Key Performance Indicators: A Framework for Allied Healthcare Educational Institutions.

Background: Performance evaluation in the allied healthcare education sector is complex, making it essential for policymakers and managers to approach it comprehensively and thoughtfully to understand their performance. Hence, the development and monitoring of Key Performance Indicators (KPIs) in this domain must be considered one of the key priorities for the policymakers in AHIs. Aim: This study aims to develop a framework for the AHIs to extract and profile the indicators, measure, and report the results appropriately. Methods: The authors adopted a general review of the literature approach to study the primary goals of the institutional KPI framework, emphasizing the need for benchmarking while implementing KPIs and how to track performance using a KPI dashboard. Results: The study provides the scope, relevant KPI categories, and a list of KPIs for evaluating the effectiveness of allied healthcare programs. The study findings also emphasized the need for benchmarking the KPIs and establishing a KPI dashboard while measuring and monitoring performance. Conclusion: KPIs are considered an invaluable tool that contributes immensely to the performance monitoring process of AHIs, irrespective of the specialties. This helps to identify and guide AHIs for developing KPIs and the associated minimum data set to measure organizational performance and monitor the quality of teaching and learning. In addition, the KPI framework reported in this study is a tool to assist performance monitoring that can subsequently contribute to the overall quality of AHIs.

The long-term effects of COVID-19 on pulmonary status and quality of life.

Background: Few studies have looked at how SARS-CoV-2 affects pulmonary function, exercise capacity, and health-related quality of life over time. The purpose of this study was to evaluate these characteristics in post COVID-19 subjects 1 year after recovery. Methods: The study included two groups. The case group included post COVID-19 subjects who had recovered after a year, and the control group included healthy participants who had never tested positive for COVID-19. Results: The study screened 90 participants, 42 of whom met the eligibility criteria. The findings revealed that the majority of post COVID-19 subjects had relatively normal lung function 1-year post-recovery. A significant reduction in DLCO (B/P%) was observed in the case group vs. control. The exercise capacity test revealed a clinically significant difference in distance walked and a significant difference in the dyspnea post-walk test in the case group compared to the control group. The case group's health-related quality of life domain scores were significantly affected in terms of energy/fatigue, general health, and physical function. Conclusions: The post COVID-19 subjects were shown to have well-preserved lung function after 1 year. However, some degree of impairment in diffusion capacity, exercise capacity, and health-related quality of life remained.

Knowledge, practice, counseling confidence, and intention to use AAR model of smoking cessation among respiratory therapists: A cross-sectional study.

There is a paucity of research on knowledge, practice, counseling confidence, and intention to use ask, advice, and refer (AAR) model of smoking cessation among respiratory therapists (RTs). Thus, we aimed to analyze the characteristics and factors that may influence them. We collected data using online questionnaires from convenience sample of active licensed RTs in Saudi Arabia. We included 206 participants. A descriptive analysis of the demographic information and characteristics of smoking cessation counseling practices and confidence were conducted. Multiple linear regression was used to test whether demographic variables and AAR model components significantly predicted the RTs' calculated cumulative score of tobacco counseling confidence skills. Our results showed a deficiency in tobacco knowledge among RTs. Most RTs did not have certifications or attend lectures or seminars related to tobacco treatment. RTs were unfamiliar with the smoking cessation program contact information and mobile smoking cessation clinics but reported a high tobacco counseling confidence score. Clinical experience (P = .008), familiarity with smoking cessation program contact information (P = .02), inquiry regarding smoking status (P < .001), and advice regarding smoking status (P = .03) significantly predicted tobacco counseling confidence levels in RTs. RT experience, knowledge, and awareness of smoking cessation programs could enhance the confidence level among them in implementing AAR model.

Relationship Between Heart Disease and Obesity Indicators Among Adults: A Secondary Data Analysis.

Background Body mass index (BMI), waist circumference (WC), and hip circumference (HC) determine obesity. Several studies have examined the association between obesity and many diseases, including heart disease, and found it to be a substantial risk factor. However, the relationship between heart disease and obesity has not been investigated. This study investigated the relationship between heart disease and obesity indicators among adults encompassing sociodemographic and lifestyle factors. Methodology This cross-sectional study included data from 3,574 individuals who participated in the 2011-2014 National Survey of Midlife Development in the United States refresher. The presence or absence of heart conditions such as irregular heartbeat, heart murmur, heart attack, and heart failure was determined using self-reported questionnaires. The association between heart disease and obesity indicators such as BMI, WC, HC, and waist-to-hip ratio (WHR) was investigated using linear regression. Results After controlling for all factors, the findings demonstrated a significant relationship between heart disease and BMI, WC, and HC high scores of 1.12 kg/m2, 0.63 inches, and 0.81 inches, respectively. A higher score in all obesity indicators was linked to being 65 years or older; male gender (for HC); having a school/college level of education; being unmarried, divorced, or widowed; having a history of smoking; and avoiding alcohol use. Conclusions Heart disease and sociodemographic and lifestyle factors are substantially associated with a high score in all obesity indicators. The findings of this study are important because they can assist healthcare providers in implementing different therapies to prevent high BMI, WC, HC, and WHR.

Physical activity and exercise capacity in patients with moderate COPD exacerbations.

Little is known about changes in physical activity during moderate (out-patient managed) exacerbations.6-min walking distance (6MWD) was measured during 50 exacerbations when the patients were stable, and at 3 and 7 days post-exacerbation presentation. At similar time points, quadriceps maximum voluntary contraction (QMVC) was measured during 47 different exacerbations. Physical activity (SenseWear; Bodymedia Inc., Pittsburgh, PA, USA) was recorded over 2 consecutive-week periods post-presentation.6MWD fell from a median 422 m when stable to 373 m on day 3 (p=0.001). Similarly, QMVC fell from 32.6 versus 29.7 kg (p=0.026). Falls in 6MWD were associated with a rise in C-reactive protein (r= -0.364; p=0.041) and increased Functional Assessment of Chronic Illness Therapy-Fatigue (FACIT-F) (r= -0.44; p=0.013). Light physical activity was 2.18 h·day(-1) during the first week post-exacerbation and was less over week 2 (1.98 h·day(-1); p=0.009). Patients who had attended pulmonary rehabilitation had smaller changes in 6MWD than those who had not attended (-35.0 versus -114.9 m; p=0.013). Falls in physical activity were correlated with higher depression scores (rho= -0.51; p=0.006).These findings indicate that exercise capacity and muscle strength fall at exacerbation in chronic obstructive pulmonary disease patients who are treated at home and are free to maintain normal activity.

Influence of weather and atmospheric pollution on physical activity in patients with COPD.

RATIONALE: Information concerning how climate and atmospheric pollutants affects physical activity in COPD patients is lacking and might be valuable in determining when physical activity should be encouraged. METHODS: Seventy-three stable COPD patients recorded on daily diary cards worsening of respiratory symptoms, peak expiratory flow rate, hours spent outside the home and the number of steps taken per day. Pedometry data was recorded on 16,478 days, an average of 267 days per patient (range 29-658). Daily data for atmospheric PM10 and ozone (O3) were obtained for Bloomsbury Square, Central London from the Air Quality Information Archive databases. Daily weather data were obtained for London Heathrow from the British Atmospheric Data Archive. RESULTS: Colder weather below 22.5 °C, reduced daily step count by 43.3 steps day per °C (95% CI 2.14 to 84.4; p = 0.039) and activity was lower on rainy than dry days (p = 0.002) and on overcast compared to sunny days (p < 0.001). Daily step count was 434 steps per day lower on Sunday than Saturday (p < 0.001) and 353 steps per day lower on Saturday than Friday (p < 0.001). After allowance for these effects, higher O3 levels decreased activity during the whole week (-8 steps/ug/m3; p = 0.005) and at weekends (-7.8 steps/ug/m3; p = 0.032). Whilst, during the week PM10 reduced activity (p = 0.018) but not during the weekend. CONCLUSIONS: Inactivity of COPD patients is greatest on cold, wet and overcast days and at the weekends. This study also provides evidence of an independent effect of atmospheric pollution at high levels.

Daily activity during stability and exacerbation of chronic obstructive pulmonary disease.

BACKGROUND: During most COPD exacerbations, patients continue to live in the community but there is little information on changes in activity during exacerbations due to the difficulties of obtaining recent, prospective baseline data. METHODS: Patients recorded on daily diary cards any worsening in respiratory symptoms, peak expiratory flow (PEF) and the number of steps taken per day measured with a Yamax Digi-walker pedometer. Exacerbations were defined by increased respiratory symptoms and the number of exacerbations experienced in the 12 months preceding the recording of daily step count used to divide patients into frequent (> = 2/year) or infrequent exacerbators. RESULTS: The 73 COPD patients (88% male) had a mean (±SD) age 71(±8) years and FEV1 53(±16)% predicted. They recorded pedometer data on a median 198 days (IQR 134-353). At exacerbation onset, symptom count rose by 1.9(±1.3) and PEF fell by 7(±13) l/min. Mean daily step count fell from 4154(±2586) steps/day during a preceding baseline week to 3673(±2258) step/day during the initial 7 days of exacerbation (p = 0.045). Patients with larger falls in activity at exacerbation took longer to recover to stable level (rho = -0.56; p < 0.001). Recovery in daily step count was faster (median 3.5 days) than for exacerbation symptoms (median 11 days; p < 0.001). Recovery in step count was also faster in untreated compared to treated exacerbation (p = 0.030).Daily step count fell faster over time in the 40 frequent exacerbators, by 708 steps/year, compared to 338 steps/year in 33 infrequent exacerbators (p = 0.002). CONCLUSIONS: COPD exacerbations reduced physical activity and frequent exacerbations accelerate decline in activity over time.