Physical Activity After Heart Surgery: Associations With Psychosocial and Sleep Factors

BACKGROUND

Heart surgery is an effective intervention for managing heart disease, the leading cause of death globally. After surgery, physical activity is key to improving patients' quality of life and decreasing mortality, but patients are frequently physically inactive after heart surgery.

OBJECTIVE

This cross-sectional pilot study aimed to examine how psychosocial and sleep factors influenced physical activity in patients after heart surgery. The mediating role of sleep factors between psychosocial factors and physical activity was also examined.

METHODS

Thirty-three patients who had undergone heart surgery were recruited. Psychosocial and sleep factors and physical activity were measured using an online survey and a wrist-worn ActiGraph for 7 days and nights.

RESULTS

The participants had heart surgery an average of about 7 years previously. They exceeded the recommended 150 minutes per week of moderate-intensity physical activity for Americans; however, 64% of them showed poor sleep quality (Pittsburgh Sleep Quality Index >5). Higher anxiety and depressive symptoms, lower self-efficacy, and greater sleep disturbances were associated with lower physical activity. Moreover, self-efficacy, sleep duration, sleep disturbance, sleep efficiency, and wake after sleep onset were predictors for physical activity. No mediating role of sleep factors was observed between psychosocial factors and physical activity.

CONCLUSIONS

Psychosocial and sleep factors should be considered when developing and implementing physical activity strategies for patients after heart surgery. Researchers should examine the relationships among the study variables with larger samples of postsurgical cardiac patients during different periods after heart surgery.

Organization and quality of care in patient-sharing networks

Healthcare systems seek to provide continuous and coordinated care of high quality. However, patient pathways in the ambulatory sector may differ and result in various provider units. Our aim was to analyze whether health outcomes and the quality of care differ between different types of patient-sharing physician networks. We analyzed administrative data on patients with diagnosed heart failure in Germany. We investigated distinct networks of ambulatory physicians by using a modular-based optimization algorithm and characterized each network as having either a key physician at its center or some other kind of configuration. We subsequently conducted multilevel regression analyses to estimate the impact a network's configuration has on hospitalization rates and guideline-based process indicators. We identified 1,847 networks, of which 27% had a key physician at their center. Compared to physician networks with other configurations, networks that had a key physician at their center were associated in our regression analysis with (a) somewhat lower hospitalization rates, and (b) heart failure treatment that was more frequently in concordance with the German national treatment guideline. Organizing healthcare for people with chronic disease into units that have a key physician at their center and include the relevant specialists may foster treatment that is effective and of higher quality.

Impact of the family doctor system on the continuity of care for diabetics in urban China: a difference-in-difference analysis

OBJECTIVES

Our study aimed to examine whether the family doctor system can improve continuity of care for patients with diabetes.

DESIGN

Registry-based, population-level longitudinal cohort study.

SETTING

Linked data from the administrative Health Information System and the Health Insurance Claim Databases in a sample city in eastern China.

PARTICIPANTS

30 451 insured patients who were diagnosed with diabetes before January 2015 in the sample city, with ≥2 outpatient visits per year during 2014-2017. Diabetics in the intervention group had been registered with family doctor teams from 2015 to 2017, while those who had not registered were taken as the control group.

INTERVENTIONS

The family doctor system was established in China mainly to strengthen primary care and rebuild referral systems. Residents were encouraged to register with family doctors to obtain continuous health management especially for chronic disease management.

OUTCOME MEASURES

Continuity of care was measured by the Continuity of Care Index (COCI), Usual Provider Continuity Score (UPCS) and Sequential Continuity of Care Index (SECON) in 2014-2017.

RESULTS

COCI, UPCS and SECON of all diabetics in this study increased between 2014 and 2017. A difference-in-difference approach was applied to measure the net effect of the family doctor system on continuity of care. Our model controlled for demographic and socioeconomic characteristics, and severity of disease at baseline. Compared with the control group, diabetics registered with family doctors obtained an average 0.019 increase in COCI (SE 0.002) (p<0.01), a 0.016 increase in UPCS (SE 0.002) (p<0.01) and a 0.018 increase in SECON (SE 0.002) (p<0.01).

CONCLUSION

This study provides evidence that the family doctor system can effectively improve continuity of care for patients with diabetes, which has substantial policy implications for further primary care reform in China.

Patient-reported continuity of care and the association with patient experience of cardiovascular prevention: an observational study in Germany

Background

Cardiovascular diseases are often accompanied by comorbidities, which require good coordination of care. Especially in fragmented healthcare systems, it is important to apply strategies such as case management to achieve high continuity of care. The aim of this study was to document continuity of care from the patients’ perspective in ambulatory cardiovascular care in Germany and to explore the associations with patient-reported experience of cardiovascular prevention.

Methods

This cross-sectional observational study was performed in primary care practices in Germany. The study included patients with three recorded chronic diseases, including coronary heart disease. Continuity of care was measured with the Nijmegen Continuity Questionnaire, which addresses personal/relational and team/cross-boundary continuity. From aspects of medical care and health-related lifestyle counselling a patient-reported experience of cardiovascular prevention index was formed with a range of 0–7. The association between continuity of care within the family practice and patient-reported experience of cardiovascular prevention was examined, using a linear multilevel regression model that adjusted for sociodemographics, structured care programme and numbers of contacts with the family practice.

Results

Four hundred thirty-five patients from 26 family practices participated. In a comparison between general practitioners (GPs) and cardiologists, higher values for relational continuity of care were given for GPs. Team/cross-boundary continuity for ‘within the family practice’ had a mean of 4.0 (standard deviation 0.7) and continuity between GPs and cardiologists a mean of 3.8 (standard deviation 0.7). Higher personal continuity of care for GPs was positively associated with patient-reported experience (b = 0.75, 95% CI 0.45–1.05, P < 0.001).

Conclusions

Overall, there was high patient-reported continuity, which positively influenced the experience of cardiovascular prevention. Nevertheless, there is potential for improvement of personal continuity of the cardiologists and team/cross-boundary continuity between GPs and cardiologists. Structured care programs may be able to support this.

Trial registration

We registered the study prospectively on 7 November 2019 at the German Clinical Trials Register (DRKS) under ID no. DRKS00019219.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12875-022-01788-7.

Association between continuity of care (COC), healthcare use and costs: what can we learn from claims data? A rapid review

Objective

To describe how longitudinal continuity of care (COC) is measured using claims-based data and to review its association with healthcare use and costs.

Research design

Rapid review of the literature.

Methods

We searched Medline (PubMed), EMBASE and Cochrane Central, manually checked the references of included studies, and hand-searched websites for potentially additional eligible studies.

Results

We included 46 studies conducted in North America, East Asia and Europe, which used 14 COC indicators. Most reported studies (39/46) showed that higher COC was associated with lower healthcare use and costs. Most studies (37/46) adjusted for possible time bias and discussed causality between the outcomes and COC, or at least acknowledged the lack of it as a limitation.

Conclusions

Whereas a wide range of indicators is used to measure COC in claims-based data, associations between COC and healthcare use and costs were consistent, showing lower healthcare use and costs with higher COC. Results were observed in various population groups from multiple countries and settings. Further research is needed to make stronger causal claims.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12913-022-07953-z.

Using social network analysis methods to identify networks of physicians responsible for the care of specific patient populations

BACKGROUND

Coordinating health care within and among sectors is crucial to improving quality of care and avoiding undesirable negative health outcomes, such as avoidable hospitalizations. Quality circles are one approach to strengthening collaboration among health care providers and improving the continuity of care. However, identifying and including the right health professionals in such meetings is challenging, especially in settings with no predefined patient pathways. Based on the Accountable Care in Germany (ACD) project, our study presents a framework for and investigates the feasibility of applying social network analysis (SNA) to routine data in order to identify networks of ambulatory physicians who can be considered responsible for the care of specific patients.

METHODS

The ACD study objectives predefined the characteristics of the networks. SNA provides a methodology to identify physicians who have patients in common and ensure that they are involved in health care provision. An expert panel consisting of physicians, health services researchers, and data specialists examined the concept of network construction through informed decisions. The procedure was structured by five steps and was applied to routine data from three German states.

RESULTS

In total, 510 networks of ambulatory physicians met our predefined inclusion criteria. The networks had between 20 and 120 physicians, and 72% included at least ten different medical specialties. Overall, general practitioners accounted for the largest proportion of physicians in the networks (45%), followed by gynecologists (10%), orthopedists, and ophthalmologists (5%). The specialties were distributed similarly across the majority of networks. The number of patients this study allocated to the networks varied between 95 and 45,268 depending on the number and specialization of physicians per network.

CONCLUSIONS

The networks were constructed according to the predefined characteristics following the ACD study objectives, e.g., size of and specialization composition in the networks. This study shows that it is feasible to apply SNA to routine data in order to identify groups of ambulatory physicians who are involved in the treatment of a specific patient population. Whether these doctors are also mainly responsible for care and if their active collaboration can improve the quality of care still needs to be examined.

Relationship between continuity of care and clinical outcomes in patients with dyslipidemia in Korea: a real world claims database study

Dyslipidemia is a risk factor for atherosclerotic cardiovascular disease and requires proactive management. This study aimed to investigate the association between care continuity and the outcomes of patients with dyslipidemia. We conducted a retrospective cohort study on patients with dyslipidemia by employing the Korea National Health Insurance claims database during the period 2007–2018. The Continuity of Care Index (COCI) was used to measure continuity of care. We considered incidence of atherosclerotic cardiovascular disease as a primary outcome. A Cox's proportional hazards regression model was used to quantify risks of primary outcome. There were 236,486 patients newly diagnosed with dyslipidemia in 2008 who were categorized into the high and low COC groups depending on their COCI. The adjusted hazard ratio for the primary outcome was 1.09 times higher (95% confidence interval: 1.06–1.12) in the low COC group than in the high COC group. The study shows that improved continuity of care for newly-diagnosed dyslipidemic patients might reduce the risk of atherosclerotic cardiovascular disease.

[A systematic review on population-based indicators of the quality of care in formal and informal provider networks and their application in health economic evaluations]

BACKGROUND

Provider networks in healthcare can emerge as either formal or informal networks. For sector-encompassing population-based quality measurement in informal networks, which allows for conclusions about the cost-effectiveness of care for home-dwelling persons in need of care, a comprehensive review on suitable quality indicators that can be derived from German social health insurance claims data is still lacking.

OBJECTIVE

Primary review questions: Which population-based indicators of quality of care in formal and informal provider networks are described in the international literature? Which of these indicators are used as outcome parameters in health economic evaluations, and what are the methodological approaches in these evaluations? Rating approaches and methods for establishing thresholds as well as the validity and suitability of quality indicators to predict quality of care as well as the potential for the calculation of quality indicators based on German social health insurance claims data are included in the secondary review questions.

SEARCH METHODS

Databases searched in May 2017 and July 2018 included PubMed, The Cochrane Library und NHS EED, CINAHL, GeroLit and EconLit. In addition, we hand-searched references of the studies identified and screened the project database Health Services Research Germany.

SELECTION CRITERIA

Quantitative design, German or English language. Any kind of formal or informal network for which distinct members regarding single providers are named and population-based quality indicators for adults (18 years or older) are described.

DATA COLLECTION AND ANALYSIS

Two authors (Cohen's Kappa = 0.64) independently screened titles, abstracts and full texts. A third independent reviewer was consulted in cases of uncertainty regarding the inclusion of studies. Critical appraisal was conducted using AMSTAR, the Cochrane Risk-of-Bias Tool, the Newcastle-Ottawa Scale (NOS), the Appraisal Tool for Cross-Sectional Studies (AXIS) and the criteria of the Drummond Checklist.

MAIN RESULTS

137 studies were included, five of which evaluated informal provider networks and applied indicators for medical conditions such as diabetes mellitus or heart failure or events like ambulatory care-sensitive hospitalisations, which were also utilized for formal networks. Five out of 14 health economic evaluations also assessed associations between costs and quality of care. The majority of studies did not include evidence on rating approaches and/or thresholds. Even though the validity and reliability of the used data in single studies is frequently discussed, only one in four of the included studies undertook a discussion of the suitability of the applied indicators. 121 studies explored indicators that can, in whole or in part, potentially be calculated on the basis of German social health insurance claims data and that target medical conditions such as osteoarthritis, asthma, chronic pain, chronic obstructive pulmonary disease, cardiovascular disease, dementia, diabetes mellitus, osteoporosis or mental health disorders as well as ambulatory care-sensitive events, appropriate medication of the elderly and polypharmacy, preventive care and continuity of care.

AUTHORS' CONCLUSIONS

This systematic review identified quality indicators that were predominantly used in formal provider networks and, with sufficient testing and further development, include the possibility of being used for measuring the quality of care in informal networks. The need for further research on suitable approaches to measure the interactions of quality of care and costs and on the validity, reliability and predictive suitability of single indicators as well as the finding that quality indicators especially developed for the German ambulatory sector were rarely used in the included studies constitute promising starting points for both an intensified methodological debate and the critical discussion of issues concerning population-based, sector-encompassing measurement of quality of care in health services research.

[Patient-sharing networks : New approaches in the analysis and transformation of geographic variation in healthcare]

The analysis of geographic variations has spurred arguments that area of residence determines access to and quality of healthcare. In this paper we argue that unwarranted geographic variations can be traced back to actions of individual patients and their healthcare providers (doctors, hospitals). These actors interact in a complicated web of shared responsibilities. Designing effective interventions to reduce unwarranted geographic variations may therefore depend on methods to identify these interactions and communities of providers with a shared accountability. In the US, Canada, and Germany, routine data have been used to identify self-organized informal or virtual networks of physicians and hospitals, so-called patient-sharing networks (PSNs). This is an emerging field of analysis. We attempt to provide a brief report on the state of work in progress. It can be shown that variation between PSNs in a given area is effectively greater than variation between regions. While this suggests that reducing unwarranted variation needs to start at the level of PSN, methods to identify PSNs still vary widely. We compare epidemiological approaches and approaches based on graph theory and social network analysis. We also present some preliminary findings of exploratory analyses based on comprehensive claims data of physician practices in Germany. Defining PSNs based on usual provider relationships helps to create distinctive patient populations while PSNs may not be mutually exclusive. Social network analysis, on the other hand, appears better equipped to differentiate between provider communities with stronger and weaker ties; it does not yield distinctive patient populations. To achieve accountability and to support change management, analytic methods to describe PSNs still need refinement. There are first projects in Germany which use PSNs as an intervention platform in order to achieve improved cooperation and reduce unwarranted variation in their care processes.

Continuity of care and its effect on readmissions for COPD patients: A comparative study of Norway and Germany

BACKGROUND

This study compares continuity of care between Germany - a social health insurance country, and Norway - a national health service country with gatekeeping and patient lists for COPD patients before and after initial hospitalization. We also investigate how subsequent readmissions are affected.

METHODS

Continuity of Care Index (COCI), Usual Provider Index (UPC) and Sequential Continuity Index (SECON) were calculated using insurance claims and national register data (2009-14). These indices were used in negative binomial and logistic regressions to estimate incident rate ratios (IRR) and odds ratios (OR) for comparing readmissions.

RESULTS

All continuity indices were significantly lower in Norway. One year readmissions were significantly higher in Germany, whereas 30-day rates were not. All indices measured one year after discharge were negatively associated with one-year readmissions for both countries. Significant associations between indices measured before hospitalization and readmissions were only observed in Norway - all indices for one-year readmissions and SECON for 30-day readmissions.

CONCLUSION

Our findings indicate higher continuity is associated with reductions in readmissions following initial COPD admission. This is observed both before and after hospitalization in a system with gatekeeping and patient lists, yet only after for a system lacking such arrangements. These results emphasize the need for policy strategies to further investigate and promote care continuity in order to reduce hospital readmission burden for COPD patients.

mHealth Technologies for Palliative Care Patients at the Interface of In-Patient to Outpatient Care: Protocol of Feasibility Study Aiming to Early Predict Deterioration of Patient's Health Status

Background

Palliative care patients are a particularly vulnerable population and one of the critical phases in patients’ trajectories is discharge from specialized in-patient palliative care into outpatient care, where availability of a palliative care infrastructure is highly variable. A relevant number of potentially avoidable readmissions and emergency visits of palliative patients is observed due to rapid exacerbation of symptoms indicating the need for a closer patient monitoring. In the last years, different mHealth technology applications have been evaluated in many different patient groups.

Objective

The aim of our study is to test feasibility of a remote physical and social tracking system in palliative care patients.

Methods

A feasibility study with explorative, descriptive study design, comprised of 3 work packages. From the wards of the Clinic of Radiation-Oncology at the University Hospital Zurich, including the specialized palliative care ward, 30 patients will be recruited and will receive a mobile phone and a tracking bracelet before discharge. The aim of work package A is to evaluate if severely ill patients accept to be equipped with a tracking bracelet and a mobile phone (by semiquantitative questionnaires and guideline interviews). Work package B evaluates the technical feasibility and quality of the acquired electronic health data. Work package C will demonstrate whether physical activity parameters, such as step count, sleep duration, social activity patterns like making calls, and vital signs (eg, heart rate) do correlate with subjective health data and can serve as indicator to early detect and predict changes in patients’ health status. Activity parameters will be extracted from the mobile phone’s and wristband’s sensor data using signal processing methods. Subjective health data is captured via electronic version of visual analog scale and Distress Thermometer as well as the European Organization for Research and Treatment of Cancer – Quality of Life Questionnaire C30 in paper version.

Results

Enrollment began in February 2017. First study results will be reported in the middle of 2018.

Conclusions

Our project will deliver relevant data on patients’ acceptance of activity and social tracking and test the correlation between subjective symptom assessment and objective activity in the vulnerable population of palliative care patients. The proposed study is meant to be preparatory work for an intervention study to test the effect of wireless monitoring of palliative care patients on symptom control and quality of life.