This article presents an introduction to the Health Belief Model (HBM). The HBM states that the perception of a personal health behavior threat is influenced by at least three factors: general health values, interest and concern about health; specific beliefs about vulnerability to a particular health threat; and beliefs about the consequences of the health problem. Once an individual perceives a threat to his health and is simultaneously cued to action, if his perceived benefits outweighs his perceived costs, then the individual is most likely to undertake the recommended preventive health action. Key words: health promotion, health belief model, perceived susceptibility, perceived severity, perceived benefits, perceived barriers, cues to action, self-efficacy. Content available only in Romanian.

Health Belief Model

The Sage Encyclopedia of Social Science Research Methods

Introduction: Private sector healthcare delivery in low- and middle-income countries is sometimes argued to be more efficient, accountable, and sustainable than public sector delivery. Conversely, the public sector is often regarded as providing more equitable and evidence-based care. We performed a systematic review of research studies investigating the performance of private and public sector delivery in low- and middle-income countries. Methods and Findings: Peer-reviewed studies including case studies, meta-analyses, reviews, and case-control analyses, as well as reports published by non-governmental organizations and international agencies, were systematically collected through large database searches, filtered through methodological inclusion criteria, and organized into six World Health Organization health system themes: accessibility and responsiveness; quality; outcomes; accountability, transparency, and regulation; fairness and equity; and efficiency. Of 1,178 potentially relevant unique citations, data were obtained from 102 articles describing studies conducted in low- and middle-income countries. Comparative cohort and cross-sectional studies suggested that providers in the private sector more frequently violated medical standards of practice and had poorer patient outcomes, but had greater reported timeliness and hospitality to patients. Reported efficiency tended to be lower in the private than in the public sector, resulting in part from perverse incentives for unnecessary testing and treatment. Public sector services experienced more limited availability of equipment, medications, and trained healthcare workers. When the definition of ‘‘private sector’’ included unlicensed and uncertified providers such as drug shop owners, most patients appeared to access care in the private sector; however, when unlicensed healthcare providers were excluded from the analysis, the majority of people accessed public sector care. ‘‘Competitive dynamics’’ for funding appeared between the two sectors, such that public funds and personnel were redirected to private sector development, followed by reductions in public sector service budgets and staff. Conclusions: Studies evaluated in this systematic review do not support the claim that the private sector is usually more efficient, accountable, or medically effective than the public sector; however, the public sector appears frequently to lack timeliness and hospitality towards patients. Please see later in the article for the Editors’ Summary.

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Comparative performance of private and public healthcare systems in low- and middle-income countries: a systematic review.

Summary The world is becoming urban. The UN predicts that the world's urban population will almost double from 3·3 billion in 2007 to 6·3 billion in 2050. Most of this increase will be in developing countries. Exponential urban growth is having a profound effect on global health. Because of international travel and migration, cities are becoming important hubs for the transmission of infectious diseases, as shown by recent pandemics. Physicians in urban environments in developing and developed countries need to be aware of the changes in infectious diseases associated with urbanisation. Furthermore, health should be a major consideration in town planning to ensure urbanisation works to reduce the burden of infectious diseases in the future.

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Urbanisation and infectious diseases in a globalised world

Background: The hepatitis C pandemic has been systematically studied and characterized in North America and Europe, but this important public health problem has not received equivalent attention in other regions. Aim: The objective of this systematic review was to characterize hepatitis C virus (HCV) epidemiology in selected countries of Asia, Australia and Egypt, i.e. in a geographical area inhabited by over 40% of the global population. Methodology: Data references were identified through indexed journals and non-indexed sources. In this work, 7770 articles were reviewed and 690 were selected based on their relevance. Results: We estimated that 49.3‐64.0 million adults in Asia, Australia and Egypt are anti-HCV positive. China alone has more HCV infections than all of Europe or the Americas. While most countries had prevalence rates from 1 to 2% we documented several with relatively high prevalence rates, including Egypt (15%), Pakistan (4.7%) and Taiwan (4.4%). Nosocomial infection, blood transfusion (before screening) and injection drug use were identified as common risk factors in the region. Genotype 1 was common in Australia, China, Taiwan and other countries in North Asia, while genotype 6 was found in Vietnam and other Southeast Asian countries. In India and Pakistan genotype 3 was predominant, while genotype 4w as found in Middle Eastern countries such as Egypt, Saudi Arabia and Syria. Conclusion: We recommend implementation of surveillance systems to guide effective public health policy that may lead to the eventual curtailment of the spread of this pandemic infection.

https://onlinelibrary.wiley.com/doi/pdf/10.1111/j.1478-3231.2011.02540.x

A systematic review of hepatitis C virus epidemiology in Asia, Australia and Egypt

We conducted an assessment of knowledge about blood borne pathogens (BBP) and use of universal precautions at first level care facilities (FLCF) in two districts of Pakistan. We conducted a cross-sectional survey and selected three different types of FLCFs ; public, general practitioners and unqualified practitioners through stratified random sampling technique. At each facility, we interviewed a prescriber, a dispenser, and a housekeeper for knowledge of BBPs transmission and preventive practices, risk perception, and use of universal precautions. We performed multiple linear regression to assess the effect of knowledge score (11 items) on the practice of universal precautions score (4 items- use of gloves, gown, needle recapping, and HBV vaccination). We interviewed 239 subjects. Most of the participants 128 (53%) were recruited from general practitioners clinics and 166 (69.5%) of them were dispensers. Mean (SD) knowledge score was 3.8 (2.3) with median of 4. MBBS prescribers had the highest knowledge score while the housekeepers had the lowest. Mean universal precautions use score was 2.7 ± 2.1. Knowledge about mode of transmission and the work experience alone, significantly predicted universal precaution use in multiple linear regression model (adR2 = 0.093). Knowledge about mode of transmission of blood borne pathogens is very low. Use of universal precautions can improve with increase in knowledge.

/pdf/poor-knowledge-predictor-of-nonadherence-to-universal-42di9sk7kd.pdf

Poor knowledge – predictor of nonadherence to universal precautions for blood borne pathogens at first level care facilities in Pakistan

Objective: To assess the magnitude and risk factors of the problem of depression in an elderly population of Pakistan. Method: A cross-sectional study was conducted using a sample of 402 people aged 65 and above visiting the Community Health Center of the Aga Khan University, Karachi. Questionnaire based interviews were conducted for data collection and the 15-Item Geriatric Depression Scale was used to screen for depression. Univariate and multivariate logistic regression analyses were performed to identify factors associated with depression. Results: Of the 402 participants; 69.7% (95% CI = ±4.5%) were men, 76.4% (95% CI = ±4.2%) were currently married, 36.8% (95% CI = ±5%) had received 11 or more years of education and 24.4% (95% CI = ±4.2%) were employed. The mean age was 70.57 years (SD = ±5.414 years). The prevalence of depression was found to be 22.9% (95% CI = ±4.1%) and multiple logistic regression analysis indicated that higher number of daily medications (p-value = 0.03), total number of health...

Prevalence and predictors of depression among an elderly population of Pakistan

There is very little information about the quality of life (QOL) of stroke survivors in LMIC countries with underdeveloped non communicable health infrastructures, who bear two thirds of the global stroke burden. We used a sequential mix methods approach. First, a quantitative analytical cross-sectional study was conducted on 700 participants, who constituted 350 stroke survivor and their caregiver dyads. QOL of stroke survivor was assessed via Stroke Specific Quality of Life Scale (SSQOLS) whereas QOL of caregivers was assessed through RAND-36. In addition; we assessed complications, psychosocial and functional disability of stroke survivors. Following this quantitative survey, caregivers were qualitatively interviewed to uncover contextually relevant themes that would evade quantitative surveys. Multiple linear regression technique was applied to report adjusted β-coefficients with 95% C.I. The QOL study was conducted from January 2014 till June 2014, in two large private and public centers. At each center, 175 dyads were interviewed to ensure representativeness. Median age of stroke survivors was 59(17) years, 68% were male, 60% reported depression and 70% suffered post-stroke complications. The mean SSQOLS score was 164.18 ± 32.30. In the final model severe functional disability [adjβ -33.77(-52.44, -15.22)], depression [adjβ-23.74(-30.61,-16.82)], hospital admissions [adjβ-5.51(-9.23,-1.92)] and severe neurologic pain [adjβ -12.41(-20.10,-4.77)] negatively impacted QOL of stroke survivors (P < 0.01). For caregivers, mean age was 39.18 ± 13.44 years, 51% were female and 34% reported high stress levels. Complementary qualitative study revealed that primary caregivers were depressed, frustrated, isolated and also disappointed by health services. The QOL of Stroke survivors as reported by SSQOLS score was better than compared to those reported from other LMIC settings. However, Qualitative triangulation revealed that younger caregivers felt isolated, depressed, overwhelmed and were providing care at great personal cost. There is a need to develop cost effective holistic home support interventions to improve lives of the survivor dyad as a unit. NCT02351778
 (Registered as Observational Study).

https://ecommons.aku.edu/cgi/viewcontent.cgi?article=1334&context=pakistan_fhs_mc_med_med

Quality of life after stroke in Pakistan

About 1.3 billion people are regular smokers world wide and every day between 8,200 and 9,900 young people start to smoke, risking rapid addiction to nicotine. Transition from high school to college is a critical period to adopt healthy habits and life style. Therefore, it is important to understand the factors that might influence their smoking habit. Our study aims to assess the influence of factors that encourage college students to smoke cigarettes. The data used in this survey were obtained from a representative sample of registered colleges of Karachi. A random sample of 576 male college students of ages ranging from 15–30 years was interviewed using a questionnaire administered by survey officers, by applying multi stage cluster sampling during the academic year 2004–2005. In this study, we found 26.7% of students had ever tried smoking, whereas 24%(95% CI: 21.0%–28.0%) of college students reported current smoking (that is whether one had smoked a cigarette in past 30 days). Among different age groups, prevalence of current smoking was 19.2% in 15–17 years, 26.5% in 18–20 years and 65% in 21 years and above. After adjusting for age of respondent, students in public schools were more likely to smoke as compared to students in private schools (adjusted OR = 2.3; 95% CI: 1.3–4.2). Students whose friends are smokers were 5 times more likely to smoke compared to those whose friends are non-smokers (adjusted OR = 4.8; 95%CI: 3.1 – 7.4). Those students having fathers with no formal schooling were more likely to smoke (adjusted OR = 2.2; 95% CI: 1.1–4.2) as compared to those whose fathers had some degree of education. Students having non-working mothers were more likely to smoke as compared to students with working mothers (adjusted OR = 2.8; 95% CI: 0.9–9.1). Students belonging to Bin Qasim (adjusted OR = 2.1; 95% C.I: 1.1–4.1) and Gadap town (adjusted OR = 2.1; 95%C.I) were more likely to smoke as compared to students residing in other towns. This study shows that smoking is strongly associated with age, which may suggest social tolerance to smoking in this setting and that social and educational variables appear to play a significant role in smoking among college students. Our study suggests that such factors should be taken into account when designing effective tobacco control programs among college students. This is an effort which has been done to reduce tobacco consumption among college students and introduce awareness programs to amend their health risk behavior.

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Correlates of cigarette smoking among male college students in Karachi, Pakistan

Our objective was to estimate the prevalence and evaluate factors associated with smok- ing among high school adolescents in Karachi, Pakistan. A school-based, cross-sectional survey was conducted in three towns in Karachi, namely, Gadap Town, Bin-Qasim Town and Malir Town, from January through May 2003. Two-stage cluster sampling stratified by school type was em- ployed to select schools and students. We recruited and interviewed 772 male students regarding socio-demographic factors, smoking history of students, their families/friends, number of siblings, and place of residence. The prevalence of smoking (30 days) among adolescents was 13.7%. Final multiple logistic regression analysis showed that after adjusting for age, ethnicity, and place of resi- dence, being a student at a government school (OR=1.6; 95%CI: 1.0-2.7), parental smoking (OR=1.7; 95%CI: 1.1-2.8), uncle smoking (OR=1.7; 95%CI: 1.2-2.8), peer smoking (OR=6.2; 95% CI: 3.9- 9.9), and spending leisure time outside home (OR=3.9; 95%CI 1.2-13.2) were significantly associ- ated with adolescent smoking.

Shafquat Rozi

Papers

Poor knowledge – predictor of nonadherence to universal precautions for blood borne pathogens at first level care facilities in Pakistan

Prevalence and predictors of depression among an elderly population of Pakistan

Quality of life after stroke in Pakistan

Correlates of cigarette smoking among male college students in Karachi, Pakistan

Prevalence and factors associated with current smoking among high school adolescents in Karachi, Pakistan.