Dataset Information

Impact of team-based community healthcare on preventable hospitalisation: a population-based cohort study in Taiwan.

ABSTRACT:

Objectives

The objective of this study was to explore the impact of Taiwan's Family Practice Integrated Care Project (FPICP) on hospitalisation.

Design

A population-based cohort study compared the hospitalisation rates for ambulatory care sensitive conditions (ACSCs) among FPICP participating and non-participating patients during 2011-2015.

Setting

The study accessed the FPICP reimbursement database of Taiwan's National Health Insurance (NHI) administration containing all NHI administration-selected patients for FPICP enrolment.

Participants

The NHI administration-selected candidates from 2011 to 2015 became FPICP participants if their primary care physicians joined the project, otherwise they became non-participants.

Interventions

The intervention of interest was enrolment in the FPICP or not. The follow-up time interval for calculating the rate of hospitalisation was the year in which the patient was selected for FPICP enrolment or not.

Primary outcome measures

The study's primary outcome measures were hospitalisation rates for ACSC, including asthma/chronic obstructive pulmonary disease (COPD), diabetes or its complications and heart failure. Logistic regression was used to calculate the ORs concerning the influence of FPICP participation on the rate of hospitalisation for ACSC.

Results

The enrolled population for data analysis was between 3.94 and 5.34 million from 2011 to 2015. Compared to non-participants, FPICP participants had lower hospitalisation for COPD/asthma (28.6‰-35.9‰ vs 37.9‰-42.3‰) and for diabetes or its complications (10.8‰-14.9‰ vs 12.7‰-18.1‰) but not for congestive heart failure. After adjusting for age, sex and level of comorbidities by logistic regression, participation in the FPICP was associated with lower hospitalisation for COPD/asthma (OR 0.91, 95% CI 0.87 to 0.94 in 2015) and for diabetes or its complications (OR 0.87, 95% CI 0.83 to 0.92 in 2015).

Conclusion

Participation in the FPICP is an independent protective factor for preventable ACSC hospitalisation. Team-based community healthcare programs such as the FPICP can strengthen primary healthcare capacity.

SUBMITTER: Jan CJ

PROVIDER: S-EPMC7888366 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:BackgroundHealth literacy (HL) has proven to be a determining factor influencing the health of individuals. Community health providers (CHPs) work on the front line of improving public HL. Increasing their understanding of HL and their ability to incorporate HL into healthcare can reduce obstacles in healthcare services. This study evaluated the effectiveness of an HL training program for CHP by using the hybrid online team-based learning (TBL) model.MethodsA quasi-experimental study and focused group interviews were conducted. We developed a six weeks HL online course for CHPs. The program included teaching videos for pre-class preparation, a 90-min online TBL model, and a case discussion in the last two weeks. Team application activities were designed for each class to enhance knowledge application. A total of 81 CHPs from 20 public health centers took the course and provided complete data for analysis. Learning effectiveness was evaluated based on the familiarity, attitude, and confidence in implementing HL practices, course satisfaction, and participants' learning experiences.ResultsThe comparison showed that the participants' familiarity with HL (4.29 ± 1.76 vs 6.92 ± 1.52, p < .001), attitude (7.39 ± 1.88 vs 8.10 ± 1.44, p = .004), and confidence in implementing HL practices (6.22 ± 1.48 vs 7.61 ± 1.34, p < .001) increased after the course. The average satisfaction with the teaching strategies was 4.06 ± .53 points, the average helpfulness to practice was 4.13 ± .55 points, and the overall feedback on satisfaction with learning was 4.06 ± .58 points (the full score was 5 points). According to the learning experience of the 20 participants in the focus group discussion, the experiences of teaching strategies and the learning experiences of the HL course were summed up into two categories, seven themes, and 13 subthemes. The results showed a positive experience with the hybrid online TBL program.ConclusionThe use of hybrid online TBL model is a feasible and valid approach for the HL training of CHPs. The result can serve as a reference for the on-the-job training of various healthcare workers.

Project description:BACKGROUND: Emerging evidence indicates an association between mental illness and poor quality of physical health care. To test this, we compared mental health clients (MHCs) with non-MHCs on potentially preventable hospitalisations (PPHs) as an indicator of the quality of primary care received. METHODS: Population-based retrospective cohort study of 139,208 MHCs and 294,180 matched non-MHCs in Western Australia from 1990 to 2006, using linked data from electoral roll registrations, mental health registry (MHR) records, hospital inpatient discharges and deaths. We used the electoral roll data as the sampling frame for both cohorts to enhance internal validity of the study, and the MHR to separate MHCs from non-MHCs. Rates of PPHs (overall and by PPH category and medical condition) were compared between MHCs, category of mental disorders and non-MHCs. Multivariate negative binomial regression analyses adjusted for socio-demographic factors, case mix and the year at the start of follow up due to dynamic nature of study cohorts. RESULTS: PPHs accounted for more than 10% of all hospital admissions in MHCs, with diabetes and its complications, adverse drug events (ADEs), chronic obstructive pulmonary disease (COPD), convulsions and epilepsy, and congestive heart failure being the most common causes. Compared with non-MHCs, MHCs with any mental disorders were more likely to experience a PPH than non-MHCs (overall adjusted rate ratio (ARR) 2.06, 95% confidence interval (CI) 2.03-2.09). ARRs of PPHs were highest for convulsions and epilepsy, nutritional deficiencies, COPD and ADEs. The ARR of a PPH was highest in MHCs with alcohol/drug disorders, affective psychoses, other psychoses and schizophrenia. CONCLUSIONS: MHCs have a significantly higher rate of PPHs than non-MHCs. Improving primary and secondary prevention is warranted in MHCs, especially at the primary care level, despite there may be different thresholds for admission in people with established physical disease that is influenced by whether or not they have comorbid mental illness.

Project description:AimsMultidisciplinary team (MDT) management in heart failure (HF) is recommended to reduce mortality and HF hospitalization. We investigated whether an MDT in a community-based HF unit (HFU) impacted patients' healthcare utilization (HCU) and costs.Methods and resultsA retrospective cohort study was conducted among HF patients who visited at least once in a regional community-based HFU, established for ambulatory specialist care for New York Heart Association Functional Classes III and IV, between January 2012 and August 2019. HCU data were obtained from the health maintenance organization's claims data for 12 months before and after first HFU visit. Multivariable generalized estimating equation models were specified for the annual average change in total healthcare utilization and hospitalization costs. Our cohort consisted of 962 patients, of whom 843 (87.6%) completed at least 12 months of follow-up (Group A) and 119 (12.4%) died within 12 months following their first visit (Group B). Both groups were comparable regarding sex, socio-economic status, Charlson Comorbidity Index, ischaemic heart disease, and/or carotid artery disease. Those who died within 12 months were older and had more hypertension, diabetes, chronic renal disease, and malignancy. There was a significant reduction in the total average annual HCU costs of the entire study population 12 months after the first HFU visit [$12 675 (±17 210) after vs. $13 188 (±15 011) before, P = 0.014]. This was driven by a reduction in costs among patients who completed 12 months of follow-up [$11 955 (±17 352) after vs. $13 112 (±15 268) before, P < 0.001], whereas an increase in these costs was observed among patients who died during follow-up [$17 774 (±15 292) after vs. $13 728 (±13 093) before, P = 0.015]. These opposite trends stem mainly from a decrease [$3540 (±8991) after vs. $4941 (±6806) before, P < 0.001] vs. increase [$10 932 (±11 660) after vs. $6733 (±7215) before, P = 0.002] in hospitalization costs of these groups, respectively. The multivariable models revealed that patients who died within 12 months following the first visit to the HFU demonstrated a significant increase of 57% in hospitalization costs following their first visit [relative risk (RR) = 1.57, 95% confidence interval (CI): 1.20-2.05, P = 0.001], whereas there was a decrease of 34% in the hospitalization costs of patients who completed 12 months of follow-up after their first visit (RR = 0.66, 95% CI: 0.54-0.81, P < 0.001). The entire cohort demonstrated 27% decrease in hospitalization costs following their first HFU visit (RR = 0.73, 95% CI: 0.62-0.87, P < 0.001).ConclusionsIntensification of therapy by a dedicated MDT significantly reduced healthcare utilization and costs, predominantly due to a decrease in hospitalizations.

Project description:ObjectivesThe quality of ambulatory care in Switzerland is widely unknown. Therefore, this study aimed to evaluate the recently proposed quality indicators (QIs) based on a nationwide healthcare claims database and determine their association with the risk of subsequent hospitalisation at patient-level.DesignRetrospective cohort study.SettingInpatient and outpatient claims data of a large health insurance in Switzerland covering all regions and population strata.Participants520 693 patients continuously insured during 2015 and 2016.MeasuresA total of 24 QIs were obtained by adapting the existing instruments to the Swiss national context and measuring at patient-level. The association between each QI and hospitalisation in the subsequent year was assessed using multiple logistic regression models.ResultsThe proportion of patients with good adherence to QIs was high for the secondary prevention of diabetes and myocardial infarction (glycated haemoglobin (HbA1c) control, 89%; aspirin use, 94%) but relatively low for polypharmacy (53%) or using potentially inappropriate medications (PIMs) in the elderly (PIM, 33%). Diabetes-related indicators such as the HbA1c control were significantly associated with a lower risk of hospitalisation (OR, 0.87; 95% CI, 0.80 to 0.95), whereas the occurrence of polypharmacy and PIM increased the risk of hospitalisation in the following year (OR, 1.57/1.08; 95% CI, 1.51 to 1.64/1.05 to 1.12).ConclusionsThis is the first study to evaluate the recently presented QIs in Switzerland using nationwide real-life data. Our study suggests that the quality of healthcare, as measured by these QIs, varied. The majority of QIs, in particular QIs reflecting chronic care and medication use, are considered beneficial markers of healthcare quality as they were associated with reduced risk of hospitalisation in the subsequent year. Results from this large practical test on real-life data show the feasibility of these QIs and are beneficial in selecting the appropriate QIs for healthcare implementation in general practice.

Project description:INTRODUCTION:According to official statistics in Taiwan, the main body region of injury causing bicyclist deaths is the head, and bicyclists are 2.6 times more likely to be fatally injured than motorcyclists. There is currently a national helmet law for motorcyclists but not for bicyclists. OBJECTIVES:The primary aim of this study was to determine whether bicyclist casualties have higher odds of head-related hospitalisation than motorcyclists. This study also aims to investigate the determinants of head injury-related hospitalisation among bicyclists and motorcyclists. METHODS:Using linked data from the National Traffic Accident Dataset and the National Health Insurance Research Database for the period 2003-2012, this study investigates the crash characteristics of bicyclist and motorcyclist casualties presenting to hospitals due to motor vehicle crashes. Head injury-related hospitalisation was used as the study outcome for both road users to evaluate whether various factors (eg, human attributes, road and weather conditions, vehicle characteristics) are related to hospital admission of those who sustained serious injuries. RESULTS:Among 1 239 474 bicyclist and motorcyclist casualties, the proportion of bicyclists hospitalised for head injuries was higher than that of motorcyclists (10.0% vs 6.5%). However, the multiple logistic regression model shows that, after adjustment of this result for other factors such as helmet use, bicyclists were 18% significantly less likely to be hospitalised for head injuries than motorcyclists (AOR 0.82, 95% CI 0.79 to 0.85). Other important determinants of head injury-related hospitalisation for bicyclists and motorcyclists include female riders, elderly riders, crashes occurring in rural areas, moped riders, riding unhelmeted, intoxicated bicyclists and motorcyclists, unlicensed motorcyclists, dusk and dawn conditions and single-vehicle crashes. CONCLUSIONS:Our finding underscores the importance of helmet use in reducing hospitalisation due to head injuries among bicyclists while current helmet use is relatively low.