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Susan M Dovey

Publications and source records attributed to Susan M Dovey.

11 recordsLinked to original sources

Hospital admissions in diabetic and non-diabetic patients: a case-control study.

AIM: To examine differences in morbidity and rates of hospital admission between diabetes patients and patients without diabetes in New Zealand. METHODS: A 1,123 and 11,325 patients with Types 1 and 2 diabetes in the Southlink Health diabetes register were identified. Types 1 and 2 diabetes patients were matched with non-diabetic patients drawn from primary care patient registers. Hospital admission rates for diabetic complications and general medical conditions, length of stay in hospital, patients readmitted, deaths in hospital and hospital procedures were analyzed for the 3-year period from 2000 to 2002. RESULTS: Diabetes patients were more likely to be admitted to hospital for any reason than patients without diabetes (odds ratio (OR) 2.55, 95% confidence interval (CI) 2.13-3.04, p<0.001 for Type 1 patients; OR 1.40, CI 1.33-1.48, p<0.001 for Type 2 patients). A 46% (770) of all admissions for Type 1 patients were due to complications arising from diabetes and 33% (4685) for Type 2 patients. Major complications included ischaemic heart disease, heart failure, cataracts and conditions specific to diabetes. CONCLUSIONS: Increasing prevalence of diabetes will increase demand for hospital services overall, and particularly for inpatient care related to macroangiopathy, ophthalmic and renal problems and peripheral circulatory disorders.

Adolescent↗

Using the ecology model to describe the impact of asthma on patterns of health care.

BACKGROUND: Asthma changes both the volume and patterns of healthcare of affected people. Most studies of asthma health care utilization have been done in selected insured populations or in a single site such as the emergency department. Asthma is an ambulatory sensitive care condition making it important to understand the relationship between care in all sites across the health service spectrum. Asthma is also more common in people with fewer economic resources making it important to include people across all types of insurance and no insurance categories. The ecology of medical care model may provide a useful framework to describe the use of health services in people with asthma compared to those without asthma and identify subgroups with apparent gaps in care. METHODS: This is a case-control study using the 1999 U.S. Medical Expenditure Panel Survey. Cases are school-aged children (6 to 17 years) and young adults (18 to 44 years) with self-reported asthma. Controls are from the same age groups who have no self-reported asthma. Descriptive analyses and risk ratios are placed within the ecology of medical care model and used to describe and compare the healthcare contact of cases and controls across multiple settings. RESULTS: In 1999, the presence of asthma significantly increased the likelihood of an ambulatory care visit by 20 to 30% and more than doubled the likelihood of making one or more visits to the emergency department (ED). Yet, 18.8% of children and 14.5% of adults with asthma (over a million Americans) had no ambulatory care visits for asthma. About one in 20 to 35 people with asthma (5.2% of children and 3.6% of adults) were seen in the ED or hospital but had no prior or follow-up ambulatory care visits. These Americans were more likely to be uninsured, have no usual source of care and live in metropolitan areas. CONCLUSION: The ecology model confirmed that having asthma changes the likelihood and pattern of care for Americans. More importantly, the ecology model identified a subgroup with asthma who sought only emergent or hospital services.

Adult↗

Variation in participation in health care settings associated with race and ethnicity.

OBJECTIVE: To use the ecology model of health care to contrast participation of black, non-Hispanics (blacks); white, non-Hispanics (whites); and Hispanics of any race (Hispanics) in 5 health care settings and determine whether disparities between those individuals exist among places where they receive care. DESIGN: 1996 Medical Expenditure Panel Survey data were used to estimate the number of black, white, and Hispanic people per 1,000 receiving health care in each setting. SETTING: Physicians' offices, outpatient clinics, hospital emergency departments, hospitals, and people's homes. MAIN MEASUREMENT: Number of people per 1,000 per month who had at least one contact in a health care setting. RESULTS: Fewer blacks and Hispanics than whites received care in physicians' offices (154 vs 155 vs 244 per 1,000 per month, respectively) and outpatient clinics (15 vs 12 vs 24 per 1,000 per month, respectively). There were no significant differences in proportions hospitalized or receiving care in emergency departments. Fewer Hispanics than blacks or whites received home health care services (7 vs 14 vs 14 per 1,000 per month, respectively). After controlling for 7 variables, blacks and Hispanics were less likely than whites to receive care in physicians' offices (odds ratio [OR], 0.65, 95% confidence interval [CI], 0.60 to 0.69 for blacks and OR, 0.79, 95% CI, 0.73 to 0.85 for Hispanics), outpatient clinics (OR, 0.73, 95% CI, 0.60 to 0.90 for blacks and OR, 0.71, 95% CI, 0.58 to 0.88 for Hispanics), and hospital emergency departments (OR, 0.80, 95% CI, 0.69 to 0.94 for blacks and OR, 0.80, 95% CI, 0.68 to 0.93 for Hispanics) in a typical month. The groups did not differ in the likelihood of receiving care in the hospital or at home. CONCLUSIONS: Fewer blacks and Hispanics than whites received health care in physicians' offices, outpatient clinics, and emergency departments in contrast to hospitals and home care. Research and programs aimed at reducing disparities in receipt of care specifically in the outpatient setting may have an important role in the quest to reduce racial and ethnic disparities in health.

Black or African American↗

An international taxonomy for errors in general practice: a pilot study.

OBJECTIVES: To develop an international taxonomy describing errors reported by general practitioners in Australia and five other countries. DESIGN AND SETTING: GPs in Australia, Canada, the Netherlands, New Zealand, the United Kingdom and the United States reported errors in an observational pilot study. Anonymous reports were electronically transferred to a central database. Data were analysed by Australian and international investigators. PARTICIPANTS: Non-randomly selected GPs: 23 in Australia, and between 8 and 20 in the other participating countries. MAIN OUTCOME MEASURES: Error categories, and consequences. RESULTS: In Australia, 17 doctors reported 134 errors, compared with 301 reports by 63 doctors in the other five countries. The final taxonomy was a five-level system encompassing 171 error types. The first-level classification was "process errors" and "knowledge and skills errors". The proportion of errors in each of these primary groups was similar in Australia (79% process; 21% knowledge and skills) and the other countries (80% process; 20% knowledge and skills). Patient harm was reported in 32% of reports from Australia and 30% from other countries. Participants considered the harm "very serious" in 9% of Australian reports and 3% of other countries' reports. CONCLUSIONS: This pilot study indicates that errors are likely to affect primary care patients in similar ways in countries with similar primary healthcare systems. Further comparative studies are required to improve our understanding of general practice error differences between Australia and other countries.

Australia↗

The association of Title VII funding to departments of family medicine with choice of physician specialty and practice location.

BACKGROUND: Title VII predoctoral and departmental grants for departments of family medicine are intended to increase the number of family and primary care physicians in the United States and increase the number of practices in rural and underserved communities. This study assessed the relationships of Title VII funding with physicians' choices of practice specialty and location. METHODS: Non-federal direct patient care physicians who graduated from US medical schools from 1981-1993 were identified in the 2000 American Medical Association Masterfile. A grant history file was used to annotate Masterfile records with Title VII funding data for the physicians' 4-year medical school enrollment. Characteristics of the county in which they practice were taken from the Area Resource File. Title VII funding variables were then related to practice specialty and location. RESULTS: Predoctoral training and departmental development funding were strongly related to attainment of each of the Title VII program objectives evaluated. CONCLUSIONS: Title VII has been successful in achieving its stated goals and legislative intent and has had an important role in addressing US physician workforce policy issues.

Career Choice↗

Classification of medical errors and preventable adverse events in primary care: a synthesis of the literature.

OBJECTIVE: To describe and classify process errors and preventable adverse events that occur from medical care in outpatient primary care settings. STUDY DESIGN: Systematic review and synthesis of the medical literature. DATA SOURCES: We searched MEDLINE and the Cochrane Library from 1965 through March 2001 with the MESH term medical errors, modified by adding family practice, primary health care, physicians/family, or ambulatory care and limited the search to English-language publications. Published bibliographies and Web sites from patient safety and primary care organizations were also reviewed for unpublished reports, presentations, and leads to other sites, journals, or investigators with relevant work. Additional papers were identified from the references of the papers reviewed and from seminal papers in the field. OUTCOMES MEASURED: Process errors and preventable adverse events. RESULTS: Four original research studies directly studied and described medical errors and adverse events in primary care, and 3 other studies peripherally addressed primary care medical errors. A variety of quantitative and qualitative methods were used in the studies. Extraction of results from the studies led to a classification of 3 main categories of preventable adverse events: diagnosis, treatment, and preventive services. Process errors were classified into 4 categories: clinician, communication, administration, and blunt end. CONCLUSIONS: Original research on medical errors in the primary care setting consists of a limited number of small studies that offer a rich description of medical errors and preventable adverse events primarily from the physician's viewpoint. We describe a classification derived from these studies that is based on the actual practice of primary care and provides a starting point for future epidemiologic and interventional research. Missing are studies that have patient, consumer, or other health care provider input.

Adverse Drug Reaction Reporting Systems↗

A string of mistakes: the importance of cascade analysis in describing, counting, and preventing medical errors.

BACKGROUND: Notions about the most common errors in medicine currently rest on conjecture and weak epidemiologic evidence. We sought to determine whether cascade analysis is of value in clarifying the epidemiology and causes of errors and whether physician reports are sensitive to the impact of errors on patients. METHODS: Eighteen US family physicians participating in a 6-country international study filed 75 anonymous error reports. The narratives were examined to identify the chain of events and the predominant proximal errors. We tabulated the consequences to patients, both reported by physicians and inferred by investigators. RESULTS: A chain of errors was documented in 77% of incidents. Although 83% of the errors that ultimately occurred were mistakes in treatment or diagnosis, 2 of 3 were set in motion by errors in communication. Fully 80% of the errors that initiated cascades involved informational or personal miscommunication. Examples of informational miscommunication included communication breakdowns among colleagues and with patients (44%), misinformation in the medical record (21%), mishandling of patients' requests and messages (18%), inaccessible medical records (12%), and inadequate reminder systems (5%). When asked whether the patient was harmed, physicians answered affirmatively in 43% of cases in which their narratives described harms. Psychological and emotional effects accounted for 17% of physician-reported consequences but 69% of investigator-inferred consequences. CONCLUSIONS: Cascade analysis of physicians' error reports is helpful in understanding the precipitant chain of events, but physicians provide incomplete information about how patients are affected. Miscommunication appears to play an important role in propagating diagnostic and treatment mistakes.

Adolescent↗

Variation in the ecology of medical care.

BACKGROUND: We wanted to quantify how the location in which medical care is delivered in the United States varies with the sociodemographic characteristics and health care arrangements of the individual person. METHODS: Data from the 1996 Medical Expenditures Panel Survey (MEPS) were used to estimate the number of persons per 1,000 per month in 1996 who had at least 1 contact with physicians' offices, hospital outpatient departments, or emergency departments, hospitals, or home care. These data were stratified by age, sex, race, ethnicity, household income, education of head of household, residence in or out of metropolitan statistical areas, having health insurance, and having a usual source of care. RESULTS: Physicians' offices were overwhelmingly the most common site of health care for all subgroups studied. Lacking a usual source of care was the only variable independently associated with a decreased likelihood of care in all 5 settings, and lack of insurance was associated with lower rates of care in all settings but emergency departments. Generally, more complicated patterns emerged for most sociodemographic characteristics. The combination of having a usual source of care and health insurance was especially related to higher rates of care in all settings except the emergency department. CONCLUSION: Frequency and location of health care delivery varies substantially with sociodemographic characteristics, insurance, and having a usual source of care. Understanding this variation can inform public consideration of policy related to access to care.

Adolescent↗

Specialist physicians providing primary care services in Colorado.

BACKGROUND: There is general consensus that the size of the US physician workforce now exceeds the health care needs of the American public. There is a greater proportion of specialists than primary care physicians, a specialty mix different from that of most other developed countries. METHODS: The Colorado Board of Medical Examiners sent a one-page questionnaire to all physicians licensed to practice in the state. It contained the question: "How many hours in the last week did you provide primary care services, defined as either preventive care, routine physical exams, or treatment of common ailments?" The responses of physicians who reported non-primary-care medical specialties were analyzed with respect to their personal and practice characteristics. RESULTS: Just under half (46.5%) of the 2745 specialist respondents reported having provided primary care services. As a group, however, 27.9% of specialist physicians' direct patient care time was devoted to primary care activities. The amount of primary care services being provided was greater among those not board-certified in their specialties, osteopathic physicians, and specialists spending less time in direct patient care. CONCLUSION: Additional evaluation is needed with a more comprehensive definition of primary care than used in this article, which includes important but difficult-to-measure elements, such as the integration of services, a sustained partnership with patients, and practice in the context of family and community. To the extent possible, this definition should not rely on physician self-definition of which examinations are routine and which ailments are common. However, the contribution of specialists should be considered in future primary care needs assessments, and specialists who experience low demand for their particular specialties may be especially inclined to provide primary care services.

Adult↗

Follow-up on family practice residents' perspectives on length and content of training.

BACKGROUND: The structure of family practice residency programs remains essentially unchanged from the model first proposed more than 35 years ago. Advances in medical technology and knowledge combined with increasing restrictions on resident work hours and decreasing medical student interest invite reconsideration of how family physicians are trained. METHODS: We resurveyed 442 third-year family practice residents who had participated in a prior study in 2000 to determine whether their opinions about the length and content of residency had changed and whether they would still choose to be a physician and a family physician. RESULTS: Thirty-seven percent of responding third-year residents favored extending family practice residency to 4 years. Compared as groups, there was relatively little change in opinion between first- and third-year residents. However, residents' individual responses about the settings and content areas for which they would be willing to consider extending training varied considerably between years 1 and 3. Personal characteristics did not seem to influence residents' opinions about length and content of training. Reasons for favoring a 4-year program and barriers to change were similar to those reported previously. Residents' commitment to medicine and family medicine was still strong and was not associated with their opinions about length of training. CONCLUSION: Although most surveyed residents favored a 3-year residency program, a substantial minority still supported extending training to 4 years, and the majority would still choose to enter family medicine programs if they were extended. Given a lack of consensus about specific content areas, family medicine should consider a period of experimentation to determine how to best prepare future family physicians.

Adult↗