Relationship of behavioral risk factors for chronic diseases and preventive health services utilization among adults, aged 50+, from eleven European countries

Perceptions of metabolic syndrome management utilization in relation to patient experience and health-related quality of life

Background

One factor for the poor health outcomes among adult people with metabolic syndrome (MetS) is poor utilization of disease management resources, which may be attributable to prior experience with pharmacists (PEwP) and perceptions of disease management resource utilization (PMU). Therefore, understanding patients' experience could be critical to improving their perceptions and promoting health outcomes.

Objectives

The study explored the influence of PEwP and PMU on the health-related quality of life (HRQoL) of people with MetS.

Methods

Data on perceptions of healthcare, medication, and pharmacy services utilization, PEwP, and HRQoL were collected using validated tools via an electronic survey. Chi-square and ordinal regression tests were used to predict the association between PMU, PEwP, and HRQoL. Also, mediation analysis through Haye's model 4 explored the direct and indirect relationship of PMU and PEwP on HRQoL.

Results

A total of 706 completed surveys were collected and used for analyses. On average, respondents reported three comorbidities. Of the respondents, 72.0% had good PEwP, while 32.6% had good PMU. Comparatively, 38.4% of those with good PEwP had good PMU, compared to 17.3% of those with poor PEwP. Also, 47.0% of those with good PMU had good HRQoL compared to 35.3% with poor PMU. The odds of having fair or good PMU were nearly triple (OR = 2.97, p < 0.001) among those with good PEwP compared to those with poor PEwP. Also, respondents with good PMU had 58% (OR = 1.58, p = 0.008) higher odds of having fair or good HRQoL. Analysis through bootstrap indicated a significant relationship (BootCI = -0.072, -0.022) between PEwP and HRQoL via respondents' PMU.

Conclusions

MetS individuals with good experience and PMU were more likely to have good HRQoL. Prior experience with pharmacists influenced PMU and indirectly impacted HRQoL. Therefore, pharmacists must consider patients' experience and management utilization perceptions to promote health outcome among people with MetS, while implementing interventions.

Multiple Behavioral Risk Factors As Assets for Chronic Disease Prevention: Observations From Urban Primary Care Settings in Crete, Greece

AIM

This study aimed to assess the health profile of patient-attendees visiting primary healthcare (PHC) practice settings in the midst of the COVID-19 pandemic and to explore the relationships between multiple behavioral risk factors (MBRFs) and consultation-driven health information. Multiple behavioral risk factors involve a variety of unhealthy behaviors that are associated with an increased prevalence of non-communicable diseases (NCDs).

SUBJECTS AND METHODS

The study design was based on a dataset analysis, afterward exploring the feasibility and diagnostic capacity of respiratory morbidity aspects from a study previously conducted. The study dataset contained information regarding socio-demographic characteristics, health habits, clinical information, and reported comorbidities from 183 primary care patient-attendees. A categorical regression analysis was performed, using as a numeric variable the multiple MBRFs (clustering of 0 to four factors) in order to examine relationships with the basic and clinical characteristics of the patient-attendees.

RESULTS

Based on this secondary analysis, it was found that the prevalence of MBRFs is quite common among patient-attendees visiting urban PHC facilities. The prevalence of current smoking, sleep deprivation, increased body weight, and medium/high perceived stress levels were 33.9%, 52.5%, 83.1%, and 35.0%, respectively. An increased occurrence of MBRFs might be significantly predicted by the lower age of patient-attendees (b = -0.221, p = 0.05), by the absence of gray hair at an early age (b = -0.144, p = 0.042), by the physical discomfort during activities (b = 0.191, p = 0.017), or by the lower oxygen saturation (b = -0.184, p = 0.004). Diabetes mellitus (25.1%) was the most prevalent condition, followed by bronchial asthma (18.6%) and depression (15.8%).

CONCLUSIONS

Lower age, absence of premature hair whitening, physical discomfort during activities, and lower oxygen saturation are linked with an increased occurrence of MBRFs, leading to a neglected way of living. Those factors could be used to alert researchers, policymakers, and PHC professionals to act accordingly in order to prevent or early diagnose NCDs.

Features of recording practices and communication during nursing handover: a cluster analysis

OBJECTIVE

To record and identify the characteristics of nursing handovers in a tertiary hospital.

METHOD

Observational study. Twenty-two nurses participated in 11 nursing handovers in 2015/16, using a recorded audio system and an unstructured observation form. Hierarchical cluster analysis was performed.

RESULTS

Thirty characteristics were identified. The nursing handovers were based on the clinical status of patients, and all nurses obtained specialized scientific knowledge specific to the clinical environment. The information used was not based on nursing diagnoses and not in accordance with best nursing clinical practice. The following four clusters emerged among the 30 characteristics: 1) the use of evidence-based nursing practice, 2) the nonuse of evidence-based nursing practice and its correlation with strained psychological environment, 3) patient management and the clinical skills/knowledge of nurses, and 4) handover content, quality of information transferred and specialization.

CONCLUSION

Multiple characteristics were observed. The majority of characteristics were grouped based on common features, and 4 main clusters emerged. The investigation and understanding of structural relations between these characteristics and their respective clusters may lead to an improvement in the quality of nursing health care services.

Social isolation and multiple chronic diseases after age 50: A European macro-regional analysis

BACKGROUND

Different studies have found that socioeconomic determinants influence the prevalence of chronic diseases in older people. However, there has been relatively little research on the incidence of how social isolation may affect them. We suggest that social isolation is a serious concern for people living with chronic illnesses.

METHOD

In this paper, we examine whether there is an increase in the propensity of being diagnosed with chronic illnesses because of a decrease in social relations for elderly Europeans. We have used a panel data for Waves 1-6 (2004-2015) of Survey on Health, Ageing and Retirement in Europe (SHARE) and logistic regressions. Besides, we have studied three geographic macro-areas (Nordic, Continental and Southern). Being diagnosed with three or more chronic diseases is considered as a dependent variable, and as social control variables we have used three isolation proxies (living alone, providing help to family, friends or neighbours and participation-club activities). Other socio-demographic variables are included (gender, age, educational level, job situation, area of location and quality of life).

RESULTS

Our results for the full sample indicate that people who participate in social activities have fewer probability of suffering from chronic diseases (OR = 0.70, 95% CI 0.54, 0.92). For people who live alone the reverse effect is observed (OR = 1.20, 95% CI 1.04, 1.39). Differences are shown by macro-areas, e.g. providing help (OR = 0.58, 95% CI 0.34, 0.97) isolation proxy is significant for the Nordic macro-area. Club-participation activities and living alone are significant for Continental and Southern macro-areas, respectively (OR = 0.65, 95% CI 0.55, 0.82; OR = 1.46, 95% CI 1.21, 1.77).

CONCLUSIONS

Social isolation increases the risk of being diagnosed with chronic illnesses. That is, people with greater social participation have lower risk of suffering from multiple chronic diseases. This risk linked to isolation, together with the traditional one associated with lifestyles, should be considered in the development of new public policies.