PubMed · 13755286
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L KURLAND. 1960. Survey procedures, definitions and sampling problems.. https://pubmed.ncbi.nlm.nih.gov/13755286/
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This paper examines the traditional use of medicinal plants in Loja province, Southern Ecuador.Two hundred fifteen plant species were collected, identified and their vernacular names and traditional uses recorded. This number of species indicates that the healers, market vendors and members of the public interviewed still have a very high knowledge of plants in their surroundings, which can be seen as a reflection of the knowledge of the population in general. However, the area represents only an outlier of the larger Northern Peruvian cultural area, where more than 500 species of plants are used medicinally, indicating that in Ecuador much of the original plant knowledge has already been lost.Most plant species registered are only used medicinally, and only a few species have any other use (construction, fodder, food). The highest number of species is used for the treatment of "magical" (psychosomatic) ailments (39 species), followed by respiratory disorders (34), problems of the urinary tract (28), Fever/Malaria (25), Rheumatism (23) and nervous system problems (20).
BACKGROUND: Unlike Canada's medical malpractice system, patients in New Zealand who are dissatisfied with the quality of their care may choose between 2 well-established medicolegal paths: one leads to monetary compensation and the other to nonmonetary forms of accountability. We compared the forms of accountability sought by patients and families in New Zealand who took different types of legal action following a medical injury. This study offers insights into the forms of accountability sought by injured patients and may help to inform tort-reform initiatives. METHODS: We reviewed compensation claims submitted to the Accident Compensation Corporation (ACC), New Zealand's national no-fault insurer, following injuries associated with admission to a public hospital in 1998 (n = 582). We also reviewed complaint letters (n = 254) submitted to the national Health and Disability Commissioner (HDC) that same year to determine the forms of accountability sought by injured patients. We used univariable and multivariable analyses to compare sociodemographic and socioeconomic characteristics of patients who sought nonmonetary forms of accountability with those of patients who claimed compensation. RESULTS: Of 154 injured patients whose complaints were sufficiently detailed to allow coding, 50% sought corrective action to prevent similar harm to future patients (45% system change, 6% review of involved clinician's competence) and 40% wanted more satisfying communication (34% explanation, 10% apology). The odds that patients would seek compensation were significantly increased if they were in their prime working years (aged between 30 and 64 years) (odds ratio [OR] 1.66, 95% confidence interval [CI] 1.14-2.41) or had a permanent disability as a result of their injury (OR 1.75, 95% CI 1.14-2.70). When injuries resulted in death, the odds of a compensation claim to the ACC were about one-eighth those of a complaint to the HDC (OR 0.13, 95% CI 0.08-0.23). INTERPRETATION: Injured patients who pursue medicolegal action seek various forms of accountability. Compensation is important to some, especially when economic losses are substantial (e.g., with injury during prime working years or severe nonfatal injuries). However, others have purely nonmonetary goals, and ensuring alternative options for redress would be an efficient and effective response to their needs.
Theoretically, measures of household wealth can be reflected by income, consumption or expenditure information. However, the collection of accurate income and consumption data requires extensive resources for household surveys. Given the increasingly routine application of principal components analysis (PCA) using asset data in creating socio-economic status (SES) indices, we review how PCA-based indices are constructed, how they can be used, and their validity and limitations. Specifically, issues related to choice of variables, data preparation and problems such as data clustering are addressed. Interpretation of results and methods of classifying households into SES groups are also discussed. PCA has been validated as a method to describe SES differentiation within a population. Issues related to the underlying data will affect PCA and this should be considered when generating and interpreting results.