Perceived Well-being Effects During the Implementation of a Self-tracking Technology

In recent years, both individuals and the healthcare sector have become more interested to measure and improve health and well-being by using different self-tracking technologies. However, the number of studies concerning the experiences that people have with these technologies is still rather limited. This study investigates the expectations and perceived short-term effects of using self-tracking technologies on users’ well-being. The focus is on the first weeks of usage i.e., the implementation phase. The study is qualitative in nature and based on thematic analysis of ten semi-structured interviews. The results reveal that the perceived well-being effects of using a self-tracking technology are relatively minor during the implementation phase and in line with the expectations. The increase in well-being is expected to occur in a longer time scale. Perceived psychological well-being is found to be affected the most during the implementation phase. The results also reveal interesting findings regarding the use of self-tracking technologies. The results are discussed and several important implications are drawn

CRITICAL EXPERIENCES DURING THE IMPLEMENTATION OF A SELF-TRACKING TECHNOLOGY

Emerging technologies have brought several new ways to track, measure and evaluate own activity. Well-being, nutrition, physical training, mood, and sleep are a few of the various measures that can be self-tracked by different technological solutions. At the same time, people are becoming more interested in themselves and their own well-being, and constant tracking of own activities is getting more and more popular both on individual level as well as in general healthcare. This study examines critical experiences that occur during the implementation phase of the innovation-decision process and their influence to adopting or rejecting a self-tracking technology. The study is qualitative in nature and empirically based on thematic analysis of ten semi-structured interviews used together with the critical incident technique. The theoretical basis of the study comes from two well-established technology acceptance models: unified theory of acceptance and use of technology 2 (UTAUT2) and innovation-decision process. The results reveal the experiences and factors that are important for users in terms of deciding whether to adopt or reject a self-tracking technology during the initial phase of implementation. The results are also reflected to UTAUT2 and the innovation-decision process

Higher hemoglobin levels are an independent risk factor for gestational diabetes

Incidence of gestational diabetes (GDM) has increased rapidly. It poses significant risks for both mother and fetus affecting also negatively their longer-term metabolic heath. We asked whether early pregnancy maternal hemoglobin (Hb) levels, indicative for tissue oxygenation, would affect mother's metabolic health and fetal outcome. We assessed in FinnGeDi, a Finnish multicenter case-control study for GDM (n = 1828), association of maternal 1st trimester Hb levels with metabolic parameters and perinatal outcome. Our data show that mothers with GDM had higher Hb levels compared to controls (mean difference 1.746 g/L). Hb levels associated positively with pre-pregnancy body mass index (BMI), fasting glucose levels and glucose levels in a glucose tolerance test and systolic and diastolic blood pressure (bp) levels. When assessed in quartiles the highest Hb quartile had more chronic and gestational hypertension and the most adverse outcome of the metabolic parameters, dose-dependency seen in bp, BMI and glucose levels. In a multivariable regression analysis Hb levels remained an independently associated parameter for GDM after adjusting for key covariates (OR 1.019, 95% CI [1.007; 1.031]). In conclusion, higher maternal Hb levels within the normal variation are an independent risk factor for GDM in this population but have little effect on perinatal outcome.Peer reviewe

Higher hemoglobin levels are an independent risk factor for gestational diabetes

Incidence of gestational diabetes (GDM) has increased rapidly. It poses significant risks for both mother and fetus affecting also negatively their longer-term metabolic heath. We asked whether early pregnancy maternal hemoglobin (Hb) levels, indicative for tissue oxygenation, would affect mother's metabolic health and fetal outcome. We assessed in FinnGeDi, a Finnish multicenter case-control study for GDM (n = 1828), association of maternal 1st trimester Hb levels with metabolic parameters and perinatal outcome. Our data show that mothers with GDM had higher Hb levels compared to controls (mean difference 1.746 g/L). Hb levels associated positively with pre-pregnancy body mass index (BMI), fasting glucose levels and glucose levels in a glucose tolerance test and systolic and diastolic blood pressure (bp) levels. When assessed in quartiles the highest Hb quartile had more chronic and gestational hypertension and the most adverse outcome of the metabolic parameters, dose-dependency seen in bp, BMI and glucose levels. In a multivariable regression analysis Hb levels remained an independently associated parameter for GDM after adjusting for key covariates (OR 1.019, 95% CI [1.007; 1.031]). In conclusion, higher maternal Hb levels within the normal variation are an independent risk factor for GDM in this population but have little effect on perinatal outcome.Peer reviewe

Elevated CRP levels indicate poor progression-free and overall survival on cancer patients treated with PD-1 inhibitors

Background Anti-PD-(L)1 agents are standard of care treatments in various cancers but predictive factors for therapy selection are limited. We hypothesised that markers of systemic inflammation would predict adverse outcomes in multiple cancers treated with anti-PD-(L)1 agents. Material and methods Discovery cohort consisted of patients who were treated with anti-programmed cell death protein-1 (PD-1) agents for advanced melanoma (MEL), non-small cell lung cancer (NSCLC) or renal and bladder cancers (GU) at Oulu University Hospital and had pretreatment C reactive protein (CRP), or neutrophil/lymphocyte values available. As a validation cohort, we collected patients treated with anti-PD-1 agents from three other hospitals in Finland. Results In the discovery cohort (n=56, MEL n=23, GU n=17, NSCLC n=16), elevated CRP over the upper limit of normal (ULN) (>10mg/mL) indicated poor progression-free (PFS; p=0.005) and overall survival (OS; p=0.000004) in the whole population and in MEL subgroup. Elevated neutrophil-to-lymphocyte ratio (>2.65) also indicated inferior PFS (p=0.02) and OS (p=0.009). In the validation cohort (n=107,MEL n=44, NSCLC n=42, GU n=17, other n=4), CRP over ULN also was a strong indicator for poor PFS (p=0.0000008), and OS (p=0.000006) in the whole population, and in MEL and NSCLC also. Conclusions Systemic inflammation suggested by elevated CRP is a very strong indicator for adverse prognosis on patients treated with anti-PD-(L)1 agents and has a potential negative predictive value for treatment with anti-PD-(L)1 agents. Prospective trials should investigate whether patients with elevated CRP gain any significant benefit from anti-PD-1 therapy.Peer reviewe

Pregnancy outcomes according to the definition of gestational diabetes

Objective To assess the frequency and perinatal outcomes of gestational diabetes mellitus (GDM) defined by the criteria according to the International Association of Diabetes in Pregnancy Study Group (IADPSG) and the National Institute for Health and Care Excellence (NICE) diagnostic criteria for GDM. Design A retrospective cohort study. Setting Six secondary and tertiary delivery hospitals in Finland in 2009. Population Pregnant women (N = 4,033) and their offspring. Methods We used data on comprehensive screening of pregnant women with a 2-h 75-g oral glucose tolerance test (OGTT), performed between gestational weeks 24 and 40. OGTT glucose concentrations were used to identify women who fulfilled IADPSG and NICE criteria. While cut-offs according to Finnish national criteria partly overlapped with both criteria, a subgroup of IADPSG- or NICE-positive GDM women remained undiagnosed by Finnish criteria and hence non-treated. They were analysed as subgroups and compared to controls who were negative with all cut-offs. Main outcome measures GDM prevalence, birth weight SD score (BWSDS), large for gestational age (LGA) and caesarean section (CS) rates. Results Among the 4,033 women screened for GDM, 1,249 (31.0%) and 529 (13.1%) had GDM according to the IADPSG and NICE criteria, respectively. The LGA rate was similar in both groups. Regardless of the diagnostic criteria, women with GDM had a higher risk of induced delivery and CSs than controls. In IADPSG-positive non-treated women, offspring’s BWSDS and CS rate were higher than in controls. Conclusions GDM prevalence was 2.4-fold higher according to the IADPSG compared with the NICE criteria but the LGA rate did not differ. BWSDS and CS rate were increased already with mild untreated hyperglycaemia.Peer reviewe

Independent and concomitant associations of gestational diabetes and maternal obesity to perinatal outcome : A register-based study

Aims Gestational diabetes (GDM) is often accompanied by maternal overweight. Our aim was to evaluate the separate and concomitant effects of GDM and maternal overweight/obesity on perinatal outcomes. Methods We used the Finnish Medical Birth Register to identify all 24,577 women with a singleton pregnancy who delivered in 2009 in Finland and underwent an oral glucose tolerance test (OGTT). Women were divided into groups according to the result of OGTT (GDM/no GDM) and pre-pregnancy body mass index (BMI): normal weight (= 30.0 kg/m(2)). Primary outcomes included macrosomia, caesarean delivery, and treatment at neonatal ward. Normal weight women without GDM constituted the reference group. Results Compared to reference group, overweight or obese women without GDM had an increased risk of macrosomia [odds ratio adjusted for age, parity, smoking and socio-economic status (aOR) 1.18 (95% CI 1.09-1.28) and 1.50 (95% CI 1.19-1.88)], and caesarean delivery [aORs 1.17 (95% CI 1.07-1.28) and 1.52 (95% CI 1.37-1.69)], respectively. In normal weight GDM women the risk of macrosomia [aOR 1.17 (95% CI 0.85-1.62)] and caesarean delivery [aOR 1.10 (95% CI 0.96-1.27)] was not significantly increased as compared to normal weight women without GDM. GDM increased the risk of treatment at neonatal ward in all BMI categories and maternal obesity without GDM was also a risk factor for treatment at neonatal ward. Interaction p values between BMI and GDM on these outcomes were Conclusions Maternal overweight and obesity without GDM increased the risk of macrosomia and caesarean delivery when compared to the reference group. These risks were amplified when overweight/obesity was accompanied by GDM. Obesity without GDM was a risk factor for treatment at neonatal ward; GDM increased this risk in all BMI categories. Our results suggest that especially maternal obesity should be considered as a risk factor for adverse pregnancy outcomes and GDM further amplifies this risk.Peer reviewe

Sleep improvement intervention and its effect on patients' sleep on the ward

Aim and objectiveThe aim of the study was to investigate how the sleep improvement interventions developed for the wards were associated with patients’ sleep. The objective was to promote patients’ sleep.BackgroundThe quality of sleep is vital for patients’ health and recovery from illness. However, patients generally sleep poorly during hospitalisation. Sleep-disturbing factors are connected to the hospital environment, patients’ physical illness, emotional state and the activities of the staff. Many sleep-disturbing factors can be influenced by appropriate nursing interventions.DesignA two-group intervention study including the development of nursing interventions aimed at supporting patients’ sleep. One group received a sleep promotion intervention and the other received standard care. Both groups evaluated their sleep in the morning.MethodsA survey of participants’ sleep evaluations was collected with the five-item Richards-Campbell Sleep Questionnaire. The data were analysed statistically. The STROBE checklist was used to report the study.ResultsFrom the participants’ perspective, sleep was better in the intervention group, even though statistically significantly only among men. The pain intensity correlated with sleep quality. The number of patients in the room or whether participants had had an operation had no effect on their sleep evaluations.ConclusionsInterventions targeted at supporting and promoting the sleep quality of hospital inpatients may be effective. They should be developed in collaboration with patients and nurses. Several nursing interventions can be proposed to promote better sleep among patients; however, more research is needed to confirm the results. Sleep promotion should include both standardised protocols and individualised sleep support.Relevance to clinical practiceInvesting in nursing interventions to promote patients’ sleep is important. Patients’ individual sleep-related needs should be part of their care plan. Training programmes that support nurses’ knowledge and skills of patients’ sleep promotion should be part of nursing education in healthcare organisations.</p

Cohort Profile : The Finnish Gestational Diabetes (FinnGeDi) Study

Peer reviewe