In this article, I (1) review the process of interviewing patients by computer, (2) summarize computer-interviewing work done in 1968, (3) address the weaknesses of collecting information with the traditional history-taking methods or paper questionnaires, (4) discuss commercial software designed for computer interviewing, and (5) focus on the strengths and weaknesses of interviewing patients with a computer. The strengths of this process compared with traditional interviewing are that computer interviewing allows the physician to gather more data; gives the patient more time to complete an interview; uncovers more sensitive information; provides more adaptability to non-English-speaking patients, patients with hearing impairment, or patients who are illiterate; and provides structured information for research. The weaknesses of computer interviewing are that it generates false-positive responses, is not accepted by a minority of patients, is unable to detect nonverbal behavior, and requires changes in work flow. With the advent of an electronic medical record and the financial rewards for comprehensive history recording, the gathering of history and documentation from patients is increasingly important and favors adaptation to computer interviewing.

Although limited in scope, to our knowledge this is the largest study of online visits in primary care using a structured history, allowing the patient to enter any problem, and billing the patient when appropriate. The extent of conditions possible for treatment by online care was far-ranging and was managed with a minimum of message exchanges by using structured histories. Processes previously given as a free service or by nurse triage and subject to malpractice (protocols) were now documented and billed.

BackgroundWomen can choose from a range of contraceptive methods that differ in important ways. Inadequate decision support may lead them to select a method that poorly fits their circumstances, leading to dissatisfaction, misuse, or nonuse. Decision support interventions, such as decision aids, may help women choose a method of contraception that best fits their personal circumstances. To guide future decision aid development, we aim to summarize the attributes of contraceptive methods included in available decision aids as well as surveys and interviews of women actively choosing a contraceptive method.MethodsWe conducted a systematic review to identify attributes of contraceptive methods that may be important to women when engaging in this decision making process. We performed a database search of MEDLINE/PubMed, Ovid EMBASE, OVID CENTRAL, Ovid PsycInfo, EBSCO CINAHL, Popline, and Scopus from 1985 until 2013 to identify decision aids, structured interviews and questionnaires reporting attributes of contraceptive options that are of importance to women. A free-text internet search was also performed to identify additional decision support tools. All articles and tools were reviewed in duplicate for inclusion, and a summary list of attributes was compiled.ResultsWe included 20 surveys, 1 semistructured interview report and 19 decision aids, reporting 32 unique attributes. While some attributes were consistently included in surveys/interviews and decision aids, several were included more often in decision aids as opposed to surveys/interviews (e.g., STI prevention, noncontraceptive benefits, how the method is used, requirement of a healthcare provider), and vice versa (e.g., a woman’s vicarious experience with contraceptive methods). Key attributes mentioned in both surveys/interviews and decision aids include efficacy (29 total mentioned) and side effects/health risks (28 total mentioned). While a limited number of decision support tools were formally evaluated, many were not rigorously studied.ConclusionsMany attributes were identified as potentially important to women choosing a method of contraception, but these were inconsistently included in the reviewed resources. Formal evaluation of decision support tools for contraceptive choice and involvement of users in the development process may lead to more user-centered design and implementation.

Carpal tunnel syndrome, a common and well-described clinical disorder, usually has been considered a chronic disorder with a fixed set of symptoms and typically affecting middle-aged women. Because of the many variations in its initial clinical manifestations, however, its diagnosis at times can be difficult. In this review, we describe nonclassic manifestations of carpal tunnel syndrome and discuss the differential diagnosis, the importance of electrodiagnostic studies, and treatment modalities.

As medical providers seek new ways to control costs, online visits have begun to receive serious consideration. The purpose of this study was to compare the odds of being a cost outlier during a 6-month period after either an online visit or a standard drop-in visit in a conventional medical office setting. Medical records of primary care patients (both adults and children) seen in a large group practice in Minnesota in 2008 were analyzed for this study. Two groups of patients were studied: those who had an online visit (N = 390) and a comparison group who had regular office care for same-day, acute visits (N = 376). Case types were classified as either complex or common, with common being defined as treatment for pinkeye, sore throat, viral illness, bronchitis, or cough. Outliers were defined as patients for whom standard costs exceeded the 75(th) percentile during a 6-month period after the index visit. Multiple logistic regression analysis was used to adjust for differences between groups. The percentage of online visitors who were cost outliers was 21.2 (versus 28.5 in the standard visit group). Median standard costs were $161 for online visits and $219 for same-day acute visits. The adjusted odds of being a cost outlier was lower for the online visit group than for the standard visit group (odds ratio [OR] 0.52, 95% confidence interval [95% CI] 0.35-0.77) after adjusting for number of visits in the previous 6 months, age, sex, and case type. Outpatient visits in the previous 6 months were positively related to outlier status (OR 1.23, 95% CI 1.17-1.29). Online visits appeared to reduce medical costs for patients during a 6-month period after the visit.