The Satisfaction With Care of Patients With Schizophrenia in Taiwan: A Cross-Sectional Survey of Patient-Centered Care Domains

BACKGROUND

Pharmacological interventions combined with nonpharmacological treatments such as patient-centered care (PCC)-related activities are widely used to enhance outcomes in patients with schizophrenia. However, few studies have examined and identified the PCC factors essential to achieving better outcomes in patients with schizophrenia.

PURPOSE

This study was designed to identify the Picker-Institute-identified PCC domains associated with satisfaction and to determine which of these domains are most important in the context of schizophrenia care.

METHODS

Data were collected using patient surveys in outpatient settings and record reviews at two hospitals in northern Taiwan between November and December 2016. PCC data were collected in five domains: (a) support of patient autonomy; (b) goal setting; (c) collaboration and integration of healthcare services; (d) information, education, and communication; and (e) emotional support. The outcome measure was patient satisfaction. The study controlled for demographic factors, including age, gender, education, occupation, marriage, and urbanization level in the respondent's area of residence. Clinical characteristics included the Clinical Global Impressions severity and improvement index scores, previous admission, previous emergency department visit, and readmission within 1 year. Methods were adopted to prevent common method variance bias. Multivariable linear regression with stepwise selection and the generalized estimating equation were used to analyze the data.

RESULTS

After controlling for confounding factors, the generalized estimating equation model found only three PCC factors significantly associated with patient satisfaction, which differed slightly from the results of the multivariable linear regression. These three factors are as follows, in order of importance: information, education, and communication (parameter = 0.65 [0.37, 0.92], p < .001); emotional support (parameter = 0.52 [0.22, 0.81], p < .001); and goal setting (parameter = 0.31 [0.10, 0.51], p = .004).

CONCLUSIONS

The three critical PCC-related factors were evaluated in terms of enhancing patient satisfaction in patients with schizophrenia. Practicable strategies related to these three factors should also be developed for implementation in clinical settings.

Measuring Patient Activation as Part of Kidney Disease Policy: Are We There Yet?

Optimal care occurs when patients possess the skills, knowledge, and confidence needed to effectively manage their health. Promoting such patient activation in kidney disease care is increasingly being prioritized, and patient activation has recently emerged as central to kidney disease legislative policy in the United States. Two options of the Centers for Medicare and Medicaid Services Kidney Care Choices model-the Kidney Care First option and the Comprehensive Kidney Care Contracting option-now include patient activation as a quality metric; both models specifically name the patient activation measure (PAM) as the patient-reported outcome to use when assessing activation in kidney disease. Because nephrology practices participating in these models will receive capitated payments according to changes in patients' PAM scores, it is time to more critically evaluate this measure as it applies to patients with kidney disease. In this review, we raise important issues related to the PAM's applicability to kidney health, review and summarize existing literature that applies this measure to patients with kidney disease, and outline key elements to consider when implementing the PAM into practice and policy. Our aim is to spur further dialogue regarding how to assess and address patient activation in kidney disease to facilitate best practices for supporting patients in the successful management of their kidney health.

Factors Associated with High Patient Activation Level among Individuals with Metabolic Syndrome at a Primary Care Teaching Clinic

Background: High activation level has been associated with higher education background, better self-rated health status, and having adequate health literacy. However, there is a gap in the literature regarding the level of activation and the factors associated with it among patients with metabolic syndrome (MetS) in the Malaysian primary care setting. Objectives: This study aims to determine activation levels and the factors associated with high activation among individuals with MetS in primary care. Methods: A cross-sectional study was conducted at a university primary care clinic. Patient activation was measured using the Patient Activation Measure®-13 Malay version. Activation levels were dichotomized into "low activation" (levels 1 and 2) and "high activation" (levels 3 and 4). To determine the factors associated with high activation, simple logistic regressions (SLogR) followed by multiple logistic regressions (MLogR) were performed. Results: Of 333 participants, 280 (84.1%) were included in the final analysis. The mean activation score was 59.4 (SD ±10.20) and 61.8% had high activation level. Two variables were found to be significant on MLogR. Those who were employed have the odds of 3.135 (95% CI 1.442-6.816) of having high activation compared with those who were unemployed. Those with good self-reported health status have the odds of 6.482 (95% CI 1.243-33.792) of having high activation compared to those with poor self-reported health status. Conclusions: The majority of participants had high activation levels. Those who were employed and those who had good self-reported health status were more likely to have high activation levels. Findings of this study could be used to develop patient activation interventions to improve self-management skills among individuals with MetS in primary care. These may include problem solving support, individualized care plans, peer or family support, and skill building. Those in high activation group can be trained to become mentors to support their peers who have low activation level.

Religiosity and Patient Activation Among Hospital Survivors of an Acute Coronary Syndrome

BACKGROUND

Optimum management after an acute coronary syndrome (ACS) requires considerable patient engagement/activation. Religious practices permeate people's lives and may influence engagement in their healthcare. Little is known about the relationship between religiosity and patient activation.

OBJECTIVE

To examine the association between religiosity and patient activation in hospital survivors of an ACS.

DESIGN

Secondary analysis using baseline data from Transitions, Risks, and Actions in Coronary Events: Center for Outcomes Research and Education (TRACE-CORE) Study.

PARTICIPANTS

A total of 2067 patients hospitalized for an ACS at six medical centers in Central Massachusetts and Georgia (2011-2013).

MAIN MEASURES

Study participants self-reported three items assessing religiosity-strength and comfort from religion, making petition prayers, and awareness of intercessory prayers for health. Patient activation was assessed using the 6-item Patient Activation Measure (PAM-6). Participants were categorized as either having low (levels 1 and 2) or high (levels 3 and 4) activation.

RESULTS

The mean age of study participants was 61 years, 33% were women, and 81% were non-Hispanic White. Approximately 85% derived strength and comfort from religion, 61% prayed for their health, and 89% received intercessory prayers for their health. Overall, 58% had low activation. Reports of a great deal (aOR, 2.02; 95% CI, 1.44-2.84), and little/some (aOR, 1.45; 95% CI, 1.07-1.98) strength and comfort from religion were associated with high activation, as were receipt of intercessions (aOR, 1.48; 95% CI, 1.07-2.05). Praying for one's health was associated with low activation (aOR, 0.78; 95% CI, 0.61-0.99).

CONCLUSIONS

Most ACS survivors acknowledge religious practices toward their recovery. Strength and comfort from religion and intercessory prayers for health were associated with high patient activation. Petition prayers for health were associated with low activation. Healthcare providers should use knowledge about patient's religiosity to enhance patient engagement in their care.

Patient activation in individuals with type 2 diabetes mellitus: associated factors and the role of insulin

AIM

This study explored the relationship between insulin use and patient activation (a person's internal readiness and capabilities to undertake health-promoting actions) in individuals with type 2 diabetes mellitus and aimed to identify demographic, clinical and psychosocial factors involved in patient activation.

METHODS

In this cross-sectional study, baseline data from a Dutch nationwide study were analyzed. Patient activation was assessed with the Patient Activation Measure 13. A linear mixed model was used to take clustering into account.

RESULTS

In total, 1,189 persons were included (310 of whom were on insulin), enrolled via 47 general practices and six hospitals. Their mean Patient Activation Measure 13 score was 59±12. We found no association between insulin therapy and patient activation. In the multivariable analysis, individuals with a better health status, very good or very poor social support (vs good social support), individuals who felt they had greater control over their illness and those with a better subjective understanding of their illness showed higher patient activation. Individuals with a lower educational level and those who expected their illness to continue showed a lower activation level.

CONCLUSION

Patient activation does not differ between individuals with type 2 diabetes mellitus on insulin therapy and those on other therapies.

Illness Representation and Self-Care Ability in Older Adults with Chronic Disease

Chronic illness affects >50% of adults in the United States and accounts for >80% of healthcare spending. The purpose of this study was to determine whether beliefs about one’s chronic disease (illness representation) are associated with self-care activation, emergency department (ED) visits, or hospitalizations. Using a cross-sectional design, we recruited older adults with heart failure, chronic obstructive pulmonary disease (COPD), and chronic kidney disease. The Revised Illness Perception Questionnaire (IPQ-R) measured perceptions about disease. The Patient Activation Measure measured self-care activation. ED visits and hospitalizations were measured by self-report. IPQ-R scores were analyzed using latent profile analysis to identify subgroups. Participants included 187 adults (mean age 65 years, 54% female, 74% Black). We found three subgroups (stable, overwhelmed, and confident). Groups did not differ demographically or by disease. The stable group (few consequences, non-fluctuating pattern) had the fewest hospitalizations. The overwhelmed group (many consequences, fluctuating pattern, high negative emotion) had high hospitalizations and low self-care ability. The confident group (high disease control, well-understood) had the highest self-care ability, but also high hospitalizations. ED visits did not differ by group. We found three subgroups that differ in their illness representation and health outcomes. Findings suggest that assessing patients’ illness representations may have important implications for subgroup-specific interventions.

Factors associated with patient activation in an Australian population with comorbid diabetes and chronic kidney disease: a cross-sectional study

OBJECTIVE

To evaluate the extent of patient activation and factors associated with activation in adults with comorbid diabetes and chronic kidney disease (CKD).

DESIGN

A cross-sectional study.

SETTING

Renal/diabetes clinics of four tertiary hospitals across the two largest states of Australia.

STUDY POPULATION

Adult patients (over 18 years) with comorbid diabetes and CKD (estimated glomerular filtration rate <60 mL/min/1.73 m²).

MAIN OUTCOME MEASURES

Patients completed the Patient Activation Measure, the Kidney Disease Quality of Life and demographic and clinical data survey from January to December 2014. Factors associated with patient activation were examined using χ² or t-tests and linear regression.

RESULTS

Three hundred and five patients with median age of 68 (IQR 14.8) years were studied. They were evenly distributed across socioeconomic groups, stage of kidney disease and duration of diabetes but not gender. Approximately 46% reported low activation. In patients with low activation, the symptom/problem list, burden of kidney disease subscale and mental composite subscale scores were all significantly lower (all p<0.05). On multivariable analysis, factors associated with lower activation for all patients were older age, worse self-reported health in the burden of kidney disease subscale and lower self-care scores. Additionally, in men, worse self-reported health in the mental composite subscale was associated with lower activation and in women, worse self-reported health scores in the symptom problem list and greater renal impairment were associated with lower activation.

CONCLUSION

Findings from this study suggest that levels of activation are low in patients with diabetes and CKD. Older age and worse self-reported health were associated with lower activation. This data may serve as the basis for the development of interventions needed to enhance activation and outcomes for patients with diabetes and CKD.

Cost-effectiveness of implementing the chronic care model for HIV care in Uganda

Objective

The chronic care model (CCM) is an integrated, population-based approach for treating those with chronic diseases that involves patient self-management, delivery system design and decision support for clinicians to ensure evidence-based care. We sought to determine effectiveness and cost-effectiveness of implementing the CCM for HIV care in Uganda.

Design

This controlled, pre/post-intervention study used difference-in-differences analysis to evaluate effectiveness of the CCM to improve patient adherence to antiretroviral therapy (ART) and CD4 counts.

Setting

One district hospital and two smaller facilities each in one intervention and one control district in Uganda.

Participants

About 46 randomly sampled patients receiving HIV services at three control sites and 56 patients from three intervention sites.

Intervention

Two group training sessions and monthly coaching visits from improvement experts over 1 year, implementing the CCM.

Main Outcome Measure(s)

Patient adherence to ART prescriptions (pill counts) and CD4 counts were measured at baseline and en dline.

Results

The odds of increased CD4 in the intervention group was 3.2 times higher than controls (P = 0.022). Clinician-reported ART adherence was 60% (P = 0.001) higher in the intervention group. The intervention cost $11 740 and served 7016 patients ($1.67 per patient). Incremental cost-effectiveness ratios of the intervention compared to business-as-usual was $6.90 per additional patient with improved CD4 and $3.40 per additional ART patient with stable or improved adherence.

Conclusion

For modest expenditure, it is possible to improve indicators of HIV care quality using the CCM. We recommended implementing the CCM in Uganda; it may be applicable in similar settings in other countries.

Diabetes care: Comparison of patients' and healthcare professionals' assessment using the PACIC instrument

RATIONALE, AIMS AND OBJECTIVE

Whereas the Patient Assessment of Chronic Illness Care (PACIC) instrument measures the extent to which care received by patients is congruent with the Chronic Care Model, the 5As model emphasizes self-management and community resources, 2 key components of the Chronic Care Model. We aimed at comparing evaluation of diabetes care, as reported by patients with diabetes and healthcare professionals (HCPs), using these instruments.

METHODS

Two independent samples, patients with diabetes (n = 395) and HCPs (including primary and secondary care physicians and nurses; n = 287), responded to the 20-item PACIC and the six 5As model questions. The PACIC-5A (questions scored on a 5-point scale, 1 = never to 5 = always) was adapted for HCPs (modified-PACIC-5A). In both samples, means and standard deviations for each question as well as proportions of responses to each response modality were computed, and an overall score was calculated for the 20-item PACIC.

RESULTS

Patients' and HCPs' overall scores were 2.6 (SD 0.9) and 3.6 (SD 0.5), respectively, with HCPs reporting higher scores for all questions except 1. Patients' education and self-management, referral/follow-up and participation in community programs were rated as low by patients and HCPs.

CONCLUSION

Healthcare professionals, particularly diabetes specialists, tended to report better PACIC scores than patients, suggesting that care was not reported similarly when received or provided. Evaluation differences might be reduced by a closer collaboration between patients and HCPs, as well as the implementation of community-based interventions considering more patients' perspectives such as patients' education and self-management.

How much do clinicians support patient self-management? The development of a measure to assess clinician self-management support

BACKGROUND

Primary care provider (PCP) support of patient self-management may be important mechanism to improving patient health outcomes. In this paper we develop a PCP-reported measure of clinician strategies for supporting patient self-management, and we psychometrically test and validate the measure.

METHODS

We developed survey items based upon effective self-management support strategies identified in a prior mixed methods study. We fielded a survey in the fall of 2014 with 139 Fairview Health Services PCPs, and conducted exploratory factor analysis and Cronbach's Alpha to test for scale reliability. To validate the measure, we examined the Self-Management Support (SMS) scale's relationship to survey items on self-management support, as well as clinicians' patient panel rates of smoking cessation and weight loss.

RESULTS

Nine survey items clustered reliably to create a single factor (Cronbach's Alpha=0.73). SMS scores ranged from 2.1 to 4.9. The SMS was related to each of the validation variables. PCPs who reported spending 60% percent or more of their time counseling, educating, and coaching patients had a mean SMS score of 4.0, while those who reported spending less than 30% of their time doing so had mean SMS scores 15% lower. PCPs' SMS scores exhibited significant but modest associations with their patients' smoking cessation and weight loss (among obese patients) (r=0.21 and r=0.13 respectively).

CONCLUSIONS

This study develops and tests a promising measure of PCPs' strategies to support patient self-management. It highlights variation across PCPs. Future work should examine whether increasing scores of PCPs low on the SMS improves chronic care quality outcomes.

Correlates of Patient Activation and Acute Care Utilization Among Multimorbid Patients

Patient activation and self-management have been associated with improved patient outcomes, including decreased re-hospitalization; however, little research has identified factors that predict patient activation in the multimorbid hospitalized patient. This descriptive correlational study included 200 patients with three or more chronic diseases discharged to home post-hospitalization. Standard multiple regression was used to identify correlates of patient activation. Multimorbid patients with lower activation scores had more acute care utilization (re-hospitalization and emergency department visits) 30 days post-discharge than patients with higher activation scores. Predictors of patient activation were health literacy (p = .013), satisfaction with social role (p = .014), and involvement in chronic illness care (p = .001). Care transition programs focusing on health literacy, role satisfaction, and promoting patient-centered care may improve patient outcomes for multimorbid patients.

The effectiveness and cost effectiveness of the PAtient-Centred Team (PACT) model: study protocol of a prospective matched control before-and-after study

BACKGROUND

The present study protocol describes the evaluation of a comprehensive integrated care model implemented at two hospital sites at the University Hospital of North Norway (UNN). The PAtient Centred Team (PACT) model includes proactive, patient-centred interdisciplinary teams that aim to improve the continuum and quality of care of frail elderly patients and reduce health care costs. The main objectives of the evaluation are to analyse the effectiveness and cost effectiveness of using patient-centred teams as part of routine service provision for this patient group. The evaluation will analyse the effect on patient health and functional status, patient experiences and hospital utilisation, and it will conduct an economic evaluation. This paper describes the PACT model and the rationale for and design of the planned effectiveness and cost-effectiveness study.

METHODS/DESIGN

This is a prospective, non-randomised matched control before-and-after intervention study. Patients in the intervention group will be recruited from the hospital sites that have implemented the PACT model. The controls will be recruited from two hospitals without the model. The control patients and the index patients will be matched according to sex, age and number of long-term conditions. The study aims to include 600 patients in each group, which will provide sufficient power to detect a clinical change in the primary outcome. The primary outcome is the physical dimension of the Short Form Health Survey (SF-36). Secondary outcomes are the Patient Generated Index (PGI), the Patient Activation Measure (PAM), the Patient Assessment of Chronic Illness Care (PACIC), hospitalisation and length of stay. The cost-effectiveness study takes a health provider perspective and calculates the cost per quality-adjusted life-years (QALYs) gained. The data will be collected at baseline, 6 and 12 months. The data will be analysed using techniques and models that recognise the lack of randomisation and the correlation of cost and effect data.

DISCUSSION

The study results will provide knowledge about whether the integrated care model implemented at UNN improves the quality of care for the frail elderly with multiple conditions. The study will establish whether the PAC. T model improves health and functional status and is cost effective compared to the usual care for this patient group.

TRIAL REGISTRATION

ClinicalTrials.gov: NCT02541474.