ContextThe Internet has attracted considerable attention as a means to improve health and health care delivery, but it is not clear how prevalent Internet use for health care really is or what impact it has on health care utilization. Available estimates of use and impact vary widely. Without accurate estimates of use and effects, it is difficult to focus policy discussions or design appropriate policy activities.Objectives To measure the extent of Internet use for health care among a representative sample of the US population, to examine the prevalence of e-mail use for health care, and to examine the effects that Internet and e-mail use has on users' knowledge about health care matters and their use of the health care system. Design, Setting, and ParticipantsSurvey conducted in December 2001 and January 2002 among a sample drawn from a research panel of more than 60000 US households developed and maintained by Knowledge Networks. Responses were analyzed from 4764 individuals aged 21 years or older who were self-reported Internet users.Main Outcome Measures Self-reported rates in the past year of Internet and e-mail use to obtain information related to health, contact health care professionals, and obtain prescriptions; perceived effects of Internet and e-mail use on health care use. ResultsApproximately 40% of respondents with Internet access reported using the Internet to look for advice or information about health or health care in 2001. Six percent reported using e-mail to contact a physician or other health care professional. About one third of those using the Internet for health reported that using the Internet affected a decision about health or their health care, but very few reported impacts on measurable health care utilization; 94% said that Internet use had no effect on the number of physician visits they had and 93% said it had no effect on the number of telephone contacts. Five percent or less reported use of the Internet to obtain prescriptions or purchase pharmaceutical products.Conclusions Although many people use the Internet for health information, use is not as common as is sometimes reported. Effects on actual health care utilization are also less substantial than some have claimed. Discussions of the role of the Internet in health care and the development of policies that might influence this role should not presume that use of the Internet for health information is universal or that the Internet strongly influences health care utilization.
Mortality among very-low-birth-weight infants was lowest for deliveries that occurred in hospitals with NICUs that had both a high level of care and a high volume of such patients. Our results suggest that increased use of such facilities might reduce mortality among very-low-birth-weight infants.
We examined the consequences of contractual or ownership relationships between hospitals and physician practices, often described as vertical integration. Such integration can reduce health spending and increase the quality of care by improving communication across care settings, but it can also increase providers' market power and facilitate the payment of what are effectively kickbacks for inappropriate referrals. We investigated the impact of vertical integration on hospital prices, volumes (admissions), and spending for privately insured patients. Using hospital claims from Truven Analytics MarketScan for the nonelderly privately insured in the period 2001-07, we constructed county-level indices of prices, volumes, and spending and adjusted them for enrollees' age and sex. We measured hospital-physician integration using information from the American Hospital Association on the types of relationships hospitals have with physicians. We found that an increase in the market share of hospitals with the tightest vertically integrated relationship with physicians--ownership of physician practices--was associated with higher hospital prices and spending. We found that an increase in contractual integration reduced the frequency of hospital admissions, but this effect was relatively small. Taken together, our results provide a mixed, although somewhat negative, picture of vertical integration from the perspective of the privately insured.
Objective. To examine the relationship between measures of hospital safety climate and hospital performance on selected Patient Safety Indicators (PSIs). Data Sources. Primary data from a 2004 survey of hospital personnel. Secondary data from the 2005 Medicare Provider Analysis and Review File and 2004 American Hospital Association's Annual Survey of Hospitals. Study Design. A cross‐sectional study of 91 hospitals. Data Collection. Negative binomial regressions used an unweighted, risk‐adjusted PSI composite as dependent variable and safety climate scores and controls as independent variables. Some specifications included interpersonal, work unit, and organizational safety climate dimensions. Others included separate measures for senior managers and frontline personnel's safety climate perceptions. Principal Findings. Hospitals with better safety climate overall had lower relative incidence of PSIs, as did hospitals with better scores on safety climate dimensions measuring interpersonal beliefs regarding shame and blame. Frontline personnel's perceptions of better safety climate predicted lower risk of experiencing PSIs, but senior manager perceptions did not. Conclusions. The results link hospital safety climate to indicators of potential safety events. Some aspects of safety climate are more closely related to safety events than others. Perceptions about safety climate among some groups, such as frontline staff, are more closely related than perceptions in other groups.
Populations with serious health needs and those facing significant barriers in accessing health care in traditional settings turn to the Internet for health information.
Automated telephone-linked delivery systems represent an effective alternative for delivering physical activity advice to inactive older adults.
Objective. To describe the development of an instrument for assessing workforce perceptions of hospital safety culture and to assess its reliability and validity. Data Sources/Study Setting. Primary data collected between March 2004 and May 2005. Personnel from 105 U.S. hospitals completed a 38-item paper and pencil survey. We received 21,496 completed questionnaires, representing a 51 percent response rate. Study Design. Based on review of existing safety climate surveys, we developed a list of key topics pertinent to maintaining a culture of safety in high-reliability organizations. We developed a draft questionnaire to address these topics and pilot tested it in four preliminary studies of hospital personnel. We modified the questionnaire based on experience and respondent feedback, and distributed the revised version to 42,249 hospital workers. Data Collection. We randomly divided respondents into derivation and validation samples. We applied exploratory factor analysis to responses in the derivation sample. We used those results to create scales in the validation sample, which we subjected to multitrait analysis (MTA). Principal Findings. We identified nine constructs, three organizational factors, two unit factors, three individual factors, and one additional factor. Constructs demonstrated substantial convergent and discriminant validity in the MTA. Cronbach's a coefficients ranged from 0.50 to 0.89. Conclusions. It is possible to measure key salient features of hospital safety climate using a valid and reliable 38-item survey and appropriate hospital sample sizes. This instrument may be used in further studies to better understand the impact of safety climate on patient safety outcomes.Key Words. Safety culture, safety climate, survey, psychometric evaluation r Health Research and Educational Trust DOI: 10.1111/j. 1475-6773.2007.00706.x 1999 Since the Institute of Medicine's identification of safety culture as a key determinant of the ability of health care organizations to address and reduce risks to patients due to medical care (Institute of Medicine 2001), initiatives to improve and measure safety culture have proliferated (McCarthy and Blumenthal 2006). Recognition of the critical need to assess safety culture and the impact of innovative interventions aimed at improving it has led to the development of surveys designed to measure hospital worker perceptions of safety culture or ''safety climate.'' Instruments vary according to length, dimensions covered, intended sample population (hospital-wide or unit-level personnel), and extent of psychometric evaluation. Assessments of these early attempts to measure safety climate agree that more consideration of the psychometric factors in the design and selection of health care safety climate instruments is appropriate (Nieva and Sorra 2003;Colla et al. 2005;Flin et al. 2006;Singla et al. 2006). This paper describes the development and psychometric evaluation of the Patient Safety Climate in Healthcare Organizations (PSCHO) survey (appendix A), which ha...
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