Biegel et al (2003) noted that rural agencies implementing IDDT encountered difficulties, such as clinicians having significant non-COD caseloads (and thus having to split their focus on different types of clients), few housing resources, travel distances that limited outreach and engagement, and agency financial stress.…”

Section: Structural Characteristicsmentioning

confidence: 99%

Increasing program capability to provide treatment for co-occurring substance use and mental disorders: Organizational characteristics

Gotham

Claus

Selig

et al. 2010

Journal of Substance Abuse Treatment

View full text Add to dashboard Cite

Section: Structural Characteristicsmentioning

confidence: 99%

Increasing program capability to provide treatment for co-occurring substance use and mental disorders: Organizational characteristics

Gotham

Claus

Selig

et al. 2010

Journal of Substance Abuse Treatment

View full text Add to dashboard Cite

“…The results of these models are nearly identical to those reported below, but have been excluded as the price effects cannot be reliably separated from the baseline hazard functions. Please note that the omission of technology price is common in the health-care technology diffusion literature (Russell, 1977;Sloan et al, 1986;Fendrick et al, 1994;Fudenberg and Tirole, 1985;Kapur, 1995;Baker, 2001;Baker and Phibbs, 2002;Escarce, 1996;Teplensky et al, 1995).…”

Section: Multivariate Modelsmentioning

confidence: 99%

“…Subsequent studies of banking (Hannan and McDowell, 1984) and utility (Rose and Joskow, 1990) industries established hazard models as the standard empirical technique for technology adoption research. Although the specifications have varied, hazard models have been applied to a wide range of technology adoption decisions in health care (Fendrick et al, 1994;Baker, 2001;Baker and Phibbs, 2002;Cutler and McClellan, 1996;Escarce, 1996;Teplensky et al, 1995).…”

Section: Introductionmentioning

confidence: 99%

The adoption of hospital information systems

McCullough

2007

Health Economics

View full text Add to dashboard Cite

This paper empirically examines the diffusion of hospital information systems (ISs), specifically, pharmacy, laboratory, and radiology systems. Given the policy significance of health IS and the widespread perception that it's diffusion is slow, a better understanding of the mechanisms driving IS adoption is needed. A novel data set incorporating both IS adoption and hospital characteristics was constructed. These data follow the behavior of 1965 hospitals for the years 1990-2000. Hypotheses pertaining to hospital characteristics, hospital competition, and strategic behavior are tested utilizing proportional hazard models. I find that IS adoption is related to multi-hospital system membership, payer mix, and hospital scale. The role of scale, however, significantly diminishes throughout the time period, likely reflecting improved personal computer performance and improved IT scalability. Conversely, I find little that strategic behavior or hospital competition affects IS adoption. Likewise, hospital ownership does not affect the adoption of these systems. Overall, these results suggest that hospital IS diffusion has not been normatively slow.

show abstract

“…Hospital characteristics, such as economies of scale, payer mix, ownership, urban or rural location, financial performance, and teaching status are found to be strong predictors of technology adoption [13][14][15][16][17][18][19]. Investigated environmental factors include competition, reimbursement policies [20,21], managed care penetration [22,23], insurance market characteristics [24], and the technology adoption behavior of neighboring hospitals [12].…”

Section: Introductionmentioning

confidence: 99%

U.S. hospital efficiency and adoption of health information technology

Zhivan

Diana

2011

Health Care Manag Sci

View full text Add to dashboard Cite

This study empirically examines the association between hospital inefficiency and the decision to introduce electronic medical records (EMR) and computerized physician order entry (CPOE) in a national sample of U.S. general hospitals in urban areas in 2006. The main research question is whether the presence of hospital cost inefficiency or other factors driving inefficiency in the production process of a hospital explain low adoption rates of health information technology (HIT) in a hospital setting. We estimated a logistic regression of HIT adoption as a function of hospital cost inefficiency scores obtained using a stochastic frontier analysis. The results demonstrate that hospitals with a greater degree of cost inefficiency were more likely to introduce EMR, suggesting that the benefits of EMR implementation in terms of improved efficiency were likely to outweigh the costs of adoption compared to hospitals that are more efficient. The results showed no association between cost inefficiency and the CPOE adoption decision.

show abstract

Hospital Adoption of Laparoscopic Cholecystectomy

Cited by 34 publications

References 9 publications

Increasing program capability to provide treatment for co-occurring substance use and mental disorders: Organizational characteristics

Increasing program capability to provide treatment for co-occurring substance use and mental disorders: Organizational characteristics

The adoption of hospital information systems

U.S. hospital efficiency and adoption of health information technology

Contact Info

Product

Resources

About