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Effective for dates of service on or after the effective date of this rule, eligible providers of hospital services as defined in rule of the Administrative Code and assigned to prospective payment peer group as described in rule of the Administrative Code are subject to the enhanced ambulatory patient grouping system EAPG prospective payment methodology utilized by the Ohio department of medicaid as described in this rule.

A Definitions. The appropriate percentage fifty or one hundred per cent will be applied to the highest weighted of the multiple procedures or ancillary services payment group.

The department classifies all hospitals not excluded in rule of the Administrative Code into one of the mutually exclusive peer groups defined in this paragraph. The interim period will begin on the effective date of this rule and will last at least six months.

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For an invoice encompassing more than one date of service, each date will be processed separately as an individual claim. An invoice should be limited to thirty calendar days. B EAPG payment formula.

For dates of service during the interim period, total EAPG payment is the product of the following for each detail line:. C Sources for inputs in the payment formula. The dataset used as inputs in the payment formula and determination of relative weights established for dates of service on or after the effective date of this rule consists of:. The inflation factors were used to inflate the total cost computed for each case inflating it to June 30, D Computation of case mix adjusted average cost per case base rate.

E Risk corridors. Effective for discharges on or after the effective date of this rule, the department will apply the following to Ohio hospital peer groups:. Claims submitted with modifier UB are subject to the following payment methodology: i Charges listed in line items that carry revenue center codes X or with a provider administered HCPCS J-code or Q-code will pay in accordance to the provider-administered pharmaceutical fee schedule. Reimbursement for items assigned to a dental service EAPG type will be paid as follows:.

However, no payment will be made for vaccines that can be obtained at no cost through the federal VFC program.

H Not withstanding rule of the Administrative Code, payment for acupuncture services is limited to the treatment of low back pain and migraine headaches.

65, 3 (2013), 364–372 september 2013 relative ext

I Payment neutrality. S earch OAC:. Ohio Revised Code Home Help. For dates of service during the interim period, total EAPG payment is the product of the following for each detail line: 1 Hospital-specific base rate adjusted for payment neutrality as described in paragraph I of this rule; multiplied by 2 EAPG relative weight for which the service was assigned by the EAPG grouper, rounded to the nearest whole cent; 3 Multiply the product of paragraph B 2 of this rule by the applicable discounting factor s as defined in paragraph A 4 of this rule; a Laboratory services billed with valid HCPCS code s,or shall be reimbursed the lesser of charges or the assigned EAPG payment.

The dataset used as inputs in the payment formula and determination of relative weights established for dates of service on or after the effective date of this rule consists of: 1 All outpatient hospital claims with dates of service from October 1, through September 30, ; 2 Cost reports submitted by hospitals to the department on its Ohio medicaid hospital cost report for the hospital years that end in state fiscal years ODM rev.

Effective for discharges on or after the effective date of this rule, the department will apply the following to Ohio hospital peer groups: 1 The peer group base rate calculated in paragraph D of this rule if the peer group base rate does not result in more than a zero per cent reduction or five per cent gain in payments compared to the prospective payment system in effect prior to the effective date of this rule; or 2 A hospital-specific base rate established to ensure the new peer group base rate does not result in more than a zero per cent reduction or five per cent gain in payments compared to the prior prospective payment system.

F Computation of relative weights. Reimbursement for items assigned to a dental service EAPG type will be paid as follows: a Children's hospitals, as defined in rule of the Administrative Code, will be paid one-thousand sixty-two dollars.

P rev N ext.Table S1. Behavioral and phenomenological measures for Congruent and Incongruent future imagination conditions. Autobiographical memories of past events and imaginations of future scenarios comprise both episodic and semantic content. Yet previous studies performing such correlations were limited by aggregating data across all events generated by an individual, potentially obscuring the underlying relationship within the events themselves.

In the current paper we reanalyzed datasets from eight published studies using a multilevel approach, allowing us to explore the relationship between internal and external details within events.

We also examined whether this relationship changes with healthy aging. Our reanalyses demonstrated a largely negative relationship between the internal and external details produced when describing autobiographical memories and future imaginations.

This negative relationship was stronger and more consistent for older adults, and was evident both in direct and indirect measures of semantic content. Moreover, this relationship appears to be specific to episodic tasks, as no relationship was observed for a non-episodic picture description task. This negative association suggests that people do not generate semantic information indiscriminately, but do so in a compensatory manner, to embellish episodically impoverished events.

Our reanalysis further lends support for dissociable processes underpinning episodic and semantic information generation when remembering and imagining autobiographical events. Yet the nature of the relationship between processes supporting the generation of episodic and semantic content when retrieving or simulating personal events is unclear. Correlations between the amount of episodic and semantic information people generate when describing autobiographical events cf.

Levine et al. If the mechanisms underpinning episodic and semantic information production are stochastically independent of one another, no correlation between the two types of information would be expected. However, if these constructs rely on similar mechanisms, a positive correlation would be expected between production of episodic and semantic information.

Events that are high in episodic content may require a more extensive underlying semantic framework, and so the production of more episodic information would be accompanied with higher amounts of semantic information. In contrast, a negative relationship would indicate a dependence between distinct mechanisms underpinning the generation of episodic and semantic content. If construction of a memory or imagination is terminated before a specific event is reached, the resulting event should contain more semantic and less episodic information, and vice versa for when a specific event is successfully retrieved.

Four recent studies have addressed this issue by examining the relationship between types of information produced during an autobiographical interview AI; adapted from Levine et al.During grain fill, the developing kernels are the primary sink for concurrent photosynthate produced by the corn plant. What this means is that the photosynthate demands of the developing kernels will take precedence over that of much of the rest of the plant. In essence, the plant will do all it can to "pump" dry matter into the kernels, sometimes at the expense of the health and maintenance of other plant parts including the roots and lower stalk.

A stress-free grain fill period can maximize the yield potential of a crop, while severe stress during grain fill can cause kernel abortion or lightweight grain and encourage the development of stalk rot. The health of the upper leaf canopy is particularly important for achieving maximum grain filling capacity.

Kernel development proceeds through several distinct stages that were originally described by Hanway and most recently by Abendroth et al. Delayed planting of corn decreases the apparent thermal time GDDs required between planting and physiological maturity Nielsen, A large proportion of that decrease occurs during grain filling and may be partially related to shorter and cooler days in late September and October that naturally slow photosynthesis and encourage plant senescence.

Silk emergence is technically the first recognized stage of the reproductive period. Every ovule potential kernel on the ear develops its own silk the functional stigma of the female flower.

Silks begin to elongate soon after the V12 leaf stage 12 leaves with visible leaf collarsbeginning with the ovules near the base of the cob and then sequentially up the cob, with the tip ovules silking last. Consequently, the silks from the base half of the ear are typically the first to emerge from the husk leaves. Turgor pressure "fuels" the elongation of the silks and so severe drought stress often delays silk elongation and emergence from the husk leaves.

Silks elongate about 1. Silks continue to elongate until pollen grains are captured and germinate or until they simply deteriorate with age. Silks remain receptive to pollen grain germination for up to 10 days after silk emergence Nielsen, bbut deteriorate quickly after about the first 5 days of emergence. Natural senescence of silk tissue over time results in collapsed tissue that restricts continued growth of the pollen tube. Silk emergence usually occurs in close synchrony with pollen shed Nielsen, cso that duration of silk receptivity is normally not a concern.

Failure of silks to emerge in the first place for example, in response to silkballing or severe drought stress does not bode well for successful pollination. Pollen grains "captured" by silks quickly germinate and develop pollen tubes that penetrate the silk tissue and elongate to the ovule within about 24 hours. The pollen tubes contain the male gametes that eventually fertilize the ovules. Within about 24 hours or so after successfully fertilizing an ovule, the attached silk deteriorates at the base, collapses, and drops away.

This fact can be used to determine fertilization success before visible kernel development occurs Nielsen, a. About 10 to 12 days after silking, the developing kernels are whitish "blisters" on the cob and contain abundant clear fluid. The ear silks are mostly brown and drying rapidly. Some starch is beginning to accumulate in the endosperm. The radicle root, coleoptile, and first embryonic leaf have formed in the embryo by the blister stage.

Severe stress can easily abort kernels at pre-blister and blister stages. Kernel moisture content at the beginning of R2 is approximately 85 percent. For late April to early May plantings in Indiana, the thermal time from blister stage to physiological maturity is approximately GDDs Brown, About 18 to 20 days after silking, the kernels are mostly yellow and contain "milky" white fluid.

The milk stage of development is the infamous "roasting ear" stage, when you will find die-hard corn aficionados standing out in their field nibbling on these delectable morsels. Starch continues to accumulate in the endosperm. Endosperm cell division is nearly complete and continued growth is mostly due to cell expansion and starch accumulation.Perhaps because it was one of the first formulas I mastered.

It gave me an insight into the power of Excel and how it could help me in my job. In the list below we want to calculate a commission in column F for each builder. However, each builder has a specific commission rate they are entitled to. On the other hand, if we told Excel it was ok to not find an exact match, it would return the next best result.

This is called an absolute reference. Absolute references allow us to quickly copy the formula down column F without Excel dynamically updating the table range as we copy. And in seconds we can have hundreds of calculations done! Basically, Excel reads text prefixed with an apostrophe as different to text without.

Even though on the face of the spreadsheet they might look the same. You need to make sure both the value you're looking up, and the value in the table either both have the apostrophe, or both don't. Download the Excel workbook used in this example so you can practice to make sure you really get it and can take advantage of its power.

Note: This is a. Please ensure your browser doesn't change the file extension on download. Check out this list of our best VLookup tutorials. Your email address will not be published. Save my name, email, and website in this browser for the next time I comment.

Leave this field empty. That is not a valid formula. The set of double quotes should not be there and you are using the same range for the lookup vector and the result vector.

Something like this would work. Changing the first argument the lookup value can affect the result but it will depend on what your input vector and result vector values are. If the first argument is not found, the result is the smallest value nearest the lookup value. Phil, Thank you for your prompt reply. There was a typo in the formula I presented. The goal was to lookup the last non-blank entry in a designated range and then return the corresponding entry in a second designated range.

It seems to count over to the last non-blank entry in row 8 and then returns the corresponding entry in the same column second designated range.

If you need more help please start a forum topic so I can send you a workbook with an example of this.Definition of table data see notes after table for additional information : Live births Abortions, reported includes official data from the national statistics office with some data from provincial agencies. Abortions AWR are combined reported and estimated abortion occurrences from the Abortion Worldwide Report working papers.

Abortion ratio is abortions per live births. Abortion rate is abortions per women ages Notes: Official data may be incomplete. Parenthetical figures are estimates, some of which are derived from reported data. Some miscarriage data includes only stillbirths, some data includes known early miscarriages, thus this series is not a consistent time series.

Abortion rates may be based on a mix of national or provincial agency data and thus may not represent a consistent time series. Canadian Institute for Health Information, 14 Dec. Canadian Institute for Health Information, 28 Oct.

Paxton, John, ed. Statistics Canada, 12 Dec. Statistics Canada, 21 Aug. Statistics Canada, Oct. Statistics Canada, Sept. Statistics Canada, 26 Sept.

Canadian Institute for Health Information, 21 Feb.Despite their popularity, little research has been performed on lightly cooked and raw diet formats for pets. Therefore, the objective of this study was to determine the apparent total-tract macronutrient digestibility ATTD ; fecal characteristics, metabolites, and microbiota; serum chemistry metabolites; urinalysis; and voluntary physical activity levels of adult dogs fed commercial diets differing in processing type.

Each period consisted of 28 d, with a d adaptation phase followed by a 7-d phase for measuring voluntary physical activity, 1-d adaptation phase to metabolic cages, 5-d phase for fecal and urine collection, and 1 d for blood collection. Except for microbiota, all data were analyzed statistically by mixed models using SAS.

All diets were well tolerated and dogs remained healthy throughout the study. In conclusion, the lightly cooked and raw diets tested were highly palatable, highly digestible, reduced blood triglycerides, maintained fecal quality and serum chemistry, and modified the fecal microbial community of healthy adult dogs. Most users should sign in with their email address. If you originally registered with a username please use that to sign in.

Oxford University Press is a department of the University of Oxford. It furthers the University's objective of excellence in research, scholarship, and education by publishing worldwide. Sign In or Create an Account. Sign In. Advanced Search. Search Menu. Article Navigation. Close mobile search navigation Article Navigation. Volume Apparent total-tract macronutrient digestibility, serum chemistry, urinalysis, and fecal characteristics, metabolites and microbiota of adult dogs fed extruded, mildly cooked, and raw diets Kiley M AlgyaKiley M Algya.

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Oxford Academic. Google Scholar.

65, 3 (2013), 364–372 september 2013 relative ext

Tzu-Wen L Cross. Kristen N Leuck. Megan E Kastner. Toshiro Baba. Lynn Lye. Maria R C de Godoy. Kelly S Swanson.Practices were randomly allocated to either an intervention or standard care arm in the influenza season September to December. Practices in the intervention arm were asked to send a text message influenza vaccination reminder to their at-risk patients under Practices in the standard care arm were asked to continue their influenza campaign as planned.

Practices were not blinded. Analysis was performed blinded to practice allocation. The text message increased absolute vaccine uptake by 2. Within intervention clusters, a median The number needed to treat was 7. Patient follow-up using routine electronic health records is a low cost method of conducting cluster randomised trials. Text messaging reminders are likely to result in modest improvements in influenza vaccine uptake, but levels of patients being texted need to markedly increase if text messaging reminders are to have much effect.

Text messaging is already commonly used in general practice to remind patients about receiving their influenza vaccine, but this study is the first to estimate the effectiveness of this intervention.

The proportion of patients whose mobile telephone numbers are recorded by their general practice is low, limiting the power of our study to detect an effect. Using routinely recorded electronic health records to ascertain outcome data was a novel, low-cost method of trial data collection. Vaccination reminders by letter, postcard and telephone have shown to be effective, 6 7 but these interventions become costly when there are large numbers of at-risk patients.

In the — influenza season, text messages were used in roughly a third of practices for influenza vaccination reminders 9 but there is no evidence that this strategy increases uptake in primary care. An emerging trial methodology utilises routinely collected electronic health record sources to ascertain outcome data, at far lower cost than traditional methods of data collection. Therefore we performed a cluster randomised trial in English primary care, embedded within routine electronic health records, to determine the effectiveness of text message influenza vaccination reminders in increasing influenza vaccination uptake among the at-risk under 65s.

Randomising individuals within practices would have been logistically complex and so a cluster design was chosen to reduce the burden to practices of participating in our trial.

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Further details of our methods have been described previously in our published protocol, 11 and the formal study protocol is available in online supplementary appendix 1. This was a two arm, pragmatic, cluster randomised trial, with general practices as clusters allocated in a ratio to each arm. Practices were recruited between July and October Eligibility of CPRD practices was determined based on the routinely recorded data and only practices meeting the criteria were invited.

This comprises patients who are under 65 with chronic heart disease, chronic neurological disease, diabetes, chronic kidney disease, chronic liver disease, chronic respiratory disease and immunosuppression, as set out by the Chief Medical Officer.

Practices are able to identify these individuals as part of routine care, as these patients are targeted for seasonal influenza vaccination. Patients were excluded from the study if they transferred out of the practice or died before the end of data collection 31 December Consent was gained from the general practitioner at each general practice, before randomisation had taken place.

Patients did not provide consent to be part of this trial. The trial co-ordinator enrolled general practices and informed the practices of their allocation.

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Practices were allocated to either a standard care arm or an intervention arm. In the standard care arm, practices were asked to continue with their seasonal influenza vaccination campaign as planned, typically using measures such as posters in the practice and letters to patients. This required practices to perform two steps: 1 identify eligible patients: most clinical software systems have algorithms to identify eligible patients and practices were encouraged to use these; 2 send a tailored text message to these patients using software embedded in the electronic health record.

Practices were instructed to send one text message to their patients at the start of their seasonal influenza campaign, but were free to send additional messages later in the season if they chose to.

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Details of the intervention delivery, including which member of staff sent the text message, the time of day the messages were sent, and whether messages were sent in bulk or individually were left to the discretion of the practice though guidance was provided in the step by step instructions. After enrolment to the trial, practices were randomly allocated to the standard care arm or the intervention influenza text messaging reminder arm.

Block randomisation, using block sizes of 2, 4 and 6, was performed. The allocation sequence was generated by an independent statistician who was blind to practice name. The trial co-ordinator, who enrolled the practices and informed them of their allocation, was unaware of the allocation until a complete block had been randomised.

It was not possible to blind practices to their allocation but data management and analysis were performed blind to allocation. This time period would have captured the majority of influenza vaccinations. Secondary outcomes were 1 the proportion of eligible patients sent a text message, and 2 outcomes used to establish the feasibility of our methods, including the rate of recruitment, adherence to the text messaging protocol, adverse events and problems with message delivery, availability of electronic health record data, and the time and cost required to gather data.

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