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Q: How familiar are you with generative artificial intelligence (AI) technology such as ChatGPT? I am not familiar with it: 10% I have tried using it: 42% I have heard [...]

Considering the dissatisfaction that many physicians have expressed about electronic health records (EHRs), you might think that most doctors hate these systems. But, according to an exclusive Medical Economics survey, [...]

Do you ever wonder how to measure how well your practice is doing and how it compares with the practices of your peers? For instance, how you can determine whether [...]

How we got OUR DATA This Medical Economics project started in spring 2014 and concluded on August 28,2014. Here is how the editorial team approached gathering company data presented in [...]

Union army recruits who were former farmers, natives and rural residents were more prone to diseases, and hence more likely to die than recruits who were nonfarmers, nonnatives and urban dwellers. Economic status was a major determinant of diseases brought on by nutritional deficiencies. The advantages of open living spaces were found to be more important for the health of farmers and natives, than those of nonfarmers and nonnatives. The adverse impact of urbanization on the mortality and health of rural recruits was compounded by the poor immunity status of rural migrants to urban areas.

Let's face it. Practicing medicine, as any other job in any field, can become boring. Worse yet, it can lead to burnout, with all its ramifications, including doing potential harm [...]

The 1996 Medical Expenditure Panel Survey -- Household Component (MEPS-HC) was designed as a continuous on-going survey to permit annual estimates of health care utilization, expenditures, insurance coverage and sources of payment for the U.S. civilian noninstitutionalized population. Selected as a nationally representative subsample from the National Health Interview Survey, it is characterized by a multi-stage area probability design with an oversample of households with Hispanics and blacks. The 1996 MEPS sample consists of 195 primary sampling units (PSUs) which contained 10,597 responding NHIS households. In this paper, the precision of survey estimates derived from a 195 PSU design is compared with precision results for alternative sample allocation schemes that preserve the number of sample respondents and the over-sampling of minorities, while varying the number of PS Us and segments. The results provide insights on the impact of alternative sample allocation schemes on the precision of national health care estimates.

This paper discusses the methods of probability record linkage and error estimation for the Medical Expenditure Panel Survey (MEPS). MEPS collects medical expenditure data from both household respondents and their medical providers. The medical events reported by the two sources are subject to reporting differences and probability linkage methods are used to determine if pairs of medical events belong to the same entities. Match weights are assigned to pairs of events based on the likelihood of being a match, and a decision made to declare pairs as matches or nonmatches. The linkage errors include false matches (false positive) when pairs selected are not true matches, and false nonmatches (false negative) when true pairs are omitted. This study used three approaches: manual reviews, cumulative weight curves, and simulation approaches to provide estimates of linkage errors.

In panel designs with multiple waves of data collection, the overall survey response rate is a multiplicatire function of the wave specific response rates. The 1996 Medical Expenditure Panel Survey (MEPS) Household Component follows this model to acquire data on health care use, expenditures, insurance coverage and sources of payment that cover two consecutive calendar years. An overlapping panel design was implemented, where data covering the second year of a panel are combined with data from the first year of a new panel. This study identifies the characteristics that distinguish survey participants across waves of the survey from those that only participate in initial rounds and then discontinue their survey participation. The results provide insights regarding the efficacy of the MEPS nonresponse adjustment strategies by comparing the survey estimates from the second year of the longitudinal panel with those from a new panel for the same time period.

Patient portal Alphabetical listing of companies responding to Medical Economic's survey. Patient Addl Company EHR System Name Portal Cost 4Medica 4medica iEHR [check] No ABEL Medical Software ABELMed EHR-EMR/PM [check] [...]

COST-SHARING mechanisms such as deductibles, copays and coinsurance are intended to slow rising healthcare costs by discouraging people from seeking unneeded medical care. As out-of-pocket costs increase and family incomes [...]

Healthcare and pharmaceutical executives aren't certain that current payment models are sustainable, according to a new survey from KPMG. In a poll of more than 200 senior executives at leading [...]

PATIENT FLOW Q: On average, how many patients do you see in a week? 0 to 50 13% 51 to 100 45% 101 to 150 28% 161 to 200 7% [...]