How to delineate the general profiles of functionality of citizen’s aged 65 years and old as a function of Its age

Objectives: A core set of International Classification of Functioning, Disability and Health codes was used, to ascertain the general profile of functionality as a function of biological and sociodemographic characteristics, notably the age of the citizens. Methods: Data were collected by health professionals in the participants’ houses. The factorial validity of the construct was assessed by a confirmatory factor analysis. An ordinal regression model was built to identify the general profile of functionality as a function of age. Results: It is expected that people under the age of 74 years will present no functional problems and that, after age 74, the most likely functionality problem will be a “MILD problem”. Discussion: The functional profile of each elderly is interrelated with his or her sociodemographic context as well as with the overarching biological, cultural, and environmental characteristics of society. A progressive decrease in GPF occurs with age. Conclusions: The evaluation of each person (even those with no perceived or incipient levels of functional impairment who are at risk of progressing to a more severe disability) about what are the factors that are related with this functional decline as people get older, allows identify the respective nursing interventions to be developed.This work was supported by 4IE project (0045-4IE-4-P) funded by the Interreg V-A Espanha-Portugal (POCTEP) 2014-2020 program

Arable and forest land user rent in a peri-urban district, Ghana

Land-use policies meant to mitigate deforestation activities in Ghana will have to consider the heterogeneity of the drivers of arable and forest land degradation. This would help avoid the one-size fits all approach to solving this problem. The urgency for this realisation is premised on the recent increasing monetary incentive to convert arable and forest land to other land uses in peri-urban Ghana. This study hypothesised that there is no significant relationship between land rent and the conversion probability from arable and forest land to other land uses such as commercial, industrial and residential land uses in Bosomtwe, a peri-urban district in the Ashanti region of Ghana. Four-hundred and one usufruct or land-owning households and individual landowners participated through a three-stage sampling procedure. The results indicated a significant relationship between higher land rent and conversion probability from arable land to other land uses such as commercial, industrial and residential land uses. Specifically, receiving land rent above GH¢400 (OR = 1.979) predicted the outcome variable in all three models. Moreover, being a female (OR = 0.612), ageing: 56 and 65 (OR = 2.158) and 76 and above (OR = 11.781), traders/food vendors (OR = 0.423) and widows (OR = 2.050) had some odds of predicting the outcome variable. The study recommends a reformation of government land use conversion policies and decisions in collaboration with landowners, to include parameters which assess the effect and benefits of land conversion decisions on biodiversity before leasing out land rights

Erratum: Correction to: Religion and health: exploration of attitudes and health perceptions of faith healing users in urban Ghana (BMC public health (2018) 18 1 (1358))

It was highlighted that the original article [1] contained a typesetting error in the name of Razak M. Gyasi. This was incorrectly captured as Razak M. Gyasi Mohammed in the original article which has since been updated

Lessening barriers to healthcare in rural Ghana: Providers and users' perspectives on the role of mHealth technology. A qualitative exploration

Background: Key barriers to healthcare use in rural Ghana include those of economic, social, cultural and institutional. Amid this, though rarely recognised in Ghanaian healthcare settings, mHealth technology has emerged as a viable tool for lessening most healthcare barriers in rural areas due to the high mobile phone penetration and possession rate. This qualitative study provides an exploratory assessment of the role of mHealth in reducing healthcare barriers in rural areas from the perspective of healthcare users and providers. Method: Semi-structured interviews were conducted with 30 conveniently selected healthcare users and 15 purposively selected healthcare providers within the Birim South District in the Eastern Region of Ghana between June 2017 and April 2018. Data were thematically analysed and normative standpoints of participants were presented as quotations. Results: The main findings were that all the healthcare users had functioning mobile phones, however, their knowledge and awareness about mHealth was low. Meanwhile, rural health care users and providers were willing to use mHealth services involving phone call in the future as they perceived the technology to play an important role in lessening healthcare barriers. Nevertheless, factors such as illiteracy, language barrier, trust, quality of care, and mobile network connectivity were perceived as barriers associated with using mHealth in rural Ghana. Conclusion: The support for mHealth service is an opportunity for the development of synergistic relationship between health policy planners and mobile network companies in Ghana to design efficient communication and connectivity networks, accessible, localised, user-friendly and cost-effective mobile phone-based health programmes to assist in reducing healthcare barriers in rural Ghana

A nursing care intervention model for elderly people adopting self-care as a central concept

Objectives: A core set of International Classification of Functioning, Disability and Health codes was used, to ascertain the general profile of functionality as a function of biological and sociodemographic characteristics and to determine systematized nursing interventions in accordance with self-care needs identified with the study of self-care behavior, in elderly living in extensive and sparsely populated rural areas. Methods: Data were collected by health professionals in the participants’ houses. An exploratory factor analysis allowed reducing data dimensions. A bar graph was set as a measurement tool of nursing care needs as a function of self-care behavior and the functional profile level. Results: Regarding the nursing care needs, the produced model allowed inferring that “Support and Relationships” is the functional concept that presents higher levels of functional problems and, consequently, more need for self-care interventions, as well as people with age 85 and more always present therapeutic self-care deficits. Conclusions: The developed nursing care model might contribute to the development of health programs and a multidisciplinary/home support network that is more specific and effective at promoting functionality, preventing and compensating for disabilities, and enabling people to remain in their homes, with the quality of life that they deserve. This is a model a model of nursing care centered on the person and their caregiver, based on self-care

Knowledge, attitude, and use of mHealth technology among students in Ghana: A university-based survey

Background: Interest in mHealth interventions, defined as the use of mobile phones to access healthcare is increasingly becoming popular globally. Given its technology-based applications, university students may be key clients of the mHealth adoption but studies are rare in sub-Saharan Africa. This study provides a snapshot and baseline evidence on knowledge, attitude and use of mHealth among university students in Ghana. Methods: Using a self-administered questionnaire, we collected data between April and June 2017 from 963 randomly sampled undergraduate students at the Kwame Nkrumah University of Science and Technology (KNUST). Pearson's Chi-square (χ 2) test assessed the differences between variables whilst logistic regression models estimated the independent predictors of use of mHealth with p < 0.05 as significant. Results: Knowledge on mHealth was moderately high. Specifically, more than half of the sample reported awareness of mHealth although the prevalence of use of mHealth stood at 51%. Logistic regressions revealed that mHealth use was positively associated with respondents' year (second year: OR = 1.704, 95% CI: 1.185-2.452, and third year: OR = 1.528, 95% CI: 1.060-2.202), and monthly income (OR:3.112, 95%CI: 1.180-8.211). However, ethnicity [(OR = 0.761, 95% CI (0.580-0.997)] was negatively associated with the use of mHealth technology. Conclusion: Findings suggest that knowledge of mHealth among university students is low. Policy and public health interventions for urgent awareness creation and promotion of use of mHealth as well as its possible integration into the mainstream healthcare system in Ghana are timely