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At least 145 records · Page 8Linked to original sources
PubMed2003

How to release allocated operating room time to increase efficiency: predicting which surgical service will have the most underutilized operating room time.

At many facilities, surgeons and patients choose the day of surgery, cases are not turned away, and staffing is adjusted to maximize operating room (OR) efficiency. If a surgical service has already filled its allocated OR time, but has an additional case to schedule, then OR efficiency is increased by scheduling the new case into the OR time of a different service with much underutilized OR time. The latter service is said to be "releasing" its allocated OR time. In this study, we analyzed 3 years of scheduling data from a medium-sized and a large surgical suite. Theoretically, the service that should have its OR time released is the service expected to have the most underutilized OR time on the day of surgery (i.e., any future cases that may be scheduled into that service's time also need to be factored in). However, we show that OR efficiency is only slightly less when the service whose time is released is the service that has the most allocated but unscheduled (i.e., unfilled) OR time at the moment the new case is scheduled. In contrast, compromising by releasing the OR time of a service other than the one with the most allocated but unscheduled OR time markedly reduces OR efficiency. OR managers can use these results when releasing allocated OR time.

Appointments and Schedules↗
PubMed2000

Stochastic dynamics of time correlation in complex systems with discrete time

In this paper we present the concept of description of random processes in complex systems with discrete time. It involves the description of kinetics of discrete processes by means of the chain of finite-difference non-Markov equations for time correlation functions (TCFs). We have introduced the dynamic (time dependent) information Shannon entropy S(i)(t) where i=0,1,2,3,ellipsis, as an information measure of stochastic dynamics of time correlation (i=0) and time memory (i=1,2,3,ellipsis). The set of functions S(i)(t) constitute the quantitative measure of time correlation disorder (i=0) and time memory disorder (i=1,2,3,ellipsis) in complex system. The theory developed started from the careful analysis of time correlation involving dynamics of vectors set of various chaotic states. We examine two stochastic processes involving the creation and annihilation of time correlation (or time memory) in details. We carry out the analysis of vectors' dynamics employing finite-difference equations for random variables and the evolution operator describing their natural motion. The existence of TCF results in the construction of the set of projection operators by the usage of scalar product operation. Harnessing the infinite set of orthogonal dynamic random variables on a basis of Gram-Shmidt orthogonalization procedure tends to creation of infinite chain of finite-difference non-Markov kinetic equations for discrete TCFs and memory functions (MFs). The solution of the equations above thereof brings to the recurrence relations between the TCF and MF of senior and junior orders. This offers new opportunities for detecting the frequency spectra of power of entropy function S(i)(t) for time correlation (i=0) and time memory (i=1,2,3,ellipsis). The results obtained offer considerable scope for attack on stochastic dynamics of discrete random processes in a complex systems. Application of this technique on the analysis of stochastic dynamics of RR intervals from human ECG's shows convincing evidence for a non-Markovian phenomemena associated with a peculiarities in short- and long-range scaling. This method may be of use in distinguishing healthy from pathologic data sets based in differences in these non-Markovian properties.

Journal Article↗
PubMed1998

The effects of lag-time and dwell-time on the compaction properties of 1:1 paracetamol/microcrystalline cellulose tablets prepared by pre-compression and main compression.

The effects of lag-time and dwell-time on the compaction properties of tablets compressed from a 1:1 blend of paracetamol and microcrystalline cellulose have been examined using a compaction simulator. Increases in lag-times (from 0.06 to 0.53 s) resulted in small increases in the tensile strengths of the tablets when combinations of 80 and 160 MPa were used as the compression pressures. Further increases in lag-time did not alter the tablet strengths. When combinations of 240 and 320 MPa were used for pre-compression and main compression, the effects on the tensile strengths were more complex, partly because the high elastic recoveries of the tablets resulted in greater variability in the data. Increases in lag-times from 0.06 to 0.97 s resulted in an increase of between 12 and 28% in tensile strength. Longer lag-times (1.24 or 1.52 s) did not result in further increases in tensile strength. The application of a dwell-time of 0.26 s during pre-compression or main compression pressures of 80 and 160 MPa generally led to a decrease (14-22%) in tensile strength compared with tablets where no dwell-time was used. This was because of increases in both the elastic recoveries and elastic energies. Subsequent increases in dwell-time from 0.26 to 0.9 s resulted in increases in tablet strength compared with that obtained when no dwell-time was applied. The tensile strengths of tablets made with a pre-compression of 160 MPa then a main compression of 80 MPa were 11-33% higher than those of tablets made with a pre-compression of 80 MPa then a main compression of 160 MPa. This was because higher plastic energies and more plastic deformation occurred at the higher pre-compression. Generally, the application of dwell-time resulted in greater increases in tensile strengths than lag-time, which had less effect on the compaction properties.

Acetaminophen↗
PubMed1996

Effects of actual waiting time, perceived waiting time, information delivery, and expressive quality on patient satisfaction in the emergency department.

STUDY OBJECTIVE: To determine the effects of actual waiting time, perception of waiting time, information delivery, and expressive quality on patient satisfaction. METHODS: During a 12-month study period, a questionnaire was administered by telephone to a random sample of patients who had presented to a suburban community hospital emergency department during the preceding 2 to 4 weeks. Respondents were asked several questions concerning waiting times (ie, time from triage until examination by the emergency physician and time from triage until discharge from the ED), information delivery (eg, explanations of procedures and delays), expressive quality (eg, courteousness, friendliness), and overall patient satisfaction. RESULTS: There were 1,631 respondents. The perception that waiting times were less than expected was associated with a positive overall satisfaction rating for the ED encounter (P < .001). Satisfaction with information delivery and with ED staff expressive quality were also positively associated with overall satisfaction during the ED encounter (P < .001). Actual waiting times were not predictive of overall patient satisfaction (P = NS). CONCLUSION: Perceptions regarding waiting time, information delivery, and expressive quality predict overall patient satisfaction, but actual waiting times do not. Providing information, projecting expressive quality, and managing waiting time perceptions and expectations may be a more effective strategy to achieve improved patient satisfaction in the ED than decreasing actual waiting time.

Adolescent↗
PubMed1999

Response time and word recognition using a Modified-Rhyme monitoring task: list equivalency and time-order effects.

OBJECTIVE: The purpose of this study was to assess list equivalency and time-order effects of word recognition scores and response time measures obtained using a digital recording of the Modified Rhyme Test (MRT) with a response time monitoring task (Mackersie, Neuman, & Levitt, 1999). DESIGN: Response times and percent correct measures were obtained from listeners with normal hearing using the MRT materials presented at a signal to noise ratio of +3 dB. Listeners were tested using a word-monitoring task in which six alternatives were presented in series and listeners pushed a button when they heard the target word (as displayed on the computer monitor). Listeners were tested in two sessions. During each session each of the six MRT lists was administered once. Time-order effects were examined both between and within test sessions. RESULTS: All lists were equivalent for both speech recognition accuracy and response time except List 1, which showed slightly higher percent correct scores than the other lists. Varied patterns of systematic change over time were observed in 75% of the listeners for the response time measures and for 33% of the listeners for the percent correct measures. CONCLUSIONS: Lists 2 through 6 of this version of the MRT are equivalent, with List 1 producing slightly higher word recognition scores. Systematic changes over time in response time data for the majority of listeners suggest the need for careful implementation of the test to avoid time-order effects.

Adult↗
PubMed1999

New methods of time series analysis of non-stationary EEG data: eigenstructure decompositions of time varying autoregressions.

OBJECTIVE: Those who analyze EEG data require quantitative techniques that can be validly applied to time series exhibiting ranges of non-stationary behavior. Our objective is to introduce a new analysis technique based on formal non-stationary time series models. This novel method provides a decomposition of the time series into a set of 'latent' components with time-varying frequency content. The identification of these components can lead to practical insights and quantitative comparisons of changes in frequency structure over time in EEG time series. METHODS: The technique begins with the development of time-varying autoregressive models of the EEG time series. Such models have been previously used in EEG analysis but we extend their utility by the introduction of eigenstructure decomposition methods. We review the basis and implementation of this method and report on the analysis of two channel EEG data recorded during 3 generalized tonic-clonic seizures induced in an individual as part of a course of electroconvulsive therapy for major depression. RESULTS: This technique identified EEG patterns consistent with prior reports. In addition, it quantified a decrease in dominant frequency content over the seizures and suggested for the first time that this decrease is continuous across the end of the seizures. The analysis also suggested that the seizure EEG may be best modeled by the combination of multiple processes, whereas post-ictally there appears to be one dominant process. There was also preliminary evidence that these features may differ as a function of ECT therapeutic effectiveness. CONCLUSIONS: Eigenanalysis of time-varying autoregressive models has promise for improving the analysis of EEG time series.

Brain↗
PubMed1998

Time perspective: temporal extension, time estimation, and impulsivity.

It has been proposed that time perspective is an important variable that can, in part, explain the differences between people in terms of the development of self-control. One corollary of this position is that time perspective is somehow related to systematic biases in the way people perceive the passage of time. Such a bias may or may not be augmented by an association between time perspective and impulsivity. Two studies were conducted using measures of temporal extension, time estimation, and impulsivity. In general, no consistent effects were found. Neither time perspective nor impulsivity was related to any characteristic pattern of errors. In the second study, time perspective (mediated by age) was associated with predicting very brief time estimation scores, but not longer time estimation periods. It was concluded that whatever the mechanism might be that underlies the purported effect between time perspective and self-control, it is not related to a differential ability to perceive time moving more or less quickly.

Adolescent↗
PubMed1999

An operating room scheduling strategy to maximize the use of operating room block time: computer simulation of patient scheduling and survey of patients' preferences for surgical waiting time.

UNLABELLED: Determining the appropriate amount of block time to allocate to surgeons and selecting the days on which to schedule elective cases can maximize operating room (OR) use. We used computer simulation to model OR scheduling. Inputs in the computer model included different methods to determine when a patient will have surgery (on-line bin-packing algorithms), case durations, lengths of time patients wait for surgery (2 wk is the median longest length of time that the outpatients [n = 367] surveyed considered acceptable), hours of block time each day, and number of blocks each week. For block time to be allocated to maximize OR utilization, two parameters must be specified: the method used to decide on what day a patient will have surgery and the average length of time patients wait to have surgery. OR utilization depends greatly on, and increases as, the average length of time patients wait for surgery increases. IMPLICATIONS: Operating room utilization can be maximized by allocating block time for the elective cases based on expected total hours of elective cases, scheduling patients into the first available date provided open block time is available within 4 wk, and otherwise scheduling patients in "overflow" time outside of the block time.

Anesthesia↗
PubMed2000

Relationship between timed 'up and go' and gait time in an elderly orthopaedic rehabilitation population.

OBJECTIVE: To analyse the relationship between the timed 'up and go' (TUG) and gait time in an elderly orthopaedic population, in order to determine whether additional useful information is obtained by measuring both. DESIGN: Observational study. SETTING: Jewish Rehabilitation Hospital, Laval, Quebec. SUBJECTS: Seventy-nine consecutive inpatients in the orthopaedic programme with a primary admitting diagnosis of either total hip replacement (THR), total knee replacement (TKR), or hip fracture repair. OUTCOME MEASURES: Timed 'up and go' and time to walk 10 metres. RESULTS: The admission correlation between gait time and TUG was r= 0.745. The correlation at discharge (r= 0.816) was higher than that seen on admission. The relationship between gait time and TUG was linear both at admission and discharge. The correlation between gait time and TUG was strong for patients with TKR at admission (r= 0.868) and discharge (r= 0.878), and for patients with THR, both at admission (r= 0.809) and discharge (r= 0.879). However, the correlation on admission was weaker for patients with hip fracture (r= 0.497). For slow walkers (people with a gait speed below 0.5 m/s) on admission, the correlation was moderate (r= 0.649). However, for those with gait speeds faster than or equal to 0.5 m/s, the correlation was weaker (r= 0.484). This discrepancy was no longer evident on discharge. Likewise, for patients with a fast TUG score (< 30 seconds) on admission, there was virtually no relationship between TUG and gait time (r= 0.084), although a good correlation was present for those with 'up and go' times longer than 30 seconds (r = 0.634). As with gait speed, this difference disappeared by discharge. CONCLUSIONS: The relationship between gait time and TUG in an elderly orthopaedic rehabilitation population is good, and its strength varies by specific diagnosis, mobility, and time point in the course of therapy. The two measures are not redundant in this population.

Aged↗
PubMed1999

Time and memory: towards a pacemaker-free theory of interval timing.

A popular view of interval timing in animals is that it is driven by a discrete pacemaker-accumulator mechanism that yields a linear scale for encoded time. But these mechanisms are fundamentally at odds with the Weber law property of interval timing, and experiments that support linear encoded time can be interpreted in other ways. We argue that the dominant pacemaker-accumulator theory, scalar expectancy theory (SET), fails to explain some basic properties of operant behavior on interval-timing procedures and can only accommodate a number of discrepancies by modifications and elaborations that raise questions about the entire theory. We propose an alternative that is based on principles of memory dynamics derived from the multiple-time-scale (MTS) model of habituation. The MTS timing model can account for data from a wide variety of time-related experiments: proportional and Weber law temporal discrimination, transient as well as persistent effects of reinforcement omission and reinforcement magnitude, bisection, the discrimination of relative as well as absolute duration, and the choose-short effect and its analogue in number-discrimination experiments. Resemblances between timing and counting are an automatic consequence of the model. We also argue that the transient and persistent effects of drugs on time estimates can be interpreted as well within MTS theory as in SET. Recent real-time physiological data conform in surprising detail to the assumptions of the MTS habituation model. Comparisons between the two views suggest a number of novel experiments.

Animals↗
PubMed1989

Decision time and movement time in depression: differential effects of practice before and after clinical improvement.

Choice reaction time involves, at least two components of response latency, decision time and movement time. Studies of choice reaction time usually provide values of these two components averaged over a given number of trials. The aim of the present study of depressed subjects was to investigate changes across practice on Decision Time (DT) and Movement Time (MT) before and after clinical improvement. 19 depressed subjects were given two sessions of 50 trials each, one before treatment (Di) and one after recovery (Df). Decision time and movement time exhibited quite different patterns. Decision time significantly decreased with clinical improvement. No significant variation across trials was found, in either session. Movement time values varied across trials but the variations observed on Di and Df were significantly different, whereas before treatment latencies recorded at the end of the session were greater than those scored at the start, the contrary was observed after clinical recovery. No significant difference was found between values of movement time scored at the start of the two sessions.

Adult↗
PubMed2003

SUV varies with time after injection in (18)F-FDG PET of breast cancer: characterization and method to adjust for time differences.

UNLABELLED: The purpose of this study was to measure how (18)F-FDG PET standardized uptake values (SUVs) change over time in breast cancer and to examine the feasibility of a method to adjust for modest variations in the time of uptake measurement experienced in clinical practice. METHODS: (18)F-FDG PET was performed as 60-min dynamic imaging with an additional image acquired at approximately 75 min after injection. For 20 newly diagnosed, untreated, locally advanced breast cancer patients, both the maximum SUV and the average SUV within the lesion were calculated with and without correction for blood glucose concentration. A linear regression analysis of the portion of the time-activity curves starting at 27 min after injection was used to estimate the rate of SUV change per minute during the interval from 27 to 75 min. The rate of SUV change with time was compared with the instantaneous SUV obtained at different times from 27 to 75 min. RESULTS: In untreated breast cancer, (18)F-FDG SUV values changed approximately linearly after 27 min at a rate ranging from -0.02 to 0.15 per minute. In addition, the rate of SUV change was linearly correlated with the instantaneous SUV measured at different times after injection (r(2) ranged from 0.82 to 0.94; P < 0.001). Using this information, an empirical linear model of SUV variation with time from injection to uptake measurement was formulated. The comparison method was then applied prospectively to a second set of 20 locally advanced breast cancer lesions not included in the initial analysis. The average percent error using the method to adjust for time differences was 8% and 5% for maximum SUVs and average SUVs ranging from 2 to 12. CONCLUSION: In untreated breast cancer, the SUV at any time point approximately predicts the rate of change of SUV over time. A comparison method based on this finding appears feasible and may improve the usefulness of the SUV by providing a means of comparing SUV acquired at different times after injection.

Adult↗
PubMed1994

Effects of time discrepancies between input and myocardial time-activity curves on estimates of regional myocardial perfusion with PET.

UNLABELLED: Estimates of myocardial perfusion with PET using kinetic models require faithful recording of radioactivity content in blood and myocardium. Typically the arterial time-activity curve is obtained by placing a region of interest (ROIs) within the left atrial or left ventricular cavity. However, curves generated from these regions appear earlier in time than tissue time-activity curves obtained from ROIs within the myocardial tissue, and such time discrepancies can lead to errors in flow estimates. METHODS: The magnitude of these time discrepancies and their effect on estimates of regional myocardial perfusion using oxygen-15-water were measured in 30 normal subjects evaluated at rest and again after administration of dipyridamole. RESULTS: Under baseline conditions, the left atrial curve appeared 0.97 +/- 0.67 (s.d.) before the ascending aorta input curve (p < 0.05) and estimated perfusion decreased from 1.28 +/- 0.28 ml/g/min using the left atrial curve uncorrected for time to 0.98 +/- 0.27 ml/g/min after correction (p < 0.05). After dipyridamole, the left atrial curve appeared 0.68 +/- 0.72 sec before the ascending aorta curve (p < 0.05) and estimated perfusion decreased from 3.60 +/- 1.40 ml/g/min using the left atrial curve uncorrected for time to 3.24 +/- 1.26 ml/g/min using the time-corrected curve (p < 0.05). Because the magnitude of time discrepancies between the left ventricular and ascending aortic curves was less (0.25 +/- 0.34 and 0.19 +/- 0.23 sec at rest and after dipyridamole, respectively), effects on flow estimates were more modest. CONCLUSIONS: The results of this study demonstrate that time discrepancies between input and tissue time-activity curves can affect estimates of myocardial flow. Correction for this potential source of error is proposed.

Adult↗
PubMed1996

Time perceptions and time allocation preferences among adolescent boys and girls.

How time is allocated between competing directed and nondirected activities can greatly define persona and lifestyle objectives. The important process of learning about time and the consequences of its various uses begins in childhood and adolescence, and provides the foundation for later life. This study examines whether girls differ from boys with regard to certain directed and nondirected types of time allocation preferences. Lifestyle objectives related to personal development (spending time), material achievement (selling time), social acceptance (giving time), and passive entertainment (passing or killing time), are explored using a time allocation preference model that defines a person's time investment portfolio. This study extends recent research by psychologists, sociologists, and anthropologists regarding the allocation and perception of time by examining student time allocation preferences and their association with teacher-observed behaviors in school. It was found that adolescent girls, whether considered by their teachers to exhibit at-risk or normal behaviors, seem to be less inclined toward nondirected activities and more toward other-directed activities. Boys seem to be more inclined toward nondirected activities. Being at risk as a school behavioral classification, is particularly associated with a large amount of nondirected activities in boys and large amounts of other-directed activities in girls.

Adolescent↗
PubMed1985

The generation time, lag time, and minimum temperature of growth of coliform organisms on meat, and the implications for codes of practice in abattoirs.

The growth of coliform organisms on meat tissue from sheep carcasses processed in a commercial abattoir was investigated. The results indicated that for practical purposes the minimum temperature of growth of these organisms on meat may be taken as 8 degrees C. Equations were derived relating the generation time and the lag time of coliform organisms in raw blended mutton to the temperature at which the meat is held. Estimates of growth obtained with these equations were found to agree closely with the experimental results, especially at temperatures above 10 degrees C, and allowed the generation times and the lag times for all temperatures up to 40 degrees C to be calculated. These times were also found to agree closely with the times determined using a strain of Escherichia coli inoculated into blended mutton tissue. A strain of Salmonella typhimurium inoculated in the same way into blended mutton tissue gave longer generation and lag times at temperatures below 15 degrees C. Therefore, it is believed that the calculated tables of lag and generation times included in this paper can be used to determine the length of time raw chilled meat may be held afterwards at temperatures above the minimum temperature of growth without an increase in the number of any salmonella organisms present, and these times include a safety margin at each temperature. The study indicates that the mandatory codes of practice presently applied in commercial abattoirs are too stringent. Maintaining the temperature of boning rooms at 10 degrees C or less does not appear to be necessary providing the meat is processed within the calculated time limits. A relaxation of the restrictions on boning room temperatures would decrease costs, increase worker comfort and safety and would not compromise the bacteriological safety of the meat produced.

Abattoirs↗
PubMed1982

Half-time analysis of the integrated Michaelis equation. Simulation and use of the half-time plot and its direct linear variant in the analysis of some alpha-chymotrypsin, papain- and fumarase-catalysed reactions.

Substitution of half-time parameters in the integrated form of the Michaelis-Menten equation for any enzyme-catalysed reaction yields an equation that gives a linear relationship between the half-time of the reaction and the substrate concentration at that point of the reaction. The logarithmic term of the integrated equation becomes a constant as a result of the substitution, which means that the use of the half-time plot of the equation requires calculation only of half-time and substrate-concentration values at various stages of the reaction. The half-time method is both simple and exact, being analogous to an [S(0)]/v(i) against [S(0)] plot. A direct linear form of the half-time plot has been devised that allows very simple estimation of Michaelis parameters and/or initial velocities from progress-curve data. This method involves no approximation and is statistically valid. Simulation studies have shown that linear-regression analysis of half-time plots provides unbiased estimates of the Michaelis parameters. Simulation of the effect of error in estimation of the product concentration at infinite time [P(infinity)] reveals that this is always a cause for concern, such errors being magnified approximately an order of magnitude in the estimate of the Michaelis constant. Both the half-time plot and the direct linear form have been applied to the analysis of a variety of experimental data. The method has been shown to produce excellent results provided certain simple rules are followed regarding criteria of experimental design. A set of rules has been formulated that, if followed, allows progress-curve data to be acquired and analysed in a reliable fashion. It is apparent that the use of modern spectrophotometers in carefully designed experiments allows the collection of data characterized by low noise and accurate [P(infinity)] estimates. [P(infinity)] values have been found, in the present work, to be precise to within +/-0.2% and noise levels have always been below 0.1% (signal-to-noise ratio approximately 1000). As a result of the considerations above, it is concluded that there is little to be feared with regard to the analysis of enzyme kinetics using complete progress curves, despite the generally lukewarm recommendations to be found in the literature. The saving in time, materials and experimental effort amply justify analysis of enzyme kinetics by progress-curve methods. Half-time plots linear to >/=90% of reaction have been obtained for some alpha-chymotrypsin-, papain- and fumarase-catalysed reactions.

Chymotrypsin↗
PubMed2005

Hierarchical structure of the energy landscape of proteins revisited by time series analysis. I. Mimicking protein dynamics in different time scales.

Time series models, which are constructed from the projections of the molecular-dynamics (MD) runs on principal components (modes), are used to mimic the dynamics of two proteins: tendamistat and immunity protein of colicin E7 (ImmE7). Four independent MD runs of tendamistat and three independent runs of ImmE7 protein in vacuum are used to investigate the energy landscapes of these proteins. It is found that mean-square displacements of residues along the modes in different time scales can be mimicked by time series models, which are utilized in dividing protein dynamics into different regimes with respect to the dominating motion type. The first two regimes constitute the dominance of intraminimum motions during the first 5 ps and the random walk motion in a hierarchically higher-level energy minimum, which comprise the initial time period of the trajectories up to 20-40 ps for tendamistat and 80-120 ps for ImmE7. These are also the time ranges within which the linear nonstationary time series are completely satisfactory in explaining protein dynamics. Encountering energy barriers enclosing higher-level energy minima constrains the random walk motion of the proteins, and pseudorelaxation processes at different levels of minima are detected in tendamistat, depending on the sampling window size. Correlation (relaxation) times of 30-40 ps and 150-200 ps are detected for two energy envelopes of successive levels for tendamistat, which gives an overall idea about the hierarchical structure of the energy landscape. However, it should be stressed that correlation times of the modes are highly variable with respect to conformational subspaces and sampling window sizes, indicating the absence of an actual relaxation. The random-walk step sizes and the time length of the second regime are used to illuminate an important difference between the dynamics of the two proteins, which cannot be clarified by the investigation of relaxation times alone: ImmE7 has lower-energy barriers enclosing the higher-level energy minimum, preventing the protein to relax and letting it move in a random-walk fashion for a longer period of time.

Colicins↗
PubMed2004

"I want more time with my doctor": a quantitative study of time and the consultation.

BACKGROUND: Although consultations have increased in length, patients still express dissatisfaction with how much time they spend with their doctor. OBJECTIVES: This study aimed to explore aspects of consultation time and to examine the correlates of patients' desire for more time. METHODS: A quantitative cross-sectional design was used. General practice patients from eight UK practices (n = 294) completed a questionnaire following a consultation regarding their satisfaction with the consultation, their beliefs about how long the consultation lasted (perceived time) and how long they would have preferred it to last (preferred time). The actual consultation length (real time) was recorded by the doctor. RESULTS: The majority of patients underestimated how long the consultation took, and a large minority stated that they would have preferred more time. When controlling for both real time and perceived time, a preference for more time was correlated with a dissatisfaction with the emotional aspects of the consultation and a lower intention to comply with the doctors recommendations. It was unrelated to satisfaction with the information giving and examination components of the consultation. CONCLUSION: Patients' dissatisfaction with consultation length could be managed by making consultations longer. Alternatively, it could also be managed by changing how a given time is spent. In particular, a doctor who listens and tries to understand their patient may make the patient feel more satisfied with the consultation length and subsequently more motivated to follow any recommendations for change.

Appointments and Schedules↗