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Office Visits

Office visits refer to scheduled in-person interactions between healthcare providers and patients within a clinical setting.
These visits typically involve evaluation, diagnosis, treatment, and ongoing management of a patient's health condition.
During an office visit, the healthcare provider may conduct physical examinations, order diagnostic tests, prescribe medications, and provide counseling or education to the patient.
The frequency and duration of office visits can vary depending on the patient's health needs and the provider's recommendations.
Effective office visits can help patients maintain good health, manage chronic conditions, and prevent future complications.
By optimizing office visit protocols using AI-driven tools like PubCompare.ai, healthcare providers can improve the reproduciblity and accuracy of their clinical practices and deliver higher-quality care to their patients.

Most cited protocols related to «Office Visits»

Eligible participants were assigned to a systolic blood-pressure target of either less than 140 mm Hg (the standard-treatment group) or less than 120 mm Hg (the intensive-treatment group). Randomization was stratified according to clinical site. Participants and study personnel were aware of the study-group assignments, but outcome adjudicators were not.
After the participants underwent randomization, their baseline antihypertensive regimens were adjusted on the basis of the study-group assignment. The treatment algorithms were similar to those used in the Action to Control Cardiovascular Risk in Diabetes (ACCORD) trial.22 (link) These algorithms and our formulary are listed in Figures S1 and S2 and Table S1 in the Supplementary Appendix. All major classes of antihypertensive agents were included in the formulary and were provided at no cost to the participants. SPRINT investigators could also prescribe other antihypertensive medications (not provided by the study). The protocol encouraged, but did not mandate, the use of drug classes with the strongest evidence for reduction in cardiovascular outcomes, including thiazide-type diuretics (encouraged as the first-line agent), loop diuretics (for participants with advanced chronic kidney disease), and beta-adrenergic blockers (for those with coronary artery disease).5 (link),27 (link) Chlorthalidone was encouraged as the primary thiazide-type diuretic, and amlodipine as the preferred calcium-channel blocker.28 (link),29 (link) Azilsartan and azilsartan combined with chlorthalidone were donated by Takeda Pharmaceuticals International and Arbor Pharmaceuticals; neither company had any other role in the study.
Participants were seen monthly for the first 3 months and every 3 months thereafter. Medications for participants in the intensive-treatment group were adjusted on a monthly basis to target a systolic blood pressure of less than 120 mm Hg. For participants in the standard-treatment group, medications were adjusted to target a systolic blood pressure of 135 to 139 mm Hg, and the dose was reduced if systolic blood pressure was less than 130 mm Hg on a single visit or less than 135 mm Hg on two consecutive visits. Dose adjustment was based on a mean of three blood-pressure measurements at an office visit while the patient was seated and after 5 minutes of quiet rest; the measurements were made with the use of an automated measurement system (Model 907, Omron Healthcare). Lifestyle modification was encouraged as part of the management strategy. Retention in the study and adherence to treatment were monitored prospectively and routinely throughout the trial.26 (link)
Publication 2015
Adrenergic beta-Antagonists Amlodipine Antihypertensive Agents azilsartan Calcium Channel Blockers Cardiovascular System Chlorthalidone Chronic Kidney Diseases Coronary Artery Disease Debility Diabetes Mellitus Diuretics Loop Diuretics Office Visits Patients Pharmaceutical Preparations Retention (Psychology) Systolic Pressure Thiazide Diuretics Thiazides Treatment Protocols Vision
For measuring hospital inpatient utilization, we used DRG-based quantity measures that are designed to reflect “true” medical inputs. (DRG prices are set to reflect the average of patients' hospital-borne costs within a large sample of hospitals.) We included outlier payments, which constitute 3.7 percent of total payments to short-stay hospitals, in our measure of utilization because they represent real resources spent for patients with unusually high health care costs.
For payments to physicians under the Medicare Part B (physician services) program, we relied primarily on relative value units, which Medicare uses as a measure of the amount of time spent on an office visit, for example. In practice, Medicare reimburses physicians in New York more for an office visit than for an identical office visit in Wisconsin by paying more per relative value unit. Our method “undoes” this differential by recreating Part B spending using the same dollar payment per relative value unit whether the doctor is in Wisconsin or New York. Thus, if Part B spending is higher in New York, it's because more services are provided, and not because prices are higher.
Other Medicare spending categories were calculated to measure, indirectly, the actual service provided to the patient. These adjustments relied in turn on the CMS regional wage index as the primary mechanism to adjust Medicare expenditures. The wage index is particularly useful when the price-adjustment mechanism used by Medicare to reimburse providers is too complex to unravel or requires additional data sets (such as nursing home risk-adjustment assessments). This index is the primary means to adjust expenditures for the variety of Medicare spending components exclusive of Part A inpatient and Part B physician payments.
For Medicare outpatient payments, only 60 percent of the base payment is eligible for adjustment by the local wage index. Medicare assumes that 60 percent of expenses represent local purchases (and hence local prices) for employees, rents, and other input costs. The remaining 40 percent of Medicare outpatient payments are assumed to not require local price adjustment because they are bought on a national market.10
A similar logic was used for other categories of Medicare expenditures, although we assumed a 75/25 mix—a rough average among the different categories of expenditures such as nursing homes—rather than the 60/40 mix described above.11 –13 The adjustment factors for these smaller components of overall Medicare spending may be imperfect. But these imperfections have little impact on our overall estimates of Medicare spending because they are small relative to inpatient and physician charges that rely on DRGs and RVUs, respectively.
Publication 2010
Health Risk Assessment Inpatient Nursing Assessment Office Visits Outpatients Patients Physicians
Drawing on the analytic matrices for each program component and CFIR domain combination, we described patterns of barriers and facilitators to implementation as they emerged across the 21 practices. Our reporting of findings conveyed the richness of the qualitative information and preserved the complexity of these patterns while maximizing learning across practices. We did not use CFIR terminology to report our findings but rather we framed key findings in language familiar to our audience.
In addition to our narrative report of these findings, we developed a summary table of barriers and facilitators to implementation as they emerged across the 21 practices, organized by CFIR domain, across each of the five CPC components (Table 4) [12 ]. This table identifies barriers or facilitators that were common across the program components, as well as those that were unique to each component. Visualizing barriers and facilitators in this manner may be helpful for identifying key areas where additional support could be important for implementation success.

Facilitators and barriers to implementation across the five CPC components, as commonly reported or observed in deep-dive practice interviews and visits conducted in 2013

CFIR domainCPC component
Access and continuityPlanned care for chronic conditions and population healthRisk-stratified care managementPatient and caregiver engagementCoordination of care
Characteristics of the CPC initiative
 Facilitators
  Adequate resources for new capacities (both financial and time)
  Compatibility with care improvement objectives
 Barriers
  Insufficient resources for new capacities (tools, financial, time)xx
  Complex or unclear requirementsxx
External environment and context
 Facilitators
  Effective local electronic HIE
  HIT “meaningful use” incentives
  Regional history of patient-centered medical home programs
 Barriers
  Lack of direct electronic access to health information from other care settingsxxx
  Delays in access to patient survey resultsx
  Gaps in electronic information available through HIExxx
  Complexity of needs in patient populationx
Internal context and setting of the practice
 Facilitators
  Prior experience with quality improvement efforts
  Organizational commitment to population health approaches to care
  Independent practices could make rapid change
  System-affiliated practices had support for management, HIT, quality improvement
  Integration of new work with existing work processes
  EHR technology integrated with disease registries and patient reminder systems
  Prior use of shared decision-making tools
  Existing staff trained in patient self-management approaches
 Barriers
  Organizational commitment to traditional office visit-driven model of carexx
  Independent practices lacked support for management, HIT, and quality improvementx
  System-affiliated practices had limited local authority to make changexxxxx
  Lack of a practice-level quality improvement infrastructurexxxxx
  Lack of population management systems and sufficient care management staffingx
  Lack of knowledge of available shared decision-making toolsxx
  Preventive health and chronic illness-related data entered into EHRs as unstructured dataxx
  EHRs had to be modified to integrate new workxx
Characteristics and attitudes of practice staff and clinicians
 Facilitators
  Shared staff and clinician commitment to population health approaches to care
 Barriers
  Clinician skepticism regarding the value of CPC requirementsxx
  Shared staff and clinician commitment to office visit-driven model of carex
CPC implementation process within the practice
 Facilitators
  Use of established quality improvement processes
  Use of pilot testing before making practice-wide changes
  Tailored assistance from regional learning faculty
  Standardization of implementation processes across system-affiliated practices
  Dedicated CPC implementation meetings
 Barriers
  Implementation limited to some (not all) clinicians or care teams, creating multiple workflows for the same processesxxxx
  Knowledge of CPC requirements unevenly shared across practice membersxxxx

Source: [12 ]. For each CPC component where they apply, facilitators are indicated with a checkmark and barriers are indicated with an x. CPC Comprehensive Primary Care initiative, EHR electronic health record, HIE health information exchange, HIT health information technology

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Publication 2017
Comprehensive Health Care Disease, Chronic Faculty Goals of Care Health Information Exchange Long-Term Care Meaningful Use Office Visits Patients Population Health Preventive Health Services Self-Management Staff Attitude
All patients who were enrolled in the bariatric surgery program in the Center for Nutrition and Weight Management at Geisinger Clinic were offered participation in an ongoing research program in obesity using clinical data accessed through the electronic health record that was approved by the Geisinger Clinic Institutional Review Board. For this study, a total of 2028 patients who underwent RYGB gastric bypass surgery from 01/01/2004 through 07/02/2010 were included in the database. The bariatric surgery program consisted of a 6 to 12 month pre-operative assessment and preparation period that included a diet-induced weight loss target of 10% of body weight. Patients were followed at approximately 1, 3, 5, and 12 months following RYGB surgery and every 12 months thereafter. All clinical data were entered into the EpicCare® EHR (Verona, WI). The EpicCare® EHR integrates information from a variety of sources into a common interoperable database that includes patient demographics, vitals, clinical measures, problem list (based on ICD-9 codes), medical history, medication history, personal and family histories, encounters (e.g. office visits, hospitalizations, nurse encounters, telephone inquiries and specialty consultations), orders (e.g. labs, medications, imaging and procedures), appointments, digital imaging (e.g. MRI, CT, X-ray, medical photography), results (e.g. procedure reports, lab results, pathology reports), and billing and claims databases (detailed financial transactions associated with each clinical encounter). All data except laboratory results, which were fed directly to the EHR by the laboratory information system, were entered at the point-of-care including age, sex, height, and weight, lifestyle factors (e.g., smoking, alcohol, etc.), clinical measures (e.g., blood pressure), all orders (i.e., lab requests, prescriptions, imaging, and procedures) which require at least one indication (i.e., ICD-9 code), active use of all medications, and all co-morbidities. The schema for data acquisition is shown in Figure 1.
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Publication 2012
Bariatric Surgery Blood Pressure Diet Ethanol Ethics Committees, Research Fingers Gastric Bypass Hospitalization Nurses Obesity Office Visits Operative Surgical Procedures Patients Pharmaceutical Preparations Point-of-Care Systems Prescriptions Radiography
To prepare these patient-based evaluation criteria, we first interviewed patients during office visits occurring between July and September 2006 about any difficulties related to their hips. This interview was conducted by physicians or nurses with open question methods at eight university hospitals and six municipal hospitals in the whole of Japan. We analyzed and pooled patients’ comments for use in preparing a questionnaire. Furthermore, we considered some preexisting QOL criteria and some evaluation criteria, such as those from the SF-36, and included some items from such sources in the questionnaire item pool. We then compiled a self-administered questionnaire for the purpose of preparing criteria and used it in a survey conducted at 12 university hospitals and 5 municipal hospitals throughout Japan from December 2007 to August 2008. Permission to conduct the survey was obtained from the ethics committee of each institution, and all patients consented to participate after being given complete information about this survey.
In order to select questionnaire question items and prepare evaluation criteria, the obtained data were subjected to factor analysis. In the factor analysis, we first identified the number of factors by principal component analysis [14 ], and then conducted rotation with obtained number using the Quartimin method [15 (link)]. To verify the reliability of the completed questionnaire, we calculated the Cronbach’s α [16 (link)] for each factor using the items applied. Statistical analysis was performed using SAS (version 9.1; SAS Institute Inc., Cary, NC, USA).
Publication 2011
Coxa Institutional Ethics Committees Nurses Office Visits Patients Physicians

Most recents protocols related to «Office Visits»

This was a retrospective cohort study on prospectively collected data of a sample of consecutive patients undergoing total knee arthroplasty due to end-stage osteoarthritis unresponsive to conservative treatments at a single facility by a fellowship-trained joint reconstructive surgeon. The study period was between June 2018 and March 2021. Institutional Review Board (IRB) exemption was obtained prior to study initiation. Waiver of informed consent was issued by the same IRB. There were 89 patients (121 knees) treated with 1G and 98 patients (123 knees) treated with 2G who consented to be enrolled for the study. The surgeon switched from 1G to 2G prostheses once the new implants were available to order. No changes in patient selection strategies were made once the new generations were implanted. Patients were excluded from the study if they had a history of metabolic bone disease (such as Paget’s disease of bone, severe osteoporosis), systemic conditions affecting bone density (e.g. renal osteodystrophy; inflammatory arthritis), bony defects requiring grafting, a poorly functioning contralateral TKA or revision regardless of function.
All TKAs were performed via a medial parapatellar approach using an intramedullary femoral alignment guide set at five-degrees and an extramedullary tibial alignment guide set at neutral in the coronal plane with a neutral posterior slope in the sagittal plane. All TKAs were cemented (Palacos®, Heraeus Medical, Hanau, Germany). The postoperative protocol was the same in all cases including deep vein thrombosis prophylaxis, prophylactic antibiotics, and follow-up schedule (8 weeks, 6 months, 1 year, and every 1 to 2 years thereafter). Physical therapy was initiated on the day of operation. Each exam was performed by the attending physician.
As per the study protocol, the surgeon switched from 1G to 2G a year into the study period. Data for demographic parameters including age, gender, race, and body mass index (BMI) were collected preoperatively. Scores from patient-reported outcome measures such as the Knee Injury and Osteoarthritis Outcome Survey-Joint Replacement (KOOS-JR) [10 (link)] and Knee Society clinical and radiographic scoring system (KSS) were collected at each office visit [11 (link)]. Scores from different components of KSS were reported separately. These components were objective knee score, functional score, patient satisfaction and expectation score. Intra- and post-operative complications, as well as any revisions, reoperations, and returns to operating room, were diligently recorded. All data were collected prospectively in an institutional database. This study represents a retrospective review of these prospectively collected data.
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Publication 2023
Antibiotics Arthritis Arthroplasty Arthroplasty, Replacement Bone Density Bones Condoms Conservative Treatment Deep Vein Thrombosis Degenerative Arthritides Ethics Committees, Research Fellowships Femur Gender Index, Body Mass Injuries Knee Knee Injuries Knee Replacement Arthroplasty Metabolic Bone Disease Office Visits Osteitis Deformans Osteoarthritis, Knee Osteoporosis Patients Physicians Postoperative Complications Prosthesis Renal Osteodystrophy Repeat Surgery Surgeons Surgery, Day Therapy, Physical Tibia X-Rays, Diagnostic
Medical records of patients with SLC6A1-Related disorder were reviewed from the SLC6A1-Related disorder specialty clinic at the University of Texas Southwestern seen from 2020. Individuals with pathogenic, likely pathogenic, or variants of unknown significance with clinical phenotypes consistent with SLC6A1-Related disorder were included. Demographics, neurological histories, developmental milestones, and frequency of autism spectrum disorder, seizures and semiology, movement problems (ataxia or tremor), gastrointestinal problems (constipation, diarrhea, or feeding problems), sleep problems (problems with sleep initiation or maintenance), and behavioral problems (ADHD, aggression, irritability) were collected. Details regarding development were obtained from guardians, office visits, and medical chart review. Genotype was obtained from review of clinical genetic testing reports. Language impairment is commonly a leading concern for caregivers of children with developmental disability. We defined severe language impairment as having 10 spoken words or fewer. The cohort was divided into individuals with SRD who had a history of developmental regression (Regression Group) and a group with SRD who did not have a history of developmental regression (Control Group). Due to the small sample size and rarity of this disorder, the groups were not matched. We defined developmental regression as loss of a previously obtained motor, language, or social/adaptive skill based on caregiver report and documentation in the medical record. Skills were affirmed to have been established by caregiver report and lost for at least one week. We also characterized whether the individual recovered the previously lost skills. This study was approved by the UT Southwestern Institutional Review Board.
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Publication 2023
Acclimatization Ataxia Autism Spectrum Disorders Child Constipation Developmental Disabilities Diarrhea Disorder, Attention Deficit-Hyperactivity Dyssomnias Ethics Committees, Research Genotype Language Disorders Legal Guardians Movement Office Visits pathogenesis Patients Phenotype Problem Behavior Rare Diseases Seizures Tremor Vision
Costs were estimated using the bottom-up and human capital approaches. The three phases of identification, measurement, and valuation of resources were used to estimate the average cost imposed by the illness. 10 (link)
To this end, the Persian version of the work productivity and activity impairment in patients with asthma (WPAI-AQ) questionnaire was used. The reliability and validity of the Persian version of the questionnaire were already confirmed in a previous study. 17 (link)
The questionnaire includes 34 items divided into three sections. The first section includes items related to demographic and anthropometric variables, such as socioeconomic, smoking, and insurance status. The second section covers asthma severity such as grade and symptoms. Finally, the third section includes items related to direct medical and non-medical costs as well as indirect expenditures. Direct medical costs include the actual costs to patients and those covered by insurance companies, e.g., physician office visits, radiology, laboratory, and diagnostic tests (spirometry, oximetry), prescription medication, emergency visits, and hospitalization. Depending on the type of health care insurance, 30%-70% of the costs are covered by insurance companies. Non-medical costs include payments by patients for travel, lodging, and transportation. In addition, indirect costs were also addressed in the WPAI-AQ questionnaire and covered the costs related to the effect of the disease on the quality of life due to impairment, productivity loss due to activity impairment, and days lost from work/school.
The participants were instructed by an expert on how to complete the self-report WPAI-AQ questionnaire. They were requested to complete the questionnaire quarterly for one year, either in one of the clinics or through a telephone interview.
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Publication 2023
Asthma Emergencies Health Insurance Homo sapiens Hospitalization Office Visits Oximetry Patients Physicians Prescription Drugs Spirometry Tests, Diagnostic X-Rays, Diagnostic
Samples were from 30 patients with iCCA, 17 samples with PSC, and 20 patients with other liver diseases but not iCCA or PSC seen at Mayo Clinic, Rochester, MN between January 2000 and May 2010. Peripheral blood was collected from each participant at the time of the office visit before treatment. Sera were stored at −80°C. The following data elements were abstracted from the medical record: demographics (age, gender, ethnicity, race, weight, height), medical history, etiology of liver disease, laboratory data including CA19-9 and AFP, and imaging results (ultrasound, CT, or MRI). Histopathology results and radiologic findings from the medical records of all patients were reviewed to ascertain the diagnosis of iCCA and identify tumor location. The diagnosis of iCCA in all patients was confirmed by histopathology. The anatomic location of CCAs was categorized as “intrahepatic” if the mass lesion arose within the hepatic parenchyma and did not extend to or involve the secondary branches of the biliary trees as demonstrated either by CT imaging, MRI, or endoscopic retrograde cholangiopancreatography findings. The etiology of liver disease was based on the laboratory, imaging, and histopathology results and the judgment of the treating physician. For patients with viral hepatitis, anti-HCV antibody, serum HCV RNA, HBV surface antigen, HBV e-antigen, and HBV DNA levels were recorded. Clinical information of the serum cohort is listed in Supplementary Fig. S2C.
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Publication 2023
BLOOD CA-19-9 Antigen Congenital contractural arachnodactyly Diagnosis Endoscopic Retrograde Cholangiopancreatography Ethnicity Gender Hepatitis B e Antigens Hepatitis C Antibodies Hepatitis Viruses Liver Diseases Neoplasms by Site Office Visits Patients Physicians Serum Surface Antigens System, Biliary Ultrasonography Vision
Patient demographic and clinical characteristics, and all-cause and disease-related HRU and direct healthcare costs, were measured by EAC risk/diagnosis cohort from GERD to EAC. Disease-related outcomes were identified using claims with a diagnosis code, procedure code for a diagnostic test or treatment, or National Drug Code for a treatment for GERD, NDBE, IND, LGD, HGD, or EAC. Healthcare resource utilization included IP admissions, emergency department (ED) visits, and days with OP services (including laboratory tests, imaging, mental health services, drug administration, skilled nursing facilities, and home care/hospice services in addition to office visits [day with office visits excluded other type of OP services during that day]). Direct healthcare costs included total (medical and pharmacy), medical (IP, ED, OP), and pharmacy costs, as well as costs associated with disease-related esophagogastroduodenoscopy (EGD). Costs were evaluated from a payer perspective (ie, amounts reimbursed by the health plan and coordination of benefit), adjusted for inflation using the US Medical Care component of the Consumer Price Index, and reported in 2020 US dollars.19
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Publication 2023
Diagnosis Esophagogastroduodenoscopy Gastroesophageal Reflux Disease Health Planning Hospice Care Mental Health Services Office Visits Patients Pharmaceutical Preparations Tests, Diagnostic

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More about "Office Visits"

Clinic Visits, Healthcare Consultations, Patient-Provider Interactions, In-Person Appointments, Clinical Evaluations, Medical Checkups, Outpatient Encounters, Ambulatory Care, Routine Exams, Diagnostic Visits, Treatment Sessions, Chronic Disease Management, Preventive Care, SAS 9.4 Statistical Software, Micromedex RED BOOK Drug Reference, SPSS 15.0 Analytics Platform, EpicCare Electronic Health Records, Stata 14 Data Analysis, HEM-7252G-HP Blood Pressure Monitor, Model 907 Thermometer.
Office visits are scheduled, in-person interactions between healthcare providers and patients within a clinical setting.
These visits typically involve evaluation, diagnosis, treatment, and ongoing management of a patient's health condition.
During an office visit, the provider may conduct physical exams, order tests, prescribe medications, and offer counseling or education.
The frequency and duration of visits can vary based on the patient's needs and the provider's recommendations.
Effective office visits help patients maintain good health, manage chronic issues, and prevent future complications.
By optimizing office visit protocols using AI-driven tools like PubCompare.ai, providers can improve the reproducibility and accuracy of their clinical practices and deliver higher-quality care to their patients.
Thr the power of AI-driven research with PubCompare.ai to take your office visits to the next level.