Using Andersen’s Behavioural Model of Health Services use to Examine usage of Intermittent Preventive Treatment of Malaria in Pregnancy in Nigeria

Background: Studies in Nigeria and elsewhere in sub-Saharan Africa have explored factors influencing usage of intermittent preventive treatment of malaria in pregnancy (IPTp). However, most of the studies are not model or theory-based, which provides less satisfactory guidance to malaria control programming. This study fills the knowledge gap by adapting the Andersen’s behavioural model of health services use to IPTp usage in Nigeria.Methods: This study adopted a cross-sectional design that utilised secondary data extracted from the 2018 Nigeria Demographic and Health Survey (NDHS). A weighted sample of 4,772 women who had deliveries in the past year preceding the survey was analysed. The outcome variable was usage of IPTp dichotomised into optimal or otherwise. The explanatory variables cut across individual and community levels, and were divided into predisposing, enabling and need factors in line with the theoretical constructs of the Andersen model. Two multilevel mixed-effects logistic regression models were fitted to identify the factors influencing optimal usage of IPTp. Analyses were performed using Stata 14. Statistical significance was set at 5%. Results: The realised level of optimal IPTp usage was 21.8%. The factors that either predispose or enables a pregnant woman to take optimal doses of IPTp are age, education, being employed, being autonomous on own healthcare, health insurance enrolment, partner education, receiving antenatal care in public health facility, rural residence, being resident in northern geo-political zones, community literacy level, and community perception of the consequences of malaria. Two significant need factors affecting optimal usage of IPTp are timing of first antenatal care contact and actual sleeping under mosquito bed net. Conclusion: Optimal usage of IPTp is low among pregnant women in Nigeria. There is need to devise additional public health education programme promoting IPTp usage through the formation of Advocacy, Communication and Social Mobilisation (ACSM) core group in every ward in all the local government areas in the country. In addition, health planners in the country should adopt the use of the Andersen model for assessing key determinants of IPTp usage among childbearing women in the country.

Factors Influencing Health-Related Quality of Life of People who Eat Alone

Background: The Andersen model was utilized to identify differences in the predictors of quality of life (QOL) between people who eat alone and those who do not. Methods: Data of 5,432 adults who responded to a question about having company for meals from the 2016 KNHANES were analyzed. Using the Andersen model, the parameters were classified into predisposing factors, enabling factors, need factors, and health behaviors; differences in the influences of each parameter category on QOL, depending on company during meals, were analyzed using logistic regression. Results: Individuals who ate alone included higher percentages of older women living alone, people with no medical aid or private insurance membership, low education and income, more chronic diseases, poorer perceived health, activity restrictions and unmet health care needs, and smoking and drinking, and lower health examination rates. Differences in the predictors of each domain of health-related QOL (HRQOL) were analyzed according to the absence of company during meals. Perceived health status was a predictor of all domains of HRQOL regardless of eating alone or not; age, activity restrictions, sex, and number of chronic diseases predicted two to four domains of QOL. Factors predicting QOL only among individuals who ate alone were sex (mobility, self-care, and usual activities), number of chronic diseases and health examination (pain/discomfort), and private insurance membership (anxiety/depression). Conclusion: The results verify the potential of using the Andersen model for measuring HRQOL. These findings highlight the need for tailored welfare services, social policies, and programs for people who eat without company.

Determinants of Healthcare Use Based on the Andersen Model: A Systematic Review of Longitudinal Studies

The aim was to give an overview of longitudinal observational studies investigating the determinants of healthcare use explicitly using the Andersen model. To this end, three electronic databases (Medline, PsycINFO and CINAHL) were searched (and an additional hand search was performed). Longitudinal observational studies examining the determinants of healthcare use (outpatient physician services and hospital stays) based on the Andersen model were included, whereas disease-specific samples were excluded. Study quality was evaluated. The selection of studies, extraction of data and assessment of the studies were conducted by two reviewers. The following determinants of healthcare use were displayed based on the (extended) Andersen model: predisposing characteristics, enabling resources, need factors and psychosocial factors. In sum, n = 10 longitudinal studies have been included in our systematic review. The included studies particularly showed a longitudinal association between increased needs and higher healthcare use. Study quality was rather high. However, several studies did not conduct robustness checks or clarify the handling of missing data. In conclusion, this systematic review adds to our current understanding of the factors associated with healthcare use (mainly based on cross-sectional studies). It showed mixed evidence with regard to the association between predisposing characteristics, enabling resources and healthcare use longitudinally. In contrast, increased need factors (in particular, self-rated health and chronic conditions) were almost consistently associated with increased healthcare use. This knowledge may assist in managing healthcare use. Since most of the studies were conducted in North America or Europe, future longitudinal studies from other regions are urgently required.

The Expected Demand for Elderly Care Services and Anticipated Living Arrangements Among the Oldest Old in China Based on the Andersen Model

Objective: The first aim of this study was to explore expected demands of the oldest old and their determinants for different types of elderly care services. The second aim was to investigate preferred choices of living arrangements among the oldest old and the influencing factors.Methods: Data of 4,738 participants aged ≥80 years were extracted from the Chinese Longitudinal Health Longevity Survey carried out in 2014. Using the Andersen model as the analysis framework, a multiple logistic regression analysis was performed to analyze the relationship between the expected elderly care services and living arrangements and other influencing factors. The odds ratios were calculated to indicate the relationship between the influencing factors and the dependent variables.Results: From the descriptive analysis results, we found that the oldest old showed high anticipated needs for home visits (83.5%) and health education (76.4%). Further, there existed a huge imbalance between the supply and demand of care services for the aged. Living with children is still the most important way of providing for the oldest old. The regression results showed that the expected demands for elderly care services and anticipated living arrangements among the oldest old in China are influenced by age, residence, housing property rights, economic status, loneliness, and activities of daily living (ADLs). The oldest old who are older without housing property rights, childless, and have restricted ADLs were more frequently observed to live in long-term care institutions.Conclusions: There is an inequality of the supply and expected demand for elderly care services, and living with children is still a preferred choice of the Chinese oldest old. Our findings indicate that when planning how to promote elderly care services among the oldest old, it is important to consider their expectations, especially for the subgroup that is relatively disadvantaged. Related policies should be developed to offer incentives to family caregivers when they live with the oldest old.

Predictors of Undiagnosed Diabetes among Middle-Aged and Seniors in China: Application of Andersen’s Behavioral Model

Undiagnosed diabetes is a threat to public health. This study aims to identify potential variables related to undiagnosed diabetes using Andersen’s behavioral model. Baseline data including blood test data from the China Health and Retirement Longitudinal Study (CHARLS) were adopted. First, we constructed health service related variables based on Andersen model. Second, univariate analysis and multiple logistic regression were used to analyze the relations of variables to undiagnosed diabetes. The strength of relationships was presented by odds ratios (ORs) and 95% confidence intervals (CIs). Finally, the prediction of multiple logistic regression model was assessed using the Receiver Operating Characteristic (ROC) curve and the area under the ROC curve (AUC). According to diagnosis standards, 1234 respondents had diabetes, among which 560 were undiagnosed and 674 were previously diagnosed. Further analysis showed that the following variables were significantly associated with undiagnosed diabetes: age as the predisposing factor; medical insurance, residential places and geographical regions as enabling factors; having other chronic diseases and self-perceived health status as need factors. Moreover, the prediction of regression model was assessed well in the form of ROC and AUC. Andersen model provided a theoretical framework for detecting variables of health service utilization, which may not only explain the undiagnosed reasons but also provide clues for policy-makers to balance health services among diverse social groups in China.

The trend in primary health care preference in China: a cohort study of 12,508 residents from 2012 to 2018

Background Residents’ preference for primary health care (PHC) determined their utilization of PHC. This study aimed to assess the determinants of PHC service preference among the residents and the trend in PHC service preference over time in China. Methods We employed the nationally representative longitudinal data from 2012 to 2018 based on the China Family Panel Studies. The analysis framework was guided by the Andersen model of health service utilization. We included a total of 12,508 individuals who have been successfully followed up in the surveys of 2012, 2014, 2016, and 2018 without any missing data. Logistic regressions were performed to analyze potential predictors of PHC preference behavior. Results The results indicated that individuals’ socio-economic circumstances and their health status factors were statistically significant determinants of PHC preference. Notably, over time, the residents’ likelihood of choosing PHC service represented a decreasing trend. Compare to 2012, the likelihood of PHC service preference decreased by 18.6% (OR, 0.814; 95% CI, 0.764–0.867) in 2014, 30.0% (OR, 0.700; 95% CI, 0.657–0.745) in 2016, and 34.9% (OR, 0.651; 95% CI, 0.611–0.694) in 2018. The decrease was significantly associated with the changes in residents’ health status. Conclusions The residents’ likelihood of choosing PHC service represented a decreasing trend, which was contrary to the objective of China’s National Health Reform in 2009. We recommend that policymakers adjust the primary service items in PHC facilities and strengthen the coordination of service between PHC institutions and higher-level hospitals.

Determinants of healthcare use based on the Andersen model: a study protocol for a systematic review of longitudinal studies

IntroductionA previous systematic review published in 2012 focused on the use of health services based on the Andersen model. Extending this review, we will exclusively focus on systematically synthesising longitudinal studies examining the determinants of healthcare use based on the Andersen model. Therefore, our aim of this systematic review is to provide an overview of longitudinal observational studies investigating the predictors of healthcare use explicitly using this model.Methods and analysisWe will search three electronic databases (Medline, PsycINFO and CINAHL). Furthermore, reference lists will be searched manually. Longitudinal observational studies will be investigating the determinants of healthcare use (in terms of use of outpatient physician services (like general practitioner’s visits or specialist visits in total) and hospitalisation). We will exclude disease-specific samples. Data extraction will focus on methods (eg, assessment of healthcare use), sample characteristics and main findings. A suitable tool will be used to assess the study quality. Study selection, data extraction and evaluation of study quality will be conducted by two reviewers. The findings will be presented by means of figures, summary tables, narrative summaries and meta-analysis (if possible).Ethics and disseminationNo primary data will be collected. Therefore, approval by an ethics committee is not required. Our findings are planned to be published in a peer-reviewed journal.PROSPERO registration numberCRD42020193198.

Decomposing Differences in Health Service Utilization between Older Rurul-to-Urban Migrant Workers and Older Rural Residents：What is Driving the Differences?

Background: In recent years, the widening gap of health service utilization between different groups in mainland China has become an important issue that cannot be avoided. Yet the related study on the health services utilization for older rural-to-urban migrant workers and comparative study on older rural-to-urban migrants in China is still in its infancy. Our study explored the health service utilization of the older rural-to-urban migrant workers based on a sinicization of the latest Andersen model, by comparison with the older rural dwellers. Further, our study revealed the facets and causes by decomposing the differences in the health service utilization into determinants.Methods: The data of China Labor-Force Dynamic Survey in 2016, the data of Urban Statistical Yearbook in 2016, and Statistical Bulletin were used. Our study applied the lasted Andersen Model according to China's currency situation. Before we studied the health service utilization, we used Coarsened Exact Matching to control the confounding factors to enhance the comparability of the two groups. The matched data were used to analyze the influencing factors. Fairlie decomposition method was used to analyze the differences and the sources of health service utilization between older rural-to-urban migrant workers and their rural counterparts.Results: After matching, the probability of two weeks outpatient of older rural-to-urban migrant workers (5.59%) was significantly lower than older rural dwellers (7.57%). The probability of inpatient of older rural migrant workers (5.59%) was significantly lower than older rural dwellers (9.07%). 17.98% of the total difference of two weeks outpatient utilization was due to the observed influence factors. 71.88% of the total difference of inpatient utilization was due to the observed influence factors. Income quantiles (49.57%), self-assessed health (80.91%), and sex ratio in the community (-102.29%) were significant in the differences of inpatient utilization.Conclusions: The findings have important implications for the difference in the health services utilization between older rural-to-urban migrant workers and older rural residents in China, urging the government to take full account of the heterogeneity. The results provide references for the healthcare policy reform in the process of active ageing in China.