ABSTRACT
BACKGROUND: Accurate methods of identifying patients with suboptimal adherence to cardiometabolic medications are needed, and each approach has benefits and tradeoffs. METHODS: We used data from a large trial of patients with poorly controlled cardiometabolic disease and evidence of medication non-adherence measured using pharmacy claims data whose adherence was subsequently assessed during a telephone consultation with a clinical pharmacist. We then evaluated if the pharmacist assessment agreed with the non-adherence measured using claims. When pharmacist and claims assessments disagreed, we identified reasons why claims were insufficient and used multivariable modified Poisson regression to identify patient characteristics associated with disagreement. RESULTS: Of 1,069 patients identified as non-adherent using claims (proportion of days covered [PDC] <80%), 646 (60.4%) were confirmed as non-adherent on pharmacist interview. For the 423 patients (39.6%) where the interview disagreed with the claims, the most common reasons were paying cash or using an alternate insurance (36.6%), medication discontinuation or regimen change (32.8%), and recently becoming adherent (26.7%). Compared to patients whose claims and interview both showed non-adherence, patients whose interview disagreed with claims were less likely to miss outpatient office visits (RR:0.91, 95%CI:0.85-0.97) and more likely to have a baseline PDC above the median (RR:1.35, 95%CI:1.10-1.64). CONCLUSIONS: Among patients identified as non-adherent by claims, 39.6% were observed to be adherent when assessed during pharmacist consultation. This discrepancy was largely driven by paying out-of-pocket, using alternative insurance, or medication discontinuation or change. These findings have important implications for using pharmacy claims to identify and intervene upon medication non-adherence.
Subject(s)
Cardiovascular Diseases , Pharmacy , Humans , Referral and Consultation , Medication Adherence , Telephone , Cardiovascular Diseases/drug therapy , Retrospective StudiesABSTRACT
Automated analysis of electronic health record (EHR) data is a complementary tool for public health surveillance. Analyzing and presenting these data, however, demands new methods of data communication optimized to the detail, flexibility, and timeliness of EHR data.RiskScape is an open-source, interactive, Web-based, user-friendly data aggregation and visualization platform for public health surveillance using EHR data. RiskScape displays near-real-time surveillance data and enables clinical practices and health departments to review, analyze, map, and trend aggregate data on chronic conditions and infectious diseases. Data presentations include heat maps of prevalence by zip code, time series with statistics for trends, and care cascades for conditions such as HIV and HCV. The platform's flexibility enables it to be modified to incorporate new conditions quickly-such as COVID-19.The Massachusetts Department of Public Health (MDPH) uses RiskScape to monitor conditions of interest using data that are updated monthly from clinical practice groups that cover approximately 20% of the state population. RiskScape serves an essential role in demonstrating need and burden for MDPH's applications for funding, particularly through the identification of inequitably burdened populations.
Subject(s)
COVID-19/epidemiology , Electronic Health Records/statistics & numerical data , Public Health Informatics/instrumentation , Public Health Surveillance/methods , Humans , MassachusettsABSTRACT
BACKGROUND: Less than half of patients with cardiometabolic disease consistently take prescribed medications. While health insurers and some delivery organizations use claims to measure adherence, most clinicians do not have access during routine interactions. Self-reported scales exist, but their practical utility is often limited by length or cost. By contrast, the accuracy of a new 3-item self-reported measure has been demonstrated in individuals with HIV. We evaluated its concordance with claims-based adherence measures in cardiometabolic disease. METHODS: We used data from a recently-completed pragmatic trial of patients with cardiometabolic conditions. After 12 months of follow-up, intervention subjects were mailed a survey with the 3-item measure that queries about medication use in the prior 30 days. Responses were linearly transformed and averaged. Adherence was also measured in claims in month 12 and months 1-12 of the trial using proportion of days covered (PDC) metrics. We compared validation metrics for non-adherence for self-report (average <0.80) compared with claims (PDC <0.80). RESULTS: Of 459 patients returning the survey (response rate: 43.5%), 50.1% were non-adherent in claims in month 12 while 20.9% were non-adherent based on the survey. Specificity of the 3-item metric for non-adherence was high (month 12: 0.83). Sensitivity was relatively poor (month 12: 0.25). Month 12 positive and negative predictive values were 0.59 and 0.52, respectively. CONCLUSIONS: A 3-item self-reported measure has high specificity but poor sensitivity for non-adherence versus claims in cardiometabolic disease. Despite this, the tool could help target those needing adherence support, particularly in the absence of claims data.
Subject(s)
Medication Adherence/statistics & numerical data , Metabolic Syndrome/drug therapy , Patient Reported Outcome Measures , Surveys and Questionnaires/standards , Female , Humans , Insurance Claim Review/statistics & numerical data , Male , Metabolic Syndrome/epidemiology , Metabolic Syndrome/psychology , Middle Aged , Outcome Assessment, Health Care , Pharmaceutical Services, Online , Remote Consultation/methods , Remote Consultation/statistics & numerical data , Self Report/standards , Sensitivity and Specificity , United States/epidemiologyABSTRACT
BACKGROUND: Approximately half of patients with chronic cardiometabolic conditions are nonadherent with their prescribed medications. Interventions to improve adherence have been only modestly effective because they often address single barriers to adherence, intervene at single points in time, or are imprecisely targeted to patients who may not need adherence assistance. OBJECTIVE: To evaluate the effect of a multicomponent, behaviorally tailored pharmacist-based intervention to improve adherence to medications for diabetes, hypertension, and hyperlipidemia. TRIAL DESIGN: The STIC2IT trial is a cluster-randomized pragmatic trial testing the impact of a pharmacist-led multicomponent intervention that uses behavioral interviewing, text messaging, mailed progress reports, and video visits. Targeted patients are those who are nonadherent to glucose-lowering, antihypertensive, or statin medications and who also have evidence of poor disease control. The intervention is tailored to patients' individual health barriers and their level of health activation. We cluster-randomized 14 practice sites of a large multispecialty group practice to receive either the pharmacist-based intervention or usual care. STIC2IT has enrolled 4,076 patients who will be followed up for 12months after randomization. The trial's primary outcome is medication adherence, assessed using pharmacy claims data. Secondary outcomes are disease control and health care resource utilization. CONCLUSION: This trial will determine whether a technologically enabled, behaviorally targeted pharmacist-based intervention results in improved adherence and disease control. If effective, this strategy could be a scalable method of offering tailored adherence support to those with the greatest clinical need.
Subject(s)
Chronic Disease/drug therapy , Medication Adherence , Pharmaceutical Services , Telemedicine , Diabetes Mellitus/drug therapy , Humans , Hyperlipidemias/drug therapy , Hypertension/drug therapy , Intention to Treat Analysis , Prospective Studies , Research DesignABSTRACT
Dextrorphan, an active metabolite of the antitussive dextromethorphan, has been shown to be subjected to sulfation by several zebrafish cytosolic sulfotransferases (SULTs). We were interested in finding out which of the human SULT(s) is(are) capable of catalyzing the sulfation of dextrorphan, and to verify whether sulfation of dextrorphan may occur in cultured human cells and human organ cytosols. Data from the enzymatic assays showed that, of all thirteen known human SULTs, SULT1A3 displayed the strongest dextrorphan-sulfating activity. Cell culture experiments using HepG2 human hepatoma cells and Caco-2 human colon carcinoma cells incubated with [(35)S]sulfate together with varying concentrations of dextrorphan revealed indeed the production and release of [(35)S]sulfated dextrorphan in a concentration-dependent manner. Additionally, significant dextrorphan-sulfating activity was detected in human liver, small intestine and lung cytosols. Taken together, these results provided a biochemical basis for the sulfation of dextrorphan in humans.
Subject(s)
Arylsulfotransferase/metabolism , Dextrorphan/pharmacology , Caco-2 Cells , Excitatory Amino Acid Antagonists/pharmacology , Hep G2 Cells , HumansABSTRACT
Background Coronary artery calcification (CAC), the presence and severity of which strongly predict underlying coronary artery disease (CAD), can be seen on dedicated cardiac imaging studies or incidentally on noncardiac ones; however, the latter findings are commonly managed by primary care clinicians without clear accompanying recommendations and may represent an underrecognized opportunity to optimize secondary prevention of CAD. Methods Standardized practice guidelines and a multilevel implementation strategy for improving secondary prevention of cardiovascular disease through incidentally identified CAC were developed by an interdisciplinary committee. Evidence-based implementation strategies were selected1 and included integrating practice guidelines into radiology reports within the electronic medical records. Outpatient noncardiac computerized tomography scans performed before and after this initiative were retrospectively reviewed to evaluate changes in statin prescribing. Results Authors demonstrated an increase in the percentage of patients with mild CAC prescribed a statin and an increase in the percentage of patients with severe CAC prescribed a high-intensity statin after implementation of standardized practice guidelines and evidence-based implementation strategies. Conclusion Incidental CAC identification is common, particularly in those without known CAD. A multilevel implementation strategy and use of standardized practice guidelines appeared to improve provider prescribing behavior in the primary care setting and may provide an opportunity to enhance secondary CAC prevention.
Subject(s)
Cardiovascular Diseases , Coronary Artery Disease , Hydroxymethylglutaryl-CoA Reductase Inhibitors , Humans , Hydroxymethylglutaryl-CoA Reductase Inhibitors/therapeutic use , Retrospective Studies , Secondary Prevention , Coronary Artery Disease/prevention & control , Cardiovascular Diseases/prevention & control , Risk FactorsABSTRACT
OBJECTIVE: We examined what matters to families about the healthcare provided to preterm or LBW infants in hospital and the community, to ensure that care meets the needs of infants and parents. METHODS: We searched databases to identify eligible studies examining the views and expectations of families. Study quality was assessed using the CASP checklist for qualitative studies. The GRADE-CERQual approach was used to assess confidence in review findings. Studies were sampled and data analysed using thematic synthesis. RESULTS: 222 studies (227 papers) were eligible for inclusion. 54 studies (57 papers) were sampled based on data richness, methodological quality, and representation across settings. Eight analytical themes were identified. Confidence in results was moderate to high. What mattered was a positive outcome for the child; active involvement in care; being supported to cope at home after discharge; emotional support; the healthcare environment; information needs met; logistical support available; and positive relationships with staff. CONCLUSION: Although parents and family members reported a variety of experiences in the care of their infant, we found high consistency in what matters to families. PRACTICE IMPLICATIONS: This review identifies approaches to improve experiences of parents which are consistent with the Family Centred Care model of healthcare.
Subject(s)
Family , Parents , Infant, Newborn , Infant , Child , Humans , Parents/psychology , Delivery of Health Care , Infant, Low Birth Weight , Qualitative ResearchABSTRACT
BACKGROUND: Preterm birth and social deprivation are known risk factors for learning difficulties. However there has been little work looking into the interaction between these two risks. We aimed to identify if children born preterm to families with higher levels of social deprivation are disproportionately more likely to have learning difficulties than those with lower levels of social deprivation. METHODS: Data from the RANOPS (Respiratory And Neurological Outcomes in children born Preterm Study) was used to assess prevalence of learning difficulties. The effects of preterm birth and deprivation were reviewed. Multi-level logistic regression models were used to examine if gestational age and deprivation impacts interacted after adjustment for possible confounders. Primary outcome measure was parent-reported learning difficulties. Secondary outcome measures were parent-reported behavioural problems and a statement of special educational need. RESULTS: We investigated the developmental outcomes of 6,691 infants with a median age of 5 years at time of survey (IQR 5). Deprivation decile (OR 1.08 (1.03,1.12)) and preterm birth (OR 2.67 (2.02,3.53)) were both associated with increased risk of learning difficulties. There was little evidence for any interaction between preterm birth and deprivation (pâ=â0.298) and the risk of learning difficulties. CONCLUSIONS: Deprivation and preterm birth have significant associations with learning difficulties. While deprivation does not appear to have potentiated the impact of preterm birth, preterm infants in the most deprived areas have the highest risk of learning difficulties with almost 1 in 3 extremely premature infants with a learning difficulty in the most deprived areas.
ABSTRACT
Background: There are more than 5 million people with dementia in India. Multicentre studies looking at details of treatment for people with dementia In India are lacking. Clinical audit is a quality improvement process which aims to systematically assess, evaluate, and improve patient care. Evaluating current practice is the key to a clinical audit cycle. Aim: This study aimed to assess the diagnostic patterns and prescribing practices of psychiatrists for patients with dementia in India. Method: A retrospective case file study was conducted across several centers in India. Results: Information from the case records of 586 patients with dementia was obtained. Mean age of the patients was 71.14 years (standard deviation = 9.42). Three hundred twenty one (54.8%) were men. Alzheimer's disease (349; 59.6%) was the most frequent diagnosis followed by vascular dementia (117; 20%). Three hundred fifty five (60.6%) patients had medical disorders and 47.4% patients were taking medications for their medical conditions. Eighty one (69.2%) patients with vascular dementia had cardiovascular problems. Majority of the patients (524; 89.4%) were on medications for dementia. Most frequently prescribed treatment was Donepezil (230; 39.2%) followed by Donepezil-Memantine combination (225; 38.4%). Overall, 380 (64.8%) patients were on antipsychotics. Quetiapine (213, 36.3%) was the most frequently used antipsychotic. Overall, 113 (19.3%) patients were on antidepressants, 80 (13.7%) patients were on sedatives/hypnotics, and 16 (2.7%) patients were on mood stabilizers. Three hundred nineteen (55.4%) patients and caregivers of 374 (65%) patients were receiving psychosocial interventions. Conclusions: Diagnostic and prescription patterns in dementia which emerged from this study are comparable to other studies both nationally and internationally. Comparing current practices at individual and national levels against accepted guidelines, obtaining feedback, identifying gaps and instituting remedial measures help to improve the standard of care provided.
ABSTRACT
QUALITY PROBLEM: Patients often do not fully understand medical information discussed during office visits. This can result in lack of adherence to recommended treatment plans and poorer health outcomes. CHOICE OF SOLUTION: We developed and implemented a program utilizing an encounter form, which provides structure to the medical interaction and facilitates bidirectional communication and informed decision-making. IMPLEMENTATION: We conducted a prospective quality improvement intervention at a large tertiary-care academic medical center utilizing the encounter form and studied the effect on patient satisfaction, understanding and confidence in communicating with physicians. The intervention included 108 patients seen by seven physicians in five sub-specialties. EVALUATION: Ninety-eight percent of patients were extremely satisfied (77%) or somewhat satisfied (21%) with the program. Ninety-six percent of patients reported being involved in decisions about their care and treatments as well as high levels of understanding of medical information that was discussed during visit. Sixty-nine percent of patients reported that they shared the encounter form with their families and friends. Patients' self-confidence in communicating with their doctors increased from a score of 8.1 to 8.7 post-intervention (P-value = 0.0018). When comparing pre- and post-intervention experiences, only 38% of patients felt that their problems and questions were adequately addressed by other physicians' pre-intervention, compared with 94% post-intervention. LESSONS LEARNED: We introduced a program to enhance physician-patient communication and found that patients were highly satisfied, more informed and more actively involved in their care. This approach may be an easily generalizable approach to improving physician-patient communication at outpatient visits.
Subject(s)
Academic Medical Centers/organization & administration , Communication , Office Visits , Physician-Patient Relations , Quality Improvement/organization & administration , Adult , Aged , Clinical Competence , Decision Making , Female , Humans , Male , Middle Aged , Patient Education as Topic , Patient Participation , Patient Satisfaction , Prospective Studies , Socioeconomic FactorsABSTRACT
BACKGROUND: Pain is common among cancer patients. OBJECTIVE: To characterize the incidence of severe pain among newly diagnosed patients with stage IV cancer in ambulatory care. METHODS: A retrospective cohort of 505 ambulatory oncology patients with newly diagnosed stage IV solid tumours at a comprehensive cancer centre (Dana-Farber Cancer Institute, Boston, Massachusetts, USA) was followed from January 1, 2004, to December 31, 2006. Pain intensity scores were extracted from electronic medical records. The incidence of severe pain was calculated using the maximum monthly pain scores reported at outpatient visits. RESULTS: Of the 505 patients included in the present study, 340 (67.3%) were pain-free at the initial visit, 90 (17.8%) experienced mild pain, 48 (9.5%) experienced moderate pain and 27 (5.4%) experienced severe pain. At least one episode of severe pain within one year of diagnosis was reported by 29.1% of patients. Patients with head and neck, gastrointestinal and thoracic malignancies were more likely to experience severe pain compared with patients with other types of cancer (52.6%, 33.9% and 30.5%, respectively). In the multivariable model, patients whose primary language was not English (OR 2.90 [95% CI 1.08 to 7.80]), patients who reported severe pain at the initial visit (OR 9.30 [95% CI 3.72 to 23.23]) and patients with head and neck (OR 10.17 [95% CI 2.87 to 36.00]) or gastrointestinal (OR 4.05 [95% CI 1.23 to 13.35]) cancers were more likely to report severe pain in the following year. CONCLUSIONS: The incidence of severe pain was high in ambulatory patients with newly diagnosed stage IV cancer.
Subject(s)
Ambulatory Care , Neoplasms/complications , Pain/epidemiology , Adolescent , Adult , Aged , Aged, 80 and over , Female , Humans , Incidence , Male , Middle Aged , Neoplasm Staging , Neoplasms/pathology , Pain/diagnosis , Pain/etiology , Pain Measurement , Retrospective Studies , Young AdultABSTRACT
OBJECTIVE: Medication nonadherence is linked to worsened clinical outcomes and increased costs. Existing system-level adherence interventions rely on insurer claims for patient identification and outcome measurement, yet suffer from incomplete capture and lags in data acquisition. Data from pharmacies regarding prescription filling, captured in retail dispensing, may be more efficient. DATA SOURCES: Pharmacy fill and insurer claims data. STUDY DESIGN: We compared adherence measured using pharmacy fill data to adherence using insurer claims data, expressed as proportion of days covered (PDC) over 12 months. Agreement was evaluated using correlation/validation metrics. We also explored the relationship between adherence in both sources and disease control using prediction modeling. DATA EXTRACTION METHODS: Large pragmatic trial of cardiometabolic disease in an integrated delivery network. PRINCIPAL FINDINGS: Among 1113 patients, adherence was higher in pharmacy fill (mean = 50.0%) versus claims data (mean = 47.4%), although they had moderately high correlation (R = 0.57, 95% CI: 0.53-0.61) with most patients (86.9%) being similarly classified as adherent or nonadherent. Sensitivity and specificity of pharmacy fill versus claims data were high (0.89, 95% CI: 0.86-0.91 and 0.80, 95% CI: 0.75-0.85). Pharmacy fill-based PDC predicted better disease control slightly more than claims-based PDC, although the difference was nonsignificant. CONCLUSIONS: Pharmacy fill data may be an alternative to insurer claims for adherence measurement.
Subject(s)
Pharmacies , Pharmacy , Humans , Insurance Carriers , Medication Adherence , Retrospective StudiesABSTRACT
BACKGROUND: The prescribing of high-risk medications to older adults remains extremely common and results in potentially avoidable health consequences. Efforts to reduce prescribing have had limited success, in part because they have been sub-optimally timed, poorly designed, or not provided actionable information. Electronic health record (EHR)-based tools are commonly used but have had limited application in facilitating deprescribing in older adults. The objective is to determine whether designing EHR tools using behavioral science principles reduces inappropriate prescribing and clinical outcomes in older adults. METHODS: The Novel Uses of Designs to Guide provider Engagement in Electronic Health Records (NUDGE-EHR) project uses a two-stage, 16-arm adaptive randomized pragmatic trial with a "pick-the-winner" design to identify the most effective of many potential EHR tools among primary care providers and their patients ≥ 65 years chronically using benzodiazepines, sedative hypnotic ("Z-drugs"), or anticholinergics in a large integrated delivery system. In stage 1, we randomized providers and their patients to usual care (n = 81 providers) or one of 15 EHR tools (n = 8 providers per arm) designed using behavioral principles including salience, choice architecture, or defaulting. After 6 months of follow-up, we will rank order the arms based upon their impact on the trial's primary outcome (for both stages): reduction in inappropriate prescribing (via discontinuation or tapering). In stage 2, we will randomize (a) stage 1 usual care providers in a 1:1 ratio to one of the up to 5 most promising stage 1 interventions or continue usual care and (b) stage 1 providers in the unselected arms in a 1:1 ratio to one of the 5 most promising interventions or usual care. Secondary and tertiary outcomes include quantities of medication prescribed and utilized and clinically significant adverse outcomes. DISCUSSION: Stage 1 launched in October 2020. We plan to complete stage 2 follow-up in December 2021. These results will advance understanding about how behavioral science can optimize EHR decision support to improve prescribing and health outcomes. Adaptive trials have rarely been used in implementation science, so these findings also provide insight into how trials in this field could be more efficiently conducted. TRIAL REGISTRATION: Clinicaltrials.gov ( NCT04284553 , registered: February 26, 2020).
Subject(s)
Electronic Health Records , Inappropriate Prescribing , Aged , Health Personnel , Humans , Randomized Controlled Trials as Topic , Research DesignABSTRACT
BACKGROUND: There is increasing policy interest in public reporting and tying financial incentives to metrics of patient safety. How black-serving hospitals fare on these measures will have important implications for disparities in care. OBJECTIVES: To determine how black-serving hospitals perform on patient safety indicators (PSIs). RESEARCH DESIGN: We used national Medicare data to calculate the performance of hospitals on 11 medical and surgical PSIs. We designated US hospitals in the top decile of proportion of hospitalized patients who are black as "black-serving." We calculated overall and race-specific rates and examined the relationship between being a black-serving hospital and PSI rates. SUBJECTS: Medicare fee-for-service enrollees discharged from 4488 acute-care US hospitals. RESULTS: Black-serving hospitals performed worse than other hospitals on 6 of 11 PSIs. For example, black-serving hospitals had nearly twice the rate of postoperative pulmonary embolism or deep venous thrombosis (19.4 vs. 11.5 per 1000 discharges, P < 0.001). Adjusting for hospital characteristics had moderate effects. In race-specific analyses, we found that both white and black patients generally had higher rates of potential safety events in black-serving hospitals than they did in non-black-serving hospitals. CONCLUSIONS: Hospitals that disproportionately care for black patients have higher rates of potential safety events among both black and white patients than other hospitals. Current efforts to penalize hospitals with high PSI rates will have a greater effect on hospitals that disproportionately care for black patients.
Subject(s)
Black People/statistics & numerical data , Healthcare Disparities/statistics & numerical data , Hospitals/standards , Quality Indicators, Health Care , Safety Management/statistics & numerical data , Cross Infection/ethnology , Hospital Records/statistics & numerical data , Hospitalization/statistics & numerical data , Hospitals/statistics & numerical data , Humans , Pneumonia, Bacterial/ethnology , Quality Assurance, Health Care , Quality of Health Care , Sepsis/ethnology , United States/epidemiologyABSTRACT
Adherence to medications remains poor despite numerous efforts to identify and intervene upon nonadherence. One potential explanation is the limited focus of many interventions on one barrier. Little is known about the prevalence and impact of having multiple barriers in contemporary practice. Our objective was to quantify adherence barriers for patients with poorly controlled cardiometabolic condition, identify patient characteristics associated with having multiple barriers, and determine its impact on adherence. We used a linked electronic health records and insurer claims dataset from a large health system from a recent pragmatic trial. Barriers to medication taking before the start of the intervention were elicited by clinical pharmacists using structured interviews. We used multivariable modified Poisson regression models to examine the association between patient factors and multiple barriers and multivariable linear regression to evaluate the relation between multiple barriers and claims-based adherence. Of the 1,069 patients (mean: 61 years of age) in this study, 25.1% had multiple barriers to adherence; the most common co-occurring barriers were forgetfulness and health beliefs (31%, nâ¯=â¯268). Patients with multiple barriers were more likely to be non-white (relative risk [RR] 1.57, 95% confidence interval [CI] 1.21 to 1.74), be single/unpartnered (RR 1.36, 95% CI 1.06 to 1.74), use tobacco (RR 1.54, 95% CI 1.13 to 2.11), and have poor glycemic control (RR 1.77, 95% CI 1.31 to 2.39) versus those with 0 or 1 barrier. Each additional barrier worsened average adherence by 3.1% (95% CI -4.6%, -1.5%). In conclusion, >25% of nonadherent patients present with multiple barriers to optimal use, leading to meaningful differences in adherence. These findings should inform quality improvement interventions aimed at nonadherence.
Subject(s)
Cardiovascular Agents/therapeutic use , Cardiovascular Diseases/drug therapy , Medication Adherence , Female , Follow-Up Studies , Humans , Male , Middle Aged , Prevalence , Retrospective Studies , Surveys and QuestionnairesABSTRACT
OBJECTIVES: Meta-analysis data suggests that Delayed cord clamping (DCC) in preterm infants is associated with a 32% reduction in mortality. Reported rates of this intervention are low, particularly for caesarean deliveries. Perceived difficulties providing respiratory support and thermal care during DCC may be barriers to implementation of this intervention. Commercially available equipment to facilitate this can be expensive. This study aimed to evaluate the feasibility and efficacy of a simple, low cost technique to deliver respiratory support and thermal care during DCC at all preterm deliveries (including caesarean), with the hypothesis that this could increase rates of preterm infants receiving DCC. STUDY DESIGN: Data was collected retrospectively from 46 infants born at <32 weeks gestation in 2015. The technique was introduced in early 2017, as part of a perinatal Quality Improvement project. Data was collected prospectively from 63 infants born at <32 weeks gestation in 2017-2018. RESULTS: Rates of DCC in infants born <32 weeks gestation have increased from 12.5% in 2015 to 89.4% in 2017-2018. In 2017-2018, thermal care and respiratory support was provided to all infants who received DCC. CONCLUSION: Multidisciplinary perinatal team working allowed development of a simple, low cost technique to deliver DCC at all preterm deliveries. We have demonstrated feasibility and efficacy of this technique, and a significant and sustained improvement in rates of DCC in our preterm population. We hope that by sharing this approach, other centres will be able to implement a similar strategy, closing the gap between evidence base and translation into clinical practice, and allowing provision of DCC for preterm infants as a standard part of high quality perinatal care.
Subject(s)
Delivery, Obstetric/methods , Perinatal Care/methods , Umbilical Cord , Feasibility Studies , Female , Humans , Infant, Newborn , Infant, Premature , Male , Premature Birth , Quality Improvement , Retrospective StudiesABSTRACT
Patients with progressive cognitive decline mostly suffer from degenerative disease and carry a relatively poor prognosis. But small groups among these patients have a potentially treatable cause of illness and therefore every patient with dementia needs to be considered treatable unless proved otherwise. This group can be identified only by high degree of suspicion based on clinical clues. We have evaluated the validity of some simple clinical clues which we noticed in our patients with immune mediated dementias. The Panic score, Epsworth sleepiness score, catatonic symptoms and history of seizures were compared between 23 and 11 patients with serologically confirmed anti-NMDA antibody and anti-VGKC antibody associated encephalitis respectively. They were compared with 20 patients with probable behavioral variant of Frontotemporal dementia (bvFTD) and 20 patients with probable Alzheimer's disease (AD). Chi-square test was used to compare across the groups and there was significant difference (P < 0.05) across the 4 groups comprising anti NMDA encephalitis, anti VGKC encephalitis, FTD and AD among the four variables (Panic scores, Catatonic symptoms, Epsworth sleepiness score and seizures) studied. Our study revealed that panic and sleepiness is highly significant when tested across all groups and catatonia showed a trend towards NMDA and when compared with degenerative dementia versus immune mediated syndromes all the 4 parameters were highly significant This simple bedside TRIAD of panic, sleepiness with either of catatonia or seizures if found in patients it is appropriate to order antibody assessment before anything else is planned. This needs to be evaluated in a larger sample.
Subject(s)
Autoimmune Diseases of the Nervous System , Catatonia , Cognitive Dysfunction , Dementia , Disorders of Excessive Somnolence , Encephalitis , Panic Disorder , Adult , Aged , Anti-N-Methyl-D-Aspartate Receptor Encephalitis/complications , Anti-N-Methyl-D-Aspartate Receptor Encephalitis/diagnosis , Anti-N-Methyl-D-Aspartate Receptor Encephalitis/immunology , Autoimmune Diseases of the Nervous System/complications , Autoimmune Diseases of the Nervous System/diagnosis , Autoimmune Diseases of the Nervous System/immunology , Catatonia/diagnosis , Catatonia/etiology , Catatonia/physiopathology , Cognitive Dysfunction/diagnosis , Cognitive Dysfunction/etiology , Cognitive Dysfunction/physiopathology , Dementia/diagnosis , Dementia/etiology , Dementia/physiopathology , Disease Progression , Disorders of Excessive Somnolence/diagnosis , Disorders of Excessive Somnolence/etiology , Disorders of Excessive Somnolence/physiopathology , Encephalitis/complications , Encephalitis/diagnosis , Encephalitis/immunology , Female , Humans , Male , Middle Aged , Panic Disorder/diagnosis , Panic Disorder/etiology , Panic Disorder/physiopathology , Potassium Channels, Voltage-Gated/immunologyABSTRACT
CONTEXT: Patient safety indicators (PSIs) are screening tools that use administrative data to identify potential complications of care and are being increasingly used as measures of hospital safety. It is unknown whether PSIs are related to standard quality metrics. OBJECTIVE: To examine the relationship between select PSIs and measures of hospital quality. DESIGN, SETTING, AND PARTICIPANTS: We used the 2003 MedPAR dataset to examine the performance of 4,504 acute-care hospitals on four medical PSIs among Medicare enrollees. MAIN OUTCOME MEASURES: We used bivariate and multivariate techniques to examine the relationship between PSI performance and quality scores from the Hospital Quality Alliance program, risk-adjusted mortality rates, and selection as a top hospital by US News & World Report. RESULTS: We found inconsistent and usually poor associations among the PSIs and other hospital quality measures with the exception of "failure to rescue," which was consistently associated with better performance on all quality measures tested. For example, hospitals in the top quartile of failure to rescue performance had a 0.9% better summary performance score in acute myocardial infarction (AMI) processes and a 22% lower mortality rate in AMI compared to hospitals in the bottom quartile of failure to rescue (p < 0.01 for both comparisons). Death in low mortality DRG, decubitus ulcer, and infection due to medical care generally had poor or often inverse relationships with the other quality measures. CONCLUSIONS: With the exception of failure to rescue, we found poor or inverse relationships between PSIs and other measures of healthcare quality. Whether the lack of relationship is due to the limitations of the PSIs is unknown, but suggests that PSIs need further validation before they are employed broadly.
Subject(s)
Medical Errors/statistics & numerical data , Quality Indicators, Health Care , Safety Management , Aged , Cross Infection/epidemiology , Hospitals , Humans , Medical Errors/prevention & control , Mortality , Pressure Ulcer/epidemiology , Resuscitation Orders , Risk Assessment , United States/epidemiologyABSTRACT
OBJECTIVES: To measure overuse of low-value care using electronic health record (EHR) data and manual chart review and to evaluate whether certain low-value services are better captured using EHR data. STUDY DESIGN: We implemented algorithms to extract performance on 13 Choosing Wisely-identified healthcare services using EHR data at a large physician practice group between 2011 and 2013. METHODS: We calculated rates of overuse using automated EHR extracts. We manually reviewed the charts for 200 cases of overuse for each measure to determine if they had clinical risk factors that could explain use of the low-value service and then calculated adjusted rates of overuse. We explored trends in overuse for each low-value service in the 3-year duration using logistic regression. RESULTS: Unadjusted rates of overuse ranged from 0.2% to 92%. Automated EHR extracts and manual chart review identified explanatory risk factors for most measures, although the magnitude varied: for some measures (eg, bone densitometry exam for women younger than 65 years), manual chart review did not identify many additional risks (3.0%). In contrast, in patients who had sinus computed tomography or an antibiotic prescription for uncomplicated acute rhinosinusitis, manual chart review identified more explanatory risk factors (22.5%) than the automated EHR extract (9.5%). Adjusted rates of overuse ranged from 0.2% to 61.9%. Eight services demonstrated a statistically significant decrease in overuse over 3 years, while 1 increased significantly. CONCLUSIONS: The use of EHR data, both extracted and manually abstracted, provides an opportunity to more accurately and reliably identify overuse of low-value healthcare services.
Subject(s)
Data Collection/methods , Electronic Health Records , Medical Overuse/statistics & numerical data , Primary Health Care/statistics & numerical data , Adult , Aged , Aged, 80 and over , Female , Humans , Male , Massachusetts , Middle AgedABSTRACT
Importance: Approximately half of patients with chronic conditions are nonadherent to prescribed medications, and interventions have been only modestly effective. Objective: To evaluate the effect of a remotely delivered multicomponent behaviorally tailored intervention on adherence to medications for hyperlipidemia, hypertension, and diabetes. Design, Setting, and Participants: Two-arm pragmatic cluster randomized controlled trial at a multispecialty group practice including participants 18 to 85 years old with suboptimal hyperlipidemia, hypertension, or diabetes disease control, and who were nonadherent to prescribed medications for these conditions. Interventions: Usual care or a multicomponent intervention using telephone-delivered behavioral interviewing by trained clinical pharmacists, text messaging, pillboxes, and mailed progress reports. The intervention was tailored to individual barriers and level of activation. Main Outcomes and Measures: The primary outcome was medication adherence from pharmacy claims data. Secondary outcomes were disease control based on achieved levels of low-density lipoprotein cholesterol, systolic blood pressure, and hemoglobin A1c from electronic health records, and health care resource use from claims data. Outcomes were evaluated using intention-to-treat principles and multiple imputation for missing values. Results: Fourteen practice sites with 4078 participants had a mean (SD) age of 59.8 (11.6) years; 45.1% were female. Seven sites were each randomized to intervention or usual care. The intervention resulted in a 4.7% (95% CI, 3.0%-6.4%) improvement in adherence vs usual care but no difference in the odds of achieving good disease control for at least 1 (odds ratio [OR], 1.10; 95% CI, 0.94-1.28) or all eligible conditions (OR, 1.05; 95% CI, 0.91-1.22), hospitalization (OR, 1.02; 95% CI, 0.78-1.34), or having a physician office visit (OR, 1.11; 95% CI, 0.91-1.36). However, intervention participants were significantly less likely to have an emergency department visit (OR, 0.62; 95% CI, 0.45-0.85). In as-treated analyses, the intervention was associated with a 10.4% (95% CI, 8.2%-12.5%) increase in adherence, a significant increase in patients achieving disease control for at least 1 eligible condition (OR, 1.24; 95% CI, 1.03-1.50), and nonsignificantly improved disease control for all eligible conditions (OR, 1.18; 95% CI, 0.99-1.41). Conclusions and Relevance: A remotely delivered multicomponent behaviorally tailored intervention resulted in a statistically significant increase in medication adherence but did not change clinical outcomes. Future work should focus on identifying which groups derive the most clinical benefit from adherence improvement efforts. Trial Registration: ClinicalTrials.gov identifier: NCT02512276.