tlo.methods.healthseekingbehaviour module

Health Seeking Behaviour Module This module determines if care is sought once a symptom is developed.

The write-up of these estimates is: Health-seeking behaviour estimates for adults and children.docx

class HealthSeekingBehaviour(name=None, resourcefilepath=None, force_any_symptom_to_lead_to_healthcareseeking=None)

This modules determines if the onset of symptoms will lead to that person presenting at the health facility for a HSI_GenericFirstAppointment.

An equation gives the probability of seeking care in response to the “average” symptom. This is modified according to if the symptom is associated with a particular effect.

Bases: tlo.core.Module

PARAMETERS:

Item	Type	Description
force_any_symptom_to_lead_to_healthcareseeking	BOOL	Whether every symptom [except those that declare they should not lead to any healthcare seeking] should always lead to healthcare seeking immediately.
prob_non_emergency_care_seeking_by_level	LIST	The probability of going to each facility-level when non-emergency care is sought. The values in the list are the probabilities of going to facility level 0 / 1a / 1b / 2, respectively, and these values must sum to 1.0.
baseline_odds_of_healthcareseeking_children	REAL	odds of health-care seeking (children: 0-14) if male, 0-5 years-old, living in a rural setting in the Northern region, and not in the wealth categories 4 or 5
odds_ratio_children_sex_Female	REAL	odds ratio for health-care seeking (children) if sex is Female
odds_ratio_children_age_5to14	REAL	odds ratio for health-care seeking (children) if aged 5-14
odds_ratio_children_setting_urban	REAL	odds ratio for health-care seeking (children) if setting is Urban
odds_ratio_children_region_Central	REAL	odds ratio for health-care seeking (children) if region is Central
odds_ratio_children_region_Southern	REAL	odds ratio for health-care seeking (children) if region is Southern
odds_ratio_children_wealth_higher	REAL	odds ratio for health-care seeking (children) if wealth is in categories 4 or 5
baseline_odds_of_healthcareseeking_adults	REAL	odds of health-care seeking (adults: 15+) if male, 15-34 year-olds, living in a rural setting in the Northern region, and not in the wealth categories 4 or 5.
odds_ratio_adults_sex_Female	REAL	odds ratio for health-care seeking (adults) if sex is Female
odds_ratio_adults_age_35to59	REAL	odds ratio for health-care seeking (adults) if aged 35-59
odds_ratio_adults_age_60plus	REAL	odds ratio for health-care seeking (adults) if aged 60+
odds_ratio_adults_setting_urban	REAL	odds ratio for health-care seeking (adults) if setting is Urban
odds_ratio_adults_region_Central	REAL	odds ratio for health-care seeking (adults) if region is Central
odds_ratio_adults_region_Southern	REAL	odds ratio for health-care seeking (adults) if region is Southern
odds_ratio_adults_wealth_higher	REAL	odds ratio for health-care seeking (adults) if wealth is in categories 4 or 5
max_days_delay_to_generic_HSI_after_symptoms	INT	Maximum days delay between symptom onset and firstgeneric HSI. Actual delay is sample between 0 and this value.

Class attributes:

ADDITIONAL_DEPENDENCIES : {‘Lifestyle’}

INIT_DEPENDENCIES : {‘SymptomManager’, ‘HealthSystem’, ‘Demography’}

METADATA : {<Metadata.USES_HEALTHSYSTEM: 3>}

force_any_symptom_to_lead_to_healthcareseeking : <property object at 0x7ff64efca400>

Functions (defined or overridden in class HealthSeekingBehaviour):

__init__(name=None, resourcefilepath=None, force_any_symptom_to_lead_to_healthcareseeking=None)

Construct a new disease module ready to be included in a simulation.

Initialises an empty parameters dictionary and module-specific random number generator.

Parameters:

name – the name to use for this module. Defaults to the concrete subclass’ name.

read_parameters(data_folder)

Read in ResourceFile

initialise_population(population)

Nothing to initialise in the population

initialise_simulation(sim)

• define the linear models that govern healthcare seeking

• set the first occurrence of the repeating HealthSeekingBehaviourPoll

• assemble the health-care seeking information from the registered symptoms

on_birth(mother_id, child_id)

Nothing to handle on_birth

define_linear_models()

Define linear models for health seeking behaviour for children and adults

class HealthSeekingBehaviourPoll(module)

This event occurs every day and determines if persons with newly onset symptoms will seek care.

Bases: tlo.events.RegularEvent, tlo.events.Event, tlo.events.PopulationScopeEventMixin

Functions (defined or overridden in class HealthSeekingBehaviourPoll):

__init__(module)

Initialise the HealthSeekingBehaviourPoll :param module: the module that created this event

static _has_any_symptoms(persons, symptoms)

Which rows in persons have non-zero values for columns in symptoms.

apply(population)

Determine if persons with newly onset acute generic symptoms will seek care. This event runs second-to-last every day (i.e., just before the HealthSystemScheduler) in order that symptoms arising this day can lead to FirstAttendance on the same day.

Parameters:

population – the current population