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1.
Plast Aesthet Nurs (Phila) ; 43(4): 219-224, 2023.
Article in English | MEDLINE | ID: mdl-37774170

ABSTRACT

We conducted a literature review to highlight the diagnosis and treatment of hand flexor tendon injuries and discuss the current state of the science of hand surgery in the Republic of Kazakhstan. We reviewed the Google Scholar, PubMed, Web of Science, Elsevier, and National Center for Biotechnology Information databases and other printed sources for open access articles in three languages. We accepted relevant scientific articles that reflected the peculiarities of restoring function of the tendon flexors of the hand. We reviewed articles from the present to the previous 20 years and included 31 of these sources in our literature review. The medical examination of a patient who has sustained a flexor tendon injury should be thorough and gradual, supported by ultrasound and X-ray examination. For effective restoration of hand function following a hand injury, it is important for the surgeon to conduct a step-by-step assessment of the damage that has occurred to soft tissues, superficial and deep tendons, bones, nerves, and blood vessels. The main goal of tendon repair is to preserve tendon function. It is also known that early postoperative tendon movement leads to faster healing. The most frequent complications associated with flexor tendon repair include the development of adhesions, wound infection, tendon rupture, impaired hand function, and scar formation. Relative to the state of the science in the Republic of Kazakhstan, we conclude that hand surgery should be performed by highly skilled specialists in the field of microsurgery in a specialized department with microsurgical equipment.


Subject(s)
Hand Injuries , Tendon Injuries , Humans , Hand/surgery , Kazakhstan/epidemiology , Tendons/diagnostic imaging , Tendon Injuries/diagnostic imaging , Hand Injuries/diagnosis
2.
BMC Public Health ; 13: 654, 2013 Jul 15.
Article in English | MEDLINE | ID: mdl-23855346

ABSTRACT

BACKGROUND: Self-rated health (SRH) has been widely studied to assess health inequalities in both developed and developing countries. However, no studies have been performed in Central Asia. The aim of the study was to assess gender-, ethnic-, and social inequalities in SRH in Almaty, Kazakhstan. METHODS: Altogether, 1500 randomly selected adults aged 45 years or older were invited to participate in a cross-sectional study and 1199 agreed (response rate 80%). SRH was classified as poor, satisfactory, good and excellent. Multinomial logistic regression was applied to study associations between SRH and socio-demographic characteristics. Crude and adjusted odds ratios (OR) for poor vs. good and for satisfactory vs. good health were calculated with 95% confidence intervals (CI). RESULTS: Altogether, poor, satisfactory, good and excellent health was reported by 11.8%, 53.7%, 31.0% and 3.2% of the responders, respectively. Clear gradients in SRH were observed by age, education and self-reported material deprivation in both crude and adjusted analyses. Women were more likely to report poor (OR=1.9, 95% CI: 1.2-3.1) or satisfactory (OR=1.6, 95% CI: 1.2-2.1) than good health. Ethnic Russians and unmarried participants had greater odds for poor vs. good health (OR=2.3, 95% CI: 1.5-3.7 and OR=4.0, 95% CI: 2.7-6.1, respectively) and for satisfactory vs. good health (OR=1.4, 95% CI: 1.1-1.9 and OR=1.9, 95% CI: 1.4-2.5, respectively) in crude analysis, but the estimates were reduced to non-significant levels after adjustment. Unemployed and pensioners were less likely to report good health than white-collar workers while no difference in SRH was observed between white- and blue-collar workers. CONCLUSION: Considerable levels of inequalities in SRH by age, gender, education and particularly self-reported material deprivation, but not by ethnicity or marital status were found in Almaty, Kazakhstan. Further research is warranted to identify the factors behind the observed associations in Kazakhstan.


Subject(s)
Health Status Disparities , Health , Poverty , Adult , Aged , Aged, 80 and over , Cross-Sectional Studies , Educational Status , Employment , Ethnicity , Female , Humans , Kazakhstan , Logistic Models , Male , Marital Status , Middle Aged , Occupations , Odds Ratio , Russia , Self Report , Sex Factors , Socioeconomic Factors
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